gpt_image_1_5_edit

Edit and polish a single image using the gpt_image_1_5_edit model via SeaCloud CLI.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill gpt-image-1-5-edit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpt_image_1_5_edit
Source: https://github.com/SeaCloudAI/seacloud-cli/tree/main/skills/image/gpt_image_1_5_edit
Command: npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill gpt-image-1-5-edit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Edit and polish a single source image using an AI-powered model via SeaCloud CLI to achieve higher quality edits and professional retouching.

Core Features & Use Cases

  • Advanced single-image editing with the gpt_image_1_5_edit model for refined results.
  • Stronger instruction following and cleaner, presentation-ready revisions for client work.
  • Use Case: transform a raw photo into a polished version suitable for publication or portfolio.

Quick Start

Provide the source image and run seacloud run gpt_image_1_5_edit with the appropriate parameters to generate a refined edit.

Frequently Asked Questions about gpt_image_1_5_edit

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

FAQPage Schema
How do I perform AI-assisted retouching on a single source image?

AI-assisted retouching on a single source image is done using the gpt_image_1_5_edit model via SeaCloud CLI, which applies high-quality parameter translations to generate client-ready polished revisions.

Can I use SeaCloud CLI to prepare a raw photo for publication?

Yes, SeaCloud CLI can prepare a raw photo for publication by running the gpt_image_1_5_edit model to transform the single source image into a presentation-ready, polished version for portfolios.

What is the best way to ensure deterministic execution for single-image editing?

The best way to ensure deterministic execution for single-image editing is to use the gpt_image_1_5_edit model through SeaCloud CLI, which enforces strict parameter translation from the live model specification.

Does the gpt_image_1_5_edit model support strict prompt following for commercial tasks?

Yes, the gpt_image_1_5_edit model supports strict prompt following for commercial tasks by applying stronger instruction adherence to deliver cleaner, presentation-ready revisions across creative workflows.

How does safe recovery work when image processing fails during retouching?

Safe recovery during image processing failures is handled through built-in recovery workflows in the SeaCloud CLI, ensuring that incomplete retouching tasks on the source image can safely resume or terminate.

Are there limitations when applying high-quality edits to a single image?

A key limitation is that this high-quality editing process is applicable strictly to a single source image, meaning it does not support batch processing or multi-image blending for commercial retouching tasks.