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Latest installer zip file: idm_vton_v21.zip
GitHub official repo : https://github.com/yisol/IDM-VTON
Check above screenshots to understand how it works
We have added so many new features again check above screenshots you will see
After image has been uploaded wait few seconds for it to be processed then hit Try-on or you will get an error
If you don't wait enough you will get this error - reupload image and wait and try again
mask_gray = (1 - transforms.ToTensor()(mask)) * tensor_transfrom(human_img)
RuntimeError: The size of tensor a (768) must match the size of tensor b (540) at non-singleton dimension 2
Now our IDM VTON supports RTX 5000 series GPUs
Both on Windows and on RunPod and Massed Compute
I compiled the libraries for latest official Torch 2.7 and CUDA 12.8 so works fastest way with all GPUs including older ones like 4000, 3000 series
Also we moved to official pipeline to prevent color changes that happens in some cases
Option 2 will start with 4-bit quantization huge VRAM optimization but I noticed it impacts color of output slightly
Option 1 - FP16 yields the very best results and really fast
Please make a fresh install with V21
Python 3.10, FFmpeg, CUDA 12.4, cuDNN 8.9 and 9.4+, C++ tools and Git
If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial
First watch above requirements tutorial and follow every step
Extract zip archive into a drive like c:/vton
Longer directory path causes issues and don't use space characters in folder names
Double click and install with Windows_Install.bat and that is it
Then run with Windows_Start_VTON_app.bat to start IDM VTON SECourses APP
And follow above and below attached screenshot
Please register via this link : https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute
Use our coupon SECourses
Our coupon works on following GPUS
L40 : 625 GB Disk Space, 128 GB RAM, 48 GB GPU: 49 cents per hour
RTX A6000 : 256 GB Disk Space, 48 GB RAM, 48 GB GPU: 31 cents per hour
ALT RTX A6000 : 256 GB Disk Space, 32 GB RAM, 48 GB GPU: 30 cents per hour
Then select our image SECourses from Creator dropdown
Then follow Massed_Compute_Instructions_READ.txt
Same as my any other Massed Compute installer script
Example tutorial for learn how to install and use Massed Compute
(Starts at 12:58) : https://youtu.be/KW-MHmoNcqo?si=G1WbG-Qw4ujWvOtG&t=778
Please register via this link : https://runpod.io?ref=1aka98lq
Then follow Runpod_Instructions_READ.txt
Same as my any other RunPod installer script
Use the template written in Runpod_Instructions_READ.txt file
Example tutorial for learn how to install and use RunPod
(starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323
Gradio Live Share now working so we don't need Ngrok Tunneling anymore
Register Kaggle for free and verify your phone number : https://www.kaggle.com/
Upload the Kaggle notebook file from downloaded attachments
Follow the instructions on the Kaggle notebook
How to Use Kaggle Notebooks General Tutorial
(Starts at 27:34) https://youtu.be/KW-MHmoNcqo?si=vkKTvWHbZVrn4x7h&t=1654
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