Wan 2.1 Ultra Advanced Gradio APP for - Works as low as 4GB VRAM - 1-Click Installers for Windows, RunPod, Massed Compute - Batch Processing - T2V - I2V - V2V

sorry for this error. get Wan21_v72.zip extract all files and overwrite previous files. enter inside wan 2.1 folder delete venv folder. then return back and then run Windows_Install_Or_Update.bat . this should fix your issues

Furkan Gözükara

Awesome tuorial. However I got strange error when launch app: Traceback (most recent call last): File "I:\wan2\Wan2.1\App.py", line 24, in import cv2 File "I:\wan2\Wan2.1\venv\lib\site-packages\cv2\__init__.py", line 181, in bootstrap() File "I:\wan2\Wan2.1\venv\lib\site-packages\cv2\__init__.py", line 153, in bootstrap native_module = importlib.import_module("cv2") File "C:\Users\asste\AppData\Local\Programs\Python\Python310\lib\importlib\__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) ImportError: DLL load failed while importing cv2:

Sqit

hi it still did save it. this is gradio error. just checkout the outputs folder

Furkan Gözükara

Hi mate, I literally had a thrilling moment after 50/50 [3:59:42<00:00, 287.65 s/it] said, "Error Connection error occurred." \o/ what could cause this ? No any log available. All UI Windows show Error

Thorben

this app has it but for wan 2.2 swarmui has a feature which i havent tested yet. it is called as Video Extend. enable Display Advanced Options and look main tabs

Furkan Gözükara

Do you have any guides to extend the length of generated videos. Like maybe load a 5 second wan 2.2 video, generate another 5 seconds and stitch the two videos together?

Robert K

currently only available in swarmui. we may add to this later. i am currently focused on video upscaler app

Furkan Gözükara

Will WAN 2.1 FusionX be installed in this software, or is it only available in Swarm UI?

Alexandr Mishuk

Any thoughts how to fix easydict?

Cacoia Mecoia

we have tutorial already : https://youtu.be/Xbn93GRQKsQ fusionx + new loras or base + new loras you can try. all are in swarmui model downloader added with presets

Furkan Gözükara

Hi Furkan, just to clarify: Wan FusionX (no separate file for 480/720p) is the best method for image to video for now? so no need for older tutorial with base wan 2.1 model, or wan 2.1 and phantom lora or causvid lora? or is phantom lora best in combination with base model? could you do a ranking?

Chris

Hello, I have been using Stable Diffusion for a while, and now I just installed WAN2.1 with environment described in this post, but running Start_APP.bat shows me the message: Traceback (most recent call last): File "C:\Users\user\Downloads\Wan21_v68_2\Wan2.1\App.py", line 26, in import wan File "C:\Users\user\Downloads\Wan21_v68_2\Wan2.1\wan\__init__.py", line 1, in from . import configs, distributed, modules File "C:\Users\user\Downloads\Wan21_v68_2\Wan2.1\wan\configs\__init__.py", line 7, in from .wan_i2v_14B import i2v_14B File "C:\Users\user\Downloads\Wan21_v68_2\Wan2.1\wan\configs\wan_i2v_14B.py", line 3, in from easydict import EasyDict ModuleNotFoundError: No module named 'easydict' Press any key to continue . . . I already tried pip install easydict, which seems to be ok: Microsoft Windows [Version 10.0.22631.5624] (c) Microsoft Corporation. All rights reserved. C:\Users\user>pip install easydict Requirement already satisfied: easydict in c:\python310\lib\site-packages (1.13) Please help. Thanks! Gabriel

Cacoia Mecoia

it is gradio error. i just fixed it in remote repo. other error is download model related. i am making a fresh install again to verify . a model download might have failed for any reason

Furkan Gözükara

Hello, I'm testing your interface for the first time, but I’ve encountered several blocking issues — some of which I’ve managed to partially fix. 1. Web interface not loading (blank page on launch) When launching the tool using the provided .bat file, the browser opened a blank (white) page and nothing was rendered. What I did to fix it: I manually edited the .bat script to: navigate to the correct folder containing app.py, activate the virtual environment (venv\Scripts\activate.bat), and launch app.py directly. After this change, the interface loads properly in the browser. 2. Gradio version issue I was initially using Gradio 5.36.2, which caused UI or loading issues when launching the app. Solution: I downgraded to an older, compatible version of Gradio (3.x), which resolved the UI problems and allowed the interface to display correctly. 3. CLIP model .pth fails to load Once the interface works, triggering a generation results in an error related to loading the CLIP model. Model file used: models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth The file exists, It’s correctly named, File size is about 4.6 GB, I’ve placed it in all relevant model folders used by the app. Error message: The model is empty or unreadable (state_dict is empty or missing when using torch.load()). My questions: Is this .pth file compatible with your tool? If not, is there an official download link for a verified version of the model? Which exact version of Gradio do you recommend for full compatibility? I'm running this on a machine with an NVIDIA RTX 5090, so GPU compatibility should not be an issue. Thanks in advance for your help!

lp

hi model downloads failed. please redownload model and pay attention. make sure that your machine has enough free disk space also use Wan21_v68_2.zip

Furkan Gözükara

File "/home/Ubuntu/Downloads/Wan21_v68_2/Wan2.1/DiffSynth-Studio/diffsynth/models/model_manager.py", line 423, in load_model if model_detector.match(file_path, state_dict): File "/home/Ubuntu/Downloads/Wan21_v68_2/Wan2.1/DiffSynth-Studio/diffsynth/models/model_manager.py", line 167, in match if len(state_dict) == 0: TypeError: object of type 'NoneType' has no len() I am getting this error during video generation. Also I was getting following when 2nd command had been executed. "Folder 'xlm-roberta-large' not found in Wan2.1/models/Wan-AI/Wan2.1-T2V-14B; skipping copy." Enter your choice (1-6): 4 Phase 1: Downloading specific files for Wan-AI/Wan2.1-T2V-14B from IntervitensInc/Wan2.1-T2V-14B-FP16 ... .gitattributes: 2.35kB [00:00, 8.53MB/s] LICENSE.txt: 11.4kB [00:00, 43.0MB/s] README.md: 15.6kB [00:00, 63.7MB/s] .DS_Store: 100%|███████████████████████████| 6.15k/6.15k [00:00<00:00, 42.6MB/s] assets/comp_effic.png: 100%|███████████████| 1.60M/1.60M [00:00<00:00, 3.07MB/s] assets/data_for_diff_stage.jpg: 100%|████████| 528k/528k [00:00<00:00, 1.88MB/s] assets/i2v_res.png: 100%|████████████████████| 892k/892k [00:00<00:00, 3.24MB/s] assets/input.png: 100%|████████████████████| 1.07M/1.07M [00:00<00:00, 3.81MB/s] logo.png: 100%|████████████████████████████| 56.3k/56.3k [00:00<00:00, 2.81MB/s] assets/t2v_res.jpg: 100%|████████████████████| 301k/301k [00:00<00:00, 1.19MB/s] assets/vben_1.3b_vs_sota.png: 100%|██████████| 516k/516k [00:00<00:00, 1.97MB/s] assets/vben_vs_sota.png: 100%|███████████████| 584k/584k [00:00<00:00, 1.67MB/s] assets/video_dit_arch.jpg: 100%|█████████████| 643k/643k [00:00<00:00, 1.73MB/s] assets/video_vae_res.jpg: 100%|███████████████| 212k/212k [00:00<00:00, 612kB/s] config.json: 100%|█████████████████████████████| 250/250 [00:00<00:00, 2.67MB/s] diffusion_pytorch_model-00001-of-00006.s(…): 100%|█| 4.94G/4.94G [00:09<00:00, 5 diffusion_pytorch_model-00002-of-00006.s(…): 100%|█| 4.92G/4.92G [00:07<00:00, 6 diffusion_pytorch_model-00003-of-00006.s(…): 100%|█| 4.92G/4.92G [00:10<00:00, 4 diffusion_pytorch_model-00004-of-00006.s(…): 100%|█| 4.92G/4.92G [00:10<00:00, 4 diffusion_pytorch_model-00005-of-00006.s(…): 100%|█| 4.92G/4.92G [00:10<00:00, 4 diffusion_pytorch_model-00006-of-00006.s(…): 100%|█| 3.96G/3.96G [00:08<00:00, 4 (…)ion_pytorch_model.safetensors.index.json: 96.8kB [00:00, 149MB/s] examples/i2v_input.JPG: 100%|█████████████████| 251k/251k [00:00<00:00, 742kB/s] special_tokens_map.json: 6.62kB [00:00, 27.3MB/s] google/umt5-xxl/spiece.model: 100%|████████| 4.55M/4.55M [00:00<00:00, 9.88MB/s] google/umt5-xxl/tokenizer.json: 100%|██████| 16.8M/16.8M [00:00<00:00, 33.7MB/s] tokenizer_config.json: 61.7kB [00:00, 148MB/s] Phase 1 complete for Wan-AI/Wan2.1-T2V-14B. Phase 2: Downloading common files for Wan-AI/Wan2.1-T2V-14B from IntervitensInc/Wan2.1-T2V-14B-FP16 ... Wan2.1_VAE.pth: 100%|█████████████████████████| 508M/508M [00:01<00:00, 310MB/s] models_t5_umt5-xxl-enc-bf16.pth: 100%|██████| 11.4G/11.4G [00:35<00:00, 322MB/s] Phase 2 complete for Wan-AI/Wan2.1-T2V-14B. Copied folder 'google' from Wan2.1/models/Wan-AI/Wan2.1-T2V-14B to Wan2.1/models. Folder 'xlm-roberta-large' not found in Wan2.1/models/Wan-AI/Wan2.1-T2V-14B; skipping copy. Press Enter to exit...

Ritan Mohajan

Ok just to update, I managed to get it working now. Basically everything has to be installed on C: drive. Previously I had installed some components on C: drive and the app installed on D: drive. Now after I changed everything to C: it works fine.

Eon Kalpa

Help! I have installed and started the app. I'm doing WAN 2.1 14B i2V 480p with torch.float8_e3m3fn. I'm using RTX5090 card with 32GB VRAM. Generating just 5sec videos from an image. All the videos generated are just black screens. Tried 50 inference steps and 20 inference steps. Quality=5. What am I doing wrong?

Eon Kalpa

your python is wrong. please follow requirements video exactly : https://youtu.be/DrhUHnYfwC0

Furkan Gözükara

I have problem running Windows_Download_Models.bat. The error is [INFO] Downloading selected model(s)... Traceback (most recent call last): File "D:\Wan21_v68_2\Download_Models.py", line 4, in from huggingface_hub import snapshot_download ModuleNotFoundError: No module named 'huggingface_hub' Please help me!

Eon Kalpa

sadly you have no chance to run. your best case is using massed compute or runpod. i recommend massed compute

Furkan Gözükara

Hi! first of all thank you for your tutorials are amazing! I got a very low end laptop, well as good specs but a very limited video card in this case an T1200 nvidia 4gb vram is a workstation. The thing is when I ran Wan2.1 gets to the UI but then no matter what I do gets an error. when I check the cmd shows ValueError: Unsupported CUDA architecture: sm75, this is somethign I can fix with drivers or it's the Wan model that not support this card? thanks in advance

Acid Hunter

i am about to publish a tutorial for it recorded

Furkan Gözükara

Hi do you have any plans to implement the new Wan 2.1 FusionX models into this gradio version , I'm struggling to get them to work in ComfyUI, even trying the GGUF models.

Stevie Tee

not atm sadly. but we have batch processing. also open same url in second tab set and hit generate and gradio will auto queue. this works with all gradio apps

Furkan Gözükara

Can you add queuing like you have in framepack?

James P

ye something wrong i dont know what atm . can you try this tutorial ? https://youtu.be/1rAwZv0hEcU

Furkan Gözükara

Installed this a couple of times already, my problems are still the same, even with 3090 it takes way longer then framepack and quality is so bad i can't even see what was created.. Check the example, all i get is things like this (picture to video 480p version) https://youtu.be/g8v3tdsbXjI for the first part, i had it set to extend but fell a sleep and woke up to this : https://www.youtube.com/watch?v=oXxU-YWI6vw, it gets a little better at the end but still looks afwul :(

koon grizzly

for VACE i will cover another tutorial hopefully soon

Furkan Gözükara

Wait... NO VACE IMPLEMENTATION??? Then why bother? This is June 2025, Video-2-Video is the ONLY way to go. Okay, canceling my membership again jeezzz....

Fernando

it was my mistake sorry about that. updated the announcement not working in our app yet. currently can be used in swarmui : https://youtu.be/1rAwZv0hEcU

Furkan Gözükara

CPU threading optimized: using 16 threads Cannot load LoRA: LoRAs\Wan21_CausVid_14B_T2V_lora_rank32_v2.safetensors Using wan_video_text_encoder from models\models_t5_umt5-xxl-enc-bf16.pth.

Iván López

In my case, in the logs there is a message saying that lora was not capable to be loaded. The result was awful with respect of the Swarm UI version. I did nothing out of the regular steps...

Iván López

Can we use fast preset for causvid in you gradio app, or better leave the defaults as they are?

Chris

i prefer 16 and doing 2x RIFE

Furkan Gözükara

Hi Furkan, here it says to set FPS at 24, your tutorial says set FPS to 16. Which one do you prefer? https://github.com/mcmonkeyprojects/SwarmUI/blob/master/docs/Video%20Model%20Support.md#wan-causvid---high-speed-14b

Chris

nope you dont need to just download the lora model and use

Furkan Gözükara

Is there any difference between wan21_v68 setup and wan21_v68_2 except the new lora model? Do I need to reinstall from v68 to v68_2? Most probably no, sorry if I my question has been already answered before.

Firat Güven

set the quality parameter to 10. i just did it and made it default

Furkan Gözükara

@SECourses Using latest installer Wan21_V68_2 VM Massed Compute. I found the WAN 14B i2v output poor quality. The bitrate data rate of video output 5 second video 480p resolution was barely over 1000kbps and only 1Mb in size. Compare to previous installer v68 the bitrate was much higher 4000+ and larger file size 2 to 3Mb much better quality. Same settings generate.

togan

hello. latest installer installs pre compiled wheel so it shouldnt compile itself

Furkan Gözükara

hello ty. currently we dont support it but you can use them in swarmui : https://youtu.be/r38eWyNoXHo

Furkan Gözükara

Hi, thank you for this. Sorry if this was answered before. If it was, would you consider add it to the post FAQs? I'm not sure how you would go to load a new model not supported in your downloader. E.g: https://civitai.green/models/1295569/on-the-fly-wan-ai-wan21-video-model-multi-specs-causvidandcomfyandkijai-workflow-included onTHEFLYWanAIWan21VideoModel_kijaiWan21I2V14B480P.safetensors I've checked the WAN2.1 models folder in the app but they usually contains a lot of other files and pieces, while this is a huge single file labeled as checkpoint merge. How can we use this model to speed up production? I don't think you'd load it as a LoRA, right? If not, how can I add it to the app to be listed with the other supported models. Thanks!

Heisenberg

thanks a lot for great feedback

Furkan Gözükara

works AWESOME! i use your Forge and now the WAN2.1 in addition to comfy and i managed to recreate the Carchase scene (5sec) in 3 min Render time on a 5090 https://civitai.com/models/1620122/car-chase-wan21-i2v-lora?modelVersionId=1833536 now experimenting with the CausVid Lora from ComfyUi in your WAN UI - seems to work good so far with cfg 1 and 35 steps (+ car chase lora and the image as reference) now i stole a few cool images off civitai and try to animate them - what a blast!

exo

stuck on building wheel for flash attn for 20 mins on l40s

DarkView AI

well i need more info. if you make a fresh install and send me logs i can know : monstermmorpg@gmail.com - send me entire cmd screen of fresh install

Furkan Gözükara

well make sure to have installed c++ tools, MSVC, CUDA 12.8 and clear triton cache.

Furkan Gözükara

well i think i forgotten :D

Furkan Gözükara

true but it is not easy to catch up :D

Furkan Gözükara

Your behind on these updates there is Vace 2.1 out now....:)

Nobodys Hero

In the Windows_Download_Models.bat file, you don't start the virtual environment, so I need to have Hugging Face installed in my clean environment. I've added the environment initialization myself, but just out of curiosity—was there a specific reason you chose not to initialize it in Windows_Download_Models.bat?

starysmok

Install worked and models loaded, Python 3.10.11, but when I hit start I get, ImportError: DLL load failed while importing libtriton: A dynamic link library (DLL) initialization routine failed. Any thoughts? BTW, got it working on another computer. Amazing program! Thanks!

abbker8899

Start_APP not working, How can I do ? Everything I Install in my computer but Start-APP is not working!

Jony Das

you must have install error. open a cmd in that folder and type bat file name to see error

Furkan Gözükara

Start app.bat file not starting app. It pops up then disappears

BurneR BlasT CasT

delete venv , DiffSynth-Studio folders and use latest zip file and run installer again. i have no issues lora working

Furkan Gözükara

I updated last night from version 68. Now loras won't load and I get the error Error Loading Lora, "only integer tensors of a single element can be converted to an index". Is this something that can be fixed? Or do I need to go back? Or do you think something else is wrong?

DanO..

hi that means your install failed. do you have git installed? are you running as administrator? can you make a fresh install and send me cmd logs : monstermmorpg@gmail.com

Furkan Gözükara

I've been getting error, there doesn't seem to be any App.py in the indicated folder. Error is: C:\Python310\python.exe: can't open file 'E:\\Wan21_v68\\Wan2.1\\App.py': [Errno 2] No such file or directory Press any key to continue . . .

Chro Cut

i will check that ty

Furkan Gözükara

Are you planning to put skip layer guidance feature?

bjoo46

what is the error you are getting? my ffmpeg is : ffmpeg version N-118369-g959b799c8d-20250127 Copyright (c) 2000-2025 the FFmpeg developers also delete your RIFE folder and run installer again and see if it fixes. use latest zip file

Furkan Gözükara

What version of ffmpeg are you using? I followed the tutorial and downloaded a recent release but I am getting an invalid arg exception when running practical-rife. If I turn off rife, everything works fine. ffmpeg is in my PATH, I just think the version I'm on is expecting arguments it's not being given. Thank you!

Todd E

just added for you. use the latest zip file, run installer once, and edit the start bat file and add your folder. read the change logs at the very top example like below python App.py --outputs "C:\fantasy_talking_tutorial\chars\a"

Furkan Gözükara

Can I change output folder?

bjoo46

both teacache and sage working. there must have some difference at some config.

Furkan Gözükara

It works great and UI is very good but quiet slower than comfyui with identical settings. maybe tea cache or sage is not working?

bjoo46

this was indeed a bug . sorry for fixing late. i just made a fix. can you test thoroughly and let me know if any other bugs remains? update to v67. just run update bat file

Furkan Gözükara

hi please set your virtual ram to at least 50 GB. gradio connection error wouldnt prevent output to be saved. i think you are getting out of RAM error with big models

Furkan Gözükara

Hi , I'm encountering some issues when using 14B models. The models do load successfully, and my graphics card appears to handle the initial processing without any problem. However, right before the output is generated, the connection times out and the session closes on its own. Additionally, the I2V (Image-to-Video) functionality doesn't seem to work at all. The only model that works consistently for me is WaN 2.1 (1.3B) in T2V mode. I would really appreciate it if you could provide some detailed guidance or troubleshooting steps to help resolve these issues. Thank you!

MLGuy

1080 is just too old. you cant run this. but you can try framepack. download install and then use Uninstall_Sage_Attention_For_Better_Quality_Slower.bat file and try. it may work

Furkan Gözükara

Hi, I need your help to find out what went wrong. All pre-requisites were installed successfully. After pressing the "Generate" button, the following error msg stopped the generation: ValueError: Unsupported CUDA architecture: sm61 I have a GTX1080 with 8GB VRAM. 2 versions of CUDA are installed, v11.8 and v12.4. Tried to change the default by modifying the env variables. But no success.. :(

Erkel Ermint

It seems that in the Batch Process, the output file names used to be the same as the file names in the Input Folder with an .mp4 extension, but in recent versions, they are now numbered sequentially starting from 0001. Is this a bug, or has the specification changed? Personally, I find it more convenient if the output files have the same names as those in the Input Folder.

tes

yes hopefully coming very soon. sorry for delay currently working on framepack. it is also amazing and has even time based prompt you tested?

Furkan Gözükara

Any hope of the start frame end frame implementation? I believe they finally released it

Jay

yes folder name issue. fixing now

Furkan Gözükara

I've been getting this error with V67 and V65v2 (Worked fine before) in massedcompute: bash: venv/bin/activate: No such file or directory /home/Ubuntu/.pyenv/versions/3.10.16/bin/python3: can't open file '/home/Ubuntu/Downloads/Wan21_v65_v2/Wan2.1/App.py': [Errno 2] No such file or directory Ubuntu@0155-dsm-prxmx30154:~/Downloads/Wan21_v65_v2/Wan2.1$ I also noticed that there's 2 wan 2.1 subfolders: "wan 2.1" and "Wan 2.1" (capitalized) don't know if this helps.

David

thanks. i also made a fix in zip file

Furkan Gözükara

if you get the ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE, its because the pip install torch command in the script doesnt download the same nightly build as the command, (who knows why) i had to download manually the 3 whl from https://download.pytorch.org/whl/nightly/cu128/ and replace the pip that install torch by pip install torch-2.7.0.dev20250310+cu128-cp310-cp310-win_amd64.whl torchvision-0.22.0.dev20250311+cu128-cp310-cp310-win_amd64.whl torchaudio-2.6.0.dev20250311+cu128-cp310-cp310-win_amd64.whl

Guck Foogle

nvm I got it fixed (reinstall helps), also I messed up with models folder structure...

Ariloum

this installation is not working to me, I run install-all bat, then update bat, and models download. then if I run it I got error "no library" for easydict and diffusers, I got installed them manually. And then it shows error "module gradio has no attribute Blocks" File "C:\stable-diffusion\Wan21\Wan2.1\App.py", line 2278, in with gr.Blocks() as demo: AttributeError: module 'gradio' has no attribute 'Blocks'......

