Topic added Nov 25, 2024

Ai Curly Hair Effect

Preview natural curly hair on a supplied portrait while preserving identity, face shape, hair color, pose, and background.

imageAn intent-specific edited PNG with source comparison, preview, and download.

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.

Ai Curly Hair Effect example — Image example

Video example

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 Curly Hair Effect 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 Source image before starting Ai Curly Hair Effect.
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 Curly Hair Effect 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.