qwen_image_edit_plus

Edit high-fidelity images via SeaCloud CLI using the qwen_image_edit_plus model.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill qwen-image-edit-plus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qwen_image_edit_plus
Source: https://github.com/SeaCloudAI/seacloud-cli/tree/main/skills/image/qwen_image_edit_plus
Command: npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill qwen-image-edit-plus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Edit high-fidelity images using the qwen_image_edit_plus model via the SeaCloud CLI to perform precise edits, text replacements, and reference-guided retouching on your source images.

Core Features & Use Cases

  • High-fidelity edits, text replacement, and controlled retouching driven by multi-image references.
  • Use cases include marketing visuals, product shots, and presentation-ready edits with consistent styling.
  • Workflow guidance for premium-quality outputs with clear edit control and repeatable results.

Quick Start

Provide the source image(s) and describe the edits you want to apply to begin.

Frequently Asked Questions about qwen_image_edit_plus

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

FAQPage Schema
How do I perform high-fidelity image retouching using an AI model?

High-fidelity image retouching uses the qwen_image_edit_plus model via SeaCloud CLI to apply precise edits, text replacements, and reference-guided adjustments to your source images for polished marketing visuals.

Can I replace text in product shots using AI image editing?

Yes, AI image editing supports text replacement in product shots by providing the source image and describing the desired text edits to the qwen_image_edit_plus model for consistent, presentation-ready outputs.

How do I apply reference-driven visual changes to marketing visuals?

Reference-driven visual changes apply to marketing visuals by feeding multi-image references into the qwen_image_edit_plus model, ensuring controlled retouching and consistent styling across creative workflows.

What is the best way to start editing images with the qwen_image_edit_plus model?

The best way to start editing images is to provide your source image inputs and describe the specific edits you want to apply, allowing the model to generate premium-quality outputs with clear edit control.

Does this AI image editing workflow require specific input formats?

This AI image editing workflow requires alignment with the live JSON spec, handling image inputs and prompts, and following the SeaCloud CLI translation and validation steps described in the execution protocol.

Are there limitations when using AI models for controlled retouching?

Limitations for controlled retouching include the need to strictly align with the live JSON spec and follow the SeaCloud CLI validation steps to ensure repeatable, premium-quality results without misinterpreting edit prompts.