Ariloum

edit the app.py file with text editor and go very bottom and change like below demo.launch(share=args.share, inbrowser=True, server_name="0.0.0.0")

Furkan Gözükara

Anyone know where to add a --listen command to allow this to be used on my network?

The Explorographer

i have some things to implement. i am also tracking them

Furkan Gözükara

Still no RifleX? This would be a cool feature to generate longer videos. Some other suggestions: Pytorch compilation to increase speed (on Linux or using WSL on Windows), Skip Layer Guidance ( should improve video quality) and Classifier-Free Guidance Zero Star.

stphnvdb321

sounds right. that model is huge 720p

Furkan Gözükara

it installs latest from remote repo so zip file update necessary only when installers updated

Furkan Gözükara

i used whatever the official authors used :D not my preference

Furkan Gözükara

Is there any reasoning why did you prefer unsafe pth (which allows to inject malicious code) over safetensors? For example, downloading models script leads to models_t5_umt5-xxl-enc-bf16.pth while there is long time exists umt5-xxl-enc-bf16.safetensors.

Ariloum

Hi Furkan, the zip file points to v64 instead of new v66

Chris

Ey Furkan, I would like to check with you if my generation times are normal. Image-to-Video WAN 2.1 14B Image-to-Video 720P, default parameters, around 42 minutes 121.92s/it with a RTX 3090. What do you think?

Pablo Montero

thanks. well hopefully I will add new model soon that has beginning and ending frames. that may fix your issue. other than that i am not sure. did you try lower sigma shift and cfg values?

Furkan Gözükara

Hello, First, thank you very much for your work ! Controlnet with this would be awsome ! I hope you will implement it one day :) In the meantime, I need a small advice: I try to generate a simple videos with i2v, with 8fps and 81 frames (10 seconds). Resolution 720x1280 (I have RTX 4090). A character that is simply dancing on the spot, I want the hands and arms to stay static (because they go crazy most of the time !). But at the end of the videos, the hands and arms don't seem to follow the prompt, and everything is messed up. The first seconds of videos are perfect. I tried different prompt (and negatives) and I tried to play with the sigma shift parameter without success. But it seem it don't follow the prompt in the lasts frames. Any advices ? Being able to choose the first frame as last frame would be very usefull (loop)! I'll continue experimenting :)

Léo Ulr

that feature will come soon hopefully not yet. and thanks and welcome

Furkan Gözükara

Thank you very much. Thanks to you, I finally found a working solution for my rtx 5090 system. I want to use this feature for this workflow start end frame (transition between two photos). can the feature be added?

Necati Kılınçarslan

are you doing fast preset? RTX 5090 and H100 can get below 10 min

Furkan Gözükara

how do you get i2v 720p model generation in 4-5 minutes I tried on my 3090 - 30+ minutes on l40 - same about 20-30 minutes a100 - took about 1000 seconds - 16 minutes

Alexandr Mishuk

hello. are you using 1280x720p? it is really long. you can apply fast preset . hopefully I will add GGUF support this week and welcome. you can reduce resolution it really speeds up or reduce number of frames it also speeds up

Furkan Gözükara

Hello! New member here 8^] I'm using the 14B i2v model on a 4090 and it's taking 136 seconds per it, any idea why it could be taking so long? Windows 11, AMD Ryzen Threadripper 2920X , 64gb RAM, RTX 4090

Ryan game

yep :D sorry for delay

Furkan Gözükara

Happy to hear that GGUF support is coming soon.. 😸

Ahmet Inceelli

sadly we dont have it atm. i asked this to diffsynth library but they didnt add yet

Furkan Gözükara

Hi Furkan, how can i generate a "preview" video with small quality but very fast, so that i can then decide if the output is good for what i promped and then generate the exactly same video but with better quality? should i keep inference steps, but lower quality to 1 or 2, teacache to 0.3 for example, and resolution much lower for "preview" video? which values can i change and then use higher of these values for consistent output (same frames, same video) as final video?

Chris

could be. it is from DiffSynth-Studio . but RIFE improved should be playable.

Furkan Gözükara

LoRA is not depended on GPU. it is using totally same VRAM and GPU power. please set your virtual RAM to 100 GB and it won't crash. for 12 GB hopefully I am gonna add GGUF as soon as possible. sorry for this delay

Furkan Gözükara

i will hopefully cover HiDream. MotionPro definitely looks cool thanks for letting me know

Furkan Gözükara

Really looking forward to new features! I have an RTX 3060 12GB and can do 14B 480 videos overnight. Fun. If I try to add a LoRA python crashes. Is this to be expected with my sort of card? Or might there be something I can change to get LoRAs to work?

DanO..

Thank you for your hard work and help! Have you seen MotionPro from HiDream? many people are talking very good about these models.

Iván López

I had the same issue last night after I updated from v60 to v62. (After about 30 mins at 0% I killed it.) After restarting the app and the UI, it worked again. Assuming it is all the memory that is retained by Python, or some issue where it checks to see if the same version is loaded, finds it is loaded and tries to work, but maybe some issue there... Of course I keep forgetting that logs are not saved.

Floor13

Hello, great course, love your work. I have a very strange issue though. I ran the Wan2.1-I2V-14B-480p model yesterday quite successfully and generated 10 or so videos in a reasonable speed (took about an hour for each video), running on a 4080 Super. But today, I went to do the same thing, and it takes *infinitely* longer now - it took over two hours just to load the model, and it's been stuck on 0% progress now for several more hours. Something has clearly changed, but I am using the exact same model and settings as yesterday. I have not installed or modified anything on my PC since yesterday. I know this is a vague problem, but has anyone encountered this type of issue before?

Tom

I think the original generation mp4 file may have a codec issue. Some video players cannot play the file eg, android video player or windows media player.

Steve

hello. install failed. get the latest zip file and use it please. and you can email me install logs : monstermmorpg@gmail.com

Furkan Gözükara

yes. edit the Start_APP.bat and make it like python App.py --share and save thats it

Furkan Gözükara

Is it possible to use your platform remotely? like with Swarm through cloudflare?

PARALLAX

After installing, I get this error: Traceback (most recent call last): File "C:\Wan21_v55\Wan2.1\App.py", line 21, in import wan File "C:\Wan21_v55\Wan2.1\wan\__init__.py", line 1, in from . import configs, distributed, modules File "C:\Wan21_v55\Wan2.1\wan\configs\__init__.py", line 7, in from .wan_i2v_14B import i2v_14B File "C:\Wan21_v55\Wan2.1\wan\configs\wan_i2v_14B.py", line 3, in from easydict import EasyDict ModuleNotFoundError: No module named 'easydict' Press any key to continue . . .

绣 李

latest app version does this auto. did you update the app?

Furkan Gözükara

Hello, what is causing this error for V2V? I already tried resizing and matching the framerate. File "C:\WanGradio\Wan21_v60\Wan2.1\DiffSynth-Studio\diffsynth\schedulers\flow_match.py", line 67, in add_noise sample = (1 - sigma) * original_samples + sigma * noise RuntimeError: The size of tensor a (30) must match the size of tensor b (21) at non-singleton dimension 2 Edit: I did not match the framerate correctly. You must first match using an external video editor. Works at 16 fps, not sure about other frame rates.

Steve

we have multi lora already :D click Show More LoRAs that error you get at the end is related to Gradio and your PC i don't know exact solution but not important

Furkan Gözükara

Great app, especially with VRAM management! For the first time, I was able to generate larger sized videos than with comfy. Feature Request: Multi-LoRa support please! Also, a generation preview would be nice! (getting these errors, but does not affect function:) At startup: W0407 21:12:11.389000 24652 venv\Lib\site-packages\torch\distributed\elastic\multiprocessing\redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. After generation: \AppData\Local\Programs\Python\Python310\lib\asyncio\proactor_events.py", line 165, in _call_connection_lost self._sock.shutdown(socket.SHUT_RDWR) ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host

Steve

what is the error message? if same as before install visual studio and MSVC as well. and delete triton cache again if you upgrade gold membership i can connect your pc and try to fix

Furkan Gözükara

Hello again, I installed the build tools per the instructions in your video but am still getting the error after reinstallation of your app. Any ideas?

Steve

please tell me the error you are getting. you can message me from discord

Furkan Gözükara

you can start gradio and every gradio has api feature. but we have no other api feature

Furkan Gözükara

sorry for late reploy. imagename.jpg png etc and in same folder imagename.txt , it will use that txt as a prompt

Furkan Gözükara

good idea

Furkan Gözükara

it could be loading model. how much RAM you have? what Disk you are using your disk speed?

Furkan Gözükara

models folder has it. you may symlink i presume or change from app code directly Wan2.1\models

Furkan Gözükara

hello. you need to have C++ tools and MSVC. please follow this video : https://youtu.be/DrhUHnYfwC0

Furkan Gözükara

Hello I am getting this error. I have already deleted .trition cache and tried reinstalling and still getting the error Thanks! import error: DLL load failed while importing libtriton: A dynamic link library (DLL) initialization routine failed. W0405 16:36:07.336000 5468 venv\Lib\site-packages\torch\distributed\elastic\multiprocessing\redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs. Traceback (most recent call last): File "C:\WanGradio\Wan21_v60\Wan2.1\App.py", line 25, in from diffsynth import ModelManager, WanVideoPipeline, save_video, VideoData File "C:\WanGradio\Wan21_v60\Wan2.1\DiffSynth-Studio\diffsynth\__init__.py", line 2, in from .models import * File "C:\WanGradio\Wan21_v60\Wan2.1\DiffSynth-Studio\diffsynth\models\__init__.py", line 1, in from .model_manager import * File "C:\WanGradio\Wan21_v60\Wan2.1\DiffSynth-Studio\diffsynth\models\model_manager.py", line 4, in from .downloader import download_models, download_customized_models, Preset_model_id, Preset_model_website File "C:\WanGradio\Wan21_v60\Wan2.1\DiffSynth-Studio\diffsynth\models\downloader.py", line 6, in from ..configs.model_config import preset_models_on_huggingface, preset_models_on_modelscope, Preset_model_id File "C:\WanGradio\Wan21_v60\Wan2.1\DiffSynth-Studio\diffsynth\configs\model_config.py", line 57, in from ..models.wan_video_dit import WanModel File "C:\WanGradio\Wan21_v60\Wan2.1\DiffSynth-Studio\diffsynth\models\wan_video_dit.py", line 21, in from sageattention import sageattn File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\sageattention\__init__.py", line 1, in from .core import sageattn, sageattn_varlen File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\sageattention\core.py", line 20, in from .triton.quant_per_block import per_block_int8 as per_block_int8_triton File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\sageattention\triton\quant_per_block.py", line 18, in import triton File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\triton\__init__.py", line 8, in from .runtime import ( File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\triton\runtime\__init__.py", line 1, in from .autotuner import (Autotuner, Config, Heuristics, autotune, heuristics) File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\triton\runtime\autotuner.py", line 9, in from .jit import KernelInterface File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\triton\runtime\jit.py", line 12, in from ..runtime.driver import driver File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\triton\runtime\driver.py", line 1, in from ..backends import backends File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\triton\backends\__init__.py", line 50, in backends = _discover_backends() File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\triton\backends\__init__.py", line 43, in _discover_backends compiler = _load_module(name, os.path.join(root, name, 'compiler.py')) File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\triton\backends\__init__.py", line 12, in _load_module spec.loader.exec_module(module) File "C:\WanGradio\Wan21_v60\Wan2.1\venv\lib\site-packages\triton\backends\amd\compiler.py", line 2, in from triton._C.libtriton import ir, passes, llvm, amd ImportError: DLL load failed while importing libtriton: A dynamic link library (DLL) initialization routine failed.

Steve

Which file and line contains the path to the model folder in windows? I would like to edit it to a different folder. Thank you

Steve

Amazing program as always! I used the fast preset for the 14b img2vid model and is it normal for the program to take 4-5 minutes before it even shows the progress (it/s) bar? It seems like the program doesn't even start for a long time! Using 4070ti Super (16gb VRAM)

man

Would love to see if we can use VACE with this in the future

Larry Boles

I didnt see guidance on utilizing batch processing in the video. If I have multiple prompts and each prompt tied to a different input image, how is that set up?

Marc Mercuri

Sir, Im sorry if this was asked before, but I coudnt find any information about this: Is there any way of setting this up to make video requests through api? It would be a game changer for me. If you have any tutorials about this, let me know please.

Dinho Medeiros

Image to video doesn't work for me, but text to video does. My GPU is a 3090. When I click generate, the command window crashes without displaying any error messages.

Lautaro Javier

hello. can you send me lora file so we can analyze and fix hopefully. you can email me link : monstermmorpg@gmail.com

Furkan Gözükara

Wan team said they will publish that model very soon probably this week. hopefully i will add

Furkan Gözükara

Is it possible to add start and end image for the I2V workflow?

Walker4k

I trained a t2v Lora on musubi-tuner and it works with that package's inference code. When trying to use this, I'm stuck on a non-descriptive "Cannot load LoRA: LoRAs\loraname.safetensors" Any ideas of what I could check or do to figure out why? Also, it may be beneficial to others if it doesn't proceed with generating anyway if it can't load a specified LoRA; it took me a while to realize it was not loading

Rizwan Sheikh

for text-to-video is about 1 hour and 30 minutes

Antonio

Hi, I have a laptop with 4090 and 16GB GPU RAM. When I try to make a image-to-video the exceution time is about 40 minutes. Could you tell me the best configuration to decrease the execution time?

Antonio

hello. it is on my todo list sorry for delay

Furkan Gözükara

Hello my friend if you could make a version of( InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity) to work on mass computing also if you could review infiniteYou

Cloud MaxGaming

hello. your python installation is wrong. please uninstall and reinstall as in this video into C drive : https://youtu.be/DrhUHnYfwC0

Furkan Gözükara

card rtx4090, windows

Villi Manter

Hey friend, I really need your help. I've spent so much time trying to fix this issue, but nothing has worked so far 😔 I'm using Gradio 4.15.0 with LivePortrait (custom gr.Blocks UI), and I keep getting this error: APIInfoParseError: Expected dict, got : True It crashes the whole app and I can't even load the interface — just a 500 error on launch. I tried editing get_type() in gradio_client/utils.py, but still no luck. Here’s the full traceback: https://drive.google.com/file/d/1iU6kyjgH8vt2oLRCGSVP8jcXDUHRAMFQ/view?usp=sharing Please let me know what I'm missing 🙏

Villi Manter

v59 I double clicked on Download_models.py. What is happening? File "E:\Wan21_v59\Download_Models.py", line 171, in main() File "E:\Wan21_v59\Download_Models.py", line 159, in main download_model_in_two_phases(repo_id, model_folder, common_items) File "E:\Wan21_v59\Download_Models.py", line 22, in download_model_in_two_phases snapshot_download(repo_id=repo_id, local_dir=model_specific_dir, ignore_patterns=common_items) File "C:\Users\****\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 120, in _inner_fn return fn(*args, **kwargs) File "C:\Users\****\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\_snapshot_download.py", line 237, in snapshot_download _inner_hf_hub_download(file) File "C:\Users\****\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\_snapshot_download.py", line 215, in _inner_hf_hub_download return hf_hub_download( File "C:\Users\****\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 120, in _inner_fn return fn(*args, **kwargs) File "C:\Users\****\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\file_download.py", line 1291, in hf_hub_download raise LocalEntryNotFoundError( huggingface_hub.utils._errors.LocalEntryNotFoundError: Connection error, and we cannot find the requested files in the disk cache. Please try again or make sure your Internet connection is on.

masato ogawa

hello where do you use? are you on your own linux? RTX 5000 series? use our latest runpod installer it supports. what is your GPU model?

Furkan Gözükara

Gettting this error on massed computer: WAN 2.1 14B Text-to-Video [CMD - DEBUG] Checking if pipeline needs clearing... [CMD - DEBUG] Pipeline config not changed or pipeline is None. No clearing needed. 0%| | 0/50 [00:00 b s (n d)", n=num_heads) File "/home/Ubuntu/Desktop/best_ai/Wan2.1/venv/lib/python3.10/site-packages/einops/einops.py", line 600, in rearrange return reduce(tensor, pattern, reduction="rearrange", **axes_lengths) File "/home/Ubuntu/Desktop/best_ai/Wan2.1/venv/lib/python3.10/site-packages/einops/einops.py", line 532, in reduce return _apply_recipe( File "/home/Ubuntu/Desktop/best_ai/Wan2.1/venv/lib/python3.10/site-packages/einops/einops.py", line 251, in _apply_recipe tensor = backend.reshape(tensor, final_shapes) File "/home/Ubuntu/Desktop/best_ai/Wan2.1/venv/lib/python3.10/site-packages/einops/_backends.py", line 93, in reshape return x.reshape(shape) RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1 Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

RE Wilkerson

hello i dont see error in your message

Furkan Gözükara

Error is Massedcompute - Using wan_video_vae from models/Wan2.1_VAE.pth. Using wan_video_image_encoder from models/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth. num_persistent_val 22000000000 [CMD] Model loaded successfully. [CMD] Auto processed image saved to: auto_pre_processed_images/auto_processed_1743239389.png 0%| | 0/20 [00:00

Walker4k

how many frames your video has and how many frames did you put as output? i can try to make auto cropped

Furkan Gözükara

For v2v input video needs to match exact frame count of the setting? I get tensor mismatch

Casper Smit

when RIFE processing we can't cancel true. cancellation only happens during steps stage.

Furkan Gözükara

I analyzed the problem further with the help of ChatGPT: When checking running processes, I see the Python backend (App.py) and RIFE still running, even though processing is already complete. After force-killing the processes (kill -9), everything works again when I restart manually. Is this a known issue with WAN 2.1 or Practical-RIFE integration? Could it be related to the --share flag or resource limits? Any tips to avoid freezing or automatically reset the backend after processing?

Philipp Capetian

Sure. But rather uninformative. It is Done but the GUI is not responding but continues on and on processing. Hitting cancel is not stopping it. And it is not restarting if I start a new generation

Philipp Capetian

[CMD] Loading model: 14B_image_480p with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 3500000000 Loading models from: models/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth model_name: wan_video_image_encoder model_class: WanImageEncoder The following models are loaded: ['wan_video_image_encoder']. Loading models from: ['models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00001-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00002-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00003-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00004-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00005-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00006-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00007-of-00007.safetensors'] model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'has_image_input': True, 'patch_size': [1, 2, 2], 'in_dim': 36, 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 40, 'num_layers': 40, 'eps': 1e-06} The following models are loaded: ['wan_video_dit']. Loading models from: models/models_t5_umt5-xxl-enc-bf16.pth model_name: wan_video_text_encoder model_class: WanTextEncoder The following models are loaded: ['wan_video_text_encoder']. Loading models from: models/Wan2.1_VAE.pth model_name: wan_video_vae model_class: WanVideoVAE The following models are loaded: ['wan_video_vae']. Using wan_video_text_encoder from models/models_t5_umt5-xxl-enc-bf16.pth. Using wan_video_dit from ['models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00001-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00002-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00003-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00004-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00005-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00006-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00007-of-00007.safetensors']. Using wan_video_vae from models/Wan2.1_VAE.pth. Using wan_video_image_encoder from models/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth. num_persistent_val 3500000000 [CMD] Model loaded successfully. [CMD] Auto processed image saved to: auto_pre_processed_images/auto_processed_1742997965.png 100%|███████████████████████████████████████████| 50/50 [13:08<00:00, 15.78s/it] Saving video: 100%|█████████████████████████████| 41/41 [00:01<00:00, 26.90it/s] [CMD] Applying Practical-RIFE on original outputs/0003.mp4 Initializing RIFE model... done in 0.43s Press 'c' at any time to cancel the FPS increase process. Reading video metadata... done in 0.01s [INFO] Input: 41 frames at 8.00fps | Output: 32.00fps (4x) Setting up video reader... done in 0.52s [INFO] Audio will be transferred from source to output Setting up FFmpeg encoder... 0003_improved.mp4 [640x640@32fps] Setting up processing buffers... done Starting reader and writer threads... Preparing first frame... Pre-loading: Complete - 40 frames loaded in 0.04s (1102.7 fps) Processing frames: [------------------------------] 1/41 (2.4%) | 11008.7 fps | ETA: 0s Finalizing video output... done [SUCCESS] Processing complete! 40 frames in 2.53s (15.79 fps) Processing audio... No audio stream found in source video. Skipping audio transfer. [DONE] Completed video saved to: outputs/0003_improved.mp4 [CMD] Cancel button pressed. [CMD] Cancel button pressed.

Philipp Capetian

yes exactly as you said.

Furkan Gözükara

I see you've changed CFG Scale too. Does it have any effect on the video quality? I thought it only specifies how precise the model is executing your promt.

stphnvdb321

I prefer lower settings (the picture gets sharper). I tried also extended video with 5.0, but the attached video segments got ugly sharpening effects. I got the best results with 5.6. It's still not complety gone, but a lot better. Even a 50-second video was only overexposed at the end. Test it yourself to see the changes.

stphnvdb321

yes those values can help. so you recommend default shift to be 6?

Furkan Gözükara

you are right need to do . i am also working on some bug fixes

Furkan Gözükara

cancel , cancels the generation process and nothing else happens. what do you see on cmd? can you give me more info i will fix it hopefully asap

Furkan Gözükara

I reduced Sigma Shift a bit and it helped a lot to reduce or even avoid exposure changes! I made some 20 seconds long videos and I had no changes of exposure at all or only a bit. 5.6 was a good value for me. Maybe the last frame was a bit to blurry with default setting 6? I don't know. Try it yourself.

stphnvdb321

It generates a video and saves it. But it get's stuck then even when I press the cancel button...

