First & Last Frame VIP 1080p API: AI Image-to-Video

First & Last Frame VIP 1080p API Reference

Endpoint

POST https://api.muapi.ai/api/v1/sd-2-vip-first-last-frame-1080p

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 guiding the transition between frames.
images_list	array	Yes	1 image = first frame only; 2 images = first and last frame. Use 'adaptive' aspect ratio to match the reference image geometry.
aspect_ratio	string	No	Output video aspect ratio. 'adaptive' matches the reference image (recommended); concrete ratios may crop or pad.Options: adaptive, 21:9, 16:9, 4:3, 1:1, 3:4, 9:16Default: "adaptive"
duration	int	No	Video duration in seconds.Default: 5
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/sd-2-vip-first-last-frame-1080p \
  -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}/sd-2-vip-first-last-frame-1080p", 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.