curl --request POST \
  --url https://api.acedata.cloud/midjourney/imagine \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "mask": "<string>",
  "mode": "fast",
  "action": "generate",
  "prompt": "A cat sitting on a table",
  "timeout": 480,
  "image_id": "<string>",
  "translation": false,
  "callback_url": "<string>",
  "async": true,
  "split_images": false,
  "version": "<string>",
  "hd": false,
  "quality": "1",
  "style_reference": false,
  "moodboard": false
}
'

import requests

url = "https://api.acedata.cloud/midjourney/imagine"

payload = {
    "mask": "<string>",
    "mode": "fast",
    "action": "generate",
    "prompt": "A cat sitting on a table",
    "timeout": 480,
    "image_id": "<string>",
    "translation": False,
    "callback_url": "<string>",
    "async": True,
    "split_images": False,
    "version": "<string>",
    "hd": False,
    "quality": "1",
    "style_reference": False,
    "moodboard": False
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    mask: '<string>',
    mode: 'fast',
    action: 'generate',
    prompt: 'A cat sitting on a table',
    timeout: 480,
    image_id: '<string>',
    translation: false,
    callback_url: '<string>',
    async: true,
    split_images: false,
    version: '<string>',
    hd: false,
    quality: '1',
    style_reference: false,
    moodboard: false
  })
};

fetch('https://api.acedata.cloud/midjourney/imagine', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

{
  "actions": [
    "upscale1",
    "upscale2",
    "upscale3",
    "upscale4",
    "reroll",
    "variation1",
    "variation2",
    "variation3",
    "variation4"
  ],
  "success": true,
  "task_id": "27a1128f-14b5-440e-a82d-510c81e6fcd4",
  "image_id": "1211290228438868029",
  "progress": 100,
  "image_url": "https://midjourney.cdn.acedata.cloud/attachments/1219474225119887443/1211290228438868029/lwilson_A_cat_sitting_on_a_table_id2079872_dbe8e8a2-cec8-4e54-bd9d-4c2f8bfb919f.png?ex=65eda8ef&is=65db33ef&hm=2cec373068f121f3d2ecf43280810fe17b641527b87716e100401d299c8e0845&width=1024&height=1024",
  "image_width": 1024,
  "image_height": 1024,
  "raw_image_url": "https://midjourney.cdn.acedata.cloud/attachments/1219474225119887443/1211290228438868029/lwilson_A_cat_sitting_on_a_table_id2079872_dbe8e8a2-cec8-4e54-bd9d-4c2f8bfb919f.png?ex=65eda8ef&is=65db33ef&hm=2cec373068f121f3d2ecf43280810fe17b641527b87716e100401d299c8e0845&",
  "raw_image_width": 2048,
  "raw_image_height": 2048
}

{
  "error": {
    "code": "bad_request",
    "message": "The json payload is not valid to request the API"
  },
  "trace_id": "2efa9340-b21b-4e26-9e14-4aac95f343ab"
}

{
  "error": {
    "code": "invalid_token",
    "message": "The specified token is invalid or wrong."
  },
  "trace_id": "2efa9340-b21b-4e26-9e14-4aac95f343ab"
}

{
  "error": {
    "code": "forbidden",
    "message": "Sorry! Our Al moderators feel your prompt might be against our community standards."
  },
  "trace_id": "2efa9340-b21b-4e26-9e14-4aac95f343ab"
}

{
  "error": {
    "code": "too_many_requests",
    "message": "You have exceeded the rate limit."
  },
  "trace_id": "2efa9340-b21b-4e26-9e14-4aac95f343ab"
}

{
  "error": {
    "code": "api_error",
    "message": "Internal server error."
  },
  "trace_id": "2efa9340-b21b-4e26-9e14-4aac95f343ab"
}

{
  "error": {
    "code": "timeout",
    "message": "Timeout to generate the image."
  },
  "trace_id": "2efa9340-b21b-4e26-9e14-4aac95f343ab"
}