AI Clothes Changer — Virtual Try-On & Outfit Swap API
Change clothes on any photo with AI-powered virtual try-on. Upload a person image and swap outfits using advanced diffusion models — preserving body shape, pose, and context.
How AI Clothes Changing Works
Advanced virtual try-on technology for fashion, e-commerce, and creative projects — powered by semantic segmentation and diffusion inpainting.
Semantic Garment Segmentation
The AI identifies clothing regions using semantic segmentation, then applies diffusion-based inpainting to replace garments. Provide a reference image or text description — the model handles tops, bottoms, dresses, outerwear, and full outfits.
E-Commerce Ready Output
Show the same garment on different body types, create seasonal variations, or generate entire lookbooks without expensive photo shoots. Supports input up to 2048x2048 and batch processing for high-volume catalogs.
Fabric & Texture Awareness
The model understands fabric textures, patterns, colors, and layering. It preserves the person's body shape, pose, and surrounding context for photorealistic results suitable for web and print.
AI Clothes Changer on WaveSpeed vs. Traditional Methods
See why fashion brands choose WaveSpeed for AI virtual try-on.
Performance at a Glance
AI clothes changing on WaveSpeed delivers fast, reliable results at scale.
Examples
Young woman turning to smile at camera, breeze catching her scarf, soft bokeh background.
Dancer performing a graceful pirouette, flowing dress creating motion trails, spotlight.
Butterfly emerging from chrysalis in close-up, wings slowly unfurling, soft natural light.
Detective walking through foggy city streets, trench coat collar up, film noir atmosphere.
Integrate in Minutes
Production-ready SDKs for Python and JavaScript. REST API with full OpenAPI spec. Webhook support for async jobs.
- Reference image or text-based garment swap
- Batch processing for high-volume catalogs
- Python & JavaScript SDKs + REST API
Get Any Tool You Want
1000+ models across image, video, audio, and 3D — all through one API.
FAQ
The AI uses semantic segmentation to identify clothing regions on the person, then applies advanced inpainting with diffusion models to replace the garments. You can provide a reference garment image or describe the desired outfit with text. The model preserves the person's body shape, pose, and surrounding context.
Yes. The model handles tops, bottoms, dresses, outerwear, accessories, and full outfits. It understands fabric textures, patterns, colors, and layering. Results are most accurate with clear, well-lit photos where the person's full torso is visible.
Absolutely. The AI clothes changer is ideal for e-commerce -- show the same garment on different body types, create seasonal variations, or generate entire lookbooks without expensive photo shoots. The API supports batch processing for high-volume catalogs.
The model supports input images up to 2048x2048 pixels and produces high-resolution outputs suitable for web and print. For e-commerce, we recommend starting with well-lit photos at least 1024px wide for the best results.
Each clothes change costs $0.12 per generation via the WaveSpeed API. Volume pricing is available for enterprise customers processing large catalogs. Contact our sales team for custom plans.