I was playing with this yesterday - it's trending on huggingface. Worked really well on the few images I tested :) https://huggingface.co/spaces/Kwai-Kolors/Kolors-Virtual-Try-On More on reddit.com

I've seen a few examples of these, and one consistent problem is logos or graphic tees. I guess that's why you're using plain colors. The generation will never be exactly like the graphic in the original image. I guess the real workaround would be to use a displacement map on top of the generated clothing, but I couldn't find any nodes that allow this. 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

Checkout the "In Context Lora" for Flux: https://www.reddit.com/r/StableDiffusion/s/d3Qp3ECjpo More on reddit.com