The same photo before and after Virtual Fashion Model.
After
Before
Virtual Fashion Model workflow

Virtual Fashion Model

Generative output can vary; review the full result before publishing

Between a flat-lay and a booked shoot there is a gap where decisions get made — which pieces make the range, how a silhouette reads, what the styling should be. This direction fills that gap by visualising a supplied garment on a virtual figure, and is deliberate that the result belongs in the decision, not in the shop window.

  • Prepared Virtual Fashion Model direction
  • Editable prompt and explicit output controls
  • Full-result review required

Choose a source image for Virtual Fashion Model

JPG, PNG, WebP, HEIC, and other supported formats. Free up to 20 MB; Premium and higher up to 50 MB for this tool.

Fashion & ApparelPreset loaded automatically

Set up for Virtual Fashion Model

Explore Fashion & Apparel

Prepared settings

Starting point
Upload one source image
The page opens on the correct edit workflow; upload is the only required setup step.
Prepared workflow
Prepared Virtual Fashion Model workflow
Virtual Fashion Model opens with the Virtual Fashion Model direction preselected, so there is no need to find the operation manually.
Output shape
4:3
The recommended composition is selected automatically and can be changed before processing.
Review rule
Review the complete generated result before use
Generated imagery can vary; the final result stays under the user's approval before download.

Best-fit uses

  • Range reviews before committing to production
  • Styling direction ahead of a booked shoot
  • Internal presentations of a collection in progress

Frequently asked questions

How is this different from the model generator?
They overlap heavily and are aimed at the same concept stage from different starting points — one leads with the model presentation, the other with the garment. Use whichever framing matches how you are thinking about the problem; the honesty limits are identical.
Can virtual models replace fit models?
No. A fit model exists to tell you the garment is wrong — where it pulls, rides or gapes on a real body. A virtual figure cannot report any of that, and treating it as fit validation is how sizing problems reach customers.
Is it appropriate for diverse body representation?
Be careful here. Generating diverse figures rather than working with real people of those bodies has been widely criticised as representation without inclusion, and it produces images that are frequently anatomically wrong. If representation is the goal, cast real models.
What must be verified before publishing?
Garment accuracy first — color, cut, print placement, trims — then anatomy, especially hands and how fabric meets the body. Then check the disclosure rules for the market you are publishing into, several of which now specifically cover synthetic fashion models.
Is the model in the result a real person?
No. The model is an AI-generated person who does not exist, created for this image — no real individual is photographed, represented, or endorsing anything. That is why there is no model release to collect. Many markets, including the EU, expect you to make clear that an image of a person was AI-generated when you publish or advertise it, so keep that disclosure with the image and check the rules for your own market and platform.

What you can do with AI Product Scene Generator

Review the main capabilities before you begin.

  • Detect and protect the product automatically
  • Create editorial, ecommerce, and social campaign concepts
  • Generate coherent props, surfaces, lighting, and shadows
  • Copy protected product pixels from the prepared source

Settings reference

Available controls for AI Product Scene Generator.

Workflow

Single image or Batch imagesPresets
Process one image, or use Premium Batch images to apply the same automatic recipe to a set and download one ZIP.Options: Single imageBatch images

Scenes

One-tap presetsPresets
Pick a ready-made direction with one tap; generation uses the selected preset automatically.Options: Bathroom counterKitchen lifestyleOutdoor lifestyleEditorial podiumSocial ad
Custom instructions (optional)Text input
Describe the requested change, relevant materials, lighting, perspective, and details that must remain unchanged.

Selection

Selection brush sizeSliderRange: 4–160px · Default: 32px
Automatic selection is the default. Open Refine area manually and set this brush width only when the image needs a tighter edit boundary.

Output

Ask AI to preserve subject identity and product detailsOn / Off
Adds an explicit instruction to retain the main subject, shape, branding, labels, and readable text unless the request changes them.
Free to use · No signup required · Without watermarkUploads are encrypted in transitRemoved under our retention policy

Watch each transformation land

Every photo crosses the slash untouched and comes out the other side finished.