Huashu Design
alchaincyf · Skill
Turns a one-line request in your AI agent into a finished design: a launch animation, a clickable app prototype, an editable slide deck, an infographic or a se…
Lets you see how a garment looks on a person in a picture, in a Gradio page from Kwai-Kolors that opens in a browser. For shoppers, sellers and designers.
Kolors Virtual Try-On is a kit in the Marketing & SEO category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download Kwai-Kolors/Kolors-Virtual-Try-On --repo-type space --local-dir Kolors-Virtual-Try-On cd Kolors-Virtual-Try-On
Kolors Virtual Try-On is a Gradio Space from Kwai-Kolors for trying clothes on in a picture. You open it in a browser, and nothing needs installing. The repository holds app.py, an assets folder and requirements.txt.
It suits online shoppers, fashion sellers and designers who want to preview how a garment would look on a person before a photo shoot or a purchase.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Fashion retail | Shop owners | Preview a garment on a model photo | Try a new jacket on a sample picture |
| E-commerce | Sellers | Make quick product previews | Compare two garments on the same person |
| Design | Designers | Test how an outfit reads on a body | Check a design idea before sewing |
If you need exact fit or size advice, you can skip it, since the page works on pictures.
| Use case | Who | What they get back |
|---|---|---|
| Preview an outfit | Shoppers | A picture with the garment shown on the person |
| Product previews | Sellers | Quick visuals without a photo shoot |
| Study the code | Developers | A short app.py to read |
pip install -U huggingface_hub hf download Kwai-Kolors/Kolors-Virtual-Try-On --repo-type space --local-dir Kolors-Virtual-Try-On cd Kolors-Virtual-Try-On pip install gradio==4.43.0 pip install -r requirements.txt python app.py
Open the page, or the one your local copy starts, and give it a picture of a person and a picture of a garment. The page then shows the person wearing the garment. The README lists no controls, so follow what the page shows.
Give the app a photo of a person and a photo of a shirt. The page returns the person wearing that shirt.
Open the Space page and try one person photo with one garment photo. Nothing needs installing, and a clear front-facing picture is a sensible first test.
The repository is small, with app.py, a requirements.txt and an assets folder, and the Space runs on upgraded CPU hardware at Hugging Face. The app is built with Gradio 4.43.0. The README gives no notes on models or limits, so read app.py for how it produces the result.
The README is only a configuration header, so limits and image requirements are not documented.
Lets you see how a garment looks on a person in a picture, in a Gradio page from Kwai-Kolors that opens in a browser. For shoppers, sellers and designers.
Made by Kwai-Kolors on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: Kolors Virtual Try-On is a Gradio Space from Kwai-Kolors for trying clothes on in a picture. You open it in a browser, and nothing needs installing. The repository holds app.py, an assets folder and requirements.txt.
Who it suits: It suits online shoppers, fashion sellers and designers who want to preview how a garment would look on a person before a photo shoot or a purchase.
Industry | Who uses it | How they use it | Example
Fashion retail | Shop owners | Preview a garment on a model photo | Try a new jacket on a sample picture
E-commerce | Sellers | Make quick product previews | Compare two garments on the same person
Design | Designers | Test how an outfit reads on a body | Check a design idea before sewing
If you need exact fit or size advice, you can skip it, since the page works on pictures.
Where to use it:
Use case | Who | What they get back
Preview an outfit | Shoppers | A picture with the garment shown on the person
Product previews | Sellers | Quick visuals without a photo shoot
Study the code | Developers | A short app.py to read
How to set it up:
pip install -U huggingface_hub
hf download Kwai-Kolors/Kolors-Virtual-Try-On --repo-type space --local-dir Kolors-Virtual-Try-On
cd Kolors-Virtual-Try-On
pip install gradio==4.43.0
pip install -r requirements.txt
python app.py
How to use it: Open the page, or the one your local copy starts, and give it a picture of a person and a picture of a garment. The page then shows the person wearing the garment. The README lists no controls, so follow what the page shows.
Example: Give the app a photo of a person and a photo of a shirt. The page returns the person wearing that shirt.
For newcomers and experts: Open the Space page and try one person photo with one garment photo. Nothing needs installing, and a clear front-facing picture is a sensible first test.
The repository is small, with app.py, a requirements.txt and an assets folder, and the Space runs on upgraded CPU hardware at Hugging Face. The app is built with Gradio 4.43.0. The README gives no notes on models or limits, so read app.py for how it produces the result.
You give a person picture and a garment picture
app.py takes both in the Gradio page
The try-on result is produced
The page shows the person wearing the garment
Good to know: The README is only a configuration header, so limits and image requirements are not documented.
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Kolors Virtual Try-On This page | 10,223 | gradio | apache-2.0 | |
| MIDJOURNEYShares gradio | 3,001 | gradio | creativeml-openrail-m | |
| QIE-2511 Rapid-AIO LoRAs Fast (Experimental)Shares gradio | 569 | gradio | apache-2.0 | |
| Omni Video Factory by elboboShares gradio | 8 | gradio | mit | |
| AI Talking Avatar Generator From PhotoShares gradio | 5 | gradio | mit | |
| Video Dubbing (SoniTranslate)Shares gradio | 3 | gradio | mit |
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
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