Z Image P API: AI Image Generation

Z Image P API Reference

Endpoint

POST https://api.muapi.ai/api/v1/z-image-p

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 desired image content.
negative_prompt	string	No	The negative prompt for image generationDefault: ""
width	integer	No	Width of the output image.Default: 1024
height	integer	No	Height of the output image.Default: 1024
seed	int	No	Random seed for generation. Set to -1 for random.Default: -1
flow_shift	number	No	Increase if you get too many blurry/dark/bad images. Decrease to try increasing detail.Default: 3
batch_size	integer	No	Number of images to generate.Default: 1

cURL example

REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/z-image-p \
  -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}/z-image-p", 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.