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