PixVerse 6 Image to Video API: AI Image-to-Video

PixVerse 6 Image to Video API Reference

Endpoint

POST https://api.muapi.ai/api/v1/pixverse-v6-i2v

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 motion and content.
images_list	array	Yes	Upload or provide the input image to animate.
resolution	string	No	Output video resolution.Options: 360p, 540p, 720p, 1080pDefault: "720p"
duration	int	No	Video duration in seconds.Default: 5
thinking_type	string	No	Controls prompt enhancement. 'enabled' rewrites the prompt, 'disabled' uses it as-is, 'auto' lets the model decide.Options: auto, enabled, disabledDefault: "auto"
generate_audio_switch	boolean	No	Enable AI-generated audio for the video.Default: false

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/pixverse-v6-i2v \
  -H "x-api-key: $MUAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt":"<prompt>","images_list":[]}' | 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}/pixverse-v6-i2v", headers=headers, json={"prompt":"<prompt>","images_list":[]})
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.