image-inpainting
🎯Skillfrom agentspace-so/runcomfy-agent-skills
|A Claude Code skill for mask-driven image inpainting via the RunComfy CLI, enabling object removal, watermark cleanup, and region replacement by routing to Z-Image Turbo Inpainting and instruction-driven edit models.
Overview
Image Inpainting is a Claude Code skill for mask-driven region editing on images via the RunComfy CLI. It routes to Tongyi MAI Z-Image Turbo Inpainting as the default when a binary mask is available, providing dedicated inpainting with mask, strength, and control-scale parameters. When no mask is available and the region must be described in prose, it routes to identity-preserving edit models including Nano Banana 2 Edit, GPT Image 2 Edit, and FLUX Kontext Pro. Use it for object removal, watermark removal, blemish cleanup, and any controlled local edit on still images.
Key Features
- Mask-based precision inpainting - Routes to Z-Image Turbo Inpainting (the default) for precise region edits using a binary mask, with adjustable strength and control-scale for fine-tuned results on object removal, watermark cleanup, and full-region replacement.
- LoRA-enhanced inpainting - Z-Image Turbo Inpainting LoRA variant applies fine-tuned styles during the inpainting process, enabling brand-consistent region edits.
- Description-based fallback - When no mask is available, routes to Nano Banana 2 Edit, GPT Image 2 Edit, or FLUX Kontext Pro for instruction-driven edits described in natural language.
- Multiple model tiers - From open-weights sub-second inpainting (Z-Image) to premium multi-reference editing (GPT Image 2), with the skill selecting the appropriate endpoint based on mask availability and quality requirements.
Who is this for?
- Photographers and designers who need to remove objects, watermarks, or blemishes from images with precise mask-based control
- E-commerce teams doing product photo cleanup and region-specific edits at scale through automated pipelines
- Developers building image editing tools who need a skill that selects the right inpainting model based on whether a mask or text description defines the target region
Same repository
agentspace-so/runcomfy-agent-skills(30 items)
Installation
npx vibeindex add agentspace-so/runcomfy-agent-skills --skill image-inpaintingnpx skills add agentspace-so/runcomfy-agent-skills --skill image-inpainting~/.claude/skills/image-inpainting/SKILL.mdSKILL.md
More from this repository10
A smart intent-routing skill for video editing on RunComfy that selects the best model based on the user's intent. Routes to Wan 2.7 Edit-Video for restyle and background swaps, Kling 2.6 Pro for precise motion transfer, or Lucy Edit for lightweight identity-stable restyle and outfit swaps.
A smart intent-routing skill for image-to-video generation on RunComfy that automatically selects the best model for the task. Routes to HappyHorse 1.0 I2V for general animations, Wan 2.7 for custom-voiceover lip-sync, or Seedance 2.0 Pro for multi-modal composition from image, video, and audio references.
A smart intent-routing skill for image editing on RunComfy that selects the best model based on the editing task. Routes to Nano Banana Edit for batch edits up to 20 images, GPT Image 2 for multilingual text rewrite, Flux Kontext Pro for single-shot precise edits, or Z-Image Turbo for mask-driven inpainting.
Edit images with Black Forest Labs' Flux 1 Kontext Pro on RunComfy, specializing in single-reference precise local edits with high-fidelity source preservation. Ideal for targeted changes like adding objects or modifying details while keeping the rest of the image unchanged.
A RunComfy skill that generates images using Google Nano Banana 2, the flash-tier text-to-image model in the Gemini family. Optimized for rapid iteration, social thumbnails, and in-image typography with configurable resolution tiers and safety tolerance.
Edit images with Google Nano Banana 2 on RunComfy, supporting batch edits of up to 20 images per call with strong identity preservation. Features localized edits using spatial language, background swaps, and configurable resolution up to 4K.
Generate text-to-video with HappyHorse 1.0 on RunComfy, currently ranked #1 on Artificial Analysis Video Arena. Supports native 1080p with in-pass synchronized audio, multi-shot character consistency, and 6-language prompt support via the RunComfy CLI.
Generate text-to-video with Wan-AI's Wan 2.7 on RunComfy, featuring multi-reference conditioning and audio-driven lip-sync via custom audio tracks. Supports prompt expansion, negative prompts, and up to 1080p resolution through the RunComfy CLI.
Generate cinematic short-form video with ByteDance Seedance 2.0 Pro on RunComfy, supporting multi-modal references including up to 9 images, 3 videos, and 3 audio tracks. Features native lip-synced audio generation and is ideal for brand-consistent multi-language narratives.
Edit images with OpenAI GPT Image 2 on RunComfy, excelling at multilingual in-image text editing across any script (Latin, kana, CJK, Cyrillic, Arabic) and multi-reference composition with up to 10 input images. Ideal for identity-preserving edits and layout-precise repositioning.