bcmi / DCI-VTON-Virtual-Try-On

[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.
https://arxiv.org/abs/2308.06101
MIT License
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Custom Image #16

Closed Deepak2405 closed 1 year ago

Deepak2405 commented 1 year ago

Hi, thank you for the code. Could you let us know how to test for a custom image. What are the requirements and what changes we need to make in the code?

Limbor commented 1 year ago

Hi, you should fisrt do some preprocessing on the custom data referring to https://github.com/sangyun884/HR-VITON/issues/45#issue-1515217009. After this, you can refer to the dataset and inference related codes of the warping module and diffusion model in our code to process these data.