Shypd.aiThe largest open index of AI toolsCatVTON is an image generation tool that provides a simple and efficient virtual try-on diffusion model. It features a lightweight network, parameter-efficient training, and simplified inference, requiring less than 8GB VRAM for 1024x768 resolution.
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CatVTON is an innovative virtual try-on diffusion model designed for efficiency and accessibility. It boasts a lightweight network with 899.06M total parameters and parameter-efficient training, utilizing only 49.57M trainable parameters. This optimization allows for simplified inference, requiring less than 8GB VRAM for high-resolution outputs of 1024x768. CatVTON supports deployment via Gradio App and ComfyUI, with automatic checkpoint downloads from HuggingFace. It also provides evaluation code for calculating metrics on datasets like VITON-HD and DressCode, making it a comprehensive solution for virtual try-on research and application development. The project is open-source and was accepted to ICLR 2025.
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