Philipp Capetian

Ah okay, I wasn't intending to run any video extension so I didn't get it. Probably should make a user note of that in the download_models batch file

Larry Boles

these are all base models same as ours. i plan to add support to single model files and GGUF as well. hopefully coming soon

Furkan Gözükara

i requested this and they said they will but didnt yet : https://github.com/modelscope/DiffSynth-Studio/issues/377

Furkan Gözükara

Thank you for your reply. Is the model published at this URL ( https://civitai.com/models/1295569/wan-ai-wan21-video-model-safetensors-andkijai-workflow-included?modelVersionId=1463630 ) to be used with Lora?

masato ogawa

yes fp8 is broken even authors said that : https://github.com/modelscope/DiffSynth-Studio/issues/466 use bf16. hopefully GGUF coming soon

Furkan Gözükara

yes for extending videos you need that model as well. so download it too

Furkan Gözükara

Latest version fresh install, used the downloader to get the 1.3B model. Saved to: \models\Wan-AI\Wan2.1-T2V-1.3B when attempting to generate getting this error after the "Saving Video" stage: FileNotFoundError: No such file or directory: "models\\Wan-AI\\Wan2.1-I2V-14B-480P\\diffusion_pytorch_model-00001-of-00007.safetensors"

Larry Boles

Check windows error log, you are bsoding because your hardware is unstable. Most likely power delivery issue that can be countered with bios settings. If it's not power, then it's either gpu overclock or memory overclock that is unstable. Might be cpu overclock too. But I would check if it's power related first.

Laurynas Savickas

Ok, so the latest v56 version: I2V 480p, using fp8 setting, teacache default 0.15, sage attention, 81 frame, 20 steps. Running on 4080 16gb preset, got black screen video. Cfg was 6, shift was 10. Generated in 12mins. Any clue why black screen? Image I used was regular 832x480

Laurynas Savickas

that means you didnt follow requirements step by step no skip : https://youtu.be/DrhUHnYfwC0 also if you open cmd on that folder and type bat file full name it wont close and you can see error message

Furkan Gözükara

haha true :D but it shouldnt take that long. especially 420p model. are you using teacache 0.15 and 20 steps? by the way hopefully GGUF coming very soon maybe this week

Furkan Gözükara

I really appreciate your work. I have 4080TI, but waiting 2 hours for 250KB output video using default settings reminds me of times when the Internet was shared on floppy disks :D (was using image to video 420p)

Grzegorz Busek

does not work after all the steps, the bat file (start app) opens and closes instantly :\

Ivan Cruz

A chain effect is bad :( I don't know how, but maybe you can find a way to fix it. I checked WAN 2.1 included in pinokio (Wan2GP). It uses Riflex to generate longer videos. Maybe this would be another way... https://github.com/deepbeepmeep/Wan2GP

stphnvdb321

yes because this is happening - as we progress the last frame quality degrades thus the output. it has a chain effect

Furkan Gözükara

Thanks for the new update. Sage really makes it faster. I made a 30-seconds video for fun. The second half was absolutely unusable and totally overexposed. Do you already know what could be causing this?

stphnvdb321

yes you can use Wan LoRAs published on there. also we just made another great speed update

Furkan Gözükara

that makes sense. Wan just announced yesterday a model for input image + ending frame coming. hopefully that can work as you want

Furkan Gözükara

great let me know results

Furkan Gözükara

Thank you so much for your very prompt response. Installing now.

Bob Doyle - VR Films

my mistake sorry for this error. please download v56 zip file and use it to install. it should fix. ty for reporting.

Furkan Gözükara

After installing, I get this error: Traceback (most recent call last): File "C:\Wan21_v55\Wan2.1\App.py", line 21, in import wan File "C:\Wan21_v55\Wan2.1\wan\__init__.py", line 1, in from . import configs, distributed, modules File "C:\Wan21_v55\Wan2.1\wan\configs\__init__.py", line 7, in from .wan_i2v_14B import i2v_14B File "C:\Wan21_v55\Wan2.1\wan\configs\wan_i2v_14B.py", line 3, in from easydict import EasyDict ModuleNotFoundError: No module named 'easydict' Press any key to continue . . .

Bob Doyle - VR Films

thank you just updated v56 . please run update. it is fixed. ty for reporting

Furkan Gözükara

yes correct.

Ritesh 'Tez' B

ok so you made a video with image to video. then you changed image uploaded new one but it used old image right? let me test

Furkan Gözükara

It was a basic image to video prompt 480p. on Fast preset. 20INF, 5 seconds stadard. 3:4 aspect ratio. first attempt it changed a bit of the initial image. second attempt with another image ended up using the same image as the first one even though i am sure i changed it. i checked the auto pre processed image for initial frame. it had not saved the two i did in V52. Was a clean install but i moved the models, output, lora, auto preprossed images from v49 into the new V52.

Ritesh 'Tez' B

can you give more info please i need to test and fix asap. step by step produce. also now we are v55

Furkan Gözükara

found an issue i am having with v52. the second time i run this (I2V), it does not change the initial image. it works on the first generated image used from before. also noticec v52 did no do a auto pre processed image like the previous versions so i could check. reverted back to v49. it works again.

Ritesh 'Tez' B

awesome. it took me huge time to make it work :D i rewritten a lot of code

Furkan Gözükara

BTW: I just tested extended videos with "Number of Generations >1" and "Multi-line prompt (each line is separate)". It works perfectly! Thanks a lot for making this possible.

stphnvdb321

But there is definitly an improvement compared to the last version. Now it gets worse only in the end.

stphnvdb321

well i tested and the app and it works. the degrade in quality gets increased since the last frames are getting worse with each extending :( but if your video is good it will work on some cases e.g. : https://streamable.com/of48pl

Furkan Gözükara

after i complete this app, which we are close, hopefully i will make a full easiest and best tutorial for lora training

Furkan Gözükara

Will you ever cover Lora Training for WAN / HUN ? the Squishy Lora was awesome.

Alkaid D'arooGa

This is a video made with v55: https://pixeldrain.com/u/cppiYhHC . Look what happens in the end.

stphnvdb321

I'm always using img2vid. So if wan could be instructed to use the same image as init and end frame, things would work out this way...

Philipp Capetian

perhaps there can be a lora that will make this. i will just request this

Furkan Gözükara

ah i dont know how that can be made :D any ideas you have?

Furkan Gözükara

I want to create one single video (just a few seconds) that runs in a seamless loop. So the last frame and the first frame of the video should be the same. Otherwise it will be choppy when looping.

Philipp Capetian

yes i noticed same thing. 20 steps 81 frames looks really good with teacache. i am testing that i told you right now same parameters

Furkan Gözükara

No, I haven't. I emptied the folder used_last_frames, because I thought the pictures could cause problems when I make a new video. So I can't do it right now. I found another issue: I increased steps from 30 to 50. With TeaCache enabled it produced heavy distortions beginning from 2.mp4

stphnvdb321

yes it is coming hopefully soon as soon as i complete the lacking features in Wan 2.1 App

Furkan Gözükara

i dont know understand what you mean can you elaborate? currently it works like this. generate a video, use last frame and extend, use last frame and extend and so on. or you can batch process folders too. or you can use existing video to extend as well

Furkan Gözükara

have you tested that last used frame and generated single video? i am gonna test it right now because i also see color changes. i wonder if related to our implementation or if it is image to video model issue

Furkan Gözükara

I have to report that i still have problems with videos longer than 10 seconds. I get heavy color changes and an over- or underexposed picture. It starts with video 3 or 4. Examples: video 1 https://postimg.cc/18NDMvBn, video 3 https://postimg.cc/gwV8brfG, video 4 https://postimg.cc/hJWTYVZC. I used 14B text-to-video, 30 steps, TeaCache 0.15. My VRAM was only half full. I've tried different settings like changing framerate, duration, aspect ratio, video quality. Nothing helped. Do you have any idea what can be the reason for this strange behaviour? Thanks.

stphnvdb321

I am still looking for an option to make looping videos. I mean with that that the last frame of a video matches with the first frame of the SAME video. I need short videos I can make animated gifs from for my powerpoint presentations. The new feature seems only good for extending videos - if I am not mistaken.

Philipp Capetian

Thank you for your reply, I reduced the number of steps and it greatly increased the generation speed. Let me ask one question, is it possible to use wan models published on civitai?

masato ogawa

能做个wan的lora训练教程吗

shen oracle

i am glad you solved

Furkan Gözükara

Sorry, my stupid. I now set it to the clips frame count and all fine.

Aixsponza

yes because of VRAM limitation. you can reduce steps and increase teacache to speed up

Furkan Gözükara

thank you so much. it takes lesser than 10 minutes. i just made some more improvements :d

Furkan Gözükara

You could do a RAM/memory test in windows. If that's wrong it should say. You could check your GPU drivers are up to date. I've had occasional blue screen errors quite recently when trying to load too much into the GPU probably (like in GPT4ALL loading a model but the "gpu layers" were probably set too high so that might have been the cause of the blue screen error with that if it tried to load more into the GPU that it could hold. Or maybe Nvida's recent GPU drivers aren't very good or there some VRAM or RAM error (windows doesn't say any RAM error for me though).

cool1

I tried the application, and I want to say that it is very cool, although I had to manually install some packages, and the prompt enhancer did not work for me. Overall, its much more convenient than any I've used. thank you! did you tried it on 80gb(or more) runpod? how long it takes make 5 sec 720p on 80gb?

Andrex Selivanov

set your frame count accurately. what is your frame count?

Furkan Gözükara

Doing the V2V feature I constantly receive this terminal error response: "RuntimeError: The size of tensor a (41) must match the size of tensor b (21) at non-singleton dimension 2" I can't find a setting to solve it.

Aixsponza

Very good. By the way, I'm using 3080ti to generate 480p image to video, is it normal that it takes about an hour?

masato ogawa

you can run. but your RAM is not stable. you have to make it stable first. BSOD 100% related to your system instability. even if i use 200 GB RAM (i have 96GB rest is virtual) i don't get BSOD atm

Furkan Gözükara

I'm using 13700kf, though I didn't think processor speed mattered as much for AI, like GPU and RAM do. Is there no chance i can get Wan2.1-I2V-14B-720P (PTV) to run? I don't think memory error BSOD relates to CPU either...

levoy1

you are welcome

Furkan Gözükara

yes bluescreen means = your computer is not sable. are you using intel 13 14k series? i had 13900 and i hated it so much. it was constant blue screen shut down etc.

Furkan Gözükara

Using the Wan2.1-I2V-14B-720P (Picture To Video) on a 4090RTX and 32GB RAM, everytime i get a bluescreen with memory error. Is there something i'm missing? Wan2.1-T2V-1.3B (Text To Video) works fine. I already tried reducing the vram preset.

levoy1

Wow! You work too hard! There was no rush for this, I have much bigger problems with my generations skill :)

Floor13

thank you for detailed explanation. just updated to V50 and fixed this behavior. run updater. multi line will not increase seed anymore. and you can combine number of generations with multi line as well. in that case only number of generations will increase

Furkan Gözükara

A question/comment/bug about seeds (I don't know if this is working as intended, or part on Wan2.1, or part of your UI). 1) I always set my own seed, just to make reproduction and trouble shooting easier. 2) For example: I set the seed to 0001 3) Image2video: I create similar prompts on 4 separate lines, to test a small change in each prompt, or an effect I want to try. 4) I check "Multi-line prompt" therefor 4 videos will be produced. 5) I would expect each video to have the same seed of 0001. 6) However, the seed increments by 1 each time, so vid 4 is 0004 seed. But I thought the seed should still be 0001. I am not running batches, I am not looking for variation, I am testing the prompt against the same seed. 7) Therefore, I am not testing the prompt alone, I am also introducing a new seed. Surely this is incorrect. If I wanted to build multiple vids with increasing seeds, then the "Number of generations" option should be used.

Floor13

well i am trying to improve its RAM release. I release every object but still RAM management is not great. I wonder if related to Python itself at this moment.

Furkan Gözükara

I updated to v47 but cannot see anything in the GUI that states loop or so...

Philipp Capetian

Thanks for the new releases. I removed EVERYTHING (python, cudnn, etc) I had set up before, and started again from scratch following your video. Works perfectly THANK YOU! However: The new v46 version of your app, after running some 720p video generation, the Python process retains all the RAM (approx 29GB), while all the GPU RAM (24GB) is released when the generation is complete. Killing the app frees the python RAM. I did not see this with the v43 (But I had barely started using it). I am currently doing another set of multi-line, so I cannot provide clean logging at this time. (I see you've JUST updated to v47... I'll run through it after work).

Floor13

you have to set virtual RAM. look how to set it. set it to 100 GB and it will get fixed

Furkan Gözükara

i always get killed after click generate WAN 2.1 14B Image-to-Video 720P WAN 2.1 14B Image-to-Video 720P [CMD - DEBUG] Checking if pipeline needs clearing... [CMD - DEBUG] Pipeline config not changed or pipeline is None. No clearing needed. [CMD] Loading model: 14B_image_720p with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 22000000000 Loading models from: models/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth model_name: wan_video_image_encoder model_class: WanImageEncoder The following models are loaded: ['wan_video_image_encoder']. Loading models from: ['models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00001-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00002-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00003-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00004-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00005-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00006-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00007-of-00007.safetensors'] model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'has_image_input': True, 'patch_size': [1, 2, 2], 'in_dim': 36, 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 40, 'num_layers': 40, 'eps': 1e-06} The following models are loaded: ['wan_video_dit']. Loading models from: models/models_t5_umt5-xxl-enc-bf16.pth model_name: wan_video_text_encoder model_class: WanTextEncoder The following models are loaded: ['wan_video_text_encoder']. Loading models from: models/Wan2.1_VAE.pth model_name: wan_video_vae model_class: WanVideoVAE The following models are loaded: ['wan_video_vae']. Using wan_video_text_encoder from models/models_t5_umt5-xxl-enc-bf16.pth. Using wan_video_dit from ['models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00001-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00002-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00003-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00004-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00005-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00006-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00007-of-00007.safetensors']. Using wan_video_vae from models/Wan2.1_VAE.pth. Using wan_video_image_encoder from models/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth. num_persistent_val 22000000000 [CMD] Model loaded successfully. [CMD] Using resolution: width=960 height=960 Killed (venv) Ubuntu@0066-dsm-prxmx30148:~/Desktop/wan/Wan21_v46/Wan2.1$

Weronika

Thanks. Also fast preset takes like 10 min on H100 at most demanding config 1280x720p image to video 81 frames

Furkan Gözükara

A small note, I have run these scripts locally (720p) on a 3090 and 5 sec render time takes a few (I recall 3 to 4) hours,. On Massedcompute, LS40, following instructions exactly as per YouTube video, about 90 mins, H100 around 40 mins. I also ran an H100 at Runpod, again no issues and similar times. For most home users or hobbyists, a $10 punt for a few hours on one of these machines is well worth it.

Walker4k

you can use those dll files as well. extract into C drive and add to env path and will work. either way works

Furkan Gözükara

Amazing! I also have been having a little bit of trouble downloading the cudnn requirements to match your tutorial. It seems I don't get a .exe option to launch the installer, but instead get a bunch of .dll files. that have the likes of cudnn_ops_train64 or cudnn_adv_infer64 files in it. Is it likely I have done something wrong? I am pretty certain I went direct from the links on your tutorial page.

Ash Murphy

It states "Interface organization improved, many more updates coming soon hopefully". Or is there another log? Thanks anyways. I will give it a try tomorrow.

Philipp Capetian

last version has it. read the changelogs at the top.

Furkan Gözükara

Update v45 or v46? I did v45 today but did not notice

Philipp Capetian

It is added have you tested?

Furkan Gözükara

hopefully even better than that training coming. i will prepare GUI as well

Furkan Gözükara

Just saw this release by Krea for WAN. Just wondering how difficult something like this may be to recreate? https://www.linkedin.com/posts/krea-ai_introducing-video-training-a-new-level-of-activity-7308487543354769409-2SsN

Ash Murphy

i would say make a fresh install. i just tried image and video batch processing both works.

Furkan Gözükara

Thanks. I tried that. I renamed it to DiffSynth-Studio-backup then ran Windows_install.bat and it's created a new diffsynth-studio folder but running batch mode still gives: File "G:\Wan-2.1-AI-Video-Generator-SEC-courses-ver-of-app\Wan2.1\App.py", line 1360, in batch_process_videos video_data = loaded_pipeline( File "G:\Wan-2.1-AI-Video-Generator-SEC-courses-ver-of-app\Wan2.1\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) TypeError: WanVideoPipeline.__call__() got an unexpected keyword argument 'cancel_fn' I can try deleting everything and re-installing it. A previous time I'd used "windows install all gpus.bat". I don't know if that's what I should be using instead of just the "windows install.bat".

cool1

delete DiffSynth-Studio and reinstall

Furkan Gözükara

If the batch mode says "TypeError: WanVideoPipeline.__call__() got an unexpected keyword argument 'cancel_fn'" does that mean I need to do a full "windows_install.bat" or "windows_install_all_GPUs.bat" again? I'd done the "windows_update.bat" after extracting v45.zip

cool1

yes i will publish batch RIFE processing App as soon as possible. also can you tell me how did you make it didnt work? i am testing right now that it works as expected

Furkan Gözükara

it sets to your last config lora. delete your configs and try and check

Furkan Gözükara

When you first load or reload the webpage (F5) that has the gradio app in it always sets the Lora field to the first lora it finds. If we don't want to use that Lora then we need to keep changing that Lora setting back to "None". Could the default value for the Lora setting be "None"?

cool1

If we have some videos that were made without Practical-RIFE running on them to make them smoother, can we run it after the fact? I was doing a batch of 20 generations over night, and i only have 1 improved output, so I'd like to run it on some of the others.

Kevin Blanzy

awesome. that video will help you tremendously in long term

Furkan Gözükara

Thanks for such a quick response. I spend so much time on PyPi at work, I hate messing with python when I get home. I had it all set up for AI generation 12 months ago, then got too busy with life and work so haven't been back. I left flash-attn building and the models downloading before I went to work, then found in your video that you'd already done the build :) I'll rip everything out and start again using the video guide you just provided tomorrow. Thank you, keep up the good work.

Floor13

hi models are loaded into hugging face you can download now : https://huggingface.co/OwlMaster/wan21/tree/main download all 3 and extract

Furkan Gözükara

hi. it is failing because your ffmpeg failing. please install exactly as in this video : https://youtu.be/DrhUHnYfwC0 and amazing updates coming to the app. today i am about to add a huge update extend video also i recommend you to install python as in video. your python is currently inaccurately installed. follow every step of this video : https://youtu.be/DrhUHnYfwC0

Furkan Gözükara

Thanks for all the updates. After playing with ComfyUI for a couple of days (trying to recycle some old batch ones I made last year for images), I gave up and turned to your instead for practicing prompts. A couple of things. 1) Will your app have a product name? 2) I'm having an issue with the RIFE. The initial video generates, but then the RIFE step fails. This is Windows 11, RTX4090 24GB WAN 2.1 1.3B (Text/Video-to-Video) [CMD] Loading model: 1.3B with torch dtype: torch.float8_e4m3fn and num_persistent_param_in_dit: 7000000000 Loading models from: models\Wan-AI\Wan2.1-T2V-1.3B\diffusion_pytorch_model.safetensors model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'has_image_input': False, 'patch_size': [1, 2, 2], 'in_dim': 16, 'dim': 1536, 'ffn_dim': 8960, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 12, 'num_layers': 30, 'eps': 1e-06} The following models are loaded: ['wan_video_dit']. Loading models from: models\Wan-AI\Wan2.1-T2V-1.3B\models_t5_umt5-xxl-enc-bf16.pth model_name: wan_video_text_encoder model_class: WanTextEncoder The following models are loaded: ['wan_video_text_encoder']. Loading models from: models\Wan-AI\Wan2.1-T2V-1.3B\Wan2.1_VAE.pth model_name: wan_video_vae model_class: WanVideoVAE The following models are loaded: ['wan_video_vae']. Using wan_video_text_encoder from models\Wan-AI\Wan2.1-T2V-1.3B\models_t5_umt5-xxl-enc-bf16.pth. Using wan_video_dit from models\Wan-AI\Wan2.1-T2V-1.3B\diffusion_pytorch_model.safetensors. Using wan_video_vae from models\Wan-AI\Wan2.1-T2V-1.3B\Wan2.1_VAE.pth. No wan_video_image_encoder models available. num_persistent_val 7000000000 [CMD] Model loaded successfully. [CMD] Using resolution: width=832 height=480 100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [03:44<00:00, 4.49s/it] VAE decoding: 100%|██████████████████████████████████████████████████████████████████████| 9/9 [00:10<00:00, 1.22s/it] Saving video: 100%|███████████████████████████████████████████████████████████████████| 81/81 [00:00<00:00, 105.49it/s] [CMD] Applying Practical-RIFE with multiplier 2x FPS on video outputs\00002.mp4 Loaded 3.x/4.x HD model. Traceback (most recent call last): File "D:\Wan21_v43\Wan2.1\Practical-RIFE\inference_video.py", line 129, in lastframe = next(videogen) File "D:\Wan21_v43\Wan2.1\venv\lib\site-packages\skvideo\io\io.py", line 240, in vreader assert _HAS_FFMPEG, "Cannot find installation of ffmpeg." AssertionError: Cannot find installation of ffmpeg. Traceback (most recent call last): File "D:\Wan21_v43\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "D:\Wan21_v43\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "D:\Wan21_v43\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2103, in process_api result = await self.call_function( File "D:\Wan21_v43\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1650, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "D:\Wan21_v43\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "D:\Wan21_v43\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2470, in run_sync_in_worker_thread return await future File "D:\Wan21_v43\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 967, in run result = context.run(func, *args) File "D:\Wan21_v43\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "D:\Wan21_v43\Wan2.1\App.py", line 907, in generate_videos subprocess.run(cmd, shell=True, check=True, env=os.environ) File "C:\Users\user\AppData\Local\Programs\Python\Python310\lib\subprocess.py", line 524, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command '"D:\Wan21_v43\Wan2.1\venv\Scripts\python.exe" "Practical-RIFE/inference_video.py" --model="D:\Wan21_v43\Wan2.1\Practical-RIFE\train_log" --multi=2 --video="outputs\00002.mp4" --output="outputs\improved_00002.mp4"' returned non-zero exit status 1.

Floor13

weird must have an error occurred during install glad fixed

Furkan Gözükara

hi . make a fresh install and move models and it will work this is fixed. also i will upload models for manual download thanks for reminding

Furkan Gözükara

oh and one more thing i noticed, upon fresh installs of v43, when running the app, in the cmd prompt, a warning shows ModuleNotFoundError: No module named 'easydict'.

