
alibaba/ qwen-image/ text-to-image
Text to ImageAlibaba's Qwen-Image creates images from text prompts and stands out at rendering complex, multi-line text. Aimed at posters, slides and signage, with negative prompts, size presets or exact dimensions, guidance and steps, seeds, up to 3 LoRAs, turbo mode and 1-4 images per call.
More settings (9)
$0.02 / megapixel · billed by each image's actual pixels

Mount Fuji with cherry blossoms in the foreground, clear sky, peaceful spring day, soft natural light, realistic landscape.
Pricing
Unit price $0.02 / megapixel
Billed by the actual pixels of each image; larger sizes and more images cost more. 1024×1024 is about 1 megapixel.
Each request temporarily reserves $0.04; you are charged for actual usage, usually within a minute: any unused amount is released and any usage above it is charged to your balance, even if that takes it below zero; while your balance is below zero, new requests are paused until a top-up covers it.
Failed generations are not charged.
API
Submit generation requests with this model ID.
/v1/model-tasksalibaba/qwen-image/text-to-image{
"model": "alibaba/qwen-image/text-to-image",
"input": {
"num_inference_steps": 30,
"prompt": "Mount Fuji with cherry blossoms in the foreground, clear sky, peaceful spring day, soft natural light, realistic landscape.",
"guidance_scale": 2.5,
"image_size": "landscape_4_3",
"acceleration": "none",
"negative_prompt": " ",
"output_format": "png"
}
}Input schema
| Parameter | Type | Requirement | Default |
|---|---|---|---|
| prompt | string | Required | — |
| acceleration | string | Optional | none |
| guidance_scale | number | Optional | 2.5 |
| image_size | object | string | Optional | landscape_4_3 |
| loras | array | Optional | [] |
| negative_prompt | string | Optional | |
| num_images | integer | Optional | 1 |
| num_inference_steps | integer | Optional | 30 |
| output_format | string | Optional | png |
| seed | integer | Optional | — |
| use_turbo | boolean | Optional | false |
Response
The API returns a result or a pollable asynchronous task. See the examples and Schema below for the response mode and result fields.
Code examples
Async submission returns a task ID. Poll until status is completed, then retrieve the generated content from the result. Get your API key in the console.
# Use a new directory for each new generation. Rerunning here continues this task.
set -eu
test -s model-task-id.txt || python3 -c "import uuid; print(uuid.uuid4())" > model-task-id.txt
REQUEST_ID=$(cat model-task-id.txt)
# Idempotent: resending the same bytes with the same ID never charges twice.
curl --fail-with-body --retry 3 --retry-connrefused --request POST 'https://api.musespan.com/v1/model-tasks' \
--header "Authorization: Bearer $MUSESPAN_API_KEY" \
--header "X-Request-Id: $REQUEST_ID" \
--header "Content-Type: application/json" \
--data '{"model":"alibaba/qwen-image/text-to-image","input":{"num_inference_steps":30,"prompt":"Mount Fuji with cherry blossoms in the foreground, clear sky, peaceful spring day, soft natural light, realistic landscape.","guidance_scale":2.5,"image_size":"landscape_4_3","acceleration":"none","negative_prompt":" ","output_format":"png"}}'
# Poll every 5 seconds for up to 25 minutes until status is completed or failed.
# Still queued (with queue_position) 5 minutes after submission: failed with queue_timeout, not charged.
# No result 15 minutes after acceptance (or no confirmation 15 minutes after submission): failed with generation_timeout, not charged.
# Any failure is final: generate again in a new directory (a new X-Request-Id).
# A 404 means the POST did not arrive: rerun this script to resend it with the same ID.
curl --fail-with-body 'https://api.musespan.com/v1/model-tasks/'"$REQUEST_ID"'' --header "Authorization: Bearer $MUSESPAN_API_KEY"