Text to image
Elo · text-to-image arena
Wan 2.7 overview
Wan 2.7 by Alibaba Cloud
Wan 2.7 Image is a production-ready AI image generation and editing model by Alibaba Cloud, offering text-to-image, instruction-based editing, and multi-image consistency through a unified API.
Wan 2.7 specs
- Model ID
alibaba/wan2.7-image- Developer
- Alibaba Cloud
- Input
- Text
- Output
- Video
- Endpoint
POST https://api.aimlapi.com/v1/images/generations
Wan 2.7 Image API, Unified AI Image Generation
Wan 2.7 Image is a production-ready AI image generation and editing model developed by Alibaba Cloud. Unlike typical experimental tools, it offers text-to-image generation, instruction-based editing, multi-image consistency, and high-resolution output through a single, unified API.
Designed for developers and teams, Wan 2.7 Image delivers fast inference, lower cost per request, higher rate limits, and unified billing, critical for scaling AI-powered applications efficiently. Its capabilities make it ideal for e-commerce, marketing automation, media production, and interactive applications.
Overview
Wan 2.7 Image is built to support full visual content workflows rather than single-shot outputs. Its core focus is enabling developers to create consistent, high-quality images at scale, with precise control over style, layout, and textual elements.
| Feature | Description |
|---|---|
| Generation Modes | Text-to-Image, Image-to-Image, Multi-Image, Instruction Editing |
| Output Resolutions | Up to 4K (Pro version) |
| Batch Support | Yes, multi-image sets per request |
| API Type | RESTful endpoint, production-ready |
| Cost Efficiency | Low cost per image, fewer retries needed |
Text-to-Image Generation with Control
Wan 2.7 Image enables developers to generate images directly from text prompts while maintaining high control over layout, color, and style. It resolves common production issues like inconsistent branding, unreadable typography, and repeated facial features in generated images.
| Aspect | Wan 2.7 | Traditional Diffusion Models |
|---|---|---|
| Text Rendering | High precision | Limited control |
| Multi-Image Consistency | Supported | Rarely consistent |
| Fine-Grained Control | Color, layout, object placement | Minimal control |
| Production Suitability | Designed for pipelines | Often experimental |
Instruction-Based Image Editing
Developers can modify images using natural language instructions. This includes object replacement, style adjustments, and regional edits. Unlike many models that require complex pipelines, Wan 2.7 integrates editing directly into the generation workflow, reducing API calls and development overhead.
| Editing Capability | Description |
|---|---|
| Object Modification | Add, remove, or replace objects in images |
| Style Transformation | Blend multiple references or apply specific artistic styles |
| Regional Edits | Targeted changes to selected image areas |
| Layout Control | Maintain spatial structure during edits |
Multi-Image Consistency
One of Wan 2.7 Image’s most valuable features is its ability to generate coherent sets of images with consistent style, identity, and visual elements. This capability is particularly useful in scenarios where uniformity across multiple images is critical. For example, in product catalogs, it ensures that all items share a consistent visual style. In marketing campaigns, it helps maintain brand identity across diverse creative assets. For storyboarding, it enables the generation of sequential images that preserve visual continuity, while in character design, it keeps key facial features, costumes, and stylistic elements consistent across multiple shots. This multi-image coherence makes Wan 2.7 ideal for automated content pipelines and production-ready workflows.
High Rate Limits
The API is built on Alibaba Cloud’s enterprise-grade infrastructure, allowing developers to handle large-scale requests without throttling. High rate limits ensure that batch generation and concurrent requests run smoothly, making the model suitable for production systems with heavy demand.
Use cases
Wan 2.7 is documented as suited to high-quality image generation, including detailed, well-composed outputs. It is also documented for image style transfer, where photos can be edited or restyled with bilingual prompts.
Wan 2.7 is documented as suited to cinematic video from text, producing video with 1080p output, multiple aspect ratios, and up to 15 seconds of duration. It is also documented for talking-head videos, using audio-driven lip-sync from a portrait photo.
Wan 2.7 is documented as suited to product animations, where product shots can be animated with controlled motion. It is also documented for loopable social content, using first-frame and last-frame control to create seamless loops.
Wan 2.7 benchmarks by 
Artificial Analysis
Human-preference results for Wan 2.7 in text to image, next to models available on AI/ML API. Data retrieved Nov 3, 2026.
AI/ML API price
USD per generation
Models on AI/ML API
Arena results for models you can call with the same API key.
Text to image
Blind pairwise human votes on images generated from text prompts. Wan 2.7 ranks #55 of 98.
Wan 2.7 API pricing
| Usage | Price | Unit |
|---|---|---|
| Image generation | $0.03 | per generation |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Wan 2.7 vs other image models: prices
AI/ML API rates for 5 models, per generation.
| Model | Per generation |
|---|---|
 Wan 2.7 | $0.03 |
| Qwen Image 2.0 | $0.035 |
| Qwen Image 3 | $0.075 |
| Qwen Image 3 Edit | $0.075 |
| Qwen Image 2.0 Pro | $0.075 |
How to use the Wan 2.7 API
View docs
Build with your agent
Give your agent the model details, code and documentation.
Paste it into your coding agent to build the integration.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/images/generations' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "alibaba/wan2.7-image",
"prompt": "A ginger cat asleep on a stack of exactly three hardcover books in a rainy bookshop window at dusk. Gold lettering on the glass reads OPEN LATE. Warm lamp light inside, raindrops and blurred neon reflections outside, 35mm film photo."
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "alibaba/wan2.7-image",
"prompt": "A ginger cat asleep on a stack of exactly three hardcover books in a rainy bookshop window at dusk. Gold lettering on the glass reads OPEN LATE. Warm lamp light inside, raindrops and blurred neon reflections outside, 35mm film photo."
}
response = requests.post("https://api.aimlapi.com/v1/images/generations", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/images/generations", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "alibaba/wan2.7-image",
"prompt": "A ginger cat asleep on a stack of exactly three hardcover books in a rainy bookshop window at dusk. Gold lettering on the glass reads OPEN LATE. Warm lamp light inside, raindrops and blurred neon reflections outside, 35mm film photo."
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to Wan 2.7
Wan 2.7 FAQ
How much does Wan 2.7 cost?
Wan 2.7 costs $0.03 per generation on AI/ML API, billed as you go with no subscription.
Who created Wan 2.7?
Wan 2.7 was built by Alibaba Cloud.
What is the Wan 2.7 model ID?
Use alibaba/wan2.7-image as the model parameter. Requests go to https://api.aimlapi.com/v1/images/generations with your AI/ML API key.