Seedance 2 Mini Omni Reference API: AI Video Generation

Seedance 2 Mini Omni Reference API Reference

Endpoint

POST https://api.muapi.ai/api/v1/seedance-2-mini-omni-reference

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 prompt. Reference images with @image1..@image9, videos with @video1..@video3, audio with @audio1..@audio3.
images_list	array	No	Up to 9 reference images (JPEG/PNG/WebP). Referenced in prompt via @image1..@image9.
video_files	array	No	Up to 3 reference video clips (MP4, total max 15s). Referenced in prompt via @video1..@video3.
audio_files	array	No	Up to 3 reference audio files (MP3/WAV, total max 15s). Referenced in prompt via @audio1..@audio3.
aspect_ratio	string	No	Aspect ratio of the output video.Options: 16:9, 9:16, 1:1, 3:4, 4:3, 21:9Default: "16:9"
resolution	string	No	Output video resolution.Options: 480p, 720pDefault: "720p"
duration	int	No	Video duration in seconds.Default: 5
generate_audio	boolean	No	Whether to generate AI audio synchronized with the video.Default: true
high_bitrate	boolean	No	Enable high bitrate mode for better visual fidelity. Produces larger files.Default: false

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/seedance-2-mini-omni-reference \
  -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}/seedance-2-mini-omni-reference", 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.