ILikethePartWhen -

I was in China and spent three days downloading the model, which was very troublesome. I also hope that you can package and download the model. All installations were completed according to your requirements, but I still can't open it. Various problems are making me feel overwhelmed Traceback (most recent call last): File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2103, in process_api result = await self.call_function( File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1650, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2470, in run_sync_in_worker_thread return await future File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 967, in run result = context.run(func, *args) File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "D:\aiwords\Wan21_v38\Wan2.1\App.py", line 748, in generate_videos loaded_pipeline = load_wan_pipeline(model_choice, torch_dtype, vram_value, lora_path=effective_loras, lora_alpha=None) File "D:\aiwords\Wan21_v38\Wan2.1\App.py", line 1312, in load_wan_pipeline model_manager.load_models( File "D:\aiwords\Wan21_v38\Wan2.1\DiffSynth-Studio\diffsynth\models\model_manager.py", line 426, in load_models self.load_model(file_path, model_names, device=device, torch_dtype=torch_dtype) File "D:\aiwords\Wan21_v38\Wan2.1\DiffSynth-Studio\diffsynth\models\model_manager.py", line 404, in load_model state_dict = load_state_dict(file_path) File "D:\aiwords\Wan21_v38\Wan2.1\DiffSynth-Studio\diffsynth\models\utils.py", line 69, in load_state_dict return load_state_dict_from_bin(file_path, torch_dtype=torch_dtype) File "D:\aiwords\Wan21_v38\Wan2.1\DiffSynth-Studio\diffsynth\models\utils.py", line 83, in load_state_dict_from_bin state_dict = torch.load(file_path, map_location="cpu", weights_only=True) File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\torch\serialization.py", line 1541, in load return _legacy_load( File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\torch\serialization.py", line 1787, in _legacy_load return legacy_load(f) File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\torch\serialization.py", line 1654, in legacy_load raise RuntimeError( RuntimeError: Cannot use ``weights_only=True`` with files saved in the legacy .tar format. In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.

绣 李

you are welcome. i just made another update with v44. now fast preset will be teacache 0.15 and 20 steps. also i added clear model after generation. it will be enabled for below 64 GB RAM. it can also help you. you can try it. but it is still in progress i am still trying to make it better

Furkan Gözükara

Yes absolutely, thank you doc! although the teach cache threshold is already .15 by default it seems

ILikethePartWhen -

i guess fast preset could be too aggressive. i am testing now. probably will reduce teacache to 0.15 and step count to 20 . can you try this way?

Furkan Gözükara

RuntimeError: Cannot use ``weights_only=True`` with files saved in the legacy .tar format. In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source. Now it's this kind of mistake

绣 李

That's what I am doing anyways because if I begin a generation that suddenly says it will take 3 hours to complete, I MUST restart, as pressing the cancel button does nothing, the only effect is the command prompt says "cancel button pressed" but I am unable to click generate again. This forces me to restart anyways. But when I do get a successful generation, this is when I see the strange colored flashes and smears in my results.

ILikethePartWhen -

working on it right now

Furkan Gözükara

you cant move installation. i suggest you to install v43 into new drive and move models folder. that will work best. updating from v38 - dump zip file and run updater should work

Furkan Gözükara

rtx 4060 ti is definitely good. but these errors sounding weird. what if you restart app every generation what happens?

Furkan Gözükara

Sorry but this is just not working for me. It will generate a 400x400 video at a decent speed, around 5 to 8 minutes, but if I change one setting, such as removing all negative prompts and try again, the video refuses to advance past 0%. Also, running a successful generation again but with only a slight increase of resolution (from 400x400 to 512x512) will make the generation take upwards of three hours, this is all happening using the default fast preset in the I2V 720p model. I have uninstalled and reinstalled the entire program many times now, to no improvement. And when my generations do succeed, they contain flash and smears of rainbow light and appears glitched. Also, pressing the cancel button does nothing, I need to completely restart Wan if I wish to try again. my gpu is a RTX 4060 Ti

ILikethePartWhen -

sorry for the dumb question, but if I'm updating from v38, do I dump the entire contents of the v43 zip into it and run update? Also, can I move the install to another drive, or will it mess something up?

Taiga

Is there an option to make looping or boomerang videos like in other models?

Philipp Capetian

No look at the Windows_Update_Version.bat file. you need to execute it as an .sh file. so it will git pull accurate remote repos. any LLM will give you sh file and command easy use it

Furkan Gözükara

If I want to update an existing installation in ubuntu, do I just extract the new version into the WAN Folder and rerun the installation? I did so but when launching it still said v42...

Philipp Capetian

yes currently it is supporting only Wan 2.1 loading

Furkan Gözükara

yes i will do it. it will take last frame of generated video and generate a new video and stitch and go on

Furkan Gözükara

So, it's hardwired? I'll take a look at the code.

Taiga

yes it is coming hopefully soon

Furkan Gözükara

I know that is possible on Luma - they have a loop or an extend feature. But would be good to know if it is achievable on the WAN model

Ash Murphy

Is it possible to make the first frame of the video and the last frame the same in order to make a loop?

Doey62750

currently configs are auto set between bf16 and fp8. they consider you are using maximum 2gb VRAM

Furkan Gözükara

try same seed and prompt and steps and everything same with bf16 and see if makes difference

Furkan Gözükara

yes massed compute runs on cloud. you can even turn off your computer

Furkan Gözükara

yes i plan to add hopefully

Furkan Gözükara

Additionally FYI, FP8 selection so far hasn't worked twice. The video output is garbage. This is for RTX 3090. I tried with 24gb and also with 12gb selection.

Dinh Vu

I was wondering if it's possible to add more video models.

Taiga

Sorry if this may be a silly question. I have a computer with 4GB of VRAM. Does this mean I can still run the WAN I2V 720P 14B model on my computer via the MassedCompute setup that was outlined? Or does that relate to one of the smaller models?

Ash Murphy

So based on your chart, I could do 6,000,000,000 params at FP8? What about 6,500,000,000?

Dinh Vu

sure FP8 will be faster since it uses lesser VRAM . select 24 GB and FP8 and it will auto set params

Furkan Gözükara

I am reporting that the batch function is working fine now! Thank you. Also I have a question, can RTX 3090 do the FP8 (torch.float8_e4m3fn)? Which is recommended setting for RTX 3090. Thank you so much Furkan.

Dinh Vu

thanks for feedback

Furkan Gözükara

Oh yeah! I figure it out eventually. I just thought it might be good to know if you only had 2 people with 24+ Gigs of VRAM and most have much less. OR most people have 24 Gigs plus. Up to you.

DanO..

it is really hard that way but i try to cover every GPU. that is why i added configs for every GPU. your GPU should work too but just slower if you have RAM.

Furkan Gözükara

I think you should have a poll asking what cards people have. Or at least how much VRAM. One for patrons and one for free visitors. You could find out which set up to focus on for your paying patrons and what might bring in free people that just visit. I'd suggest my card (of course) as one of the options RTX 3060 12G VRAM.

DanO..

awesome

Furkan Gözükara

awesome

Furkan Gözükara

Thank you Furkan, I will be testing the batch process again.

Dinh Vu

OK. I will update. Sorry, I refreshed my window again and the single generation is running now.

Dinh Vu

i fixed this cfg error few minutes ago please update. your other error is more problematic. what is your GPU and python version?

Furkan Gözükara

Hey Furkan, I get this error, while running the Batch Processing. It completes one video, but doesn't complete the RIFE improved version. Please help as soon as you can as I am just starting to run large batches: File "E:\Programs\Wan21_v40 - Copy\Wan2.1\App.py", line 1104, in batch_process_videos generation_details += f"CFG Scale: {cfg_scale}\n" NameError: name 'cfg_scale' is not defined

Dinh Vu

not models related. make a fresh install and send me install logs : monstermmorpg@gmail.com - you can move models folder to fresh install no worries

Furkan Gözükara

The model is downloading now, not sure if it's model related or not

绣 李

python3.10.11 cuda:12.4

绣 李

you are welcome

Furkan Gözükara

Ok, thanks

Walker4k

hi what is your GPU and do you have Python 3.10 installed?

Furkan Gözükara

Nope you need Wan 2.1 LoRAs. Hopefully I will add 10s of LoRAs soon

Furkan Gözükara

Can flux lora's be used with this?

Walker4k

Traceback (most recent call last): File "D:\aiwords\Wan21_v38\Wan2.1\App.py", line 17, in import wan File "D:\aiwords\Wan21_v38\Wan2.1\wan\__init__.py", line 1, in from . import configs, distributed, modules File "D:\aiwords\Wan21_v38\Wan2.1\wan\modules\__init__.py", line 1, in from .attention import flash_attention File "D:\aiwords\Wan21_v38\Wan2.1\wan\modules\attention.py", line 11, in import flash_attn File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\flash_attn\__init__.py", line 3, in from flash_attn.flash_attn_interface import ( File "D:\aiwords\Wan21_v38\Wan2.1\venv\lib\site-packages\flash_attn\flash_attn_interface.py", line 15, in import flash_attn_2_cuda as flash_attn_gpu ImportError: DLL load failed while importing flash_attn_2_cuda: 找不到指定的模块。

绣 李

Sadly RIFE is not that capable :D it generates next frame in a flowing frames. it is most capable of guessing next 2 frames.

Furkan Gözükara

So RIFE can make images between two images so they fit better together. I would love to see a feature where you can choose the first image and last image for a video you want to generate and then let RIFE fill in the blanks.

Hockey

Please download models you want to use

Furkan Gözükara

Did you use the "windows_download_models.bat" file to download the models you want to use for Wan 2.1? though maybe they're separate to the models it's talking about there.

cool1

Any ideas? - To create a public link, set `share=True` in `launch()`. [CMD] Loading model: 1.3B with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 12000000000 [WARNING] Neither models\models_t5_umt5-xxl-enc-bf16.pth nor models\Wan-AI\Wan2.1-T2V-1.3B\models_t5_umt5-xxl-enc-bf16.pth found. Using models\Wan-AI\Wan2.1-T2V-1.3B\models_t5_umt5-xxl-enc-bf16.pth as fallback. [WARNING] Neither models\Wan2.1_VAE.pth nor models\Wan-AI\Wan2.1-T2V-1.3B\Wan2.1_VAE.pth found. Using models\Wan-AI\Wan2.1-T2V-1.3B\Wan2.1_VAE.pth as fallback. Loading models from: models\Wan-AI\Wan2.1-T2V-1.3B\diffusion_pytorch_model.safetensors Traceback (most recent call last): File "P:\AI\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "P:\AI\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "P:\AI\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2103, in process_api result = await self.call_function( File "P:\AI\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1650, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "P:\AI\Wan21_v38\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "P:\AI\Wan21_v38\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2470, in run_sync_in_worker_thread return await future File "P:\AI\Wan21_v38\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 967, in run result = context.run(func, *args) File "P:\AI\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "P:\AI\Wan21_v38\Wan2.1\App.py", line 749, in generate_videos loaded_pipeline = load_wan_pipeline(model_choice, torch_dtype, vram_value, lora_path=effective_loras, lora_alpha=None) File "P:\AI\Wan21_v38\Wan2.1\App.py", line 1184, in load_wan_pipeline model_manager.load_models( File "P:\AI\Wan21_v38\Wan2.1\DiffSynth-Studio\diffsynth\models\model_manager.py", line 426, in load_models self.load_model(file_path, model_names, device=device, torch_dtype=torch_dtype) File "P:\AI\Wan21_v38\Wan2.1\DiffSynth-Studio\diffsynth\models\model_manager.py", line 408, in load_model if model_detector.match(file_path, state_dict): File "P:\AI\Wan21_v38\Wan2.1\DiffSynth-Studio\diffsynth\models\model_manager.py", line 165, in match if len(state_dict) == 0: TypeError: object of type 'NoneType' has no len()

Walker4k

Thanks a lot

cool1

exactly on my list. an amazing gradio app to train with musubi-tuner

Furkan Gözükara

Could a GUI app based on Musubi-tuner (that seems related to Kohya SS) work for Wan 2.1 Lora training, including for Windows. Another trainer app page said (that was related to that but different) said there's (the other app not Musubi-tuner) wouldn't work on Windows. But the Musubi-tuner page says "Windows compatibility confirmed (Linux compatibility confirmed by community)". So maybe it would work, including for Windows PCs (depending on the GPU VRAM and the RAM. It says "VRAM: 12GB or more recommended for image training, 24GB or more for video training" and "Main Memory: 64GB or more recommended, 32GB + swap may work". Would that be workable? Maybe it could also be made more memory efficient for those who have less RAM (though I have enough). See: https://github.com/kohya-ss/musubi-tuner

cool1

How did you end up fixing this? I have the same issue.

Joseph Gentsch

yes we have seed feature already. uncheck random seed and type a seed you want

Furkan Gözükara

To check same seed but with some different settings. Like any TXT2IMG have. Yeah using nvitop too but sometimes want to see all in one UI.

George Gostyshev

Amazing - Trying it now!

Eugene Pitts

hello just fixed. please run updater and it should fix. ty for reporting

Furkan Gözükara

True currently LoRA fails with FP8. So use BF16. I will try to fix if i can

Furkan Gözükara

Thank you so much for your work - My text to video works but when I try to do Image to video with the Squish LoRa I get this error: Traceback (most recent call last): File "D:\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "D:\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "D:\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2103, in process_api result = await self.call_function( File "D:\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1650, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "D:\Wan21_v38\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "D:\Wan21_v38\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread return await future File "D:\Wan21_v38\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run result = context.run(func, *args) File "D:\Wan21_v38\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "D:\Wan21_v38\Wan2.1\App.py", line 749, in generate_videos loaded_pipeline = load_wan_pipeline(model_choice, torch_dtype, vram_value, lora_path=effective_loras, lora_alpha=None) File "D:\Wan21_v38\Wan2.1\App.py", line 1267, in load_wan_pipeline model_manager.load_lora(path, lora_alpha=alpha) File "D:\Wan21_v38\Wan2.1\DiffSynth-Studio\diffsynth\models\model_manager.py", line 388, in load_lora lora.load(model, state_dict, lora_prefix, alpha=lora_alpha, model_resource=model_resource) File "D:\Wan21_v38\Wan2.1\DiffSynth-Studio\diffsynth\models\lora.py", line 31, in wrapper result = func(*args, **kwargs) File "D:\Wan21_v38\Wan2.1\DiffSynth-Studio\diffsynth\models\lora.py", line 629, in load param.data = (param_float + lora_weight).to(param.dtype) RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!

Eugene Pitts

you mean save seed in config? vram usage monitors usually not working great i recommend nvitop

Furkan Gözükara

Great job! Is it possible to add a couple of things into app such as Reuse Seed and some kind of bar to check how much VRAM it currently used\remains?

George Gostyshev

your installation is outdated. please make a fresh , fresh install and move models folder

Furkan Gözükara

100% yes. Check CUDA version with nvcc --version and update CUDA to 12 like the documentation says to solve: TypeError: WanVideoPipeline.__call__() got an unexpected keyword argument 'tea_cache_l1_thresh'"

Bernice Crample

ye hopefully will cover it fully with easiest way

Furkan Gözükara

sure let me know. fresh install should work after watching this tutorial : https://youtu.be/DrhUHnYfwC0

Furkan Gözükara

Same error here after a few installs. Just noticed I didn't RTFM and am using CUDA 11.8 when it clearly says it requires CUDA 12. Intalling 12.8 now. will report back.

Bernice Crample

Thanks. I did. I deleted the "wan 2.1" folder (after renaming it to something else so I could copy the models from it. I didn't delete the folder that has the wan21_33.zip file and the "windows_install.bat" file etc. as they're needed to install it and call what gets put in the "wan 2.1" subfolder of that.

cool1

make a fresh config olders may not work . delete older ones.

Furkan Gözükara

I will research this if possible

Furkan Gözükara

yes 3060 is weak. you need to reduce number of frames and steps.

Furkan Gözükara

Hi Furkan, on my 3060 12GB it takes several hours to generate the video, i think it was 4 or 5 hours. Default settings. 10GB vram preset selected. Teacache enabled. Is it normal to take so long? 480p image to video version.

Chris

Thank you for the fast fix, and really looking forward to the lora training for it. Not many useful loras on Civitai for wan currently would love to be able to train my own and share with the community.

Ritesh 'Tez' B

Would it be possible to display a dynamic preview image in the Gradio interface? I know you can do it in ComfyUI and I find it really useful, especially if the video has unexpected movement you can catch early.

Chad Lumley

I've done that. I tried using it but it didnt' seem as fast as before but maybe it was things like the teacache setting. In Teacache L1 treshold if I set that to 0.15 (because it says "0.05 Threshold for 1.3b model and 0.15 for 14b models recommended") and then press "save config" it saves ""teacache_thresh": 0.15" in the current config file. Then if I press "load config" even though it's set at 0.15 in the current config file it sets teacache_thresh back to 0.05. Also the Tea Cache Model ID is set to "Wan2.1-T2V-1.3B" but the "model and resolution" is set to WAN 2.1 14B Image-to-Video 480P. I don't know why it's using a different model there in teacache model id than it is in the model and resolution" setting. It worked a lot faster when I re-ran it (with the 0.15 setting for teacache). But I don't know what that setting isn't getting loaded from the config.

cool1

yes certainly i can add trigger words will do :)

Furkan Gözükara

sorry error fixed with v33. and i plan to make a better training workflow hopefully than that

Furkan Gözükara

yep fresh install and cut back models

Furkan Gözükara

a fresh installation and cutting the models out and then pasting them back? I didn't see any errors when "update windows" was run though but I'll try that thanks.

cool1

make a fresh error obviously update failed for some reason and move models

Furkan Gözükara

Great! And please consider adding predefined prompts for each lora to load on selection 🙏

Tobe2d

When I downloaded the latest version 33 .bat file and extract all the files (except I keep the previous start_app.bat as that hasn't changed, so I keep the gradio analytics off as the newest versions never have it turned off, which will constantly send data to somewhere online). I clicked "update windows.bat" and that seemed to work okay. Then when I run the app and click generate with a 14b image to video, with rife unchecked (as that said it couldn't find ffmpeg, but I can interpolate in another app if needed), with the new teacache enabled, it says: "(in Wan2.1\venv\lib\site-packages\torch\utils\_contextlib.py) line 116, in decorate_context return func(*args, **kwargs) TypeError: WanVideoPipeline.__call__() got an unexpected keyword argument 'tea_cache_l1_thresh'" So now it doesn't create a video. But with the version (about version 31) with your teacache it did work.

cool1

i think there is an issue with the export when i use I2V 480p. no matter what aspect ratio is picked even if the pre processor image is the right resolution and aspect ratio both the outputs are forcing a 16:9. having this issue with only the latest v32. my tests only was with 3:4 ratio dont know if it is the same issue on others didnt get to check it yet. On a side note can you look into diffusion-Pipe wan 2.1 training lora i found a GUI on civitai but its in chinese. The link is below https://civitai.com/articles/10335/hunyuan-video-lora-trainning-with-gui-in-windows

Ritesh 'Tez' B

yes i plan to add all loras to downloader. they are not big so all can be downloaded :D

Furkan Gözükara

awesome

Furkan Gözükara

Quick suggestion: Maybe you can add All the lore's in drop down menu style with predefined prompts for each one https://huggingface.co/collections/Remade-AI/wan21-14b-480p-i2v-loras-67d0e26f08092436b585919b Just a thought ;-)

Tobe2d

Hey, thanks for the pointer. I added in system env under user env Variable name: HF_HOME Variable value: G:\huggingface_cache and it solved it ;-) Thanks a lot man!

Tobe2d

121 frames may cause it. I just tested 121 frames in 1.3b model, it worked but quality wasnt great. by the way frame count should be 4x+1. Also we made some updates and fixed some errors.

Furkan Gözükara

hi install Wan 2.1 into C drive and it will work. later you can reinstall into G drive and move models

Furkan Gözükara

ye that is a good idea

Furkan Gözükara

There's a "prompt enhance" option in this where it tries to enhance whatever prompt you enter, but it doesn't see what's in the image I think. And there's no control over how much extra text it adds. There's another app and model you gave (CogVLM2 image captioner) that is multi-modal and can see the image you give, so you could ask it to create a video prompt from that (custom instruction instead of just to describe the image) of what it thinks could happen in a short 5 second-ish video where the given image is the 1st frame of the video. You could also specify how many tokens to use (which you can't for the current one). So it would be good if there could also be an option for that, that used that multi-modal AI model to look at the image and create the video prompt from it.

cool1

When I run Windows_Download_Models.bat I am getting error: Enter your choice (e.g., 1,3,4,5): 6 [INFO] Downloading selected model(s)... Phase 1: Downloading specific files for Wan-AI/Wan2.1-T2V-1.3B from Wan-AI/Wan2.1-T2V-1.3B ... Traceback (most recent call last): File "G:\AI_Projects_G\Wan2.1\Download_Models.py", line 171, in main() File "G:\AI_Projects_G\Wan2.1\Download_Models.py", line 159, in main download_model_in_two_phases(repo_id, model_folder, common_items) File "G:\AI_Projects_G\Wan2.1\Download_Models.py", line 22, in download_model_in_two_phases snapshot_download(repo_id=repo_id, local_dir=model_specific_dir, ignore_patterns=common_items) File "C:\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 120, in _inner_fn return fn(*args, **kwargs) File "C:\Python310\lib\site-packages\huggingface_hub\_snapshot_download.py", line 233, in snapshot_download _inner_hf_hub_download(file) File "C:\Python310\lib\site-packages\huggingface_hub\_snapshot_download.py", line 212, in _inner_hf_hub_download return hf_hub_download( File "C:\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 120, in _inner_fn return fn(*args, **kwargs) File "C:\Python310\lib\site-packages\huggingface_hub\file_download.py", line 1280, in hf_hub_download return _to_local_dir(blob_path, local_dir, relative_filename, use_symlinks=local_dir_use_symlinks) File "C:\Python310\lib\site-packages\huggingface_hub\file_download.py", line 1568, in _to_local_dir _create_symlink(real_blob_path, local_dir_filepath, new_blob=False) File "C:\Python310\lib\site-packages\huggingface_hub\file_download.py", line 873, in _create_symlink _support_symlinks = are_symlinks_supported(os.path.dirname(os.path.commonpath([abs_src, abs_dst]))) File "C:\Python310\lib\ntpath.py", line 807, in commonpath raise ValueError("Paths don't have the same drive") ValueError: Paths don't have the same drive Download process completed. Press any key to exit.

