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.

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

bash

# 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)

bash

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)

bash

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:

env

# 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.

Quick Start

1. List available models

bash

uv run python scripts/list_models.py

2. Check model parameters

bash

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

3. Generate content

Text-to-Video:

bash

uv run python models/alibaba/wan2.6-t2v/generation.py --prompt "A cat walking through a garden"

Text-to-Image:

bash

uv run python models/alibaba/wan2.6-t2i/generation.py --prompt "A serene mountain lake"

Image-to-Video:

bash

uv run python models/alibaba/wan2.6-i2v/generation.py --prompt "Gentle zoom in" --image "https://example.com/photo.jpg" #remote image url

bash

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.

bash

# 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

1. Check configuration: verify MULEROUTER_BASE_URL or 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

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