Kolors is a large-scale text-to-image diffusion model developed by the Kuaishou Kolors team. It’s available under an Apache-2.0 open-source license. The Kolors Virtual Try On is a Hugging Face Space (an app) built on top of this model: you upload a person image and a garment image, and the AI generates a realistic image of the person “wearing” that garment.
The model was trained on billions of text-image pairs, making it very good at visual fidelity, semantic accuracy, and text rendering (especially for both English and Chinese). The underlying model also supports image-to-image tasks (not just text-to-image) via the KolorsImg2ImgPipeline.
Key Features & Capabilities
Here’s a breakdown of its main features:
- Realistic Virtual Fitting: By combining a person’s photo and a clothing image, Kolors creates a synthetic try-on result.
- Wide Clothing Variety: You can try many types of outfits — from casual wear to formal or fashion pieces — depending on the garment image you upload.
- High Visual Quality: Uses advanced diffusion techniques to preserve textures, logos, and realistic draping.
- Multilingual Text Support: Since Kolors is trained on bilingual (English and Chinese) data, it handles both languages well.
Flexible Backends:
- Use via Hugging Face Spaces (no coding needed). Use via Diffusers library in Python for more control / custom workflows.
- Use via API (Replicate) for integration into your own apps.
- Virtual Model Generation: Through Kolors AI, you can generate fashion model shots using virtual models + product photo — useful for e-commerce photography.
- Commercial Use: The open-source model allows for commercial applications, but you need to register via email with the Kolors team for larger-scale or commercial usage.
How to Use Kolors Virtual Try-On (Step-by-Step)
Here’s a simplified flow for a typical user on the Hugging Face Space:
- Go to the Kolors Virtual Try-On Space
Visit the Hugging Face space: Kwai-Kolors / Kolors-Virtual-Try-On. - Upload a Person Photo
Use a well-lit, clear photo of yourself (or a model). Upload a Garment Image
Provide a clothing image — it could be a flat-lay, mannequin shot, or product photo. - Generate Try-On
Click “Generate” (or similar) to let the AI produce the virtual try-on result. - View & Save
Once generated, you can view the image, download it, or share it.
Pricing, Plans & Discounts
While the core Kolors model is open-source, some hosted versions or commercial wrappers have their own pricing structure:
Here’s a comparison table of different Kolors-Virtual-Try-On offerings / plans (from various providers):
| Platform / Provider | Plan / Tier | Price / Cost | Key Features / Limitations |
| KolorsVirtual.ai | Basic | $9 / month (30% off for early users) | 50 credits, try-on studio, history, shareable links. |
| Standard | $25 / month (after discount) | 200 credits, try-on videos, priority support. | |
| Pro | $45 / month (after discount) | 400 credits, unlimited model creation, soon: model training. | |
| Virtual-Try-On.org | Basic | $9.9 / month | 50 try-on generations / month. |
| Standard | $19.9 / month | 150 generations, faster speed, support. | |
| Pro | $39.9 / month | 400 generations, private generation, commercial support. |
Note: Prices may change and discounts (like the 30% off) are often for limited signups. Always check the provider’s site for the most up-to-date pricing.
Strengths and Limitations
Strengths:
- High realism: Good at preserving texture, color, and detail.
- Multilingual support: Works well with English and Chinese prompts.
- Flexible usage: Can be run locally, via API, or via hosted web tools.
- Cost savings: For brands, using AI try-on can reduce the need for large photoshoots.
- Creative potential: Useful not just for shopping but for content creation, design, lookbooks, UGC, etc.
Limitations / Risks:
- Static images only: The try-on result is a generated photo, not a live AR fitting.
- Pose / alignment issues: If the input person image is not well posed (or garment photo is messy), results can be weird.
- Privacy concerns: On public demo spaces, uploading personal photos may raise privacy questions. On Reddit, users have noted concerns:
- “The huggingface space sends encoded image to Kuaishou servers … they are probably storing images.”
- Resource demand: Running Kolors with GPU (especially for many or high-res images) requires decent compute.
- Commercial licensing: For large-scale or commercial use, registration and permission from the Kolors team may be required.
How Hugging Face Kolors Virtual Try On Compares
- CatVTON: A newer virtual try-on diffusion model that uses concatenation and less preprocessing.
- LaDI-VTON: Uses latent diffusion + textual inversion to better preserve garment texture.
- Other advanced models: Research is rapidly evolving; Kolors is one of the more mature open models, but “state-of-the-art” is always shifting.
Use Cases & Who It’s For
Kolors Virtual Try-On is especially valuable for:
- Fashion Brands / E-commerce: To generate model shots without full photoshoots, reducing cost and time.
- Content Creators: Influencers, stylists, or anyone making fashion content can use it to mock up outfits.
- Designers: Use it to preview garment designs on different body types or create virtual lookbooks.
- Personal Styling: Individuals wanting to visualize how clothes might look on them before buying.
- Marketing / Ads: Generate realistic lifestyle or product images for campaigns, UGC, or catalogs.
Where to Access Hugging Face Kolors Virtual Try On
Here are key places / services related to Kolors Virtual Try-On:
- Hugging Face Space (official)
- Kwai-Kolors / Kolors-Virtual-Try-On
- Kolors Model Repository
- Kolors on Hugging Face (for downloading model weights)
- Kolors Diffusers
- For using Kolors via the diffusers library: KolorsPipeline
- SegMind / API
- Kolors Serverless API via SegMind
Third-party Tools:
- MagicTryOn.net — a web wrapper for Kolors virtual try on. PixelDojo.ai — supports Kolors virtual image generation.
- Kolors AI — for virtual model generation + clothing e-commerce photography.
Security, Privacy & Community Notes
As mentioned, some users are concerned about privacy when uploading real personal photos: the Hugging Face Space may send data to Kuaishou servers.
- The model license is Apache-2.0, but commercial use may require registering with the Kolors team.
- The GitHub repo is publicly available, so advanced users / developers can inspect, modify, or self-host.
- There’s active community discussion (on Reddit, etc.) about using Kolors in ComfyUI, building Chrome extensions, and integrating into larger systems.
Why It’s Got So Much Attention (“Highest Selling Product”?)
While not a physical product, KHugging Face Kolors Virtual Try On is extremely popular in the AI / fashion-tech world because it democratizes high-quality virtual try-on using open models.
- Brands and creators see it as a cost-saving tool compared to traditional photoshoots.
- The model’s quality (trained on billions of examples) and bilingual support give it a strong technical edge.
- Its integration with Hugging Face makes it very accessible for developers, making adoption easier.