A professional-grade orchestration skill for generating AI videos, images, and style transfers via the Chenyu Studio API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install chenyu-aigc
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 chenyu-aigc 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 Chenyu AIGC: AI Video and Image Generation?
Chenyu AIGC is a comprehensive multimedia generation tool designed for the Openclaw Skills ecosystem. It provides a unified interface to interact with advanced AI models for creating cinematic videos from text, transforming static images into dynamic video content, and generating high-fidelity AI images. By leveraging the Chenyu Studio AIGC orchestration API, this skill simplifies the complex process of video synthesis and image generation into a predictable, schema-driven workflow.
This skill is particularly valuable for developers building automated content pipelines or AI agents that need to produce visual assets on demand. It supports a wide range of tasks including video extension, remixing, and style transfers, all while providing detailed metadata regarding credit costs and model parameters.
Chenyu AIGC: AI Video and Image Generation Use Cases
- Creating marketing or social media videos from simple text prompts.
- Converting product photos into engaging image-to-video promotional content.
- Automated generation of AI-driven stock imagery for web development.
- Extending existing video clips or applying artistic style transfers to video assets.
- Batch processing of creative tasks with automated status monitoring and asset retrieval.
How Chenyu AIGC: AI Video and Image Generation Works
- The skill queries the Chenyu API to list available recipes, which represent different AI model capabilities and output types.
- It retrieves the specific JSON schema for a chosen recipe to identify mandatory inputs, optional parameters, and associated credit costs.
- The user or agent submits an execution request containing the prompt, source assets, and configuration parameters.
- The skill initiates a generation task and provides a unique task identifier for tracking.
- Through an automated polling mechanism, the skill monitors the task status until the generation is complete and the final media URL is available.
Chenyu AIGC: AI Video and Image Generation Setup
To integrate this capability into your Openclaw Skills environment, configure the required environment variables and ensure system dependencies are met.
# Set required environment variables
export CHENYU_API_KEY="your_secret_api_key"
export CHENYU_BASE_URL="https://chenyu.pro"
# Ensure dependencies are installed (macOS/Linux)
# Requires: curl, jq, uuidgen, base64
Chenyu AIGC: AI Video and Image Generation Data Schema & Taxonomy
The skill utilizes a structured data approach to manage the lifecycle of AIGC tasks. Data is organized into recipes and task metadata for clear tracking within Openclaw Skills.
| Object | Key Fields | Description |
|---|---|---|
| Recipe | recipe_id, slug, output_type |
Defines the AI model and output format (video/image). |
| Schema | typed_inputs_schema, parameters_schema |
Detailed validation rules for inputs and generation settings. |
| Task | task_id, status, credit_cost |
Tracking information for active and completed generation jobs. |
Chenyu AIGC: AI Video and Image Generation Advanced Features
- Dynamic recipe discovery to support new AI models as they are released to the Chenyu platform.
- Granular parameter control allowing for fine-tuning of frame rates, resolution, and model-specific seeds.
- Comprehensive credit cost management to track resource usage across different Openclaw Skills workflows.
- Support for multi-frame input pipelines, enabling complex video-to-video and video extension tasks.
- Robust error handling and task cancellation capabilities for optimized workflow management.
SKILL.md
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