7 Best OpenClaw Skills for AI Image Editing

OpenClaw includes native image editing support out of the box. Send a reference image alongside a text prompt, and your agent edits the image using whichever AI provider you have configured. That handles straightforward edits like object removal, color correction, and style changes.

Specialized work requires more targeted tools. Batch background removal, raster-to-vector conversion, commercially licensed outputs, and face swaps each depend on dedicated image processing APIs with their own strengths. That is where third-party skills from ClawHub come in. Each skill connects your agent to a focused image editing service, and they work alongside any LLM backend your agent uses.

The skills below extend OpenClaw's image editing well beyond what the built-in capability handles alone. We ranked them by editing depth, output quality, commercial safety, and how cleanly they fit into automated workflows.

We tested image editing skills across four criteria:

• Editing depth: Does it handle a single operation (like background removal) or multiple editing types (inpainting, style transfer, upscaling)?
• Output quality: Are the results production-ready, or do they need manual cleanup?
• Commercial safety: Can you use outputs in client work without licensing concerns?
• Workflow fit: Does it integrate smoothly into an automated pipeline, or does it require manual steps?

We also grouped skills by primary capability. Most image editing tasks fall into a few categories: inpainting (filling masked regions), style transfer (changing visual style), background removal, upscaling, face swap, and vectorization. Each skill below leads with what it does best.

Top 7 OpenClaw Skills for AI Image Editing

1. EachLabs Image Edit - 130+ AI models covering inpainting, style transfer, face swap, upscaling, and background removal
2. Recraft - Raster editing, vector editing, and vectorization with per-operation API pricing
3. Bria AI - Commercially safe editing with FIBO, RMBG-2.0, and GenFill models
4. OpenAI Image CLI - GPT Image editing with multi-reference composition and mask-based inpainting
5. TopView AI - Product mockups, background removal, and text-to-image with built-in asset board
6. Nano Banana Pro - Google Gemini-powered editing with text rendering and multi-image composition
7. Built-in image_generate - Zero-install editing via OpenClaw's native tool with provider fallbacks

Each skill targets different editing workflows. EachLabs covers the widest range. Recraft is the only option for vector output. Bria is the safest choice for commercial use. The sections below break down each skill's strengths and limitations.

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EachLabs provides access to 130+ AI models through a single skill, making it the broadest editing toolkit on ClawHub. Rather than specializing in one operation, it routes your request to the best model for the job.

Available on ClawHub as the eachlabs-image-edit skill. Search for it in the ClawHub directory and install it from your OpenClaw settings.

Editing capabilities:

• Inpainting and outpainting
• Style transfer across artistic and photographic styles
• Face swap and virtual try-on
• Background removal
• Upscaling and enhancement
• 3D generation from 2D images
• Image analysis and tagging

The skill wraps the EachLabs Predictions API. You describe what you want changed in natural language, and the skill selects an appropriate model. For e-commerce teams that need product retouching, background swaps, and model try-ons in the same session, this is the most versatile option.

Limitations: Model selection happens automatically, which means you have less control over exactly which model processes your image. Results can vary between runs on the same prompt.

Best for: Teams that need a wide range of editing operations without installing multiple skills.

Recraft is the only OpenClaw image editing skill that handles both raster and vector output. If you need to edit a photo and export a clean SVG, this is the one to install.

Install:

clawhub install /recraft

Editing capabilities:

• Prompt-based raster editing (describe changes in text)
• Background removal with alpha channel output
• Vectorization of raster images to SVG
• Upscaling with detail preservation
• Vector image generation and editing

Recraft exposes its full API through the skill. Authentication requires a Recraft API key, which you paste once during setup. The skill stays active across conversation threads, so you can iterate on edits without re-authenticating.

Pricing: Free to install. API usage is billed per operation, with separate rates for generation, editing, vectorization, and batch jobs. Check Recraft's pricing page for current rates.

Limitations: Recraft focuses on image quality over speed. Complex vectorization jobs take longer than raster-only alternatives.

Best for: Designers and developers who need vector output, logo editing, or high-fidelity raster edits with clean exports.

Recraft also works via the Model Context Protocol (MCP), so you can connect it to other agent frameworks beyond OpenClaw.

Bria differentiates itself with commercially safe AI models. Every model in the Bria stack is trained on licensed data, which matters if your edited images end up in client deliverables, ads, or product listings.

Editing capabilities:

• FIBO: A JSON-native text-to-image model that converts short prompts or reference images into structured schemas, then renders reproducible results. Useful when you need consistent outputs across a batch.
• RMBG-2.0: Background removal that outputs continuous alpha mattes instead of binary masks, preserving fine edge detail like hair and transparent objects.
• GenFill: Mask-based inpainting. Paint the area you want to modify, and GenFill either fills it with generated content or erases what's there.

Beyond these core models, Bria supports product lifestyle shot generation, batch asset creation, and independent adjustments to lighting, season, or style on specific regions of an image.