Tobe2d

What if the results come out blurred, rainbowy, and glitchy?

ILikethePartWhen -

hello. 120 frames is really long. that is why. but we added newest teacache a minute ago. it really improves speed. try it.

Furkan Gözükara

hello. open a cmd and execute below commands huggingface-cli logout && unset HUGGINGFACE_TOKEN HUGGINGFACE_HUB_TOKEN also pip install huggingface_hub hf_transfer --upgrade

Furkan Gözükara

hello out of RAM. please set 100 GB virtual RAM on your fastest disk and try again and let me know.

Furkan Gözükara

[CMD] No LoRA selected. Using base model. [CMD] Loading model: 14B_image_720p with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 0 Loading models from: ['models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00001-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00002-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00003-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00004-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00005-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00006-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00007-of-00007.safetensors'] model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'has_image_input': True, 'patch_size': [1, 2, 2], 'in_dim': 36, 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 40, 'num_layers': 40, 'eps': 1e-06} Killed image 2 video

Fco Muñoz

Traceback (most recent call last): File "Download_Models.py", line 4, in from huggingface_hub import snapshot_download ModuleNotFoundError: No module named 'huggingface_hub'

Josh spivey

HI Doc, I installed all the requirements needed to run Wan, installed the latest version, and now generating a 480x480 video using the ITV 480p model for only 120 frames, at full quality takes eight hours. I am using a RTX 4060 Ti, what did I do wrong? I am running another try at 320x320 and now it says only sixteen minutes.

ILikethePartWhen -

follow requirements and reinstall and it should work : https://youtu.be/DrhUHnYfwC0 python 3.10, cuda 12.8, cudnn, c++ tools, MSVC, git, ffmpeg

Furkan Gözükara

Same issue on a fresh install on windows

Bradley Baker

yep 32 GB is the biggest problem. i will test if our app can run GGUF lets see

Furkan Gözükara

reinstall. if you make a video of how you are doing i can pinpoint your error

Furkan Gözükara

Hi in Massed Compute i install and download the models with no problem but when i want to start the app it gives me an error source venv/bin/activate bash: venv/bin/activate: No such file or directory i checked it and indeed that file is not there.

Fco Muñoz

32gb system RAM. It does run 1.3B no problem, but 14B takes many hours for 5s video, while 14B GGUF Q6 takes only 20min and the quality is way better than 1.3B

Laurynas Savickas

How much ram you have? Did you try fp8? 16 gb can run 13b 480p model fairly well

Furkan Gözükara

At 16gb vram I'm basically stuck with 1.3B, which has worse quality compared to 14B GGUF Q6 which I'm able to run. It pops a 480p 5s video in 20mins, while regular 14B would overflow to RAM and hardrive making it multiple hours for 5s video. So GGUF is a solution for 16gb vram. I can get a lot better quality with 14B GGUF compared to 1.3B model and the inference time is OKish. 1.3B spits a video out in 5 to 6 minutes, GGUF does it in 20min but the extra time is worth it. I wish I could run 14B normal model, it's amazing.

Laurynas Savickas

well it is related to your windows setup - happens with gradio. sadly i dont know exact solution but restarting pc and starting only 1 gradio may help

Furkan Gözükara

Every time I try to generate a image I get a Error message that say connection timed out after a couple seconds of generating. Can you tell me how to fix this. The first time I tried to generate a image it just kept working on it but never seen a image generated I closed the Wan 2.1 and restarted and that is when I kept getting errors. Try different setting but no change.

GREG TAYLOR

81 so far which is native count :D

Furkan Gözükara

What's the highest frames you've tested?

Chris B

thanks. best one is 81 frames. lower can be made. a little bit higher also. 50 steps great but work as low as 20 too (reduce quality sadly)

Furkan Gözükara

Excellent work! Are there any recommendations for the best number of inference steps? Right now, on a 4090, 50 steps take about ~25 minutes using default settings for 480p image to video. Also, if you increase frames, that will increase duration. How long of a duration has been tested to see how longer videos turn out? Do you need more inference + frames to get a good result? This is one thing I haven't tested yet. Looking forward to speed improvements hopefully coming soon!

Chris B

GGUF sacrifices quality. it is a tradeoff

Furkan Gözükara

yes this is the address

Furkan Gözükara

http://civitai.com/ search wan2.1

Morgan Old

Where can we get WAN Loras? A LoRa training app or addition to existing app would be nice. Also, GGUF versions for 14B would be nice. I am able to use 14B T2V Q6 on 16gb vram in comfyui and it takes around 22 minutes for 480p 5s video. But 14B 480p and 1.3B 480p have big difference. On 14B 480p looks much nicer, faces are clear, basically everything is drastically better.

Laurynas Savickas

sure i am following. people asked this

Furkan Gözükara

50 min normal but v2v shouldnt given error. can you send me video as a zip so i can fix? these errors happens due to your video doesnt have accurate number of frames or not matching your target frame. i will try to make it auto fixed : monstermmorpg@gmail.com

Furkan Gözükara

Thank you very much, as always, very useful and practical. My video card 4090 generates 720 5 second video in 30 steps for about 50 minutes, I don't know if this is normal or not? Today I tried v2v and got this error ***** Only `num_frames % 4 != 1` is acceptable. We round it up to 173. Traceback (most recent call last): File "C:\fr_work\wan_2_1\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "C:\fr_work\wan_2_1\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "C:\fr_work\wan_2_1\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2103, in process_api result = await self.call_function( File "C:\fr_work\wan_2_1\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1650, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "C:\fr_work\wan_2_1\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "C:\fr_work\wan_2_1\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread return await future File "C:\fr_work\wan_2_1\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run result = context.run(func, *args) File "C:\fr_work\wan_2_1\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "C:\fr_work\wan_2_1\Wan2.1\App.py", line 657, in generate_videos video_data = loaded_pipeline(input_video=video_obj, denoising_strength=denoising_strength, **common_args) File "C:\fr_work\wan_2_1\Wan2.1\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "C:\fr_work\wan_2_1\Wan2.1\DiffSynth-Studio\diffsynth\pipelines\wan_video.py", line 235, in __call__ latents = self.scheduler.add_noise(latents, noise, timestep=self.scheduler.timesteps[0]) File "C:\fr_work\wan_2_1\Wan2.1\DiffSynth-Studio\diffsynth\schedulers\flow_match.py", line 67, in add_noise sample = (1 - sigma) * original_samples + sigma * noise RuntimeError: The size of tensor a (43) must match the size of tensor b (44) at non-singleton dimension 2 *****

Morgan Old

Thanks for the quick reply. Hope they will release something in the near future. But I am sure you will keep us updated.

Bjoern

excellent question. sadly wan ai team didn't publish such model yet :(

Furkan Gözükara

Thanks for this. I am curious, why there is a Video-2-Video 1.3b Version for low VRAM, but no Image-2-Video for 1.3b? Shouldn't image-2-video be "easier" to handle and less ressources consuming than video-2-video?

Bjoern

hi. make a fresh install it will fix. make fresh install and move models. i just tested on rtx 3090 ti which is basically same genre card

Furkan Gözükara

I am getting the following error on my rtx3060 ti with 16GB VRAM: RuntimeError: getCudnnDataTypeFromScalarType() not supported for Float8_e4m3fn The complete error is: Traceback (most recent call last): File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2103, in process_api result = await self.call_function( File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1650, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread return await future File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run result = context.run(func, *args) File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "C:\Wan21_v28\Wan2.1\App.py", line 686, in generate_videos video_data = loaded_pipeline(input_image=processed_image, **common_args) File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "C:\Wan21_v28\Wan2.1\DiffSynth-Studio\diffsynth\pipelines\wan_video.py", line 248, in __call__ image_emb = self.encode_image(input_image, num_frames, height, width) File "C:\Wan21_v28\Wan2.1\DiffSynth-Studio\diffsynth\pipelines\wan_video.py", line 156, in encode_image clip_context = self.image_encoder.encode_image([image]) File "C:\Wan21_v28\Wan2.1\DiffSynth-Studio\diffsynth\models\wan_video_image_encoder.py", line 879, in encode_image out = self.model.visual(videos, use_31_block=True) File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) File "C:\Wan21_v28\Wan2.1\DiffSynth-Studio\diffsynth\models\wan_video_image_encoder.py", line 460, in forward x = self.patch_embedding(x).flatten(2).permute(0, 2, 1) File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) File "C:\Wan21_v28\Wan2.1\DiffSynth-Studio\diffsynth\vram_management\layers.py", line 38, in forward return module(*args, **kwargs) File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl return forward_call(*args, **kwargs) File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\torch\nn\modules\conv.py", line 554, in forward return self._conv_forward(input, self.weight, self.bias) File "C:\Wan21_v28\Wan2.1\venv\lib\site-packages\torch\nn\modules\conv.py", line 549, in _conv_forward return F.conv2d( RuntimeError: getCudnnDataTypeFromScalarType() not supported for Float8_e4m3fn And seems to work when I select "torch.bfloat16"

Relaxing Music

yes that is actually what i mean :) LoRA training for Wan

Furkan Gözükara

awesome. yes sadly a lot of rubbish pods there are :(

Furkan Gözükara

Put your LoRA models into LoRAs folder inside main Wan2.1 folder

Furkan Gözükara

In which directory do we place the LORAs?

Wktra

With runpod, im getting this when I click generate after a few minutes of it loading. torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.26 GiB. GPU 0 has a total capacity of 22.06 GiB of which 2.18 GiB is free. Process 670454 has 19.87 GiB memory in use. Of the allocated memory 18.12 GiB is allocated by PyTorch, and 1.52 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables) I see the loading bar for a split second and then this error above pops up. Do I need to change my Pods settings? Im using 200gb container disk and 300gb volume disk EDIT- I had a rubbish pod. Ignore me lol. All working now with a more legitimate one.

John

Would also love to see a decent guide for Wan lora training for local and runpod.

troyau

Yep i agree. Hopefully lora tutorial coming and also huge speed up for generations

Furkan Gözükara

Great, good things coming. Would be nice to get a speed up and Lora training tutorial. Loving the app so far. Popping videos in 1.3B with 4080super. Takes 5-6min per 5second video at 832x480.

Laurynas Savickas

for training i will make a guide hopefully

Furkan Gözükara

Thanks for the update. It says it now works with Loras (Wan 2.1) but will we be able to train the Loras for it too? I think that was mentioned previously. Or does that not work for windows currently (training images/video for it)?

cool1

hi what is your GPU model? if it is older version that doesnt support flash attention sadly wont work

Furkan Gözükara

Hi, i got this msg after i press generate. something because i have 4GB VRAM. "torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 1.96 GiB. GPU 0 has a total capacity of 4.00 GiB of which 1.29 GiB is free. Of the allocated memory 20.13 MiB is allocated by PyTorch, and 1.96 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation" even if i use this command "PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True" or chose this option "torch.float8_e4m3fn" it stuck at this weird msg abt flash attn. RuntimeError: FlashAttention only supports Ampere GPUs or newer. Exception raised from mha_varlen_fwd at C:\a\f\csrc\flash_attn\flash_api.cpp:542 (most recent call first): 00007FFB37392C2400007FFB37392B80 c10.dll!c10::Error::Error [ @ ] 00007FFB3739169A00007FFB37391640 c10.dll!c10::detail::torchCheckFail [ @ ] 00007FF9984A48C500007FF998495C20 flash_attn_2_cuda.cp310-win_amd64.pyd!c10::ivalue::Object::operator= [ @ ] 00007FF9984B7E9900007FF9984AC450 flash_attn_2_cuda.cp310-win_amd64.pyd!PyInit_flash_attn_2_cuda [ @ ] 00007FF9984B5F9F00007FF9984AC450 flash_attn_2_cuda.cp310-win_amd64.pyd!PyInit_flash_attn_2_cuda [ @ ] 00007FF9984B607400007FF9984AC450 flash_attn_2_cuda.cp310-win_amd64.pyd!PyInit_flash_attn_2_cuda [ @ ] 00007FF99849E60800007FF998495C20 flash_attn_2_cuda.cp310-win_amd64.pyd!c10::ivalue::Object::operator= [ @ ]

Han Has

you are welcome

Furkan Gözükara

gezz, don't know how I missed that, haha. I'll redownload, thanks!

Ashly

delete older models and download again. we have what you want Number of Generations. search it and increase it

Furkan Gözükara

Interesting, so when I had ffmpeg disabled yesterday it wasn't causing it to double load. I just downloaded the models from your script for the 480 version, not any others. Are the FP16 in that script? I'll take a look. While I have your attention I have one more question. I like to iterate multiple version of the same prompt with different seeds but I don't see an option in the setup to, say, output 5 versions in a row. Am I missing it or is this not possible right now? Thanks again!

Ashly

I just analyzed this carefully. it deloads model to be able to VAE decode. sadly no other option atm. did you download FP16 models? they are half size so should be 2x faster to load at least

Furkan Gözükara

Yes, I am using 480p 24GB on a 3090.

Ashly

you use 480p image to video? which model exactly so i can test and see

Furkan Gözükara

yes your internet related error. restart pc and try again. turn off antivirus try again. if all fails try cloudlfare warp VPN and try again until it perfectly git clone and install all

Furkan Gözükara

This is happening when I generate a single video now. I don't think it happens when I do batch (but I'm not sure). I used the "Windows_Update.bat" and it said I was up to date so I assume that means I am on v25

Ashly

are you generating batch image to video? are you on v25?

Furkan Gözükara

Thanks! I got ffmpeg working now but either that or the new updated changed some behavior of wan 2.1. It now saves two videos, one of them is called "improved", not sure why this is. My main issue now is that yesterday when I started the program it loaded the model once (which takes 10min or so) and then every generation after that it didn't need to load the model again. Now for every generation it reloads the model again. Any idea why this might be happening? This is what it says before the second generation now [in#1 @ 000002763fb4b9c0] Error opening input: No such file or directory Error opening input file ./temp/audio.mkv. Error opening input files: No such file or directory Audio transfer failed. Interpolated video will have no audio [CMD] Practical-RIFE finished. Improved video saved to: outputs\improved_00022.mp4 [CMD] Generation complete. Overall Duration: 1387.18 seconds. Last used seed: 2880374580 [CMD] No LoRA selected. Using base model. [CMD] Loading model: 14B_image_480p with torch dtype

Ashly

looks like you didnt download models :)

Furkan Gözükara

Hello, i am following the tutorial, gradio app loads successfully and selects the right model. I enter a prompt and click generate, however nothing happens. And at the terminal I see the following stack trace: ```Traceback (most recent call last): File "D:\Backup\Proyectos\stable-diffusion\sec_courses_patreon_tutorial\Wan21_v25\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "D:\Backup\Proyectos\stable-diffusion\sec_courses_patreon_tutorial\Wan21_v25\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "D:\Backup\Proyectos\stable-diffusion\sec_courses_patreon_tutorial\Wan21_v25\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2108, in process_api result = await self.call_function( File "D:\Backup\Proyectos\stable-diffusion\sec_courses_patreon_tutorial\Wan21_v25\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1655, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "D:\Backup\Proyectos\stable-diffusion\sec_courses_patreon_tutorial\Wan21_v25\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "D:\Backup\Proyectos\stable-diffusion\sec_courses_patreon_tutorial\Wan21_v25\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread return await future File "D:\Backup\Proyectos\stable-diffusion\sec_courses_patreon_tutorial\Wan21_v25\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run result = context.run(func, *args) File "D:\Backup\Proyectos\stable-diffusion\sec_courses_patreon_tutorial\Wan21_v25\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "D:\Backup\Proyectos\stable-diffusion\sec_courses_patreon_tutorial\Wan21_v25\Wan2.1\App.py", line 392, in generate_videos loaded_pipeline = load_wan_pipeline(model_choice, torch_dtype, vram_value, File "D:\Backup\Proyectos\stable-diffusion\sec_courses_patreon_tutorial\Wan21_v25\Wan2.1\App.py", line 823, in load_wan_pipeline model_manager.load_models( File "d:\backup\proyectos\stable-diffusion\sec_courses_patreon_tutorial\wan21_v25\wan2.1\diffsynth-studio\diffsynth\models\model_manager.py", line 422, in load_models self.load_model(file_path, model_names, device=device, torch_dtype=torch_dtype) File "d:\backup\proyectos\stable-diffusion\sec_courses_patreon_tutorial\wan21_v25\wan2.1\diffsynth-studio\diffsynth\models\model_manager.py", line 404, in load_model if model_detector.match(file_path, state_dict): File "d:\backup\proyectos\stable-diffusion\sec_courses_patreon_tutorial\wan21_v25\wan2.1\diffsynth-studio\diffsynth\models\model_manager.py", line 165, in match if len(state_dict) == 0: TypeError: object of type 'NoneType' has no len() ```

Manuel Garrido Peña

Not sure why. The first time in ran the V25 installer the repository was not being copied into the Wan2.1 directory. I remember seeing an error during the install before torch 2.7. I think it said an Error with RDP or RDC. I deleted everything and re-downloaded the V25 package. Everything is now working properly.

ForceX

I just did a clean install with v25. Looks like the VENV folder is getting created in the root folder alongside the installer .bat file instead of the Wan2.1 folder. The Start_App.bat is looking for the VENV folder inside the Wan2.1 folder but it’s completely empty except for the models folder. V14 (my previously installed version) installs properly. Maybe something with the V25 installer?

ForceX

awesome

Furkan Gözükara

thanks a lot

Furkan Gözükara

assert _HAS_FFMPEG, "Cannot find installation of ffmpeg." AssertionError: Cannot find installation of ffmpeg. hi you are missing ffmpeg. please follow this video and install ffmpeg : https://youtu.be/DrhUHnYfwC0

Furkan Gözükara

hello. you need to follow this video first. you are missing git very likely : https://youtu.be/DrhUHnYfwC0

Furkan Gözükara

the repo is public. so something in your system blocking it. you can see here : https://huggingface.co/MonsterMMORPG/Practical-RIFE the other urls are also public as well. if you have VPN antivirus check them

Furkan Gözükara

for all user make attention to follow the prerequiste video if you install all correct version this windows installer works perfect thanks for your help and your works

Bertrand Samimi

Hi. I have an error at the end of installation and similar error when trying to download models that indicates a possible problem with hugging face authorisation. I wonder if I could ask for your advice please? Error details as follows: 1. End on installation... Returning existing local_dir `Wan2.1\Practical-RIFE` as remote repo cannot be accessed in `snapshot_download` (401 Client Error: Unauthorized for url: https://huggingface.co/api/models/MonsterMMORPG/Practical-RIFE/revision/main (Request ID: Root=1-67c81da3-721a6f1c0058e0c834bc1cb4;9d813e52-3874-4fac-8f0d-e0acc64c6393) Invalid credentials in Authorization header). Wan 2.1 installed check out all messages and save them before close to verify any errors or not later Press any key to continue . . . 2. Downloading models... Enter your choice (1-6): 1 Downloading Wan2.1-T2V-1.3B... Traceback (most recent call last): File "C:\Python310\lib\site-packages\huggingface_hub\utils\_http.py", line 409, in hf_raise_for_status response.raise_for_status() File "C:\Python310\lib\site-packages\requests\models.py", line 1024, in raise_for_status raise HTTPError(http_error_msg, response=self) requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/api/models/Wan-AI/Wan2.1-T2V-1.3B/revision/main The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:\Python310\lib\site-packages\huggingface_hub\_snapshot_download.py", line 155, in snapshot_download repo_info = api.repo_info(repo_id=repo_id, repo_type=repo_type, revision=revision, token=token) File "C:\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "C:\Python310\lib\site-packages\huggingface_hub\hf_api.py", line 2734, in repo_info return method( File "C:\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "C:\Python310\lib\site-packages\huggingface_hub\hf_api.py", line 2519, in model_info hf_raise_for_status(r) File "C:\Python310\lib\site-packages\huggingface_hub\utils\_http.py", line 481, in hf_raise_for_status raise _format(HfHubHTTPError, str(e), response) from e huggingface_hub.errors.HfHubHTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/api/models/Wan-AI/Wan2.1-T2V-1.3B/revision/main (Request ID: Root=1-67c81a8b-6c744d121597e0b048e42ba2;997e9172-bbbd-4cfb-b6f1-c5b675033f8d) Invalid credentials in Authorization header The above exception was the direct cause of the following exception: Traceback (most recent call last): File "H:\AI_Video_Creation\Wan_AI\Download_Models.py", line 71, in download_model(sys.argv[1]) File "H:\AI_Video_Creation\Wan_AI\Download_Models.py", line 12, in download_model snapshot_download( File "C:\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "C:\Python310\lib\site-packages\huggingface_hub\_snapshot_download.py", line 235, in snapshot_download raise LocalEntryNotFoundError( huggingface_hub.errors.LocalEntryNotFoundError: An error happened while trying to locate the files on the Hub and we cannot find the appropriate snapshot folder for the specified revision on the local disk. Please check your internet connection and try again. Press any key to continue . . .

Lee

Hi! I have just gone through your tutorial today and installed the I-2-V 14B 720P model. When I went to launch the app though via Start_APP.bat, nothing happened. No error showing. I did the other steps in the other video tutorial. I can see a command screen momentarily open, then it disappears. I then wondered if the Windows_Install_All_GPUs.bat file should be double clicked. I now seem to be getting this: C:\Python310\python.exe: can't open file 'C:\\Wan21_v25\\Wan2.1\\App.py': [Errno 2] No such file or directory Press any key to continue . . . Any ideas?

