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Latest zip file : EasyAnimate_v4.zip
Installers updated to support RTX 5000 series and install bug fixed
Delete venv folder and run new installer
Python 3.10, FFmpeg, CUDA 12.8, cuDNN 9.7, C++ Tools and Git
If it doesn't work make sure to below NEW tutorial and install everything exactly as shown in this below tutorial
All models updated to Version 5.1
Installers and model downloader updated
I recommend make a fresh install
DeepSpeed and Triton will be installed on Windows with Python 3.10 venv since now we have pre-compiled wheels
Windows requirements is now Python 3.10
It works better than before
EasyAnimate is Runway Gen-3 for FREE
Official repo : https://github.com/aigc-apps/EasyAnimate
It supports Text-to-Video - tested working
Image-to-Video including beginning and ending frame - beginning frame tested working
And video controls - I haven't tested this
It supports Video-to-Video as well - tested working
It supports up to 1100 frames by doing a looped generation - takes long
I tested up to 10 seconds and works great
It supports 512, 768 and 960 HD resolutions
512 requires : 24 GB GPU
768 requires : 48 GB GPU
960 requires : 80 GB GPU
I recommend to have 96 GB RAM but don't worry if you don't have such RAM, enable virtual RAM on your fastest disk and set it 100 GB to not have any issues before using
I have tested this APP on 48 GB and 64 GB RAM machines and works great with having virtual RAM
Virtual RAM only used during initial model load
Extract zip file into like G:\EasyAnimate_v1
Double click and run Windows_Install.bat
Once you see EasyAnimate folder you can also start simulatnously downloading necessary models
I have hugely optimized model downloader and it gets 1000 MB second on Massed Compute so it is ultra fast
To download models double click and start Download_Models.bat and select the models you want
You can download Image to Video model, Text to Video model or Video Control model (I haven't used yet)
After Gradio started, first you need to select Pretrained Model Path
When you first time select it if you get error, close CMD and start again and second time should work
If you get error during first generation, click generate again and restart again and try again , it should get fixed
For Massed Compute and RunPod same rules applies (trying again to generate)
Please register for RunPod at: https://get.runpod.io/955rkuppqv4h
Select a GPU with a minimum of 24 GB VRAM, such as the RTX 3090.
Get a machine with minimum 48 GB RAM, getting multiple GPU machine better you will get more RAM
Choose a RunPod template:
RunPod Pytorch 2.2.0
runpod/pytorch:2.2.0-py3.10-cuda12.1.1-devel-ubuntu22.04
Follow Runpod_Instructions_READ.txt
If you get 2x A6000 GPU it would work best with 96 GB RAM but not mandatory
Watch this instructional video to learn how to use Massed Compute:
Register for Massed Compute using the following link:
Important Notes:
Ensure each copy-paste action is accurate, as Massed Compute may not always copy-paste correctly.
Select an A6000 GPU or A6000 GPU ALT (if other one is not available) and use our code SECourses for huge discount.
Follow Massed_Compute_Instructions_READ.txt
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