Post
2661
OmniGen 1-Click Automatic Installers for Windows, RunPod and Massed Compute
OmniGen is a unified image generation model that can generate a wide range of images from multi-modal prompts. It is designed to be simple, flexible, and easy to use
Installers are here : https://www.patreon.com/posts/omnigen-1-click-115233922
Look attached images to understand what capabilities it has. It is simply amazing so many features.
What is OmniGen : https://github.com/VectorSpaceLab/OmniGen
Windows Requirements
Python 3.10.11, CUDA 12.4, Git, FFMPEG, cuDNN 9.x, C++ Tools
A tutorial that shows how to install all above : https://youtu.be/DrhUHnYfwC0
How To Install & Use
After installing requirements by following above tutorial, double-click Windows_Install.bat and install
After that use Windows_Start.bat to start the app
When offload_model is enabled (checked) on the Gradio interface, it uses 5.4 GB VRAM, 2x slower
When offload_model is not used (not checked) it uses 12.2 GB VRAM
When separate_cfg_infer is not checked, and offload_model is not checked, it uses 18.7 GB VRAM
To install on RunPod and Massed Compute please follow Massed_Compute_Instructions_READ.txt and Runpod_Instructions_READ.txt
Look at the examples on the Gradio interface closely to understand how to use
OmniGen is a unified image generation model that can generate a wide range of images from multi-modal prompts. It is designed to be simple, flexible, and easy to use
Installers are here : https://www.patreon.com/posts/omnigen-1-click-115233922
Look attached images to understand what capabilities it has. It is simply amazing so many features.
What is OmniGen : https://github.com/VectorSpaceLab/OmniGen
Windows Requirements
Python 3.10.11, CUDA 12.4, Git, FFMPEG, cuDNN 9.x, C++ Tools
A tutorial that shows how to install all above : https://youtu.be/DrhUHnYfwC0
How To Install & Use
After installing requirements by following above tutorial, double-click Windows_Install.bat and install
After that use Windows_Start.bat to start the app
When offload_model is enabled (checked) on the Gradio interface, it uses 5.4 GB VRAM, 2x slower
When offload_model is not used (not checked) it uses 12.2 GB VRAM
When separate_cfg_infer is not checked, and offload_model is not checked, it uses 18.7 GB VRAM
To install on RunPod and Massed Compute please follow Massed_Compute_Instructions_READ.txt and Runpod_Instructions_READ.txt
Look at the examples on the Gradio interface closely to understand how to use