Ash Murphy

Hi again! Everything is working great except batch process. I started with V14 but used the Windows_Update.bat tonight, which I assume got me up to date. Whenever I run a batch it completes the first video and then I get the error below, any idea why? Thanks for you continued attention to everything, you are amazing! [CMD] Saved auto processed image: auto_pre_processed_images\-000033-305626887.png [CMD] Saved prompt and parameters: H:\AI_Images\20231208-Cyberpunk-Collection-MetalSkin\_Original Selections-ALL\Picks-for-Image-to-Video\Vertical-OutputVideos\-000033-305626887.txt [CMD] Applying Practical-RIFE with multiplier 2x FPS on video H:\AI_Images\20231208-Cyberpunk-Collection-MetalSkin\_Original Selections-ALL\Picks-for-Image-to-Video\Vertical-OutputVideos\-000033-305626887.mp4 [CMD] Running command: "H:\Wan 2-1- AI Video Gen\Wan2.1\venv\Scripts\python.exe" "Practical-RIFE/inference_video.py" --model="H:\Wan 2-1- AI Video Gen\Wan2.1\Practical-RIFE\train_log" --multi=2 --video="H:\AI_Images\20231208-Cyberpunk-Collection-MetalSkin\_Original Selections-ALL\Picks-for-Image-to-Video\Vertical-OutputVideos\-000033-305626887.mp4" --output="H:\AI_Images\20231208-Cyberpunk-Collection-MetalSkin\_Original Selections-ALL\Picks-for-Image-to-Video\Vertical-OutputVideos\improved_-000033-305626887.mp4" Loaded 3.x/4.x HD model. Traceback (most recent call last): File "H:\Wan 2-1- AI Video Gen\Wan2.1\Practical-RIFE\inference_video.py", line 111, in lastframe = next(videogen) File "H:\Wan 2-1- AI Video Gen\Wan2.1\venv\lib\site-packages\skvideo\io\io.py", line 240, in vreader assert _HAS_FFMPEG, "Cannot find installation of ffmpeg." AssertionError: Cannot find installation of ffmpeg. Traceback (most recent call last): File "H:\Wan 2-1- AI Video Gen\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "H:\Wan 2-1- AI Video Gen\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "H:\Wan 2-1- AI Video Gen\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2108, in process_api result = await self.call_function( File "H:\Wan 2-1- AI Video Gen\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1655, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "H:\Wan 2-1- AI Video Gen\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "H:\Wan 2-1- AI Video Gen\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread return await future File "H:\Wan 2-1- AI Video Gen\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run result = context.run(func, *args) File "H:\Wan 2-1- AI Video Gen\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "H:\Wan 2-1- AI Video Gen\Wan2.1\App.py", line 750, in batch_process_videos subprocess.run(cmd, shell=True, check=True, env=os.environ) File "C:\Program Files\Python310\lib\subprocess.py", line 526, in run raise CalledProcessError(retcode, process.args, subprocess.CalledProcessError: Command

Ashly

man, you're smoking through the versions. Thank you!

EnjoyerOfAll

hi if you have cuda 12.4 and c++ tools as in tutorial then solution is easy. close the program. find .triton cache folder inside C:\Users\your_user_name and delete it. it might be hidden. and restart app and it should get fixed make sure to find .triton and delete

Furkan Gözükara

Hi! Thanks for your great work! Just tryed to install, I followedall the steps in this video (https://www.youtube.com/watch?v=DrhUHnYfwC0) and reinstaled 2 times but I keep geting this error message, hope you can help me: import error: DLL load failed while importing libtriton: Error en una rutina de inicialización de biblioteca de vínculos dinámicos (DLL). A matching Triton is not available, some optimizations will not be enabled Traceback (most recent call last): File "F:\Installs\Wan 2.1 (Vid Open Source Model)\Wan21_v12\Wan2.1\venv\lib\site-packages\xformers\__init__.py", line 57, in _is_triton_available import triton # noqa File "F:\Installs\Wan 2.1 (Vid Open Source Model)\Wan21_v12\Wan2.1\venv\lib\site-packages\triton\__init__.py", line 20, in from .runtime import ( File "F:\Installs\Wan 2.1 (Vid Open Source Model)\Wan21_v12\Wan2.1\venv\lib\site-packages\triton\runtime\__init__.py", line 1, in from .autotuner import (Autotuner, Config, Heuristics, autotune, heuristics) File "F:\Installs\Wan 2.1 (Vid Open Source Model)\Wan21_v12\Wan2.1\venv\lib\site-packages\triton\runtime\autotuner.py", line 9, in from .jit import KernelInterface File "F:\Installs\Wan 2.1 (Vid Open Source Model)\Wan21_v12\Wan2.1\venv\lib\site-packages\triton\runtime\jit.py", line 12, in from ..runtime.driver import driver File "F:\Installs\Wan 2.1 (Vid Open Source Model)\Wan21_v12\Wan2.1\venv\lib\site-packages\triton\runtime\driver.py", line 1, in from ..backends import backends File "F:\Installs\Wan 2.1 (Vid Open Source Model)\Wan21_v12\Wan2.1\venv\lib\site-packages\triton\backends\__init__.py", line 50, in backends = _discover_backends() File "F:\Installs\Wan 2.1 (Vid Open Source Model)\Wan21_v12\Wan2.1\venv\lib\site-packages\triton\backends\__init__.py", line 43, in _discover_backends compiler = _load_module(name, os.path.join(root, name, 'compiler.py')) File "F:\Installs\Wan 2.1 (Vid Open Source Model)\Wan21_v12\Wan2.1\venv\lib\site-packages\triton\backends\__init__.py", line 12, in _load_module spec.loader.exec_module(module) File "F:\Installs\Wan 2.1 (Vid Open Source Model)\Wan21_v12\Wan2.1\venv\lib\site-packages\triton\backends\amd\compiler.py", line 2, in from triton._C.libtriton import ir, passes, llvm, amd ImportError: DLL load failed while importing libtriton: Error en una rutina de inicialización de biblioteca de vínculos dinámicos (DLL).

Josep Antón Velázquez

hi you can try v23 it has some new fixes

Furkan Gözükara

yes i plan to make a full guide for wan lora training hopefully soon

Furkan Gözükara

Would be nice to get some light on how to train loras for Wan 2.1 and what GPU can pull it off, if 16gb vram model is good enough? Some sort of Lora training app would be awesome. I understand this is extra work therefore I am willing to pay extra if you pull this off for us. Can't work for free. I feel like my 75 Norwegian kroner a month can be upped a bit haha.

Laurynas Savickas

yes hopefully i will add this. so it can reload your last config

Furkan Gözükara

Alright, sounds good. Any chance we can get a save settings button, so we don't need to retweak the app on restart? Not a priority tho, just something when and if you have time

Laurynas Savickas

yes your error is you are missing python 3.10.11 very likely other requirements too. please follow every step of this video : https://youtu.be/DrhUHnYfwC0

Furkan Gözükara

Third ERROR: Invalid requirement: 'triton==3.2.0-git8f9b005b': Expected end or semicolon (after version specifier) triton==3.2.0-git8f9b005b ~~~~~~~^ four ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory: 'C:\\Users\\inter\\AppData\\Local\\Temp\\pip-install-fpt0ldeb\\flash-attn_ccae1a0ebe814b7788081cd4952b95bf\\csrc\\composable_kernel\\library\\include\\ck\\library\\tensor_operation_instance\\gpu\\grouped_conv_bwd_weight\\device_grouped_conv_bwd_weight_two_stage_xdl_instance.hpp' what is wrong on my install

Bertrand Samimi

first ERROR: flash_attn-2.7.4.post1-cp310-cp310-win_amd64.whl is not a supported wheel on this platform. second ERROR: deepspeed-0.16.4-cp310-cp310-win_amd64.whl is not a supported wheel on this platform.

Bertrand Samimi

thanks for your help but i have deleted all the folder and restart again during the first windows intall process i have this error

Bertrand Samimi

thank you so much

Furkan Gözükara

i think that feature can be added however i dont think would be consistent. but there is a repo i follow which will double generation frame count with consistency. they said they will implement it

Furkan Gözükara

hi i couldnt upload yet but i changed to FP16 version atm which takes half space. can you try new download? if still fails i will upload single zip files

Furkan Gözükara

1.3b is still FP32 weights. I am waiting FP16 weights to be published. we are doing inference at BF16

Furkan Gözükara

hi currently this is highest quality. because we do inference on bf16. so f32 weights and fp16 weights yields exactly same results i compared.

Furkan Gözükara

please download v21 and run windows updater. currently i know there is numpy related error messages. it works. but i am trying to solve that conflict messages as well. still with conflicts it is working

Furkan Gözükara

hi bravo for your work unfortuneltly on windiws i have this error during install ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. numba 0.61.0 requires numpy<2.2,>=1.24, but you have numpy 2.2.3 which is incompatible.

Bertrand Samimi

there should be an option to run highest possible quality 1.3B model.

Laurynas Savickas

Thanks! 20 steps works much faster and is giving better results on output. It would be amazing if there was a feature that took the last frame from a 5 second video and created another 5 second animation and so on and so forth. Have you experimented with anything like this to create longer videos that are consistent?

Ashly

Can we choose which models to download? Nvidia GPUs are optimized for BF16, it is the fastest for NVidia without loosing much quality, everything else I would go fp32, like text encoder or video encoder. At least on 1.3B model since it's already very lightweight there is no point in losing more precision, I would say.

Laurynas Savickas

where is the URL of all models you zip?

Meet Inventor

what you can do is either reduce 81 frames to lower to get lower duration or reduce step count to like 20. not much else but don't worry I am working on Flash Attention 3 and Teacache (coming very soon hopefully) and especially teacache should bring like 40% speed up I expect

Furkan Gözükara

hi yes your frame count not matching : Only `num_frames % 4 != 1` is acceptable. We round it up to 77. can you send me your video so i can apply automatic fix or you have to fix your input video to % 4 = 1. or make a very fresh install and it should fix it. move your models

Furkan Gözükara

yes i plan to train Wan 2.1 and make a tutorial

Furkan Gözükara

hello. looks like models were not downloaded properly. i am uploading all models as zip file to manually download

Furkan Gözükara

WAN 2.1 1.3B Text-to-Video working but WAN 2.1 14B Text-to-Video have following error as follow. Anybody have similar issue? Please share! INFO: Could not find files for the given pattern(s). * Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. WAN 2.1 14B Text-to-Video [CMD] Loading model: 14B_text with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 1000000000 Loading models from: ['models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00001-of-00006.safetensors', 'models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00002-of-00006.safetensors', 'models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00003-of-00006.safetensors', 'models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00004-of-00006.safetensors', 'models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00005-of-00006.safetensors', 'models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00006-of-00006.safetensors'] model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'model_type': 't2v', 'patch_size': (1, 2, 2), 'text_len': 512, 'in_dim': 16, 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06} The following models are loaded: ['wan_video_dit']. Loading models from: models/Wan-AI/Wan2.1-T2V-14B/models_t5_umt5-xxl-enc-bf16.pth Traceback (most recent call last): File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2108, in process_api result = await self.call_function( File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1655, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread return await future File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run result = context.run(func, *args) File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "C:\wan_gen\Wan21_v14\Wan2.1\App.py", line 343, in generate_videos loaded_pipeline = load_wan_pipeline(model_choice, torch_dtype, vram_value) File "C:\wan_gen\Wan21_v14\Wan2.1\App.py", line 705, in load_wan_pipeline model_manager.load_models( File "c:\wan_gen\wan21_v14\wan2.1\diffsynth-studio\diffsynth\models\model_manager.py", line 422, in load_models self.load_model(file_path, model_names, device=device, torch_dtype=torch_dtype) File "c:\wan_gen\wan21_v14\wan2.1\diffsynth-studio\diffsynth\models\model_manager.py", line 400, in load_model state_dict = load_state_dict(file_path) File "c:\wan_gen\wan21_v14\wan2.1\diffsynth-studio\diffsynth\models\utils.py", line 69, in load_state_dict return load_state_dict_from_bin(file_path, torch_dtype=torch_dtype) File "c:\wan_gen\wan21_v14\wan2.1\diffsynth-studio\diffsynth\models\utils.py", line 83, in load_state_dict_from_bin state_dict = torch.load(file_path, map_location="cpu", weights_only=True) File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\torch\serialization.py", line 1376, in load return _legacy_load( File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\torch\serialization.py", line 1611, in _legacy_load return legacy_load(f) File "C:\wan_gen\Wan21_v14\Wan2.1\venv\lib\site-packages\torch\serialization.py", line 1485, in legacy_load tar.extract("storages", path=tmpdir) File "C:\Python310\lib\tarfile.py", line 2091, in extract tarinfo = self.getmember(member) File "C:\Python310\lib\tarfile.py", line 1813, in getmember raise KeyError("filename %r not found" % name) KeyError: "filename 'storages' not found"

Meet Inventor

Thanks for the updates, this is crazy, every few hours new version!! Is there any planned tutorial to train Lora videos in Kohya? I feel the ones training with images will not work in wan2.1

Iván López

Hello again, managed to fix the connection error. However I'm trying to use the 1.3B video to video option and I keep getting this error now: [CMD] Processing video-to-video with input video: C:\Users\John Fiore\AppData\Local\Temp\gradio\70c76d83032dd401c47d780c3159d4e350715ac045e82e03c67af6929faf4864\vlc-record-2025-03-03-20h11m27s-0hi79sql5xuiqkcz6cu9esource.mp4-_cropped.mp4 Only `num_frames % 4 != 1` is acceptable. We round it up to 77. Traceback (most recent call last): File "C:\Wan21_v12\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "C:\Wan21_v12\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "C:\Wan21_v12\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2108, in process_api result = await self.call_function( File "C:\Wan21_v12\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1655, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "C:\Wan21_v12\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "C:\Wan21_v12\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread return await future File "C:\Wan21_v12\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run result = context.run(func, *args) File "C:\Wan21_v12\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "C:\Wan21_v12\Wan2.1\App.py", line 424, in generate_videos video_data = loaded_pipeline(input_video=video_obj, denoising_strength=denoising_strength, **common_args) File "C:\Wan21_v12\Wan2.1\venv\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "c:\wan21_v12\wan2.1\diffsynth-studio\diffsynth\pipelines\wan_video.py", line 233, in __call__ latents = self.scheduler.add_noise(latents, noise, timestep=self.scheduler.timesteps[0]) File "c:\wan21_v12\wan2.1\diffsynth-studio\diffsynth\schedulers\flow_match.py", line 67, in add_noise sample = (1 - sigma) * original_samples + sigma * noise RuntimeError: The size of tensor a (19) must match the size of tensor b (20) at non-singleton dimension 2 Any idea on what's causing it?

JOHN FIORE

Thank you so much for this! I am up and running with your v14. I am running the 480 models on a 3090. I have left all the settings on default and to output a 5 second video it is taking roughly 1 hour and 20 min. Does this seem really long? Is there something I can do to optimize? Thanks for your time!

Ashly

Great. Keep at it. Your efforts are well worth the patronage.

DanO..

hello. do you see any error on CMD? if not restart PC and try with Google Chrome. let me know

Furkan Gözükara

Hello again, I got it to work. I reinstalled everything and it seemed to work this time. However when I try and generate anything it keeps saying "error, connection timed out" over and over. What could be the cause of this?

JOHN FIORE

thanks and you are right

Furkan Gözükara

hi restart means your system not stable and it is filling entire RAM likely. first verify your PC stability. then increase your virtual RAM. and then load as FP8. how much RAM you have? About quantized thing i am working on that on another interface but currently the library we use doesnt work sadly. but we gonna get hopefully flash attention 3 if works and teacache. i am also working on LoRA right now almost done to support LoRAs

Furkan Gözükara

it is fine you can ignore :)

Furkan Gözükara

hi this is still same error. i will upload models for you as a zip file to download at once. should be ready tomorrow hopefully. so you can manually download and extract

Furkan Gözükara

please tell the errors. but very likely broken pod. if you tell me more info like which model which error i can try and fix if any errors. sorry for late reply

Furkan Gözükara

in that case try this. if you are using VPN disable. disable antivirus. try Cloudflare WARP vpn - any of these 3 should fix

Furkan Gözükara

hi sadly this doesnt tell any error. it could be that your RAM failing. can you try 1.3b model? it should work perfect and let me know please

Furkan Gözükara

I have a 3090 and everytime I try to generate a image to video (didn't try others yet) it just stops (and I get the "Press any key to continue . . ." in the cmd window) and I could make it work in comfyui, I just wanted something cleaner. : * Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. WAN 2.1 1.3B (Text/Video-to-Video) WAN 2.1 14B Image-to-Video 720P WAN 2.1 14B Image-to-Video 480P Qwen/Qwen2.5-14B-Instruct Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 8/8 [01:05<00:00, 8.15s/it] [CMD] Loading model: 14B_image_480p with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 0 Loading models from: ['models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00001-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00002-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00003-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00004-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00005-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00006-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-480P/diffusion_pytorch_model-00007-of-00007.safetensors'] model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'model_type': 'i2v', 'patch_size': (1, 2, 2), 'text_len': 512, 'in_dim': 36, 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06} Press any key to continue . . .

Goldo 27

Cool - bear in mind RAM offload may be an issue for some users, so a smaller model may help, but I'm sure you're considering that. Thanks for all the hard work :)

Al H

I am getting an error when downloading any of the 14B Models. Even after removing the "speed up" line of code in the bat file. Does this happen to anyone else?

Andrei Croitor

Runpod is giving me a lot of errors and won't run.

jaehyun AI

Hello again, thanks for the response. I tried disabling my anti virus and firewall and I'm pretty sure I got a different error, it doesn't mention anything about internet connection this time: https://pastebin.com/2h8Ha8ha Do you think it's still the same issue?

JOHN FIORE

I'm getting errors since the last two versions. ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. scikit-image 0.25.2 requires numpy>=1.24, but you have numpy 1.23.5 which is incompatible.

Tarkan Sarim

Hi. I'm still getting a blue screen forced restart anytime I try any of the 14B models. RTX 3060 12GB VRAM. 1.3 works fine. I'm hoping quantized models will work better. Is that something you have in mind?

DanO..

thanks a lot for info and you are welcome. i am glad you solved

Furkan Gözükara

I found my mistake, I copied and pasted the downloaded models from my previous install to save having to download them again to the new install and you evidently cant do that, it works now thank you for your help.

Paul Gardiner

hi with v14 fixed thanks for reporting

Furkan Gözükara

sure

Furkan Gözükara

I downloaded the 1.3 and the 14 but I'll delete them and do it again

Paul Gardiner

hi this is your internet related. your internet service provider or like antivirus. as a solution i recommend install WARP VPN and enable it and try redownload 1.1.1.1

Furkan Gözükara

hi. please follow requirements. you need python 3.10.11, cuda 12.4+, c++ tools, ffmpeg : https://youtu.be/DrhUHnYfwC0 - follow every step

Furkan Gözükara

hi try 480p model for now. i am working on speed up hopefully. 14b models are just requiring too much VRAM therefore they are slow. 1.3b model should work blazing fast though.

Furkan Gözükara

hi please download models that you are going to use. we have model downloader use it.

Furkan Gözükara

Hi, Reinstalled , followed tutorials for all teh latest requirements but still not working beyond loading the interface. I'd appreciate your advice. To create a public link, set `share=True` in `launch()`. WAN 2.1 1.3B (Text/Video-to-Video) WAN 2.1 1.3B (Text/Video-to-Video) [CMD] Loading model: 1.3B with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 500000000 Loading models from: models/Wan-AI/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'model_type': 't2v', 'patch_size': (1, 2, 2), 'text_len': 512, 'in_dim': 16, 'dim': 1536, 'ffn_dim': 8960, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 12, 'num_layers': 30, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06} The following models are loaded: ['wan_video_dit']. Loading models from: models/Wan-AI/Wan2.1-T2V-1.3B/models_t5_umt5-xxl-enc-bf16.pth Traceback (most recent call last): File "Z:\Wan21_v12\Wan2.1\venv\lib\site-packages\gradio\queueing.py", line 625, in process_events response = await route_utils.call_process_api( File "Z:\Wan21_v12\Wan2.1\venv\lib\site-packages\gradio\route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "Z:\Wan21_v12\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 2108, in process_api result = await self.call_function( File "Z:\Wan21_v12\Wan2.1\venv\lib\site-packages\gradio\blocks.py", line 1655, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "Z:\Wan21_v12\Wan2.1\venv\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "Z:\Wan21_v12\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 2461, in run_sync_in_worker_thread return await future File "Z:\Wan21_v12\Wan2.1\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 962, in run result = context.run(func, *args) File "Z:\Wan21_v12\Wan2.1\venv\lib\site-packages\gradio\utils.py", line 890, in wrapper response = f(*args, **kwargs) File "Z:\Wan21_v12\Wan2.1\App.py", line 349, in generate_videos loaded_pipeline = load_wan_pipeline(model_choice, torch_dtype, vram_value) File "Z:\Wan21_v12\Wan2.1\App.py", line 683, in load_wan_pipeline model_manager.load_models( File "z:\wan21_v12\wan2.1\diffsynth-studio\diffsynth\models\model_manager.py", line 422, in load_models self.load_model(file_path, model_names, device=device, torch_dtype=torch_dtype) File "z:\wan21_v12\wan2.1\diffsynth-studio\diffsynth\models\model_manager.py", line 404, in load_model if model_detector.match(file_path, state_dict): File "z:\wan21_v12\wan2.1\diffsynth-studio\diffsynth\models\model_manager.py", line 165, in match if len(state_dict) == 0: TypeError: object of type 'NoneType' has no len()

Paul Gardiner

I got 64 GB 3,200 MHz RAM, and 16 GB RTX 3080 notebook version. Settings: Model: WAN 2.1 14B Image-to-Video 720P GPU VRAM Preset: 16 GB Aspect Ration: 16:9 Width: 1,280 Height: 780 Tiled VAE Decode: Activated Inference Steps: 50 FPS Multiplier: 4x GPU Settings: torch.bfloat16 Quality: 10 FPS (for saving video): 8 Number of Frames: 81 If not mentioned it means the setting is default. I want the best quality but I'm getting 4811.58/it for 2/50 steps. (2:41:07) Estimated time to finish: ~64 hours. Either something is wrong or my settings are way to high. I don't mind waiting 8 hours for a 5 second video. Any advice if something might be wrong or best quality settings for 8 hours work yielding 5 second video. I made a clean install of Wan21_v12.zip and downloaded models: Wan2.1-I2V-14B-720P Qwen2.5-14B-Instruct

Hockey

Wan21_v12 = ImportError: DLL load failed while importing flash_attn_2_cuda: No se puede encontrar el módulo especificado.

