Here is more information about the project: https://tryondiffusion.github.io/ https://arxiv.org/pdf/2306.08276.pdf TryOnDiffusion generates apparel try-on results with a significant body shape and pose modification, while preserving garment details at 1024×1024 resolution (...) Given two images depicting a person and a garment worn by another person, our goal is to generate a visualization of how the garment might look on the input person. A key challenge is to synthesize a photorealistic detail-preserving visualization of the garment, while warping the garment to accommodate a significant body pose and shape change across the subjects. Previous methods either focus on garment detail preservation without effective pose and shape variation, or allow try-on with the desired shape and pose but lack garment details. In this paper, we propose a diffusion-based architecture that unifies two UNets (referred to as Parallel-UNet), which allows us to preserve garment details and warp the garment for significant pose and body change in a single network. The key ideas behind Parallel-UNet include: 1) garment is warped implicitly via a cross attention mechanism, 2) garment warp and person blend happen as part of a unified process as opposed to a sequence of two separate tasks. Experimental results indicate that TryOnDiffusion achieves state-of-the-art performance both qualitatively and quantitatively. More on reddit.com

Hi everyone! Over the last year, my partner and I built FASHN—a unique in-house AI technology that specializes in virtual try-ons. We trained our AI model from scratch, so it's not fine-tuned/open-source wrapper. We put over $70k in training the model, and it's still training every day. How it works: Upload one image of yourself, a model, an AI model (you can create that with our app) Upload one image of the garment (top, bottom, full-body) Run and get the result! You can download the image and we're also creating a public link for you that you can use anywhere. Since we got many requests from indie hackers that want to integrate it in their apps, we developed an API. I recommend going to our app first and test it through our interface. You're getting 20 free credits upon signing up! You can take a look at this guide to understand how to improve your results. Get started & more info here: https://fashn.ai/products/api Link to the docs: https://docs.fashn.ai/ The results we got so far are some of the best you can find in terms of accuracy and runtime. Attached a demo video we made with a friend's fashion brand. Would love to get your feedback! More on reddit.com