Midjourney & Suno

OpenPAI integrates Midjourney and Suno via Midjourney-Proxy / Plus and the Suno API, using an asynchronous task calling model.

Midjourney

Available model IDs

Model ID	Behavior
`mj_imagine`	Text-to-image, equivalent to Discord `/imagine`
`mj_upscale`	Upscale an image (U1-U4)
`mj_variation`	Variations (V1-V4)
`mj_zoom`	Zoom-out generation
`mj_blend`	Blend multiple images
`mj_describe`	Reverse-engineer a prompt

Async flow

Submit a task

POST /mj/submit/imagine returns result (the task ID).

Poll the task

GET /mj/task/{id}/fetch until status is SUCCESS or FAILURE.

Get the image

On success, the imageUrl field returns the 2×2 grid PNG link.

Follow-up actions (optional)

POST /mj/submit/change submits U/V/Reroll, passing taskId and action.

Example: text-to-image

curl https://openp.ai/mj/submit/imagine \
  -H "Authorization: Bearer $OPENPAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A futuristic cyberpunk city at night, neon lights, --ar 16:9 --v 6"
  }'

Response:

{ "code": 1, "description": "Submitted", "result": "1737200000000000" }

Poll:

curl https://openp.ai/mj/task/1737200000000000/fetch \
  -H "Authorization: Bearer $OPENPAI_API_KEY"

See the detailed Midjourney API docs.

Suno (music generation)

Available model IDs

Model ID	Type
`suno_v3.5`	Suno v3.5, up to 2 minutes
`suno_v4`	Suno v4
`udio_v1`	Udio v1 (if enabled)

Async flow

# 1. Submit a task
curl https://openp.ai/suno/submit/music \
  -H "Authorization: Bearer $OPENPAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "lo-fi hip hop, rainy night, female vocals, 90bpm",
    "tags": "lofi, hiphop, chill",
    "title": "Rainy Night",
    "model": "suno_v4",
    "make_instrumental": false
  }'

# 2. Poll
curl https://openp.ai/suno/fetch/{task_id} \
  -H "Authorization: Bearer $OPENPAI_API_KEY"

On success, audio_url in the response is a downloadable MP3 link and video_url is an animated video. See the detailed Suno API docs.

Billing notes

Midjourney and Suno are billed per task, unlike token-based models.
Failed tasks (upstream errors) are not billed.
Tasks the user cancels are settled by the resources already consumed.

The specific multipliers shown in Console → Models are authoritative.

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Midjourney

Available model IDs

Async flow

Example: text-to-image

Suno (music generation)

Available model IDs

Async flow

Billing notes

​Midjourney

​Available model IDs

​Async flow

​Example: text-to-image

​Suno (music generation)

​Available model IDs

​Async flow

​Billing notes

Midjourney

Available model IDs

Async flow

Example: text-to-image

Suno (music generation)

Available model IDs

Async flow

Billing notes