Agent skill · creative production · aiskillstore
image-inpainting
Mask-driven image inpainting on RunComfy via the `runcomfy` CLI. Routes to Tongyi MAI Z-Image Turbo Inpainting (the dedicated inpainting endpoint with mask, strength, and control-scale) and to identity-preserving edit models (Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro) when a mask isn't available and the region must be described instead. Use for object removal, watermark removal, region replacement, blemish cleanup, and any controlled local edit where a binary mask defines the target area. Triggers on "inpaint", "inpainting", "image inpaint", "remove from image", "fill region", "mask-driven edit", "remove watermark", "remove object", "patch the photo", "fill the hole", or any explicit ask to edit a specific masked region of a still.
Why this skill is useful
Adds specific commands for mask-driven image inpainting using the RunComfy CLI, which the AI wouldn't reliably generate on its own.
What it needs
Requires @runcomfy/cli installed locally. Requires runcomfy account access. About 5k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Image Inpainting Mask-driven region edits — remove objects, fill gaps, replace masked areas — on RunComfy via the runcomfy CLI. This skill routes to Z-Image Turbo Inpainting when a mask is available, and to instruction-driven edit models when the region must be described in prose. runcomfy.com · Z-Image Inpainting · CLI docs Powered by the RunComfy CLI CLI deep dive: runcomfy-cli skill. --- Pick the right model Listed by precision of region targeting (mask-required first, then description-based). Z-Image Turbo Inpainting — tongyi-mai/z-image/turbo/inpainting (default — mask required) Dedicated inpainting endpoint with mask, strength, and control-scale. Open-weights, sub-second to a few seconds. Pick for: precise region edits with a binary mask — object removal, watermark cleanup, full-region replacement. Avoid for: edits without a mask — use Nano Banana 2 Edit (description-based). Z-Image Turbo Inpainting LoRA — tongyi-mai/z-image/turbo/inpainting/lora Inpainting endpoint with LoRA adapter support — apply a fine-tuned style during inpainting. Pick for: brand-style-locked inpainting (LoRA captures the look, mask defines the region). Avoid for: generic inpainting — use the base inpainting endpoint. Nano Banana 2 Edit — google/nano-banana-2/edit (description-based fallback) Identity-preserving edit driven by spatial language ("the watermark in the bottom-right", "the cables overhead"). No mask required. Pick for: when no mask is available and the region can be described. Avoid for: precise pixel-level region edges — use Z-Image Inpainting. GPT Image 2 Edit — openai/gpt-image-2/edit Multi-ref edit with layout-precise instructions; honors "remove only the X" directives. Pick for: complex prompt + reference composition where the masked region needs context from other images. Avoid for: simple single-image mask-driven jobs — use Z-Image Inpainting. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/image-inpainting