A technical framework for achieving character consistency in AI-generated art using reference sheets and LoRA integration.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install character-design-sheet
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install character-design-sheet using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill provides a comprehensive methodology for maintaining character consistency across multiple AI-generated images. By leveraging the inference.sh CLI and the FLUX LoRA model, creators can build detailed character bibles that include turnaround views, expression sheets, and precise color palettes. It solves the primary challenge in AI art: the visual drift that occurs when trying to recreate the same person or entity in different scenes.
Using Openclaw Skills, developers and artists can implement the Description Anchor technique or train dedicated LoRA models to ensure every generation matches their original vision. This approach is essential for professional workflows in game development, illustration, and animation where visual continuity is non-negotiable.
To get started with this skill from the Openclaw Skills collection, install the inference.sh CLI:
curl -fsSL https://cli.inference.sh | sh && infsh login
Once installed, you can begin generating character components using the FLUX LoRA application:
infsh app run falai/flux-dev-lora --input '{\n "prompt": "character design, front view, young woman with short red hair...",\n "width": 1024,\n "height": 1024\n}'
The skill organizes character data into structured reference components to ensure reproducibility across Openclaw Skills workflows.
| Component | Format | Description |
|---|---|---|
| Reference Sheet | Image (PNG/JPG) | A horizontal or grid-based composite of different character angles. |
| Character Bible | Markdown | A text file containing the exact Description Anchor and hex color codes. |
| LoRA Weights | .safetensors | Trained model files used to inject specific character features into the diffusion process. |
| Color Palette | Metadata/JSON | A list of Hex codes for skin, hair, and clothing consistency. |
Loading
An AI-driven writing framework that automates B2B case study creation using the STAR method, data visualization, and deep industry research.

A comprehensive technical framework for creating genre-appropriate book covers using AI image generation and professional design standards.

A CLI-powered skill for high-accuracy image background removal and transparent PNG generation using BiRefNet and Reve models.

A high-performance AI workflow for generating platform-compliant app store screenshots, device mockups, and preview videos for ASO optimization.

A modular suite of React and Next.js building blocks for creating polished AI chat interfaces and messaging systems.

A structured framework for automated competitive intelligence, providing deep-dive analysis into product features, pricing, and market positioning.








































