A comprehensive AI-driven image manipulation skill for professional-grade inpainting, outpainting, background removal, and high-resolution upscaling.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install image-edit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install image-edit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Image Editing?
The AI Image Editing skill provides a structured framework for agents to perform sophisticated visual modifications using industry-leading AI models. By leveraging Openclaw Skills, users can automate complex tasks such as object removal, canvas extension, and style transfer while maintaining professional standards like non-destructive editing.
This skill focuses on precision and quality, offering dedicated workflows for masking and layering. It integrates with top-tier tools like DALL-E, Stable Diffusion, and Real-ESRGAN to ensure that every edit, from simple background swaps to intricate face restorations, is executed with seamless blending and color accuracy.
AI Image Editing Use Cases
- Removing distracting objects or people from images using context-aware AI inpainting.
- Extending image borders for different aspect ratios through intelligent outpainting techniques.
- Automating background removal for e-commerce product shots and marketing materials.
- Restoring old or blurry photographs by fixing facial features and removing digital artifacts.
- Upscaling low-resolution assets to high-definition for print or web use without losing detail.
How AI Image Editing Works
- Identify the specific edit requirement by analyzing the user's request against the Openclaw Skills technique library.
- Create a precise mask for the target area, utilizing SAM (Segment Anything) or manual coordinates where necessary.
- Execute the transformation using the best-suited provider, such as DALL-E for inpainting or Real-ESRGAN for upscaling.
- Apply non-destructive principles by preserving the original file and saving the modification as a new iteration.
- Refine the output through iterative passes, focusing on edge feathering and noise matching for a natural finish.
AI Image Editing Setup
To begin using this skill within your environment, ensure you have the necessary tool providers configured. You can initialize the environment using these Openclaw Skills commands:
# Install the image editing skill package
openclaw install image-editing
# Configure API keys for preferred providers (e.g., Stability AI or remove.bg)
openclaw config set STABILITY_API_KEY <your_key_here>
# Verify technique files are available in the local skill directory
ls .skills/image-editing/techniques/
AI Image Editing Data Schema & Taxonomy
The skill manages image data through a structured versioning system to ensure non-destructive editing:
| Data Type | Description | Naming Convention |
|---|---|---|
| Source Image | The original, untouched file. | original_[name].[ext] |
| Edit Mask | Grayscale mask defining the modification area. | mask_[name]_[type].png |
| Intermediate Layer | Sequential edits before final flattening. | layer_[num]_[name].png |
| Final Export | The completed, upscaled, and color-corrected result. | final_[name].[ext] |
| Metadata | JSON record of tools, seeds, and prompts used. | [name]_metadata.json |
AI Image Editing Advanced Features
- Segment Anything (SAM) integration for automated, pixel-perfect object selection.
- Multi-pass enhancement pipelines that combine restoration, denoising, and upscaling in one automated sequence.
- Support for IC-Light and relighting tools to match subject lighting with new backgrounds.
- Context-aware prompting to guide AI fill behavior during complex inpainting tasks.
- Automatic noise and film grain matching to maintain the texture of the original photograph.
SKILL.md
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