A comprehensive AIGC client for generating high-resolution AI images and videos using models like Seedream and Kling within the Openclaw ecosystem.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hidream-api-gen
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 hidream-api-gen 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 HD AIGC Skills?
HD AIGC Skills provides a professional-grade interface for AI agents to interact with top-tier generative models. By integrating this skill into your workflow, you gain access to powerful image and video generation capabilities from the Vivago platform. This implementation of Openclaw Skills handles the heavy lifting of API authentication, parameter validation, and file management, allowing developers to focus on creative output rather than infrastructure.
The skill acts as a bridge between local environments and cloud-based AI models, offering robust scripts for models such as Sora 2 Pro, Kling, and Seedream M2. As a key component of Openclaw Skills, it ensures that media generation is both secure and efficient, following best practices for credential handling and data persistence.
HD AIGC Skills Use Cases
- Creating high-resolution marketing imagery using the Seedream M2 model.
- Generating cinematic short-form videos with Kling or Sora 2 Pro directly from text prompts.
- Automating the creation of visual assets for social media or presentations via AI coding agents.
- Building custom creative pipelines that require programmatic access to state-of-the-art AIGC models.
How HD AIGC Skills Works
- The skill initializes by verifying the HIDREAM_AUTHORIZATION token from local environment files or configuration settings.
- When a generation request is received, the script validates specific model parameters like resolution and duration to prevent API errors.
- The request is dispatched to the Vivago API via a shared task client designed for Openclaw Skills integration.
- The system polls the API status until the image or video generation task is complete.
- Once finished, the skill automatically downloads the media and saves it to a local assets directory for easy access and display.
HD AIGC Skills Setup
To get started with this skill, you need to configure your authorization token and install the necessary dependencies for Openclaw Skills functionality.
# Install the required Python library
pip install requests
# Set your API token (Recommended method)
echo "HIDREAM_AUTHORIZATION=sk-your-token-here" > ~/.openclaw/.env
# Alternatively, run the configuration script
python3 scripts/configure.py
HD AIGC Skills Data Schema & Taxonomy
The skill manages data and configuration through a structured file system approach to ensure consistency within Openclaw Skills environments.
| Item | Path / Location | Purpose |
|---|---|---|
| Config File | ~/.config/openclaw/hidream_config.json |
Stores API tokens and endpoints with secure permissions. |
| Environment | ~/.openclaw/.env |
Primary source for authorization credentials. |
| Media Assets | ./assets/ |
Local storage for all generated image and video files. |
| Shared Logic | scripts/common/ |
Contains base runners for image, video, and task polling. |
HD AIGC Skills Advanced Features
- Multi-model video support including Kling, Sora 2 Pro, Seedance, and Minimax Hailuo.
- High-resolution validation for Seedream M2 to ensure output quality meets platform requirements.
- Secure credential management using 0600 file permissions to protect API keys.
- Unified Python interface allowing for programmatic execution within larger Openclaw Skills automation scripts.
- Automated local asset management to bypass workspace permission restrictions.
SKILL.md
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