alibaba/wan-2.7-pro/text-to-image

Text to Image

Alibaba's Wan 2.7 Pro turns text prompts into premium, richly detailed images. Crisp textures and accurate lighting suit product shots, marketing visuals and editorial art, with negative prompts, custom sizes, seeds and up to 5 images per request.

Try it Get API keyOpenAPI llms.txt

Prompt *

391 / 2,000

Image size

More settings (4)

Negative prompt

0 / 500

Num Images

Output Format

Seed

ResultExampleSign in to try

$0.075 / image · ~13 images per $1

Example — generated from this input

Premium matte-black wireless over-ear headphones floating at a slight three-quarter angle, centered on a seamless pure white background, high-key studio lighting, crisp soft shadow and subtle floor reflection, ultra-sharp details on the stitched leather ear cushions and brushed aluminum hinges, commercial packshot, 50mm product photography, clean minimalist composition, photorealistic, 8K

Pricing

Unit price $0.075 / image

Billed by the number of images actually generated.

~13 images per $1

Each request temporarily reserves $0.075; 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-2.7-pro/text-to-image

Request body

{
  "model": "alibaba/wan-2.7-pro/text-to-image",
  "input": {
    "prompt": "Premium matte-black wireless over-ear headphones floating at a slight three-quarter angle, centered on a seamless pure white background, high-key studio lighting, crisp soft shadow and subtle floor reflection, ultra-sharp details on the stitched leather ear cushions and brushed aluminum hinges, commercial packshot, 50mm product photography, clean minimalist composition, photorealistic, 8K",
    "image_size": "square_hd",
    "negative_prompt": "",
    "num_images": 1,
    "output_format": "jpeg"
  }
}

Input schema

Parameter	Type	Requirement	Default
prompt	string	Required	—
image_size	object \| string	Optional	square_hd
negative_prompt	string	Optional
num_images	integer	Optional	1
output_format	string	Optional	jpeg
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-2.7-pro/text-to-image",
  "status": "queued"
}

Status response

HTTP 200

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

{
  "id": "task_example",
  "model": "alibaba/wan-2.7-pro/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: $REQUEST_ID" \
  --header "Content-Type: application/json" \
  --data '{"model":"alibaba/wan-2.7-pro/text-to-image","input":{"prompt":"Premium matte-black wireless over-ear headphones floating at a slight three-quarter angle, centered on a seamless pure white background, high-key studio lighting, crisp soft shadow and subtle floor reflection, ultra-sharp details on the stitched leather ear cushions and brushed aluminum hinges, commercial packshot, 50mm product photography, clean minimalist composition, photorealistic, 8K","image_size":"square_hd","negative_prompt":"","num_images":1,"output_format":"jpeg"}}'
# Poll every 5 seconds for up to 25 minutes until status is completed or failed.
# Still queued (with queue_position) 5 minutes after submission: failed with queue_timeout, not charged.
# No result 15 minutes after acceptance (or no confirmation 15 minutes after submission): failed with generation_timeout, not charged.
# Any failure is final: generate again in a new directory (a new X-Request-Id).
# A 404 means the POST did not arrive: rerun this script to resend it with the same ID.
curl --fail-with-body 'https://api.musespan.com/v1/model-tasks/'"$REQUEST_ID"'' --header "Authorization: Bearer $MUSESPAN_API_KEY"