image-edit

Name: image-edit
Availability: InStock
Author: doany

Route image edits to the best RunComfy model and download results.

5|2|Updated May 18, 2026

Search Tags:#composition #masking #inpainting #model-routing #identity-preservation #image-edit #photo-editing

Ready to run

npx skills add https://github.com/doany-ai/skills --skill image-edit-doany-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: image-edit
Source: https://github.com/doany-ai/skills/tree/main/image-edit
Command: npx skills add https://github.com/doany-ai/skills --skill image-edit-doany-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Edit images efficiently by routing to the right editing model in RunComfy based on user intent, preserving subject identity while applying the requested changes.

Core Features & Use Cases

Model routing: automatically selects the best model (Nano Banana Edit, GPT Image 2 Edit, Flux Kontext Pro, or Z-Image Turbo Inpaint) for batch edits, multilingual text rewrites, precise local edits, or mask-driven replacements.
End-to-end workflow: supplied image URLs are passed to the RunComfy CLI to execute the edit and download results.
Use Case: A designer needs to batch-edit product photos with consistent aspect and background tweaks without manual model selection.

Quick Start

Edit the provided image(s) to preserve the subject identity while applying the requested changes.

Frequently Asked Questions about image-edit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I edit images while preserving subject identity during batch processing?▼

To edit images while preserving subject identity, the system routes requests to model-optimized workflows that automatically select the best-fitting model to apply changes without altering core features.

How do I choose the right model for masking and inpainting tasks?▼

You do not need to choose manually for masking and inpainting; the routing system evaluates your intent and automatically directs the request to the appropriate model, such as Z-Image Turbo Inpaint, for precise local edits.

Can I use local image URLs for photo-editing with RunComfy?▼

Yes, you can use image URLs for photo-editing with RunComfy. You provide the prompt and image URLs, and the RunComfy CLI executes the edit request and downloads the resulting files to a local output directory.

What is the best way to batch-edit product photos with consistent background tweaks?▼

The best way to batch-edit product photos with consistent background tweaks is using automated model routing. It dynamically selects the optimal edit model to process small batches while maintaining a consistent aspect and background.

Does this image-editing approach support multilingual text rewrites?▼

Yes, this image-editing approach supports multilingual text rewrites. The model routing system can direct your request to specialized models like GPT Image 2 Edit to handle multilingual text modifications within the image.

When should I not use automated model routing for image editing?▼

You should not use automated model routing for image editing if you require manual control over specific model parameters or if your workflow falls outside single-image edits or small batch processing supported by the CLI.