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Free AI fashion model generator.

Put your clothing on AI models. Upload a product photo, describe the model and scene, and get three variants in studio, lifestyle, or editorial, with the real product kept in frame. In Blu, the Brand Designer agent runs it across the catalog on one model you approved and locked first.

How to use the AI fashion model generator

It takes three steps and every output renders on this page so you can copy or export it right away.

Upload the product photo

Drop in a clear shot of the garment, accessory, or held product. Then describe the model and the scene.

Generate the on-model photos

Pick studio, lifestyle, or editorial, and the AI fashion model generator returns three shots of your product on the model you described.

Open it inside Intempt

Push the winner into Intempt so the Brand Designer agent locks the model you approved, and the Performance Marketer agent syncs the audience to the ad destinations you already run.

Use in Claude

Blu Agent

Who it's for

  • DTC brands testing on-model presentation before booking a real shoot
  • Anyone who needs a whole catalog of SKUs shown on-model in one pass

What's in the download

  • SKILL.md - The 3 real styles (studio, lifestyle, editorial) and 3-variant, on-model output from the browser tool, plus instructions to generate with whatever image-generation MCP is already connected, and to preserve the actual uploaded product (not a generated substitute) while treating the model itself as synthetic.

How to install it

claude.ai or Claude Desktop
Upload as a zip in Capabilities
Paid plan
  1. Open Settings, then Capabilities
  2. Turn on code execution if it isn't already on
  3. Upload the .zip you downloaded
Requires a Pro, Max, Team, or Enterprise plan. Not available on the Free plan.
Claude Code
Drop the folder, it auto-loads
Any plan
  1. Unzip the download
  2. Drop the folder into ~/.claude/skills/ (or .claude/skills/ in a project)
  3. Claude Code finds it automatically
$ ls ~/.claude/skills/
your-new-skill/

What you need

  • Claude Desktop or claude.ai (Pro, Max, Team, or Enterprise for claude.ai upload)
  • Claude Code: no plan restriction
  • An image-generation MCP connected in Claude (any provider) to actually generate the photos

Try it with

  • “Use the ai-fashion-model-generator skill to place this product on a lifestyle-style model in this scene”
  • “Generate studio-style on-model shots for this whole product catalog”

Prefer an instant answer? Run it now above.

Questions about theAI fashion model generator.

Yes. Sign up for the free Intempt plan, then generate model photos on this page and download them free 3 times a day, and up to 10 times a day across all the tools, while syncing audiences, tracking first-party conversion, and grading ROAS sit inside the free Intempt plan.

Teams love it

They stopped stitching tools andhired one system.

StockInvest

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Anonymous traffic was not turning into registered users, and acquisition and retention were run as two separate problems. We ran Experiences on the anonymous visitor flow to put the right content and CTAs in front of each visitor, then handed new signups to automated Journeys for onboarding and deeper engagement.

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FieldsUSA

Judge experiments on revenue per visitor instead of conversion rate. A variant can win on conversions and still lose on revenue, and repeat buying only shows up when the whole journey is in one view.

High-intent shoppers browsed a large, specialized outdoor catalog, and browsing, product interest and purchase history sat in different places. We unified them into one customer view, then ran real-time personalization, intent-based segmentation and timely follow-ups on top of it, judging experiments on revenue per visitor.

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Hoperfy

Build the pipeline on observed signals. When follow-ups trigger on intent, the team spends its time on the users who are genuinely engaging.

Static lead lists and timeline-based follow-ups were hiding who was actually engaging. We ran a signal-led outbound pipeline where follow-ups fire on real behavior: outbound replies, onboarding progress and product usage.

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Intempt Design

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