kling_image_o1

Name: kling_image_o1
Availability: InStock
Author: SeaCloudAI

Generate Kling images from prompts and reference images via SeaCloud CLI.

1|Updated Apr 11, 2026

Search Tags:#cli #image-generation #reference-images #prompt-editing #kling #kirin_image_omni

Ready to run

npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill kling-image-o1

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: kling_image_o1
Source: https://github.com/SeaCloudAI/seacloud-cli/tree/main/skills/image/kling_image_o1
Command: npx skills add https://github.com/SeaCloudAI/seacloud-cli --skill kling-image-o1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Kling image work often requires premium polish across multiple inputs, including prompts and reference images; this skill streamlines high-end generation and precise editing through Kirin Image Omni via SeaCloud CLI.

Core Features & Use Cases

Premium multi-input Kling image generation: combine prompts with one or more reference images for refined visuals.
Prompt-based editing: adjust visuals with targeted refinements.
CLI-driven workflow: integrates into automated pipelines and agent tasks.

Quick Start

Invoke kling_image_o1 with your prompt and optional reference images to produce a premium Kling image.

Frequently Asked Questions about kling_image_o1

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

FAQPage Schema

How do I generate Kling images using multiple reference images?▼

To generate Kling images using multiple reference images, you combine text prompts with one or more reference images. This skill leverages the Kirin Image Omni model via the SeaCloud CLI for high-end visual polish and precise control over inputs.

What is prompt-based editing for premium image generation?▼

Prompt-based editing for premium image generation allows you to adjust visuals with targeted refinements. It uses the Kirin Image Omni model to apply specific text prompt modifications to existing images or concepts.

Does the SeaCloud CLI support automated image generation pipelines?▼

Yes, the SeaCloud CLI supports automated image generation pipelines. It enforces safe CLI parameter mapping with dry-run validation, error handling, and deterministic execution to ensure reliable automated workflows.

Can I use Kling image generation for concept art and advertising visuals?▼

You can use Kling image generation for concept art and advertising visuals. It applies high-end visual polish and precise control over inputs, making it suitable for creative production scenarios like editorial illustrations.

What are the limitations of using the Kirin Image Omni model via CLI?▼

The limitations of using the Kirin Image Omni model via CLI include the requirement for live model specs and safe CLI parameter mapping. It enforces deterministic execution, meaning strict parameter validation and error handling apply.

Why does CLI command translation require live JSON for image generation?▼

CLI command translation requires live JSON for image generation to ensure safe parameter mapping and deterministic execution. It supports command translation from live JSON to maintain accurate model specs during runtime.