Juan Grande

Hello, I got an error trying to download the models, not sure what's going wrong. I followed the requirements correctly and also deleted that one line that makes it download faster, as you advised in your video, but I get the same error: https://pastebin.com/kjGM6sZ4

JOHN FIORE

after the update, prompt enhance works only once, after changing the prompt and running it again the call runs into an error, are you checking if the model is already loaded?

weirdgoat

No issues it works you can ignore

Furkan Gözükara

In the installation, 2 errors: ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. diffsynth 1.1.1 requires transformers==4.46.2, but you have transformers 4.49.0 which is incompatible. ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. scikit-image 0.25.2 requires numpy>=1.24, but you have numpy 1.23.5 which is incompatible.

Pablo Montero

Also good news. Teacache (I made a request for this) may get added and there is a pull request for sage attention. Both can speed up significantly

Furkan Gözükara

I need more info. What do you see in cmd? Installation full logs also needed to be looked.

Furkan Gözükara

Well I am gonna use same library as the one we use for training - my initial plan. They fully optimize so we will see. Didn't have time yet. First planning to add Lora support

Furkan Gözükara

Update wasn't pushed. My bad. Just pushed. please update

Furkan Gözükara

I am glad you solved. This also exists in your requirements tutorial source post.

Furkan Gözükara

Thanks hopefully will fix this. Currently we can't set it as far as I know but I am following the developments

Furkan Gözükara

GGUF speed almost same as ours at the moment we have tested. In some cases GGUF slightly faster we are trying to fix the gap as well

Furkan Gözükara

Update wasn't pushed. My bad. Just pushed. please update

Furkan Gözükara

Update wasn't pushed. My bad. Just pushed. please update

Furkan Gözükara

cant see CFG and new panel. something wrong with the update ?

Haroon Aslam

hi, why i can't see Practical-RIFE on V12?

hacbachvotinh

NVM, resolved by following comment at end of https://github.com/comfyanonymous/ComfyUI/issues/5216

EnjoyerOfAll

I'm sure you have a very busy feature list, and I'm sure you've considered these, but I've been getting good results with ComfyUI and https://huggingface.co/city96/Wan2.1-I2V-14B-480P-gguf/tree/main - if people are struggling for speed, these GGUFs may offer an option?

Al H

Thanks for providing this nice app! I noticed one small bug: When selecting the aspect ratio 9:16_low (e.g. with the 720P model) width and height are wrong. It is preconfigured as 832x480 (same as 16:9_low - not swapped). Previously I used CogVideoX Image2Video with ComfyUI. There it was possible to define a start frame as well as an end frame. Is this possible with WAN, too?

Simon

Windows. I'm getting this on V12. File "C:\Windows\System32\Wan2.1\venv\lib\site-packages\triton\runtime\build.py", line 57, in _build raise RuntimeError("Failed to find C compiler. Please specify via CC environment variable.") RuntimeError: Failed to find C compiler. Please specify via CC environment variable.

EnjoyerOfAll

Updated fresh to v12, but still says v11 and no scaler option.

Laurynas Savickas

yes i am following. they said they gonna add sageattention too. currently our speed close to comfyui with better quality with full bf16

Furkan Gözükara

yes hopefully coming soon. please message me a good lora for testing

Furkan Gözükara

Do you know more about the update that's supposed to significantly speed it up - especially the 720p one (the attention one). Are they still working on that?

cool1

One place talked about lora training for it in comfy, though it mentioned training individual image files with .txt captions (like for an image model). Maybe that would work well for what someone looks like but won't that not be able to capture the motion of what the lora is trained on like training it on video would? Or is it possible for both (image and video training for it)? And would training work locally with 24 GB VRAM?

cool1

I installed all the apps in your video for trying out previous softwares you provided, Visomaster being the last one, the Wan 2.1 app interface loads but it wont render anything the timer runs, I ran it for over an hour last time but nothing was produced, it says error when I click on it.

Paul Gardiner

Need a LORA :) Hope, you'll do it )

VDR

hi this gradio doesnt use ComfyUI but from your message i see comfyui doesnt support rtx8000

Furkan Gözükara

probably model related errors i assume. because it uses exact same mechanism . also very fresh install could fix it because library got some updates and bug fixes

Furkan Gözükara

When I'm running batch mode image 2 to video with 24 GB preset, 14B image to video 480p, torch.float16, 50 inf steps, 81 frames, 2 of approx 13 output videos (I did start the batch run again early on so some might not be from that batch) were completely black videos (about 15%). This is despite the source images and their .txt files seeming to be all very similar to each other (both of the vids that have all black have valid .txt files with caption and valid source image). The cmd window doesn't show any error for any of the black ones. Though the gradio window shows "Error" on the batch status log window (I don't know if that was because of it trying to connect or if it's some other error). Maybe it could just be a low random probability that it happens with this model.

cool1

how much RAM you have? it needs a lot for 14B models. increase your virtual RAM and try again but you need a lot of RAM. also load as FP8

Furkan Gözükara

yes hopefully i will add. i plan to make training tutorial too

Furkan Gözükara

Thank you for this and the Youtube tutorial video. Will you add Lora Support later?

Sugar Coat VFX Design

when I'm generating an i2v 14b my task managers shows that my ram is being used and not my vram. then it says connection errored out and the cmd window closes. Suggestions?

Sirens Talent Agency

comfyui cannot find

shen oracle

Checkpoint files will always be loaded safely. Total VRAM 24564 MB, total RAM 98066 MB pytorch version: 2.6.0+cu124 Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4090 : cudaMallocAsync WARNING: Failed to find CUDA. Using pytorch attention ComfyUI version: 0.3.18 [Prompt Server] web root: E:\meger\ComfyUI\web [ComfyUI-Easy-Use] server: v1.2.7 Loaded

shen oracle

I have two cards in my PC. one is rtx8000,the other one is rtx4090

shen oracle

you are welcome

Furkan Gözükara

Oh i see thank you

Nabil Boulezaz

ok please list me which requirements you installed. python version cuda cudnn c++ tools?

Furkan Gözükara

Sorry, didn't pick up on the question, it's windows, I thought you meant did I click on the Ubuntu file.

Paul Gardiner

if working atm you dont need to update :) you can just run Windows_Update.bat file. but i keep updating as something new happens . but time to time fresh install can be good because depended libraries are getting updated as well - you can always move models

Furkan Gözükara

How many times did u update this i dont get it i just download it like 3 days ago

Nabil Boulezaz

hi support arrived. can you make a fresh install and let me know? you can copy paste models

Furkan Gözükara

hi support arrived. can you make a fresh install and let me know? you can copy paste models

Furkan Gözükara

well on h100 absolutely no reason to use fp8 :D

Furkan Gözükara

you didnt answer my question. is this on windows? ubuntu? where?

Furkan Gözükara

WARNING: Failed to find CUDA. * Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. [CMD] Loading model: 1.3B with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 12000000000 Loading models from: models/Wan-AI/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'model_type': 't2v', 'patch_size': (1, 2, 2), 'text_len': 512, 'in_dim': 16, 'dim': 1536, 'ffn_dim': 8960, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 12, 'num_layers': 30, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06}

Paul Gardiner

you are using ubuntu system?

Furkan Gözükara

HI I've installed it twice, first time interface wouldnt open, It will now load the interface but not render anything, I've completed runpod_install, Windows install and windows download models, download ubuntu, Thanks

Paul Gardiner

thanks it is a good info

Furkan Gözükara

did you follow this tutorial _? please tell me which requirements you installed : https://youtu.be/DrhUHnYfwC0

Furkan Gözükara

Hi, I've the same issue : Geforce rtx 360ti

Paul Gardiner

Make a new Install CUDA. This resolve my Problem

puk

fp8 causes Bluescreens. I ended up renting some H100 machine, works good, however using fp8 on h100 seems to cause color loss, green layering and weird artifacts

weirdgoat

yes each model have different strong aspects

Furkan Gözükara

yes you can set environment and disable it true. i really dont bother with it

Furkan Gözükara

1.3b is only for text to video and video to video sadly. they didnt make it for image to video :( . to use 14b models you need to upgrade ram. before upgrading try to load as fp8 and increase your virtual ram. it may work

Furkan Gözükara

What is your GPU?

Furkan Gözükara

For a simple scene (without complex human motion) it seems easier and quicker to use Cosmos ai video as that will generate 720p video of about 121 frames in about 23 mins on 3090, a lot faster (that I used with image to video). Though maybe it won't be as accurate for some things. Though the 1.3B parameter low res text to video model of Wan 2.1 was a lot faster at maybe 7 or 8 mins or maybe more depending on nr of frames. Though I didn't get great quality output from most of the tests of that (eg. most when I asked it for line drawing style animation). Though it was better when asked for a painting or more real style.

cool1

So it's sending telemetry to hugging face and/or gradio (or telemetry in visual studio)? Can't those be disabled or have they been? Is that why it sometimes gives connection errors if the router is turned off on some gradio apps part way through processing - because it's trying to send telemetry somewhere? What info does it send? There's an analytics.py in the gradio folder(s) of things like Wan 2.1 video generator. Can't stuff like that be disabled in each app? in .bat files that create a virtual environment and then call the main app, can we just add a line about settings analytics to disabled, like edit Start_App.py of wan 2.1 to: @echo off cd Wan2.1 call .\venv\Scripts\activate.bat || exit /b set GRADIO_ANALYTICS_ENABLED=False // <- this new bit? etc....

cool1

WARNING: Failed to find CUDA.

shen oracle

I can't get I2V to work with 1.3b, it always resorts to t2v. Am i missing something? Or ist it t2v/v2v only? 14b i2v 480p makes windows go "end my suffering" and ends in a mem-caused bluescreen, or crashed the App without an error or comment. Running on RTX 4080 with 32G sys mem

weirdgoat

As I said who claims doesn't know here kijai answer https://www.reddit.com/r/StableDiffusion/s/RFe033wqzH

Furkan Gözükara

As I said who claims doesn't know here kijai answer https://www.reddit.com/r/StableDiffusion/s/RFe033wqzH

Furkan Gözükara

here why this guy doesnt know what he talks : https://x.com/sin_ceriously/status/1895403597988515843

Furkan Gözükara

we are using https://github.com/modelscope/DiffSynth-Studio

Furkan Gözükara

the guy doesnt know what he talks :) by the way we are using https://github.com/modelscope/DiffSynth-Studio

Furkan Gözükara

Here the post with the backdoor info: https://www.patreon.com/posts/123289821

puk

I heard about a backdoor found in the WAN AI repo. Is this a problem for me, as I‘ve already used your installer?

macmotu

yes hugging face cache folder : https://www.patreon.com/posts/108419878

Furkan Gözükara

i asked this and i am waiting confirmation : https://github.com/modelscope/DiffSynth-Studio/issues/376

Furkan Gözükara

I tried redownload only the i2v 480 model but the download crash because I was getting out of hdd space. So I decided to delete my entire wan_gen file to recover all my previous hdd space, but even after that I still have lost almost 30gb to 40gb of hdd space. Do you have an idea where I could find on my C drive those leftover files ? Thanks

ElecMat

Is it possible to use it with dual GPU on the same PC? I have 4080super, and I'm also considering grabbing a used 3090. Would that even work or would I be still limited to 4080?

Laurynas Savickas

yes makes total sense but sadly pipeline doesn't support it. you can undervolt instead

Furkan Gözükara

yes if you uncheck tiled it needs a lot of VRAM

Furkan Gözükara

yes it takes around that much true. so use 480p. i just published video that shows rtx 5090 speed vs rtx 3090 ti speed : https://youtu.be/hnAhveNy-8s

Furkan Gözükara

thank you so much. i have been non stop working for 2 days now :D

Furkan Gözükara

3.5 hours for 81 frame 16fps 720p video with 3090?

Chris Fis

I think I know what's wrong, managed to generate good quality video now. Tiled VAE decode option unchecked will cause terrible quality if it crashes: [CMD] Generation complete. Overall Duration: 2217.82 seconds. Last used seed: 480351759 ERROR:asyncio:Exception in callback _ProactorBasePipeTransport._call_connection_lost(None) handle: Traceback (most recent call last): File "C:\Python310\lib\asyncio\events.py", line 80, in _run self._context.run(self._callback, *self._args) File "C:\Python310\lib\asyncio\proactor_events.py", line 165, in _call_connection_lost self._sock.shutdown(socket.SHUT_RDWR) ConnectionResetError: [WinError 10054] An existing connection was forcibly closed by the remote host

Laurynas Savickas

thank you for your work, you must put a lot of time and energy into it:)

Viktor Nagy

My system automatically sets the fan speed to 100% when the temperature reaches 82°C or higher. However, even at full fan speed, running intensive tasks for an extended period (e.g., rendering a video that takes 5 minutes) can still push the temperature up to 92-94°C. However, if I break the process into smaller steps, such as rendering 5% of the video and then pausing for 3 seconds to cool down before continuing, the temperature remains around 88°C or lower. This allows me to render multiple videos without worrying about damaging the GPU.

hacbachvotinh

I have RTX 4080 Super with 16GB VRAM and 32GB system RAM. I can't use 14B model. It will take 14 hours to generate 5 second video on 36 steps at 720p. I am stuck with 1.3B model, and results are not quite on par with Hunyuan. With Hunyuan I can do 960x544 40 steps 20fps 5 second videos in a little over 30min and they look OK, something you can work with.

Laurynas Savickas

yep

Furkan Gözükara

i really got good quality results. but it may depend on prompt. did you try 14b model? it is way more powerful. perhaps try and see how it works. i made a tutorial video and shown some examples where. editing video to publish

Furkan Gözükara

i think this is faster and higher quality than them :D but i plan to cover swarmui as well so we can compare there

Furkan Gözükara

You could also adjust the GPU fan speed settings in the Bios.

cool1

I'm wondering what quality people are getting on 1.3B model? I set steps to 100 and quality to 10, yet every video looks terrible. Looks a lot worse than Hunyuan, not even comparable. Everything is over-sharpened and grainy. Resolution looks lover than 480p as well. In other words - videos are unusable. Interpolation or upscaling would not work here. It's just a mess, even on very simple prompts. Motion, however, is slightly more coherent than Hunyuan, but that does not compensate for videos looking unusable.

Laurynas Savickas

Would be awesome to have Kijai's models for this instead or even better Quantized variants :p

BecauseReasons

select your cmd and press CTRL+S it will pause. then select back and hit CTRL+Q it will resume

Furkan Gözükara

Can you set up a custom mode that allows pausing intermittently during video processing? Each time I run the process, the GPU overheats, so I want to introduce breaks during processing. The processing time may increase, but this would help reduce GPU temperature.

hacbachvotinh

hi you didnt download models :D please donwload models

Furkan Gözükara

I just made update to V8. can you update and try again? it should fix. let me know pls

Furkan Gözükara

the other post is public for people to see. this is only because of Patreon. they dont allow us to make good post with proper setup like zip file only downloadable to paid members. I complain to them all to time but they keep ignoring me

Furkan Gözükara

hi did you follow this requirements tutorial? tell me your python cuda versions installed : https://youtu.be/DrhUHnYfwC0

Furkan Gözükara

CMD showing that :D

Furkan Gözükara

I think one thing missing is a progress bar for the generation. Not knowing if it has done 1% or 90% is quite crucial :)

Kallamamran

I installed it at the root of my directory. Everything went well, but it won't start: `Traceback (most recent call last): File "Q:\Wan21_v7\Wan2.1\App.py", line 15, in import wan File "Q:\Wan21_v7\Wan2.1\wan\__init__.py", line 1, in from . import configs, distributed, modules File "Q:\Wan21_v7\Wan2.1\wan\modules\__init__.py", line 2, in from .model import WanModel File "Q:\Wan21_v7\Wan2.1\wan\modules\model.py", line 8, in from diffusers.models.modeling_utils import ModelMixin File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\diffusers\models\modeling_utils.py", line 35, in from ..quantizers import DiffusersAutoQuantizer, DiffusersQuantizer File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\diffusers\quantizers\__init__.py", line 15, in from .auto import DiffusersAutoQuantizer File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\diffusers\quantizers\auto.py", line 22, in from .bitsandbytes import BnB4BitDiffusersQuantizer, BnB8BitDiffusersQuantizer File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\diffusers\quantizers\bitsandbytes\__init__.py", line 2, in from .utils import dequantize_and_replace, dequantize_bnb_weight, replace_with_bnb_linear File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\diffusers\quantizers\bitsandbytes\utils.py", line 35, in import accelerate File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\accelerate\__init__.py", line 16, in from .accelerator import Accelerator File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\accelerate\accelerator.py", line 36, in from accelerate.utils.imports import is_torchao_available File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\accelerate\utils\__init__.py", line 14, in from .ao import convert_model_to_fp8_ao, filter_first_and_last_linear_layers, has_ao_layers File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\accelerate\utils\ao.py", line 28, in from torchao.float8.float8_linear import Float8LinearConfig File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\torchao\__init__.py", line 50, in from torchao.quantization import ( File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\torchao\quantization\__init__.py", line 7, in from torchao.kernel import ( File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\torchao\kernel\__init__.py", line 1, in from torchao.kernel.intmm import int_scaled_matmul, safe_int_mm File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\torchao\kernel\intmm.py", line 10, in from torchao.kernel import intmm_triton File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\torchao\kernel\intmm_triton.py", line 4, in import triton File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\triton\__init__.py", line 8, in msvc_winsdk_inc_dirs, _ = find_msvc_winsdk() File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\triton\windows_utils.py", line 230, in find_msvc_winsdk winsdk_inc_dirs, winsdk_lib_dirs = find_winsdk() File "Q:\Wan21_v7\Wan2.1\venv\lib\site-packages\triton\windows_utils.py", line 207, in find_winsdk winsdk_base_path, version = find_winsdk_registry() TypeError: cannot unpack non-iterable NoneType object Press any key to continue . . .`

Wktra

Why do you make 2 posts of the same thing? You should consider mentioning in the title what the difference is between the two, otherwise it is confusing to the user as to why they should use one versison over the other.

juggzz143

INFO: Could not find files for the given pattern(s). * Running on local URL: http://127.0.0.1:$$$$ To create a public link, set `share=True` in `launch()`. WAN 2.1 14B Image-to-Video [CMD] Loading model: 14B_image with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 12000000000 Loading models from: ['models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00001-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00002-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00003-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00004-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00005-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00006-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00007-of-00007.safetensors'] Press any key to continue . . . ...also the word "error" in the gui written in the "generated video" window The process just stop without any other message in the console... PS: I put $ to hide the rest of my address

ElecMat

I sent a pm on patreon with the video

lemas espandon

if you can send me not working video i can try to debug

Furkan Gözükara

i can't figure it out, i don't even get an output from the auto-crop and if i make the video manually 16fps, 5s, 832x480, mpeg-4 it still does not work it does work if i use an output from the img2video

lemas espandon

did you download models? verify them. also how much RAM you have? did you test 1.3b model works?

Furkan Gözükara

Installs fine, when I try to generate with a 4090 using the 720p model it outputs this and just crashes: [CMD] Loading model: 14B_image_720p with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 0 Loading models from: ['models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00001-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00002-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00003-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00004-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00005-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00006-of-00007.safetensors', 'models/Wan-AI/Wan2.1-I2V-14B-720P/diffusion_pytorch_model-00007-of-00007.safetensors'] Press any key to continue . . .

Jeff Eberlin

here example codec General Complete name : C:\Users\Furkan\Downloads\00010.mp4 Format : MPEG-4 Format profile : Base Media Codec ID : isom (isom/iso2/avc1/mp41) File size : 662 KiB Duration : 5 s 400 ms Overall bit rate : 1 004 kb/s Frame rate : 15.000 FPS Writing application : Lavf61.7.100 Video ID : 1 Format : AVC Format/Info : Advanced Video Codec Format profile : High@L3 Format settings : CABAC / 4 Ref Frames Format settings, CABAC : Yes Format settings, Reference fra : 4 frames Codec ID : avc1 Codec ID/Info : Advanced Video Coding Duration : 5 s 400 ms Bit rate : 1 001 kb/s Width : 480 pixels Height : 832 pixels Display aspect ratio : 0.577 Frame rate mode : Constant Frame rate : 15.000 FPS Color space : YUV Chroma subsampling : 4:2:0 Bit depth : 8 bits Scan type : Progressive Bits/(Pixel*Frame) : 0.167 Stream size : 660 KiB (100%) Writing library : x264 core 164 r3192 c24e06c Encoding settings : cabac=1 / ref=3 / deblock=1:0:0 / analyse=0x3:0x113 / me=hex / subme=7 / psy=1 / psy_rd=1.00:0.00 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=1 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-2 / threads=26 / lookahead_threads=4 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=250 / keyint_min=15 / scenecut=40 / intra_refresh=0 / rc_lookahead=40 / rc=crf / mbtree=1 / crf=25.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / ip_ratio=1.40 / aq=1:1.00 Codec configuration box : avcC

Furkan Gözükara

the video i'm using is nothing special just a random one i was trying to use as a test to see how it works, what codec is working for you in your examples?

lemas espandon

awesome. 64 GB ram i recommend min.

Furkan Gözükara

awesome

Furkan Gözükara

what do you see on CMD? i also dded 480p model to the app

Furkan Gözükara

ye prompt enhance uses a lot of VRAM :D

Furkan Gözükara

you sure you selected 1.3b model? it uses max 6.5 GB vram and should be done in less than like 10 minutes

Furkan Gözükara

nice. i am also recording a tutorial video showing timings etc :D

Furkan Gözükara

some people getting but i dont know how yet. my example videos working. i presume related to video codec. can you try to reencode and try again? if it is a safe video can you email me? monstermmorpg@gmail.com maybe i can figure out and solve

Furkan Gözükara

Thank you so much.

Furkan Gözükara

Thanks a lot for huge info. Hard to know every cases to cover :D

Furkan Gözükara

I made a new CUDA install. That fixed my Problem.

puk

I'm very excited about this. Thanks for the effort. First off you may want to warn people that loading all the models you end up just shy of 170GBs. Does the prompt enhancer need to be such a behemoth? 11.8GB of 12GB VRAM, 16.9 of 20GB shared VRAM. And when it's done it doesn't release it. Starting video generation does release the memory though. And, most importantly, 12GB RTX3060. Tried 14B t2v at default settings... my computer took some notes and restarted. So I tried image to video but at 320/368pixels. Same thing. Computer blue screen informing me it's restarting but taking notes first. I'm guessing something is wrong. It shouldn't just restart my machine if it runs out of RAM. Thanks again! -1.3B worked fine. Pretty ugly though! :)

DanO..

