Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generates images and videos using MuleRouter or MuleRun multimodal APIs. Text-to-Image, Image-to-Image, Text-to-Video, Image-to-Video, video editing (VACE, keyframe interpolation). Use when the user wants to generate, edit, or transform images and videos using AI models like Wan2.6, Veo3, Nano Banana Pro, Sora2, Midjourney.
Generates images and videos using MuleRouter or MuleRun multimodal APIs. Text-to-Image, Image-to-Image, Text-to-Video, Image-to-Video, video editing (VACE, keyframe interpolation). Use when the user wants to generate, edit, or transform images and videos using AI models like Wan2.6, Veo3, Nano Banana Pro, Sora2, Midjourney.
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Generate images and videos using MuleRouter or MuleRun multimodal APIs.
Before running any commands, verify the environment is configured:
# Check environment variables echo "MULEROUTER_BASE_URL: $MULEROUTER_BASE_URL" echo "MULEROUTER_SITE: $MULEROUTER_SITE" echo "MULEROUTER_API_KEY: ${MULEROUTER_API_KEY:+[SET]}" # Check for .env file ls -la .env 2>/dev/null || echo "No .env file found"
Option A: Environment variables with custom base URL (highest priority) export MULEROUTER_BASE_URL="https://api.mulerouter.ai" # or your custom API endpoint export MULEROUTER_API_KEY="your-api-key" Option B: Environment variables with site (used if base URL not set) export MULEROUTER_SITE="mulerun" # or "mulerouter" export MULEROUTER_API_KEY="your-api-key" Option C: Create .env file Create .env in the current working directory: # Option 1: Use custom base URL (takes priority over SITE) MULEROUTER_BASE_URL=https://api.mulerouter.ai MULEROUTER_API_KEY=your-api-key # Option 2: Use site (if BASE_URL not set) # MULEROUTER_SITE=mulerun # MULEROUTER_API_KEY=your-api-key Note: MULEROUTER_BASE_URL takes priority over MULEROUTER_SITE. If both are set, MULEROUTER_BASE_URL is used. Note: The tool only reads .env from the current directory. Run scripts from the skill root (skills/mulerouter-skills/).
The skill uses uv for dependency management and execution. Make sure uv is installed and available in your PATH. Run uv sync to install dependencies.
uv run python scripts/list_models.py
uv run python models/alibaba/wan2.6-t2v/generation.py --list-params
Text-to-Video: uv run python models/alibaba/wan2.6-t2v/generation.py --prompt "A cat walking through a garden" Text-to-Image: uv run python models/alibaba/wan2.6-t2i/generation.py --prompt "A serene mountain lake" Image-to-Video: uv run python models/alibaba/wan2.6-i2v/generation.py --prompt "Gentle zoom in" --image "https://example.com/photo.jpg" #remote image url uv run python models/alibaba/wan2.6-i2v/generation.py --prompt "Gentle zoom in" --image "/path/to/local/image.png" #local image path
For image parameters (--image, --images, etc.), prefer local file paths over base64. # Preferred: local file path (auto-converted to base64) --image /tmp/photo.png --images ["/tmp/photo.png"] The skill automatically converts local file paths to base64 before sending to the API. This avoids command-line length limits that occur with raw base64 strings.
Check configuration: verify MULEROUTER_BASE_URL or MULEROUTER_SITE, and MULEROUTER_API_KEY are set Install dependencies: run uv sync Run uv run python scripts/list_models.py to discover available models Run uv run python models/<path>/<action>.py --list-params to see parameters Execute with appropriate parameters Parse output URLs from results
For an image generation model, a suggested timeout is 5 minutes. For a video generation model, a suggested timeout is 15 minutes.
REFERENCE.md - API configuration and CLI options MODELS.md - Complete model specifications
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