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Seedance 2.5 Omni Reference 480p API: AI Image-to-Video

Animate images to video with Seedance 2.5 Omni Reference 480p via the Muapi REST API. Pay per generation — no subscription needed.

Tutorial

Seedance 2.5 Omni Reference 480p API Reference

Endpoint

POST https://api.muapi.ai/api/v1/seedance-2.5-omni-reference-480p

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

NameTypeRequiredDescription
promptstringYesText prompt describing the desired video, referencing the provided images, video clips, and audio as environment, motion, and mood cues.
images_listarrayNoReference image URLs. Up to 30 images.
videos_listarrayNoReference video URLs. Up to 10 clips.
audios_listarrayNoReference audio URLs. Up to 10 files.
durationintNoThe duration of the generated video in seconds.Default: 5
aspect_ratiostringNoAspect ratio of the output video.Options: 16:9, 9:16, 1:1, 4:3, 3:4, 21:9, 9:21Default: "16:9"
seedintNoRandom seed for reproducible generation. Use -1 for random.
omni_reference_task_typestringNoHint for the omni-reference subtask type, so ratio/duration constraint mismatches are caught at submission time instead of failing asynchronously. auto lets the model infer the type from the prompt; reference has no special ratio/duration constraints; edit and extend both require ratio=adaptive (edit additionally requires duration=-1). The model still re-derives the actual task type from the prompt during processing, so a mismatch can still surface as an async error.Options: auto, reference, edit, extendDefault: "auto"
high_bitratebooleanNoEnable 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-2.5-omni-reference-480p \
  -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-2.5-omni-reference-480p", 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.