Clone this repo into custom_nodes folder.
Install the required dependencies:
```
pip install -r requirements.txt
```
Note: If you are using a portable version of ComfyUI, use the corresponding python executable.

How to Use

1. (Down)load FASHN VTON

Use the (Down)load FASHN VTON node.

The model downloads automatically on first use. In most cases, no manual download is required.

When this node runs, it will:

Download the FASHN VTON v1.5 model weights
Download the required DWPose models
Store everything under ComfyUI/models/fashn-vton/
Load the pipeline automatically

If the files already exist locally, the download step is skipped.

Automatic Downloads

The following files are fetched automatically from Hugging Face:

FASHN VTON model
- model.safetensors
- Source: https://huggingface.co/fashn-ai/fashn-vton-1.5
DWPose models
- yolox_l.onnx
- dw-ll_ucoco_384.onnx
- Source: https://huggingface.co/fashn-ai/DWPose

Manual Download (Optional)

If you prefer to download the models manually (e.g. for offline use), place the files in the following directory structure:

ComfyUI/
└── models/
    └── fashn-vton/
        ├── model.safetensors
        └── dwpose/
            ├── yolox_l.onnx
            └── dw-ll_ucoco_384.onnx

2. Inference

Use the FASHN VTON Inference node:

pipeline: Connect from the Loader node.
person_image: The image of the person.
garment_image: The image of the garment.
category: tops, bottoms, or one-pieces.
num_timesteps: Recommended 30–50.
guidance_scale: Recommended 1.5–3.0.
keep_model_loaded: If set to false, the model will be moved to CPU after each inference to save VRAM.

Progress Bar

The inference node supports the ComfyUI native progress bar to show the status of the sampling process.

Credits

Model by FASHN AI. Implementation based on their open-source repository.

README.md Unescape Escape

ComfyUI FASHN VTON v1.5 Custom Nodes

Installation