StableVITON
Visit ToolStableVITON is an image generation tool that uses a latent diffusion model for virtual try-on. It learns semantic correspondence to generate realistic images of clothing on a person.
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StableVITON is an image generation tool that uses a latent diffusion model for virtual try-on. It learns semantic correspondence to generate realistic images of clothing on a person.
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About
StableVITON is an open-source AI tool designed for virtual try-on applications, leveraging a latent diffusion model to learn semantic correspondence. This capability allows it to generate highly realistic images of clothing on a person, making it valuable for fashion design, e-commerce, and visual content creation. The tool provides options for both paired and unpaired inference, as well as a repaint option to preserve unmasked regions. It requires specific dataset structures for training and inference, including image, densepose, agnostic, and cloth data. StableVITON also supports fine-tuning with ATV loss for enhanced person texture, making it a robust solution for advanced virtual try-on needs.
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Open Source
Free
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