What this workflow creates
Transform flat-lay clothing into an on-model image. One image per request.
- Who it’s for
- clothing seller
- What it does
- Generate real-person wearing effects that match the pattern
- Where to use it
- E-commerce details, advertising
One image per request.
What you need
- clothing tilesRequired · 1 image
- Provide the original subject
Provide every required input. Add optional inputs only when useful, and mark conditional inputs as applicable only when they apply to this request.
How to use this workflow
Open the generation form
Select “Use this workflow” to see the required inputs. You’ll need to sign in before generating.
Add the required inputs
Prepare: 1 flat-lay garment image. Complete every required field, add optional inputs only when useful, and mark each conditional input as applicable or not applicable.
Review text and output settings
Choose the aspect ratio, resolution, and quality that fit this use case. The generation form shows the available options.
Generate and review
Select “Generate image,” then review the result and open the full-size image. Check it against the detailed requirements below. One image per request.
Do I need to write a prompt?
No prompt needed—upload the required inputs.
Upload the images listed below; you do not need to add a written prompt. You do not need to write generation instructions. Use the form fields to provide the images, exact copy, data, or description requested by this workflow.
Detailed result requirements
1 flat-lay garment image
Clothing source pictures and clear frontal/full-body character pictures; product SKU must be provided for specific channels.
The main image of Amazon's adult clothing is usually a front view of a real person, completely uncropped, close to 3:4, with about 85% of the product, and a pure white background.
Set the output canvas from the selected platform placement or production template, not from a reference image. Choose the option that matches this request: apparel model image working canvas — 2:3 (recommended). Use a different ratio only when a verified placement or production template requires it. If the platform does not require a fixed aspect ratio, use 2:3 as the recommended working canvas for apparel model image. Compose the subject with appropriate breathing room. Create one aspect-ratio-specific deliverable per request; generate each additional placement as a separate output. Recompose for the selected ratio while preserving the complete subject, all text, and every required safe area. Never stretch the subject or treat cropping important content as adaptation.
Clothing styles, colors, fabric textures, prints, logos and product range.
No universal public standard is available. Check the requirements of the platform or service you will use.
No universal public standard is available. Check the requirements of the platform or service you will use.
No universal public standard is available. Check the requirements of the platform or service you will use.
No universal public standard is available. Check the requirements of the platform or service you will use.
No universal public standard is available. Check the requirements of the platform or service you will use.
No universal public standard is available. Check the requirements of the platform or service you will use.
Text, logos, watermarks, multiple viewing angles, and non-compliant postures are prohibited; try-on results cannot prove an accurate fit, and clothing details need to be checked.
Official and platform requirements
No universal public standard is available. Check the requirements of the platform or service you will use.
FAQ
What can I create with this workflow?
Transform flat-lay clothing into an on-model image. One image per request.
Do I need to write a prompt?
Upload the images listed below; you do not need to add a written prompt. You do not need to write generation instructions. Use the form fields to provide the images, exact copy, data, or description requested by this workflow.
What do I need to upload?
“clothing tiles”: 1 image; required. JPG, PNG, and WebP are supported, up to 10 MB per image.
What does one generation produce?
One image per request.
Common search terms
Public evidence and sources
Three directly relevant public sources have been found, and four types of specific constraints have been extracted. The following content only restates information that appears clearly from the source; no filling in of blank fields will be made.
