MiniMax Image Generation for Openclaw

A professional-grade image generation skill that transforms text descriptions into high-fidelity visual assets using the MiniMax image-01 model.

asimons81
v1.0.1
Mar 23, 2026
1
874
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install minimax-imagegen

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install minimax-imagegen using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is MiniMax Image Generation?

The MiniMax Image Generation skill is a specialized visual design engine for Openclaw Skills designed to act as a professional prompt engineer and designer. It bridges the gap between simple user requests and the complex requirements of high-end image models, ensuring that every output is contextually relevant, aesthetically polished, and technically precise. Whether you need a hero image for a developer portfolio or a vibrant app icon, this skill automates the heavy lifting of composition, lighting, and style selection.

By leveraging the MiniMax image-01 model, the skill provides expert-level control over photography styles, cinematic lighting, and modern tech aesthetics. It is particularly effective for developers and content creators who need consistent, high-quality imagery for web projects, marketing materials, and UI mockups without needing to manually tune every parameter.

MiniMax Image Generation Use Cases

  • Creating editorial hero images and banners for tech review websites like tonyreviewsthings.com.
  • Generating dark-themed, modern developer portfolio visuals for tonysimons.dev.
  • Designing high-resolution app store screenshots, UI mockups, and software marketing assets.
  • Producing brand-consistent characters and portraits using subject reference tools.
  • Rapidly iterating on social media thumbnails and creative graphic assets.

How MiniMax Image Generation Works

  1. Request Analysis: The skill identifies the subject, mood, style cues, and technical constraints such as dimensions or platform requirements.
  2. Prompt Engineering: It constructs a rich, precise prompt using a formulaic approach covering subject, context, style, lighting, and quality boosters.
  3. Parameter Mapping: It selects the optimal aspect ratio (e.g., 16:9 for blogs, 1:1 for icons) and image count based on the intended use case.
  4. Model Execution: The tool calls the MiniMax image-01 API to generate the visual assets.
  5. Workspace Integration: Generated files are saved to the local workspace and reported back with the full prompt for easy refinement.

MiniMax Image Generation Setup

To enable this skill, ensure your environment is configured with your MiniMax API credentials:

export MINIMAX_API_KEY='your_api_key_here'

The skill will automatically utilize this key to authenticate requests to the image-01 model within Openclaw Skills.

MiniMax Image Generation Data Schema & Taxonomy

The skill organizes its output and tracking through the following structures:

Data Component Format Description
Storage Path ~/.openclaw/workspace/images/ Default directory for all generated .png or .jpg files
Model Parameters JSON Includes model, prompt, aspect_ratio, and n
Reference Links URI/Base64 Support for subject_reference to maintain character consistency
Prompt History Markdown Full history of engineered prompts and quality boosters provided for iteration

MiniMax Image Generation Advanced Features

  • Subject Reference Consistency: Use existing image files to maintain a consistent character or brand mascot across multiple generations.
  • Project-Specific Presets: Built-in style suffixes for specialized projects like developer portfolios and tech blogs.
  • Granular Composition Control: Explicit mapping for rule of thirds, anamorphic bokeh, and glassmorphism aesthetics.
  • Smart Prompt Refinement: Strategic iteration paths that adjust only specific style or composition variables rather than starting from scratch.
  • Prompt Optimization Toggle: Ability to hand off enhancement to the MiniMax engine or maintain strict manual control over the prompt engineering process.

SKILL.md


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