JustScribeTopic added Aug 18, 2024
Ai Virtual Try On
Combine a person photo and a garment photo to preview the selected clothing category while preserving body pose, face, and garment identity.
creativeA try-on image with side-by-side comparison.
Examples
See the workflow in action
Review a representative image and video example before you run the workflow, then compare the result against the details that matter for your use case.
Provider migration
Temporarily unavailable
This workflow is paused while its generation route is moved to WaveSpeed. It cannot start a legacy provider task or charge credits.
How it works
Ai Virtual Try On end-to-end workflow
- 01
Upload the source file and check the preview.
- 02
Choose only the controls that materially affect this task.
- 03
Run the job and keep the progress state visible.
- 04
Compare the result, revise if needed, then download the final asset.
Inputs
Prepare these inputs before running
- Prepare the required Person image, Garment image, Garment category before starting Ai Virtual Try On.
- Use a small representative source first; keep an untouched original for comparison.
- State one desired change and a measurable pass condition instead of combining unrelated requests.
Result checks
What a usable result should pass
- Compare the Ai Virtual Try On output beside the original at 100% zoom.
- Check the requested edit, subject identity, edges, hands, visible text, background, and preserved details.
- Reject the result if unrelated regions or protected product details changed.
Limitations
What this workflow may not guarantee
- Generation can produce artifacts; inspect the result before publishing or delivering it.
- Do not upload media or use a person, voice, logo, or copyrighted work without permission.
- Small text, hands, faces, transparent edges, and exact product details require close review.
Publish checks
What must work before publish
- Required inputs are validated before a run starts.
- Progress, errors, and retry state remain visible.
- The result can be inspected before download.
- Failed remote jobs do not consume credits.