Wan 2.7 Reference to Video API: AI Image-to-Video

Wan 2.7 Reference to Video API Reference

Endpoint

POST https://api.muapi.ai/api/v1/wan2.7-reference-to-video

Submit a job with your MuApi API key in the x-api-key header, then poll https://api.muapi.ai/api/v1/predictions/{request_id}/result until status is completed.

Parameters

Name	Type	Required	Description
prompt	string	Yes	Text description of the desired motion and scene.
images_list	array	No	Array of reference image URLs (jpg/png). Max 4 items.
videos_list	array	No	Array of reference video URLs (mp4/mov). Max 4 items.
image_url	string	No	URL to a single reference image.
aspect_ratio	string	No	The aspect ratio of the generated video.Options: 16:9, 9:16, 1:1, 4:3, 3:4Default: "16:9"
resolution	string	No	Output resolutionOptions: 720p, 1080pDefault: "720p"
duration	int	No	Video duration in seconds (2-10).Default: 5
negative_prompt	string	No	What not to generate

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/wan2.7-reference-to-video \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"<prompt>"}' | jq -r .request_id)

curl -s https://api.muapi.ai/api/v1/predictions/$REQUEST_ID/result -H "x-api-key: $MUAPI_API_KEY"

Python example

import os, time, requests

API = "https://api.muapi.ai/api/v1"
headers = {"x-api-key": os.environ["MUAPI_API_KEY"]}

r = requests.post(f"{API}/wan2.7-reference-to-video", headers=headers, json={"prompt":"<prompt>"})
request_id = r.json()["request_id"]

while True:
    res = requests.get(f"{API}/predictions/{request_id}/result", headers=headers).json()
    if res["status"] == "completed":
        print(res["outputs"]); break
    if res["status"] == "failed":
        raise RuntimeError(res.get("error"))
    time.sleep(3)

Full docs and agent/MCP integration: llms.txt. Get an API key at muapi.ai/access-keys.