Wan 3.0 Prime API — Python Wrapper

A focused Python SDK and MCP server for the Wan 3.0 Prime API on MuAPI — the higher-fidelity tier of Wan 3.0, targeting sharper detail and steadier motion at a higher per-second price. It supports text-to-video, image-to-video, multimodal reference-to-video (up to 10 reference images, 5 reference videos, and 5 reference audios), synchronized audio, file upload, and asynchronous job polling.

Related Projects

• Wan 3.0 Prime on MuAPI — Model landing page for the Wan 3.0 and Wan 3.0 Prime video-generation tiers.

• Wan 3.0 Prime Text to Video playground — Try the model in the browser.

• MuAPI API reference — Endpoint and prediction lifecycle documentation.

• Wan-3.0-API — The standard-tier Wan 3.0 Python SDK and MCP server this repo mirrors.

• wan-3.0-comfyui — ComfyUI custom nodes for Wan 3.0 via MuAPI.

• awesome-ai-video-models — compare AI video models by API, price, and speed.

• Open-Generative-AI — open-source AI media studio for image and video workflows.

• Seedance-2-API — Python SDK for ByteDance Seedance video generation.

• Veo-4-API — Python SDK for Google Veo AI video generation.

• Flux-3-Dev-API — Python SDK for FLUX 3 image and video generation.

• Generative-Media-Skills — agent-ready skills for automated media workflows.

• muapi-cli — command-line access to MuAPI image, video, and audio models.

Related MCP server: NoLang MCP Server

Install

git clone https://github.com/Anil-matcha/Wan-3.0-Prime-API.git
cd Wan-3.0-Prime-API
pip install -r requirements.txt
cp .env.example .env

Set MUAPI_API_KEY in .env. Set WAN_PRIME_API_BASE_URL only if you use a compatible provider other than the default MuAPI base URL.

Quick start

from wan_api import WanPrimeAPI

api = WanPrimeAPI()
job = api.text_to_video(
    "A cinematic tracking shot of a red fox crossing a snowy forest at sunrise",
    resolution="720p",
    aspect_ratio="16:9",
    duration=5,
)

result = api.wait_for_completion(job["request_id"])
print(result)

Image to video

job = api.image_to_video(
    prompt="The subject turns toward camera as a gentle breeze moves their hair.",
    image_url="https://example.com/reference.jpg",
    aspect_ratio="9:16",
    duration=5,
)

Reference to video

job = api.reference_to_video(
    prompt="The person from the reference image walks into the room shown in the reference video.",
    images_list=["https://example.com/character.jpg"],
    videos_list=["https://example.com/room.mp4"],
    resolution="720p",
    duration=5,
)

API surface

Every method also accepts resolution (480p, 720p, 1080p), duration (2-30 seconds), thinking_mode (deeper reasoning for complex prompts), enable_audio, and seed.

Wan 3.0 Prime vs. standard Wan 3.0

Wan 3.0 Prime exposes the exact same request shape as standard Wan 3.0 — the same prompt, resolution, aspect_ratio, duration, thinking_mode, enable_audio, and seed parameters across text-to-video, image-to-video, and reference-to-video — just pointed at the wan3.0-prime-* endpoints instead of wan3.0-*. Use it for hero content, client deliverables, and campaign finals where the extra sharpness and motion consistency are worth the higher rate; use Wan-3.0-API for everyday generations.

Indicative MuAPI pricing (per second of output, billed by resolution and duration):

MCP server

Expose Wan Prime tools to MCP-capable clients:

python mcp_server.py

The server provides text_to_video, image_to_video, reference_to_video, and get_task_status tools.

Endpoint compatibility

The client uses the wan3.0-prime-text-to-video, wan3.0-prime-image-to-video, and wan3.0-prime-reference-to-video paths beneath WAN_PRIME_API_BASE_URL. If your provider names its endpoints differently, pass that provider's compatible base URL or adapt the small client module before use.

License

MIT