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Catvton

Catvton is a Python diffusion model for generating virtual clothing try-on images. The project provides model weights and inference code, plus documented Gradio and ComfyUI ways to use it.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Catvton — OpenViST project profile in Image & Video AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Catvton when you need an image-based virtual try-on model and can work with its documented Python setup, Gradio app or ComfyUI workflow.

Who it is for

  • Developers building image-based virtual try-on prototypes
  • Researchers experimenting with fashion image generation
  • ComfyUI users who want to add a virtual try-on workflow

Documented uses

  • Generate images showing a garment on a person.
  • Run virtual try-on inference against VITON-HD or DressCode data.
  • Evaluate generated images against reference images with the repository's metric script.
Before you choose

Requirements & limits

The repository documents a local Python setup and a Hugging Face demo. It states that the code, checkpoints and demo are licensed under Creative Commons BY-NC-SA 4.0 for non-commercial reuse with attribution and share-alike terms.

  • The repository specifies Python 3.9 for its Conda installation.
  • The project states that simplified inference at 1024×768 uses under 8 GB VRAM.
  • The first ComfyUI workflow run automatically downloads weights and usually takes dozens of minutes.
  • Dataset inference requires VITON-HD or DressCode; DressCode preparation includes an agnostic-mask preprocessing script.
  • The documented license limits reuse to non-commercial purposes subject to its terms.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install CatVTON’s Python requirements

Create the documented Python 3.9 Conda environment and install the project requirements.

Before you start

  • Conda is available.
  • The CatVTON project directory is available.

Steps

  1. Create an environment with Python 3.9.0: conda create -n catvton python==3.9.0.

  2. Activate it with conda activate catvton.

  3. Change to the CatVTON project directory (cd CatVTON-main, or use your project path).

  4. Install dependencies with the command below.

    Documented command
    pip install -r requirements.txt

Expected outcome

The CatVTON Conda environment is created and the requirements are installed.

Guide limitations

  • This covers installation only; it does not establish that the environment has been tested or run.
  • Further setup stages are described in the project’s [ComfyUI deployment and inference instructions](https://github.com/Zheng-Chong/CatVTON/blob/main/README.md).
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Model inference and serving

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
CatvtonGenerate images showing a garment on a person.Cloud, Self-hostedThe repository documents a local Python setup and a Hugging Face demo. It states that the code, checkpoints and demo are licensed under Creative Commons BY-NC-SA 4.0 for non-commercial reuse with attribution and share-alike terms.
ControlvideoGenerate video from a text prompt with structural guidance.LinuxThe implementation is available as a public GitHub repository under the MIT license. The README separately links to Hugging Face and Replicate demos.
Firered Image EditApply a requested change to an input image using a written prompt.Linux, Self-hostedThe repository lists an Apache-2.0 license and links to model and demo pages on Hugging Face and ModelScope.
Evidence and transparency

Sources & review

Official repository ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
3 November 2026
Original website title
Zheng-Chong/CatVTON · Official homepage title · retained in its source language
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