Pricing: RMBG-2.0 runs at $0.018 per generation. Other model pricing varies by operation.

Limitations: The commercially safe training data can sometimes produce less stylistically diverse results compared to models trained on broader datasets. If you need highly artistic or avant-garde outputs, EachLabs or Recraft may be a better fit.

Best for: E-commerce product photography, marketing asset production, and any workflow where commercial licensing of AI outputs is a concern.

The OpenAI Image CLI skill connects OpenClaw to GPT Image (gpt-image-2) for text-guided editing with two standout features: multi-reference composition and mask-based inpainting.

Editing capabilities:

• Multi-reference editing: Supply multiple input images and combine a subject from one with the background, lighting, or composition from another. Useful for controlled art direction where you want specific elements from different sources.
• Mask-based inpainting: Provide a PNG alpha mask where opaque areas stay untouched and transparent areas get regenerated. Good for targeted fixes like sky replacement, object removal, and localized cleanup.
• Text-guided editing from a single reference image
• Batch generation (1-4 images per request)
• Output in PNG, JPEG, or WebP with transparency support

OpenClaw's built-in image_generate tool already supports gpt-image-2 as the default provider. The OpenAI Image CLI skill adds a command-line interface with more granular control over parameters, plus the multi-reference composition workflow that the built-in tool does not expose directly.

Pricing: Billed through your OpenAI API account. If you have an OpenAI Codex OAuth profile configured, the skill reuses those credentials automatically.

Limitations: Requires an OpenAI API key or Codex subscription. No vector output. Editing is limited to what gpt-image-2 supports natively.

Best for: Developers already in the OpenAI ecosystem who want precise control over GPT Image editing parameters.

TopView AI targets e-commerce and marketing teams who need product mockups, background removal, and brand asset generation through natural language.

Editing capabilities:

• Background removal with transparent PNG output
• Product model image generation (place products into lifestyle scenes)
• Text-to-image creation for brand posters and marketing visuals
• Multiple model support including Nano Banana 2, GPT Image, and Imagen 4

What sets TopView apart is Topview Board, a built-in asset management layer where generated and edited images are organized for preview, comparison, and sharing. Instead of downloading each result individually, your agent's outputs land in a visual workspace that humans can review.

Limitations: More focused on creation and product photography than fine-grained editing. If you need inpainting or style transfer, EachLabs or Bria are stronger choices.

Best for: E-commerce teams that need product lifestyle shots, background removal, and a visual review board in one workflow.

Nano Banana Pro wraps Google's Gemini image model (gemini-3-pro-image-preview) and adds editing capabilities that go beyond simple generation. Its standout feature is text rendering, where it achieves a single-line text error rate below 10%, a meaningful improvement over most image generation models.

Editing capabilities:

• Background replacement and scene swaps
• Style transfer across artistic and photographic looks
• Adding and removing elements from existing images
• Multi-image composition with up to 14 reference images
• Text rendering directly into generated images

The multi-image composition is worth noting. Most editing skills accept one or two reference images. Nano Banana Pro can take up to 14, letting you combine elements from multiple sources into a single output. That opens up workflows like creating composite marketing assets from a library of product photos.

Pricing: Free skill. API costs depend on your Google AI / Gemini API tier.

Limitations: Text rendering quality drops with longer or multi-line text. Style transfer results vary depending on the source and target styles. Fewer specialized editing models compared to EachLabs.

Best for: Teams that need text-on-image generation, multi-source compositing, or prefer to stay within Google's AI ecosystem.

OpenClaw includes a native image_generate tool that requires no skill installation. If you have an API key configured for any supported provider, you can edit images immediately.

How it works:

Supply a reference image (or up to five) through the image or images parameter alongside a text prompt. OpenClaw routes the request to your configured provider and returns the edited result as a media attachment in the conversation.

Default provider chain: OpenAI gpt-image-2 as primary, with fallbacks to OpenRouter (Google Gemini), Google Gemini direct, and fal (Flux). You can override this in your agent configuration.

Supported operations:

• Reference-based editing via text prompt
• Multiple reference image composition (up to 5 images on supporting providers)
• Custom output size, aspect ratio, quality, and format (PNG, JPEG, WebP)
• Transparency support on compatible providers
• Batch generation (1-4 outputs per request)

The built-in tool covers basic editing tasks well. Where it falls short is specialized operations: there is no dedicated inpainting mask support, no vectorization, no face swap, and no batch processing pipeline. For those, you need the third-party skills listed above.

Best for: Quick edits and prototyping when you do not want to install additional skills. Also useful as a fallback when a third-party skill's API is down.

After your agent generates or edits images, you need somewhere to store and organize the results. Local filesystems work for personal projects, but teams sharing edited assets across agents and humans need persistent storage. Fast.io workspaces give your agent 50GB of free cloud storage with built-in file versioning, audit trails, and the ability to hand off completed assets to a human reviewer. The Fast.io OpenClaw skill connects your agent to workspaces where edited images are automatically organized, searchable through Intelligence Mode, and shareable through branded links.