Wan 2.7 Image API

Complete API reference for Wan 2.7 image generation models powered by Alibaba.

Model Variants

This API supports four model variants:

Quick Comparison

Supported Aspect Ratios

Both Standard and Pro models support 7 aspect ratios:

• 16:9, 9:16, 1:1, 4:3, 3:4, 3:2, 2:3

Wan 2.7 Image (Text-to-Image)

Endpoint

POST /api/v1/image/task

Authentication

Authorization: Bearer YOUR_API_KEY

Request Parameters

Required

Note: The width:height ratio must be one of: 16:9, 9:16, 1:1, 4:3, 3:4, 3:2, 2:3

Optional

Example Request

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const response = await fetch('https://api.flaq.ai/api/v1/image/task', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model_name: 'wan-v2.7-image',
    prompt: 'A serene landscape with mountains and a lake at sunset',
    width: 16,
    height: 9
  })
});

const { data } = await response.json();
const taskId = data.task_id;

// Poll for results
const pollResponse = await fetch(
  `https://api.flaq.ai/api/v1/image/${taskId}`,
  {
    headers: { 'Authorization': 'Bearer YOUR_API_KEY' }
  }
);

const result = await pollResponse.json();
console.log(result.data.task_result.images[0].url);

Wan 2.7 Image Edit (Image Editing)

Endpoint

POST /api/v1/image/task

Request Parameters

Required

Note: The width:height ratio must be one of: 16:9, 9:16, 1:1, 4:3, 3:4, 3:2, 2:3

Optional

Single Image Edit Example

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{
  model_name: 'wan-v2.7-image-edit',
  prompt: 'Change the background to a beach scene',
  width: 16,
  height: 9,
  image_url_list: ['https://example.com/image.jpg']
}

Multi-Image Composition Example

Up to 9 images can be combined in a single request:

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{
  model_name: 'wan-v2.7-image-edit',
  prompt: 'Combine these images into a cohesive landscape',
  width: 16,
  height: 9,
  image_url_list: [
    'https://example.com/image1.jpg',
    'https://example.com/image2.jpg',
    'https://example.com/image3.jpg'
  ]
}

Wan 2.7 Image Pro (Text-to-Image)

Uses the same parameters as Wan 2.7 Image, with model_name set to wan-v2.7-image-pro for enhanced output quality.

Example Request

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const response = await fetch('https://api.flaq.ai/api/v1/image/task', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model_name: 'wan-v2.7-image-pro',
    prompt: 'A professional product photo with studio lighting',
    width: 16,
    height: 9
  })
});

const { data } = await response.json();
const taskId = data.task_id;

Wan 2.7 Image Pro Edit (Image Editing)

Uses the same parameters as Wan 2.7 Image Edit, with model_name set to wan-v2.7-image-pro-edit for enhanced output quality.

Example Request

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const response = await fetch('https://api.flaq.ai/api/v1/image/task', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer YOUR_API_KEY',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model_name: 'wan-v2.7-image-pro-edit',
    prompt: 'Replace the background with a modern office interior',
    width: 16,
    height: 9,
    image_url_list: ['https://example.com/image.jpg']
  })
});

const { data } = await response.json();
const taskId = data.task_id;

Response Format

Initial Response

All models return a task_id for polling:

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{
  "code": 0,
  "data": {
    "task_id": "{task_id}",
    "task_status": "submitted",
    "response_url": "https://api.flaq.ai/api/v1/image/{task_id}"
  },
  "message": "success"
}

Polling Response

Poll GET /api/v1/image/{taskId} to check status:

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{
  "code": 0,
  "data": {
    "task_id": "{task_id}",
    "task_status": "succeed",
    "task_status_msg": null,
    "response_url": "https://api.flaq.ai/api/v1/image/{task_id}",
    "task_result": {
      "credit": 0.0997,
      "images": [
        {
          "url": "https://example.com/generated-image.jpeg"
        }
      ]
    }
  },
  "message": "success"
}

Status Values

• submitted: Task accepted
• processing: Generation in progress
• succeed: Generation completed successfully
• failed: Generation failed

Error Handling

Common Errors

Invalid Aspect Ratio

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{
  "code": 400,
  "message": "Ratio must be one of: 16:9, 9:16, 1:1, 4:3, 3:4, 3:2, 2:3"
}

Missing Image URL (Edit Mode)

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{
  "code": 400,
  "message": "image_url_list is required for edit models"
}

Too Many Images (Edit Mode)

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{
  "code": 400,
  "message": "image_url_list supports a maximum of 9 images"
}

Unauthorized

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{
  "code": 401,
  "message": "Invalid or missing API key"
}

Best Practices

Text-to-Image Tips

1. Be Specific: Include subject, style, lighting, and composition details in your prompt
2. Aspect Ratio Selection: Choose ratio based on your use case (16:9 for web banners, 9:16 for mobile, 1:1 for social media)
3. Use Seed for Reproducibility: Set a fixed seed value when you need consistent results across requests
4. Standard vs Pro: Use Standard for high-volume workflows; use Pro when output quality is the priority

Image Editing Tips

1. Clear Instructions: Be specific about what to change in the prompt
2. Multi-Image Composition: Provide up to 9 images and describe how they should be combined
3. Prompt Guidance: Describe the desired outcome rather than just listing changes
4. Image Quality: Higher quality input images generally produce better editing results