Gemini Omni Text to Video API: AI Video Generation

Gemini Omni Text to Video API Reference

Endpoint

POST https://api.muapi.ai/api/v1/gemini-omni-text-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 video content. Gemini Omni supports rich multimodal prompts including scene composition, camera direction, dialogue, and ambient audio cues.
duration	int	No	Duration of the generated video in seconds.Options: 4, 6, 8, 10Default: 8
resolution	string	No	Output video resolution. 720p and 1080p are the same price; 4K costs more.Options: 720p, 1080p, 4kDefault: "1080p"
aspect_ratio	string	No	Output video aspect ratio.Options: 16:9, 9:16Default: "16:9"
audio_ids	array	No	Up to 3 voice profile IDs returned by the Gemini Omni Audio endpoint.
seed	int	No	Random seed (0–2147483647). Fix for reproducibility; results may still vary due to model stochasticity.Default: 0
character_ids	array	No	Up to 3 character IDs from Gemini Omni Character to feature in the video.

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/gemini-omni-text-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}/gemini-omni-text-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.