alibaba/wan-2.5-preview/text-to-image

Text to Image

Alibaba's Wan 2.5 Preview turns text prompts into polished images and can expand short prompts automatically. Choose a preset or custom size, add a negative prompt, fix a seed for repeatable results and get up to 4 images per request.

Try it Get API keyOpenAPI llms.txt

Prompt *

Image size

More settings (4)

Enable prompt expansion

Negative prompt

Num Images

Seed

ResultExampleSign in to try

$0.05 / image · ~20 images per $1

Example — generated from this input

A lone samurai standing on the edge of a cliff at twilight, overlooking a vast valley shrouded in mist. The sky burns with deep orange and purple hues from the setting sun, casting long, dramatic shadows. The samurai’s silhouette glows against the horizon, with their sword reflecting a glint of fading light. The overall style is hyper-realistic, cinematic, and moody, with dramatic contrast and atmospheric depth.

Pricing

Unit price $0.05 / image

Billed by the number of images actually generated.

~20 images per $1

Each request temporarily reserves $0.05; 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.

POST/v1/model-tasks

alibaba/wan-2.5-preview/text-to-image

Request body

{
  "model": "alibaba/wan-2.5-preview/text-to-image",
  "input": {
    "prompt": "A lone samurai standing on the edge of a cliff at twilight, overlooking a vast valley shrouded in mist. The sky burns with deep orange and purple hues from the setting sun, casting long, dramatic shadows. The samurai’s silhouette glows against the horizon, with their sword reflecting a glint of fading light. The overall style is hyper-realistic, cinematic, and moody, with dramatic contrast and atmospheric depth.",
    "enable_prompt_expansion": true,
    "image_size": "square",
    "num_images": 1
  }
}

Input schema

Parameter	Type	Requirement	Default
prompt	string	Required	—
enable_prompt_expansion	boolean	Optional	true
image_size	object \| string	Optional	square
negative_prompt	string	Optional	—
num_images	integer	Optional	1
seed	integer	Optional	—

Response

The API returns a result or a pollable asynchronous task. See the examples and Schema below for the response mode and result fields.

Asynchronous task

Submit response

HTTP 202

/v1/model-tasksapplication/json

{
  "id": "task_example",
  "model": "alibaba/wan-2.5-preview/text-to-image",
  "status": "queued"
}

Status response

HTTP 200

/v1/model-tasks/{id}application/json

{
  "id": "task_example",
  "model": "alibaba/wan-2.5-preview/text-to-image",
  "status": "completed",
  "output": {
    "images": [
      {
        "url": "https://api.musespan.com/v1/model-tasks/task_example/artifacts/0"
      }
    ]
  }
}

File download

HTTP 200

/v1/model-tasks/{id}/artifacts/{index}Generated image (e.g. image/png)

When the task completes, file URLs in output point to this endpoint, numbered from 0. Send the same API key (Authorization header) when downloading.

Error response

HTTP 400

/v1/model-tasksapplication/json

{
  "error": {
    "code": "invalid_input",
    "message": "The input does not match this model's input schema. Check the model's API documentation.",
    "type": "invalid_request_error"
  }
}

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: $REQUEST_ID" \
  --header "Content-Type: application/json" \
  --data '{"model":"alibaba/wan-2.5-preview/text-to-image","input":{"prompt":"A lone samurai standing on the edge of a cliff at twilight, overlooking a vast valley shrouded in mist. The sky burns with deep orange and purple hues from the setting sun, casting long, dramatic shadows. The samurai’s silhouette glows against the horizon, with their sword reflecting a glint of fading light. The overall style is hyper-realistic, cinematic, and moody, with dramatic contrast and atmospheric depth.","enable_prompt_expansion":true,"image_size":"square","num_images":1}}'
# Poll every 5 seconds for up to 25 minutes until status is completed or failed.
# Still queued (with queue_position) 5 minutes after submission: failed with queue_timeout, not charged.
# No result 15 minutes after acceptance (or no confirmation 15 minutes after submission): failed with generation_timeout, not charged.
# Any failure is final: generate again in a new directory (a new X-Request-Id).
# A 404 means the POST did not arrive: rerun this script to resend it with the same ID.
curl --fail-with-body 'https://api.musespan.com/v1/model-tasks/'"$REQUEST_ID"'' --header "Authorization: Bearer $MUSESPAN_API_KEY"