language:
- en
tags:
- ClothSwap
- TryOn
- StyleChange
- DressChange
- ClothShift
- TryCloth
- FashionNew
- SwapCloth
- DressSwap
- OutfitSwap
StyleShift - Cloth Swap / Dress Swap / Style Change / Outfit Swap
This project showcases a Cloth Swap feature, leveraging the powerful capabilities of ComfyUI, a modular and flexible interface for AI workflows. This guide provides step-by-step instructions to set up, use, and contribute to the project.
Objective
The primary objective is to provide a simple, effective, and customizable tool for tasks such as virtual try-ons, creative prototyping, and realistic clothing mockups. Whether you're an e-commerce platform, a fashion designer, or just experimenting with image manipulation, this project offers endless possibilities.
Clone and Setup ComfyUI Repository
Install ComfyUI by cloning its main repository:
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git clone https://github.com/comfyanonymous/ComfyUI.git
cd ComfyUI
Install dependencies:
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pip install -r requirements.txt
Install ComfyUI Manager:
goto ComfyUI/custom_nodes dir in terminal(cmd) and clone this repo:
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git clone https://github.com/ltdrdata/ComfyUI-Manager.git
Restart ComfyUI
To Start ComfyUI:
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python3 main.py
Note: ComfyUI requires Python 3.9 or above. Ensure all required dependencies are installed.
Now Go to Manager ->-> Custom Nodes Manager and install this two nodes ComfyUI Layer Style and ComfyUI_CatVTON_Wrapper, restart and reload the page.
Place the sam_vit_h_4b8939.pth model inside ComfyUI/models/sams directory and groundingdino_swint_ogc.pth model in ComfyUI/models/grounding-dino directory if not download it. (If directory name not there in ComfyUI/models/ create new)
- For Reference you can download model by below link: https://huggingface.co/ShilongLiu/GroundingDINO/resolve/main/groundingdino_swint_ogc.pth https://huggingface.co/spaces/abhishek/StableSAM/resolve/main/sam_vit_h_4b8939.pth
Clone this Repository
Clone the repository containing the Cloth Swap JSON workflows and assets:
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git clone https://huggingface.co/foduucom/StyleShift-ClothSwap
cd StyleShift-ClothSwap
How to use
- Start ComfyUI (by running python3 main.py)
- Open ComfyUI in your browser (default: http://127.0.0.1:8188)
- Click on Load button in menu bar and select the workflow.json file provided in this repository
- Now click on Queue Prompt for generate output
or you can use by python script provided in this repository:
python3 main.py
#Remember change the input paths in script here :
#prompt["2"]["inputs"]["image"] = "\\ put your input person pose image"
#prompt["3"]["inputs"]["image"] = "\\ put your input cloth image"
Using Cloth Swap
-Prepare your input images (ensure proper resolution for better results). -Select the uploaded workflow in ComfyUI. -Provide necessary inputs as per the workflow: -Source Image: The base image where the clothing is to be swapped. -Cloth Image: The image of the clothing to be applied. -Start the process to generate swapped outputs. -Save the generated images for further use.
Why is this Useful?
This project has a broad range of applications, making it useful across multiple industries and for personal use:
-Virtual Try-On Technology: Revolutionize online shopping experiences by enabling customers to "try on" clothes digitally. Reduce product returns by providing a realistic preview of clothing fit and style.
-Fashion Design and Prototyping: Help designers test their creations on various models without the need for physical samples or photoshoots. Quickly iterate designs and visualize the final product.
-Content Creation and Marketing: Create unique, engaging images for advertising campaigns, product promotions, or social media posts. Save time and resources by generating realistic images digitally.
-AI Experimentation: A valuable tool for developers and AI enthusiasts looking to explore the capabilities of ComfyUI and image processing workflows.
-Educational and Creative Use: Ideal for students and researchers exploring AI applications in the field of image editing and manipulation. Fun and engaging for hobbyists who want to experiment with AI art and creativity.
Compute Infrastructure
Hardware
NVIDIA GeForce RTX 3060 card
Model Card Contact
For inquiries and contributions, please contact us at info@foduu.com.
@ModelCard{
author = {Nehul Agrawal and
Priyal Mehta},
title = {Cloth Swap},
year = {2024}
}