A comprehensive AI drawing and generation skill aggregating top Bilibili video-learned workflows for Stable Diffusion, ComfyUI, Midjourney, and Kling AI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-ddcd9b
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-ddcd9b 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 AI Painting and Image Generation Suite (ai绘画-ddcd9b)?
The AI Painting skill (ai绘画-ddcd9b) is a powerful, crowd-sourced repository of knowledge, tools, and workflows curated from top-tier Bilibili tutorials. By integrating multiple highly rated guides, it provides users with an all-in-one resource for mastering AI art tools like Stable Diffusion, ComfyUI, Midjourney, NovelAI3, and Kling AI 3.0 Omni. As part of the Openclaw Skills ecosystem, it bridges the gap between theoretical video tutorials and practical, local, or cloud-based execution. This skill is designed to help digital creators, developers, and designers automate, learn, and iterate on advanced AI-assisted graphic workflows.
Through this integrated skill, users can quickly learn how to set up local environments (such as Intel GPU launchers with IPEX), deploy one-click installers, generate consistent characters, use infinite canvases, and even hide text in optical illusions using control networks. It acts as a cognitive assistant that triggers when you ask about AI drawing, specific video tutorials, or advanced image generation methods.
AI Painting and Image Generation Suite (ai绘画-ddcd9b) Use Cases
- Deploying local Stable Diffusion environments on Intel GPUs using Qiuye Launcher and IPEX.
- Generating consistent characters and video-audio synchronization using Kling AI 3.0 Omni.
- Designing hidden text illusions using Stable Diffusion lighting and shadow control.
- Accessing Bilibili tutorials (108-episode courses) directly from your agent to master Midjourney and ComfyUI.
- Creating infinite canvas setups using Runninghub and NovelAI for high-resolution storytelling panels.
How AI Painting and Image Generation Suite (ai绘画-ddcd9b) Works
- Trigger the skill within the Openclaw Skills environment by querying terms like AI Painting (AI绘画), ComfyUI, Stable Diffusion, or specific creator tags.
- The agent processes your query against the integrated knowledge base, which merges resources from top creators (such as @comfyui, @AI动漫果果, and @痕迹痕迹).
- Retrieve specific instructions for your hardware setup, whether using NVIDIA or Intel-specific IPEX packages.
- Follow step-by-step guidance for advanced techniques like text-image merging, character consistency workflows, and video generation pipelines.
- Execute or practice the techniques using the provided reference source links to Bilibili video tutorials.
AI Painting and Image Generation Suite (ai绘画-ddcd9b) Setup
Setting up the Openclaw Skills integration for AI Painting is straightforward. Follow these steps to configure your environment:
- Ensure you have the
opencodecompatibility environment installed. - Execute the skill installation inside your workspace:
# Install the AI Painting skill suite
openclaw install ai-painting-ddcd9b
- If you are deploying Stable Diffusion locally on an Intel GPU, ensure you have the IPEX packages and Qiuye Launcher configured:
# Sample verification script for IPEX runtime
python -c "import torch; import intel_extension_for_pytorch as ipex; print(ipex.__version__)"
- For cloud workflows like Runninghub or NovelAI, configure your API keys or access tokens as specified by the respective platform.
AI Painting and Image Generation Suite (ai绘画-ddcd9b) Data Schema & Taxonomy
The skill organizes its learning resources, video tutorials, and technical configurations as structured metadata within the Openclaw Skills registry. The following table describes the main components:
| Attribute | Description | Examples / Sources |
|---|---|---|
| Core Tooling | Local or cloud generation engines | Stable Diffusion, ComfyUI, Midjourney, Kling AI, NovelAI3 |
| Hardware Opt | Launcher integrations | Intel IPEX, Qiuye Launcher |
| Workflows | Specific design pipelines | Hidden text, character consistency, infinite canvas |
| Creator Index | Bilibili source tutorials | @comfyui, @痕迹痕迹, @AI动漫果果 |
All external references to video guides are mapped to direct Bilibili URLs (e.g., https://www.bilibili.com/video/BV1oQGb6VEbQ) for immediate learning.
AI Painting and Image Generation Suite (ai绘画-ddcd9b) Advanced Features
- Multi-source video synthesis aggregating Bilibili tutorials across multiple years (up to 2026 update cycles).
- Hardware-specific setups including Intel GPU optimizations (IPEX) and standard NVIDIA pipelines.
- Omni-generation workflows bridging the gap between text-to-image (Stable Diffusion) and video-to-audio synchronization (Kling AI).
- Optical illusion control pipelines enabling users to precisely manipulate lighting, shadows, and text integration within images.
- Infinite canvas configurations using Runninghub for collaborative, multi-character manga and scene layouts.
SKILL.md
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