Image Inpainting

# 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](https://www.runcomfy.com/?utm_source=skills.sh&utm_medium=skill&utm_campaign=image-inpainting) · [Z-Image Inpainting](https://www.runcomfy.com/models/tongyi-mai/z-image/turbo/inpainting?utm_source=skills.sh&utm_medium=skill&utm_campaign=image-inpainting) · [CLI docs](https://docs.runcomfy.com/cli/introduction?utm_source=skills.sh&utm_medium=skill&utm_campaign=image-inpainting)

## Powered by the RunComfy CLI

```bash
# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli      # or:  npx -y @runcomfy/cli --version

# 2. Sign in
runcomfy login              # or in CI: export RUNCOMFY_TOKEN=<token>

# 3. Inpaint
runcomfy run tongyi-mai/z-image/turbo/inpainting \
  --input '{"image": "...", "mask_image": "...", "prompt": "..."}' \
  --output-dir ./out
```

CLI deep dive: [`runcomfy-cli`](https://www.skills.sh/agentspace-so/runcomfy-agent-skills/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`](https://www.runcomfy.com/models/tongyi-mai/z-image/turbo/inpainting/lora?utm_source=skills.sh&utm_medium=skill&utm_campaign=image-inpainting)
> 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.

**FLUX Kontext Pro** — `blackforestlabs/flux-1-kontext/pro/edit`
> Single-instruction local edit with maximum preservation of everything else.
> Pick for: "keep everything exce