Before
AfterShirt virtual try-on
Keeps the person face and pose, then naturally dresses the flat-lay shirt onto their torso.
Upload a person and a garment reference image. The AI dresses the person in your selected clothing while keeping their face, pose, body shape, background, and the garment's fabric, color, and details.
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Shirt virtual try-on
Example preview · your generation appears here
Before / After
Before
AfterKeeps the person face and pose, then naturally dresses the flat-lay shirt onto their torso.
Before
AfterMaintains background and body proportion while handling collar overlap and sleeve occlusion.
Before
AfterRetains dress pattern and color while generating fabric folds that match the person standing posture.

The person photo provides identity, pose, and body shape. The garment photo provides cut, color, and texture. If either image has heavy obstructions, the model starts guessing.

The generated image helps visualize style and coordination but cannot predict real fit, stretch, or fabric feel. Ecommerce listings should not describe the output as proof of fit.
About this tool
This tool keeps the main subject intact while helping you create a polished image for its intended use.
Why creators use it
Preserve important visual details
Choose settings for your workflow
Create publish-ready results faster
“It kept the important details while making the workflow much faster.”
“It made it easy to create versions for different use cases.”
No — clean flat lays give the most reliable cut preservation, but model-shot garments work too. Be aware that the original model body and background may interfere with the extraction.
The tool prioritizes keeping them, but loose garments, crossed arms, and full-body poses can affect body contour. Check the face, hands, and waist-to-hip ratio after generation.
Large patterns and prominent structural details are reliable. Small text logos, dense prints, and tiny buttons can be simplified or redrawn — not suitable as factual garment evidence.
We recommend changing one major garment at a time. Multiple simultaneous swaps increase occlusion conflicts and make it harder to diagnose failures.
Yes, but the garment reference should match the person angle as closely as possible. Arms blocking the waist and hair covering the shoulders are common failure points for collars and sleeves.
No — it provides a visual style preview. It does not have access to real body measurements, garment pattern dimensions, or fabric stretch data.
Turn a casual selfie or plain portrait into a restrained, credible professional headshot. Choose the use case, background, and outfit — the tool prioritizes keeping your actual appearance over making you look like someone else.
Place your product into a believable studio, lifestyle, or seasonal scene while preserving every packaging detail, logo, and brand element. No reshoot needed.
Adapt one image to landscape, portrait, and square formats without stretching the subject or cutting off important content. Choose between generative edge expansion and smart re-framing.