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ComfyDeploy: How ComfyUI-IDM-VTON [WIP] works in ComfyUI?

What is ComfyUI-IDM-VTON [WIP]?

ComfyUI adaptation of [a/IDM-VTON](https://github.com/yisol/IDM-VTON) for virtual try-on.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for ComfyUI-IDM-VTON [WIP] and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

ComfyUI-IDM-VTON

ComfyUI adaptation of IDM-VTON.

workflow

Installation

:warning: Current implementation requires GPU with at least 16GB of VRAM :warning:

Using ComfyUI Manager:

  • In ComfyUI Manager, look for ComfyUI-IDM-VTON, and be sure the author is TemryL. Install it.

Manually:

  • Clone this repo into custom_nodes folder in ComfyUI and install the dependencies.
cd custom_nodes
git clone https://github.com/TemryL/ComfyUI-IDM-VTON.git
cd ComfyUI-IDM-VTON
python install.py

Models weights from yisol/IDM-VTON in HuggingFace will be downloaded in models folder of this repository.

Mask Generation

The workflow provided above uses ComfyUI Segment Anything to generate the image mask.

DensePose Estimation

DensePose estimation is performed using ComfyUI's ControlNet Auxiliary Preprocessors.

:star: Star Us!

If you find this project useful, please consider giving it a star on GitHub. This helps the project to gain visibility and encourages more contributors to join in. Thank you for your support!

Contribute

Thanks for your interest in contributing to the source code! We welcome help from anyone and appreciate every contribution, no matter how small!

If you're ready to contribute, please create a fork, make your changes, commit them, and then submit a pull request for review. We'll consider it for integration into the main code base.

Credits

License

Original IDM-VTON source code under CC BY-NC-SA 4.0 license.