Announcement: Open-sourcing our TryOnDiffusion Implementation on GitHub
We have exciting news to share! Our TryOnDiffusion implementation is now open-sourced on GitHub.
Written by Aya Bochman | March 4, 2024
We're thrilled to announce a major milestone in our journey developing try-on diffusion.
Our team at FASHN has officially open-sourced our TryOnDiffusion implementation on GitHub 🎉
Check it out and show your support by giving it a ⭐️! https://github.com/fashn-AI/tryondiffusion
This implementation of the “TryOnDiffusion: A Tale of Two UNets” paper aims to contribute to the community and foster collaboration in the fashion and tech industry.
Our GitHub repository offers:
Parallel UNet Architectures: Code for the base 128x128 UNet and the super-resolution 256x256 UNet.
Imagen-inspired Cascading: Seamless integration between Parallel UNets for enhanced performance.
Training Management: An Imagen trainer class for efficient training of multiple UNets.
Practical Examples: Test scripts to demonstrate the usage of UNets, Imagen, and the Trainer classes.
Join the Community
We believe in the power of open-source to accelerate innovation and collaboration. By sharing TryOnDiffusion with the world, we hope to contribute to breakthroughs in virtual try-on technology.
We invite developers and researchers to explore our repository and contribute ❤️.
Join our Fashion E-Commerce discord server where we have a dedicated # 👗 | virtual-try-on channel to share your thoughts with us.