Apply for community grant: Academic project (gpu)

#1
by zhengchong - opened

CatVTON is a simple and efficient open-source virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).
Our code and weights have been published on GitHub and HuggingFace for reference in upcoming academic research.
We hope to deploy our project through ZeroGPU for more people in the open-source community to try out and provide feedback.

Hi @zhengchong , we've assigned ZeroGPU to this Space. Please check the compatibility and usage sections of this page so your Space can run on ZeroGPU.

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