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GitHub Skill

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 or Nano Banana.

aiskillstore☆ 124 Repository stars6 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

View source ↗Guides

Skill instructions

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_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

export MULEROUTER_SITE="mulerun"    # or "mulerouter"
export MULEROUTER_API_KEY="your-api-key"

Option B: Create .env file

Create .env in the current working directory:

MULEROUTER_SITE=mulerun
MULEROUTER_API_KEY=your-api-key

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.

Quick Start

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" --images '["https://example.com/photo.jpg"]'

Workflow

  1. Check configuration: verify MULEROUTER_SITE and MULEROUTER_API_KEY are set
  2. Install dependencies: run uv sync
  3. Run uv run python scripts/list_models.py to discover available models
  4. Run uv run python models/<path>/<action>.py --list-params to see parameters
  5. Execute with appropriate parameters
  6. Parse output URLs from results

Tips

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

References

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-28
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

GitHub ↗

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