Grok Imagine Text to Video API: AI Video Generation

Grok Imagine Text to Video API Reference

Endpoint

POST https://api.muapi.ai/api/v1/grok-imagine-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 prompt describing the video.
aspect_ratio	string	No	Aspect ratio of the output video.Options: 9:16, 16:9, 2:3, 3:2, 1:1Default: "2:3"
mode	string	No	Generation style: normal = standard output; fun = more creative/expressive; spicy = edgier content (text-to-video only).Options: fun, normal, spicyDefault: "normal"
resolution	string	No	Output video resolution.Options: 480p, 720pDefault: "480p"
duration	int	No	Video duration in seconds (6–30). Cost: $0.025/s at 480p, $0.05/s at 720p.Default: 6

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/grok-imagine-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}/grok-imagine-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.