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Wan CLI

PyPI version PyPI downloads Python 3.10+ License: MIT

A command-line tool for AI video generation using Tongyi Wansiang through the AceDataCloud API.

Generate AI videos directly from your terminal — no MCP client required.

Features

  • Video Generation — Generate videos from text prompts with multiple models
  • Image-to-Video — Create videos from reference images
  • Multiple Models — wan2.6-t2v, wan2.6-i2v, wan2.6-i2v-flash, wan2.6-r2v, wan3.0-video
  • Task Management — Query tasks, batch query, wait with polling
  • Rich Output — Beautiful terminal tables and panels via Rich
  • JSON Mode — Machine-readable output with --json for piping

Quick Start

1. Get API Token

  1. Open Ace Data Cloud → Applications. Sign in, or register an account first.
  2. Find General application. If it has not been created, choose Initialize General Application. A general key can use the services available to your account; a dedicated application's key is limited to its service. Check the required service/model access and current pricing.
  3. Copy the API Key from the application card, or open Keys / Manage Keys → Create to create a separate key for this integration. Give it a recognizable name so you can revoke or rotate it independently.
  4. When creating a key, review Expiration Time, Set Usage Limitation, and Allowed APIs. Enable only the restrictions you need, allow the operations you will call, then click Create and copy the token from the key list. Task lookup does not grant permission to submit a generation. Confirm the application's balance can cover your first request; any trial allowance is whatever your account currently displays.
  5. Copy only the token value, without quotation marks, spaces, or Bearer . An API Key / API Token field expects this raw value; only a manually configured HTTP Authorization header needs the Bearer prefix. A platform-... account-management token cannot replace a generation API key.

Copy an application API key or open Manage Keys

Create a separately named key with optional restrictions

Save the key in the client's credential store or the environment variable shown below. Never put it in a prompt, shared workflow, screenshot, or Git commit. If authentication fails, check the full copied value, application/service access, expiration, usage limit, and balance before creating another key.

2. Install

# Install with pip
pip install wan-cli

# Or with uv (recommended)
uv pip install wan-cli

# Or from source
git clone https://github.com/AceDataCloud/WanCli.git
cd WanCli
pip install -e .

3. Configure

# Set your API token
export ACEDATACLOUD_API_TOKEN=your_token_here

# Or use .env file
cp .env.example .env
# Edit .env with your token

4. Use

# Generate a video from text
wan generate "Astronauts shuttle from space to volcano"

# Generate from reference image
wan image-to-video "Animate this scene" -i https://example.com/photo.jpg

# Check task status
wan task <task-id>

# Wait for completion
wan wait <task-id> --interval 5

# List available models
wan models

Commands

Command Description
wan generate <prompt> Generate a video from a text prompt
wan image-to-video <prompt> -i <url> Generate a video from a reference image
wan task <task_id> Query a single task status
wan tasks <id1> <id2>... Query multiple tasks at once
wan wait <task_id> Wait for task completion with polling
wan models List available Wan models
wan resolutions List available resolutions
wan config Show current configuration

Global Options

--token TEXT    API token (or set ACEDATACLOUD_API_TOKEN env var)
--version       Show version
--help          Show help message

Most commands support:

--json                        Output raw JSON (for piping/scripting)
--model TEXT                  Wan model version (default: wan2.6-t2v)
--resolution TEXT             Output resolution: 480P, 720P, 1080P
--duration TEXT               Duration in seconds: 2-30, or -1 for auto
--shot-type TEXT              Shot type: single, multi
--audio/--no-audio            Whether the video has sound
--prompt-extend/--no-prompt-extend  Enable prompt intelligent rewriting
--media TYPE=URL              Media item (repeatable)
--ratio TEXT                  Aspect ratio: adaptive, 16:9, 4:3, 1:1, 3:4, 9:16
--seed INTEGER                Random seed (0-2147483647)
--watermark/--no-watermark    Whether to add a watermark

Available Models

Model Type Notes
wan2.6-t2v Text-to-Video Text-to-video generation (default)
wan2.6-i2v Image-to-Video Image-to-video generation
wan2.6-i2v-flash Image-to-Video Flash Fast image-to-video generation
wan2.6-r2v Reference-to-Video Reference video-to-video generation
wan3.0-video Video Generation Wan 3.0 video generation

Configuration

Environment Variables

Variable Description Default
ACEDATACLOUD_API_TOKEN API token from AceDataCloud Required
ACEDATACLOUD_API_BASE_URL API base URL https://api.acedata.cloud
WAN_DEFAULT_MODEL Default model wan2.6-t2v
WAN_REQUEST_TIMEOUT Timeout in seconds 1800

Development

Setup Development Environment

git clone https://github.com/AceDataCloud/WanCli.git
cd WanCli
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev,test]"

Run Tests

pytest
pytest --cov=wan_cli
pytest tests/test_integration.py -m integration

Code Quality

ruff format .
ruff check .
mypy wan_cli

Docker

docker pull ghcr.io/acedatacloud/wan-cli:latest
docker run --rm -e ACEDATACLOUD_API_TOKEN=your_token \
  ghcr.io/acedatacloud/wan-cli generate "Astronauts shuttle from space to volcano"

Project Structure

WanCli/
├── wan_cli/                # Main package
│   ├── __init__.py
│   ├── __main__.py            # python -m wan_cli entry point
│   ├── main.py                # CLI entry point
│   ├── core/                  # Core modules
│   │   ├── client.py          # HTTP client for Wan API
│   │   ├── config.py          # Configuration management
│   │   ├── exceptions.py      # Custom exceptions
│   │   └── output.py          # Rich terminal formatting
│   └── commands/              # CLI command groups
│       ├── video.py           # Video generation commands
│       ├── task.py            # Task management commands
│       └── info.py            # Info & utility commands
├── tests/                     # Test suite
├── Dockerfile                 # Container image
├── deploy/                    # Kubernetes deployment configs
├── .env.example               # Environment template
├── pyproject.toml             # Project configuration
└── README.md

License

This project is licensed under the MIT License — see the LICENSE file for details.

Metadata

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