Hi, what type of ram do you have? I have DDR5 64, chose 16GB for 4090 and it took 80% of RAM but almost 95-100% GPU working stable it will take about 2h I guess for 14b model

Michał Kowalski

Fantastic addition to your Patreon. Thank you!

EnjoyerOfAll

i keep getting this error: "RuntimeError: The size of tensor a (6) must match the size of tensor b (3) at non-singleton dimension 2" while trying video2video, the input video is the same resolution as the output, 832x480

lemas espandon

First of all, thank you for another great project. Installing that app like the rest 13 apps to that moment, finished without one error, no cuda, python problems and visual. I don't have to switch env path, just did tutorial step by step word by word as you sad :) and today I am sure that second gpu 5090 will be very helpfull in future;). Actually I have 4090, 64RAM DDR5,i9, Downloaded all models, After ran the app I checked 16GB, chose image to video 14b, ratio 16:9 uploaded one input image 842 x 652 Pixel, image to video, insert prompt: there is earthquake and all residences are falling down into precipice and didn't change any other defaults. It is running without issues, Ram is full in 80% but it is stable, GPU 95-100% (about, stable too with funs on 80%),i9 doesn;t feel it at all, actually I wanted to stop it because of about 3 hours of waiting but I see now that it getting the process faster and it shows now about 1,30h/160.15s/it 17/50 inference steps. I will wait for results and then test thinner models. Additionally guys I recommend special cooling for your fastest nvme like kingston fury, after removing labels from both sides and insert it to AXAGON case made whole from radiator with thermal pads and active fan plugged directly to mainboard have 45-50 celsius in high stress, it is matter for long actions with Ai and generating so much heat which I guess helped me to burn first Kingston ;) update :) I received 5s video it took: "Generating video 1/1 with prompt: there is earthquake and all residences are falling down into precipice" quite nice result for the begining width: 1280 : height: 720 100%|███████████████████████████████████████████████████████████████████████████████| 50/50 [2:06:13<00:00, 151.48s/it] VAE decoding: 100%|████████████████████████████████████████████████████████████████████| 30/30 [00:47<00:00, 1.60s/it] Saving video: 100%|███████████████████████████████████████████████████████████████████| 81/81 [00:00<00:00, 195.12it/s] [CMD] Saved video: outputs\00001.mp4 [CMD] Saved prompt: outputs\00001.txt [CMD] Generation complete. Duration: 7691.67 seconds. Last used seed: 3099509642 and tested 1.3 model [CMD] Loading model: 1.3B with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 7000000000 Loading models from: models/Wan-AI/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'model_type': 't2v', 'patch_size': (1, 2, 2), 'text_len': 512, 'in_dim': 16, 'dim': 1536, 'ffn_dim': 8960, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 12, 'num_layers': 30, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06} The following models are loaded: ['wan_video_dit']. Loading models from: models/Wan-AI/Wan2.1-T2V-1.3B/models_t5_umt5-xxl-enc-bf16.pth model_name: wan_video_text_encoder model_class: WanTextEncoder The following models are loaded: ['wan_video_text_encoder']. Loading models from: models/Wan-AI/Wan2.1-T2V-1.3B/Wan2.1_VAE.pth model_name: wan_video_vae model_class: WanVideoVAE The following models are loaded: ['wan_video_vae']. Using wan_video_text_encoder from models/Wan-AI/Wan2.1-T2V-1.3B/models_t5_umt5-xxl-enc-bf16.pth. Using wan_video_dit from models/Wan-AI/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors. Using wan_video_vae from models/Wan-AI/Wan2.1-T2V-1.3B/Wan2.1_VAE.pth. No wan_video_image_encoder models available. num_persistent_val 7000000000 [CMD] Model loaded successfully. [CMD] Generating video 1/1 with prompt: there is earthquake and all residences are falling down into precipice and fire, there is nothing left but smoke width: 832 : height: 480 VAE encoding: 100%|██████████████████████████████████████████████████████████████████████| 9/9 [00:09<00:00, 1.01s/it] 100%|██████████████████████████████████████████████████████████████████████████████████| 50/50 [04:11<00:00, 5.02s/it] VAE decoding: 100%|██████████████████████████████████████████████████████████████████████| 9/9 [00:14<00:00, 1.63s/it] Saving video: 100%|███████████████████████████████████████████████████████████████████| 81/81 [00:00<00:00, 843.53it/s] [CMD] Saved video: outputs\00002.mp4 [CMD] Saved prompt: outputs\00002.txt [CMD] Generation complete. Duration: 293.83 seconds. Last used seed: 4077048855 well it was quite faster based on created movie, results are ok, everything works perfect, only test it on different configs :)

Michał Kowalski

I found the issue, it was the prompt enhance, without it, i used under 7 minutes for 50 steps on 1.3b

Laurynas Savickas

It appears that my gpu cores are not utilized while generating on 1.3b model on rtx4080super. Using 16gb preset, was generating over 35minutes, so I gave up. Something did not work I assume. It should not take this long on 16gb vram

Laurynas Savickas

Generating first video on 1.3b with 16gb vram, I have 4080super. It does allocate and use 16gb vram with 16gb preset, but gpu core remains at 0%, so it look like only memory is utilized. It has been over 20mins and still going.

Laurynas Savickas

I tried to run the app but when i click Genarate the app seems to load the model but then it disconnect "Error connection error out"? Any idea what is the problem ?

ElecMat

ApathyJones - "I had the same issue. I fixed it by un-commenting the REM SET CUDA_VISIBLE_DEVICES=1 (by removing the REM in front) and setting it to 0 instead of 1." can you please explain exactly how you did this im a dumbass but can follow instructions pretty good lol im having the same Failed to find CUDA error on my 16gb vram gpu, Thanks

darcy

I just added 480p image to video model took less than 20 min on rtx 5090 50 steps highest quality

Furkan Gözükara

uploaded v6 use it

Furkan Gözükara

L40 should work. let me update v6 it will ensure it works with virtual ram

Furkan Gözükara

L40 x 1 is OK? Other GPUs are not available?

Ahmet Inceelli

if working great. i installed all these versions with this very weird

Furkan Gözükara

sadly not yet. we are looking for a solution

Furkan Gözükara

Hey, I got an error when attempting to generate (RuntimeError: FlashAttention only supports Ampere GPUs or newer.). My GPU is a 2070, so I know it is Turing and not Ampere. I was just curious if you knew of any workarounds, though my hopes are not high. Thanks!

Brian Rivera

I did follow, if I use it, CUDA will not find Visual Studio at all. Tried it. But 17.14 preview appears to work. I am on win11

Laurynas Savickas

yes that one can prevent download of models

Furkan Gözükara

it is still 14b so no difference :D you can use our config at lower resolution i think should work fairly well

Furkan Gözükara

around 70 second / it. even h200 had like 30 second / it

Furkan Gözükara

out of RAM simply. so get 2x GPU machine or stronger machine :D

Furkan Gözükara

you should follow tutorial. we are using 17.8.17 which supports both cuda 11.8 12.4 and 12.8 : https://download.visualstudio.microsoft.com/download/pr/a55fda9f-f00b-4ca4-8c14-88496497db71/175a2edf7006e28250736e91afd9e20ead32dddd6b3635e96d28ba0463c55000/vs_BuildTools.exe

Furkan Gözükara

Struggle with Visual studio, 17.13 wont let install CUDA, and 17.14 preview apparently is broken too. Have no ways of getting CUDA t o work. EDIT: got 2022 visual studio 1714 preview to work with CUDA installs. DO NOT USE 17.13 VISUAL STUDIO just a heads up for all the fresh people like me. It will get your CUDA installation stuck.

Laurynas Savickas

On the Huggingface of the model it says there's a I2V-14B-480P that support 480p. Maybe it could be a better choice to run this model with my rtx 3060 12Gb ? Do we have the option I2V-14B-480P in the model installer? Thanks

ElecMat

I had the same issue. I fixed it by un-commenting the REM SET CUDA_VISIBLE_DEVICES=1 (by removing the REM in front) and setting it to 0 instead of 1.

ApathyJones

Hello, Thanks for your 14 hours effort for us. 😸 I installed on Massed Compute Text to Video 1.3B is OK But the process suddenly stops on these models below Text to Video 14B and Image to Video 14B Ubuntu@0030-ict-prxmx50125:~/apps/Wan21_v2$ cd Wan2.1 export PYTHONWARNINGS="ignore" source venv/bin/activate export HF_HUB_ENABLE_HF_TRANSFER=1 python3 App.py --share * Running on local URL: http://127.0.0.1:7860 * Running on public URL: https://082ceb5ff71143e235.gradio.live This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces) [CMD] Loading model: 1.3B with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 12000000000 Loading models from: models/Wan-AI/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'model_type': 't2v', 'patch_size': (1, 2, 2), 'text_len': 512, 'in_dim': 16, 'dim': 1536, 'ffn_dim': 8960, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 12, 'num_layers': 30, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06} The following models are loaded: ['wan_video_dit']. Loading models from: models/Wan-AI/Wan2.1-T2V-1.3B/models_t5_umt5-xxl-enc-bf16.pth model_name: wan_video_text_encoder model_class: WanTextEncoder The following models are loaded: ['wan_video_text_encoder']. Loading models from: models/Wan-AI/Wan2.1-T2V-1.3B/Wan2.1_VAE.pth model_name: wan_video_vae model_class: WanVideoVAE The following models are loaded: ['wan_video_vae']. Using wan_video_text_encoder from models/Wan-AI/Wan2.1-T2V-1.3B/models_t5_umt5-xxl-enc-bf16.pth. Using wan_video_dit from models/Wan-AI/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors. Using wan_video_vae from models/Wan-AI/Wan2.1-T2V-1.3B/Wan2.1_VAE.pth. No wan_video_image_encoder models available. num_persistent_val 12000000000 [CMD] Model loaded successfully. [CMD] Generating video 1/1 with prompt: Young girls play volleyball in the gym. width: 832 : height: 480 100%|███████████████████████████████████████████| 50/50 [16:03<00:00, 19.27s/it] VAE decoding: 100%|█████████████████████████████| 18/18 [01:42<00:00, 5.69s/it] Saving video: 100%|██████████████████████████| 161/161 [00:01<00:00, 104.34it/s] [CMD] Saved video: outputs/00002.mp4 [CMD] Saved prompt: outputs/00002.txt [CMD] Generation complete. Duration: 1114.46 seconds. Last used seed: 3178083971 WAN 2.1 14B Text-to-Video [CMD] Loading model: 14B_text with torch dtype: torch.bfloat16 and num_persistent_param_in_dit: 22000000000 Loading models from: ['models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00001-of-00006.safetensors', 'models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00002-of-00006.safetensors', 'models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00003-of-00006.safetensors', 'models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00004-of-00006.safetensors', 'models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00005-of-00006.safetensors', 'models/Wan-AI/Wan2.1-T2V-14B/diffusion_pytorch_model-00006-of-00006.safetensors'] model_name: wan_video_dit model_class: WanModel This model is initialized with extra kwargs: {'model_type': 't2v', 'patch_size': (1, 2, 2), 'text_len': 512, 'in_dim': 16, 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'text_dim': 4096, 'out_dim': 16, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06} Killed

Ahmet Inceelli

Thanks for your reply, and also for the 14-hour shift to get this out asap! 48g seems to be the most likely option for image-2-video. What was your experience on 32gb 5090 for i2v?

Ans Ass

14b models are working at low vram but slow. 1.3b model works as low as 3.5 gb

Furkan Gözükara

I wondered that too. The code is there in that github to check if needed. I thought the difference might be that the conversion wasn't designed to execute any code whereas running the model normally would. I asked deepseek r1 14b to check the converter code and these are some things it said: Loading Mechanism: The script uses torch.load with map_location="cpu", ensuring that any loaded tensors are processed on CPU, avoiding GPU execution which could be riskier. Code Execution Risks: While .pth files can theoretically execute code upon loading, this script specifically targets state_dict conversion, minimizing the risk of arbitrary code execution beyond tensor operations. .. Dependency Risks: Relies on PyTorch, which has a history of being secure for such operations, though vulnerabilities are always possible. ...Conclusion: The script appears designed to safely convert .pth files by focusing solely on tensor data and including verification steps. However, as with any external code, it's advisable to run it in a controlled environment and verify its functionality before use. -- Though each file would only need to be converted once by someone who had the right sandboxed environment. I thought there was an online converter that might be less risky (though might need a high upload bandwidth if they're high file sizes) though one website/perplexity is saying that might not be totally safe either (an article mentions potential hijacking of that online conversion I think).

cool1

Converting them would still run the same risk as the same executable code sections are still loaded during conversion, granted you could do this in an isolated environments but yeah..

Flambo

48gb vram minimum? On 24gb it overflows into RAM for over 10gb making it extremely slow and unusable.

Ans Ass

at lower resolution could be. 1280x720 takes 3 hours on rtx 3090 ti for 50 steps

Furkan Gözükara

Do you think it's possible to run the i2V model with a rtx 3060 12Gb ?

ElecMat

nice

Furkan Gözükara

I disabled my VPN (NordVPN) and it seems to work now ! Still downloading... Enter your choice (1-4): 2 Downloading Wan2.1-I2V-14B-720P... C:\Users\pbour\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\file_download.py:149: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations. To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to see activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development warnings.warn(message) (…)pytorch_model-00001-of-00007.safetensors: 100%|███████████████████████████████▉| 9.85G/9.85G [19:27<00:00, 8.44MB/s] (…)pytorch_model-00002-of-00007.safetensors: 12%|███▊ | 1.15G/9.80G [03:18<15:54, 9.05MB/s] Thanks

ElecMat

yes edit the download models bat file with notepad and remove set HF_HUB_ENABLE_HF_TRANSFER=1 you can use any notepad editor can you also reply here your system info we are trying to get this bug fixed : https://github.com/huggingface/hf_transfer/issues/63#issuecomment-2685182565 if you tell me information i can also reply Location and all network information (WiFi, cable, mobile, ideally provider). The disk that is written on (SSD, HDD, network mounted..)

Furkan Gözükara

I get an error when trying to install models: (…)pytorch_model-00001-of-00007.safetensors: 9%|██▉ | 870M/9.85G [03:15<33:32, 4.46MB/s] Traceback (most recent call last): File "C:\Users\pbour\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\file_download.py", line 498, in http_get hf_transfer.download( Exception: Error while removing corrupted file: The process cannot access the file because it is being used by another process. (os error 32) The above exception was the direct cause of the following exception: Traceback (most recent call last): File "C:\wan_gen\Download_Models.py", line 51, in download_model(sys.argv[1]) File "C:\wan_gen\Download_Models.py", line 19, in download_model snapshot_download( File "C:\Users\pbour\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 118, in _inner_fn return fn(*args, **kwargs) File "C:\Users\pbour\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\_snapshot_download.py", line 306, in snapshot_download _inner_hf_hub_download(file) File "C:\Users\pbour\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\_snapshot_download.py", line 283, in _inner_hf_hub_download return hf_hub_download( File "C:\Users\pbour\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\utils\_validators.py", line 118, in _inner_fn return fn(*args, **kwargs) File "C:\Users\pbour\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\file_download.py", line 1457, in hf_hub_download http_get( File "C:\Users\pbour\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\file_download.py", line 509, in http_get raise RuntimeError( RuntimeError: An error occurred while downloading using `hf_transfer`. Consider disabling HF_HUB_ENABLE_HF_TRANSFER for better error handling. Press any key to continue . . . Thanks

ElecMat

yes it should work. so make a fresh install and send me install logs : monstermmorpg@gmail.com you probably missing requirements. if you upgrade gold member i can connect your pc and install for you

Furkan Gözükara

RTX 4090

puk

what is your GPU model?

Furkan Gözükara

THX, made a fresh install but i get the same error: WARNING: Failed to find CUDA INFORMATION: No files could be found with the specified patterns can be found. (translated from german 2 english)

puk

ye i am following that one

Furkan Gözükara

v3 published

Furkan Gözükara

wait v3 almost ready . it will have more amazing features

Furkan Gözükara

THX where i can download the v2. v1?

puk

hi please download v2. v1 zip start file has set cuda visible devices that is why it fails to find cuda. also v3 coming hopefully soon with more features

Furkan Gözükara

THX for your work, i get this error: WARNING: Failed to find CUDA. But the app starts. img2Video needs over 1 hour

puk

It seems to have a solution there https://github.com/Wan-Video/Wan2.1/issues/46

alex

Thanks! Yeah, because when I use Hunyuan in ComfyUI, for example, I select SDPA instead of Flash, since Flash Attention doesn't work on older cards.

alex

I just asked this to the authors for older gpus

Furkan Gözükara

is this O your physical drive? can you try on C drive? this looks like error of huggingface_hub library can you edit the bat file and remove set HF_HUB_ENABLE_HF_TRANSFER=1 and try again and let me know?

Furkan Gözükara

well i checked with kaspersky no issues. by the way this is a global company with billion dollars i dont think they will add anything into them :D

Furkan Gözükara

Thanks. Though we don't know how safe they are unless someone's checked them. Converting to .safetensors for the file(s) that are that format (like vae) should be safest. Maybe I or someone can convert the .pth one and then edit the .py file to load the right one if it's a one line edit of the filename - or maybe it would be harder than that.

cool1

sadly i dont know how can it be converted atm. yes this utilizes flash attention i installed pre compiled wheel. i will look for a solution

Furkan Gözükara

you need to follow requirements video first : https://youtu.be/DrhUHnYfwC0 you probably missing python. also you can start a cmd and type bat file name and it wont auto close

Furkan Gözükara

yes 100+ second normal. it is 30 second even on h200 :D

Furkan Gözükara

it works on my 96gb ram and 24 gb gpu but really slow :(

Furkan Gözükara

yes make your video sizes and image sizes matching the resolutions. that is why. i will try to add auto crop today

Furkan Gözükara

well it downloads from whatever they published :) i am pretty sure safe

Furkan Gözükara

Thanks a lot of doing this video model. Though the model files it downloads are .pth files instead of .safetensors (other video models like cosmos and skyreels use the safe .safetensors file format). perplexity.ai says ".pth files can contain and execute arbitrary Python code, making them a potential vector for malicious attacks". Has anyone done a check on the .pth model files to make sure they're safe (no pickle stuff?)? edit: can the model files be converted to .safetensors with something like this: https://github.com/MackinationsAi/convert-2-safetensors and if they can will the app files then need to be edited to load the new format? It should be a lot less possible risk if it can work with them converted to .safetensors I think. Also some files it downloads are .pth but the bigger model files it downloads seems to be .safetensors. The vae is .pth.

cool1

i got this error when use video2video: File "e:\wan21_v2\wan2.1\diffsynth-studio\diffsynth\pipelines\wan_video.py", line 224, in __call__ latents = self.scheduler.add_noise(latents, noise, timestep=self.scheduler.timesteps[0]) File "e:\wan21_v2\wan2.1\diffsynth-studio\diffsynth\schedulers\flow_match.py", line 65, in add_noise sample = (1 - sigma) * original_samples + sigma * noise RuntimeError: The size of tensor a (113) must match the size of tensor b (21) at non-singleton dimension 2

hacbachvotinh

i think we must have 128gb System Ram to use 14b model.

hacbachvotinh

How much RAM does the image to video model use? When I press Generate, it maxes out my 64GB RAM and takes a very long time to start. And once it starts, I'm getting 100+sec / it... (Using the 24GB VRAM preset with a 4090).

EvilGiggles

maybe use another attention mode like sdpa ?

alex

it doesn't work, all it does it auto close the window batch scripts

Arcadius

When I click on Generate I get an error with FlashAttention "RuntimeError: FlashAttention only supports Ampere GPUs or newer" My graphics card is old (NVIDIA GeForce RTX 2060 with 6GB of VRAM). Is there a solution or not?

alex

Enter your choice (1-4): 2 Downloading Wan2.1-I2V-14B-720P... Traceback (most recent call last): File "O:\Wan2.1\Download_Models.py", line 51, in download_model(sys.argv[1]) File "O:\Wan2.1\Download_Models.py", line 19, in download_model snapshot_download( File "O:\Python\lib\site-packages\huggingface_hub\utils\_validators.py", line 120, in _inner_fn return fn(*args, **kwargs) File "O:\Python\lib\site-packages\huggingface_hub\_snapshot_download.py", line 233, in snapshot_download _inner_hf_hub_download(file) File "O:\Python\lib\site-packages\huggingface_hub\_snapshot_download.py", line 212, in _inner_hf_hub_download return hf_hub_download( File "O:\Python\lib\site-packages\huggingface_hub\utils\_validators.py", line 120, in _inner_fn return fn(*args, **kwargs) File "O:\Python\lib\site-packages\huggingface_hub\file_download.py", line 1280, in hf_hub_download return _to_local_dir(blob_path, local_dir, relative_filename, use_symlinks=local_dir_use_symlinks) File "O:\Python\lib\site-packages\huggingface_hub\file_download.py", line 1568, in _to_local_dir _create_symlink(real_blob_path, local_dir_filepath, new_blob=False) File "O:\Python\lib\site-packages\huggingface_hub\file_download.py", line 873, in _create_symlink _support_symlinks = are_symlinks_supported(os.path.dirname(os.path.commonpath([abs_src, abs_dst]))) File "O:\Python\lib\ntpath.py", line 807, in commonpath raise ValueError("Paths don't have the same drive") ValueError: Paths don't have the same drive Press any key to continue . . .

FredrickFlower

Fixed error use v2 zip start bat file pls

Furkan Gözükara

Does not work. Have tried to install twice. CUDA cards unavailable error; even though CUDA IS available.

BecauseReasons

yes works with python 3.10. if you use 3.11 or 3.12 you need to change some of the pre installed wheels

Furkan Gözükara

this published today there isnt any custom model as far as i know :D

Furkan Gözükara

never seen it before. please give me full logs.

Furkan Gözükara

I'm getting a paths don't have the same drive error when trying to download the models?

FredrickFlower

Thx for all the work. I’ll try it soon. Can you use any custom models or only WAN 2.1.1?

Ec Jep

BecauseReasons