Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
eachlabs-image-edit v0.1.1 - Documentation files updated (SKILL.md, references/MODELS.md). - No functional changes to the skill; updates provide improved or clarified documentation.
What This Skill Does
Edits and transforms existing images using 130+ AI models via the EachLabs Predictions API. Covers background removal, upscaling, style transfer, face swap, inpainting, virtual try-on, 3D generation, and image analysis. Model selection ranges from fast lightweight options to highest-quality outputs depending on the task.
One API covers 130+ specialized models for upscaling, background removal, face swap, style transfer, and more, removing the need to manage separate integrations for each task.
When to use it
- Removing backgrounds from product photos for e-commerce listings
- Upscaling low-resolution images before printing or publishing
- Virtually trying on clothing items using a photo of a person and a garment
- Swapping faces between photos for creative or editorial use
- Generating a 3D model from a single product image
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Remove the background from my product photo
- 1Validates the rembg-enhance model slug via GET /v1/model?slug=rembg-enhance
- 2Posts a prediction request with the product image URL to POST /v1/prediction
- 3Polls GET /v1/prediction/{id} every few seconds until status is 'success' or 'failed'
- 4Extracts the output image URL from the completed prediction response
A URL pointing to the product photo with its background removed
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.