Alibaba

Wan 2.7

Name: Wan 2.7
Brand: Alibaba
Price: 0.03 USD
Availability: InStock

AI Image Editing Model

Alibaba's Wan 2.7 image generation and editing model for text-to-image, reference-guided generation, and instruction-based image edits

Try Model

2048 x 2048

Max Resolution

Max Images per Request

Input / Output

Text Image → Image

Active

Details

Model ID

wan-2.7

Also known as: wan2.7-image

Creator

Alibaba

Family

wan

Released

April 2026

Max Input Images

Ready to integrate?

Access wan-2.7 via our unified API.

Create Account

Providers & Pricing (1)

Wan 2.7 is available exclusively through Alibaba Cloud, starting at $0.03/image.

Alibaba Cloud

alibaba/wan-2.7-image

Provider Model ID: wan2.7-image

$0.030 /image

wan2.7-image API OpenAI-compatible

Base URL

https://api.lumenfall.ai/openai/v1

Model

wan-2.7

Text to Image Generate

Create images from text descriptions

curl -X POST \

  https://api.lumenfall.ai/openai/v1/images/generations \

  -H "Authorization: Bearer $LUMENFALL_API_KEY" \

  -H "Content-Type: application/json" \

  -d '{

    "model": "wan-2.7",

    "prompt": "A serene mountain landscape at sunset",

    "size": "1024x1024"

}'

# Response:

# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

import OpenAI from 'openai';

const client = new OpenAI({

  apiKey: 'YOUR_API_KEY',

  baseURL: 'https://api.lumenfall.ai/openai/v1'

});

const response = await client.images.generate({

  model: 'wan-2.7',

  prompt: 'A serene mountain landscape at sunset',

  size: '1024x1024'

});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

console.log(response.data[0].url);

from openai import OpenAI

client = OpenAI(

    api_key="YOUR_API_KEY",

    base_url="https://api.lumenfall.ai/openai/v1"

response = client.images.generate(

    model="wan-2.7",

    prompt="A serene mountain landscape at sunset",

    size="1024x1024"

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

print(response.data[0].url)

Image Editing Edit

Transform existing images with text instructions

curl -X POST \

  https://api.lumenfall.ai/openai/v1/images/edits \

  -H "Authorization: Bearer $LUMENFALL_API_KEY" \

  -F "model=wan-2.7" \

  -F "[email protected]" \

  -F "prompt=Add a starry night sky to this image" \

  -F "size=1024x1024"

# Response:

# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

import OpenAI from 'openai';

import fs from 'fs';

const client = new OpenAI({

  apiKey: 'YOUR_API_KEY',

  baseURL: 'https://api.lumenfall.ai/openai/v1'

});

const response = await client.images.edit({

  model: 'wan-2.7',

  image: fs.createReadStream('source.png'),

  prompt: 'Add a starry night sky to this image',

  size: '1024x1024'

});

// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

console.log(response.data[0].url);

from openai import OpenAI

client = OpenAI(

    api_key="YOUR_API_KEY",

    base_url="https://api.lumenfall.ai/openai/v1"

response = client.images.edit(

    model="wan-2.7",

    image=open("source.png", "rb"),

    prompt="Add a starry night sky to this image",

    size="1024x1024"

# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }

print(response.data[0].url)

Size, Aspect Ratio & Resolution Reference

Three optional parameters for controlling output dimensions

size

Exact pixel dimensions

"1920x1080"

aspect_ratio

Shape only, default scale

"16:9"

resolution

Scale tier, preserves shape

"1K"

Priority when combined

size › aspect_ratio + resolution › aspect_ratio › resolution

size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.

How matching works

Shape matching – we pick the closest supported ratio. Ask for 7:1 on a model with 4:1 and 8:1, you get 8:1.

Scale matching – providers use different tier formats: K tiers (0.5K 1K 2K 4K) or megapixel tiers (0.25 1). If the exact tier isn't available, you get the nearest one.

Dimension clamping – if a model has pixel limits, we clamp dimensions to fit and keep the aspect ratio intact.

Parameters & Unified Output Reference

These work the same regardless of which provider runs your request

response_format

url or b64_json. If you ask for a URL but the provider returns base64, we store it temporarily and hand you a link valid for 60 minutes.

output_format

Pick from png jpeg gif webp avif. We convert if the provider generates a different format.

output_compression

Quality level from 1 to 100 for lossy formats (jpeg, webp, avif). Higher means better quality, larger file.

n

Request multiple images in one call. If the provider caps at 1, we run parallel requests behind the scenes and return them together.

Parameter support

Not every provider speaks the same language. When you send a parameter, we handle it in one of four ways depending on what the model supports:

Mode	What happens	Example
`passthrough`	Sent as-is to the provider	style, quality
`renamed`	Same value, mapped to the field name the provider expects	prompt
`converted`	Transformed to the provider's native format	size
`emulated`	Works even if the provider has no concept of it	n, response_format

Parameters we don't recognize pass straight through to the upstream API, so provider-specific options still work.

Full API Reference Authentication, endpoints, and more

Gallery

View all 4 images

Wan 2.7 FAQ

How much does Wan 2.7 cost?

Wan 2.7 starts at $0.03 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

How do I use Wan 2.7 via API?

You can use Wan 2.7 through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "wan-2.7". Code examples are available in Python, JavaScript, and cURL.

Which providers offer Wan 2.7?

Wan 2.7 is available through Alibaba Cloud on Lumenfall. Lumenfall automatically routes requests to the best available provider.

What is the maximum resolution for Wan 2.7?

Wan 2.7 supports images up to 2048x2048 resolution.

Try Wan 2.7 in Playground

Generate images with custom prompts — no API key needed.

Open Playground