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Mulerouter

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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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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Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Manual review
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, SKILL.md, core/__init__.py, core/client.py, core/config.py, core/image.py

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 12 sections Open source page

MuleRouter API

Generate images and videos using MuleRouter or MuleRun multimodal APIs.

Configuration Check

Before running any commands, verify the environment is configured:

Step 1: Check for existing configuration

# 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"

Step 2: Configure if needed

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/).

Step 3: Using uv to run scripts

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.

1. List available models

uv run python scripts/list_models.py

2. Check model parameters

uv run python models/alibaba/wan2.6-t2v/generation.py --list-params

3. Generate content

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

Image Input

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.

Workflow

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

Tips

For an image generation model, a suggested timeout is 5 minutes. For a video generation model, a suggested timeout is 15 minutes.

References

REFERENCE.md - API configuration and CLI options MODELS.md - Complete model specifications

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Scripts2 Docs
  • SKILL.md Primary doc
  • README.md Docs
  • core/__init__.py Scripts
  • core/client.py Scripts
  • core/config.py Scripts
  • core/image.py Scripts