Wan AI: Wan 2.7 Image
wan-video/wan-2.7-image
Access Wan 2.7 Image from Wan AI using the Puter.js AI API.
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Model Card
Wan 2.7 Image is a text-to-image and image-editing model from Alibaba's Tongyi Lab, part of the Wan 2.7 family that also includes the text-to-video, image-to-video, and reference-to-video models.
It generates images up to 2K resolution (2048x2048) with flexible aspect ratios, and accepts up to 9 reference images for style transfer, element swaps, and multi-image fusion. An image set mode can produce up to 12 related images in one request, useful for storyboards or consistent character sequences.
The model runs with thinking mode enabled by default, where it plans composition before generating, and supports prompts up to 5,000 characters.
It suits e-commerce product shots, brand asset creation, and pipelines that need a consistent set of images from one prompt rather than a single isolated frame. Wan 2.7 Image Pro is a higher-quality tier of the same generation, with 4K output.
Cost Per Image $0.03
per generation
Configuration output
resolution
Release Date Apr 6, 2026
Code Example
Use Wan 2.7 Image in your app with the Puter.js AI API — no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.txt2img("A serene mountain landscape at sunset", {
model: "wan-video/wan-2.7-image"
}).then(image => {
document.body.appendChild(image);
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.txt2img("A serene mountain landscape at sunset", {
model: "wan-video/wan-2.7-image"
}).then(image => {
document.body.appendChild(image);
});
</script>
</body>
</html>
More AI Models From Wan AI
Wan 2.7 Image Pro
Wan 2.7 Image Pro is the higher-quality tier of Alibaba's Wan 2.7 image model, built for work that needs sharper prompt interpretation and more stable composition than the standard version. It generates at up to 4K resolution, compared to 2K on the standard Wan 2.7 Image model, and shares the same thinking mode, where the model reasons through scene composition before generating, plus the same 9-reference-image input and 12-image set generation. Text rendering handles up to 3,000 tokens across 12 languages, including formulas and tables, and a color-palette input lets prompts specify exact hex codes for brand-accurate colors. It suits print, large-format, and high-DPI output, and any case where the extra resolution and composition stability are worth the same per-image cost as the standard tier.
VideoWan 2.7 Text-to-Video
Wan 2.7 Text-to-Video is a diffusion-based video generation model from Alibaba, designed to produce cinematic video clips directly from text prompts. It generates native 720p and 1080p video with durations from 2 to 15 seconds, supporting flexible aspect ratios including 16:9, 9:16, and 1:1. A standout feature is optional audio input, which synchronizes character motion and lip movement to a provided audio track during generation. The model responds well to detailed, structured prompts and supports multi-shot narrative control through prompt language alone. It's part of a broader four-model suite that includes image-to-video, reference-to-video, and video editing capabilities. Best suited for marketing content, social media clips, film pre-visualization, and any production pipeline that needs programmatic access to high-quality video generation.
VideoWan 2.7 Image-to-Video
Wan 2.7 Image-to-Video is a diffusion-based video generation model from Alibaba that animates a still image into motion instead of generating a scene purely from text. It is part of the same four-model Wan 2.7 suite as text-to-video, reference-to-video, and video editing, and it shares their native 720p and 1080p output at up to 30fps. Where the text-to-video model starts from a written prompt alone, this one takes an input image as the starting or ending frame, supporting first-frame, first-and-last-frame interpolation, and shot continuation, plus 3x3 grid-to-video storyboarding for multi-panel sequences. It also accepts optional audio input for lip-synced motion and generates clips from 2 to 15 seconds. It suits animating product photos, extending an existing shot, or turning a storyboard into a rough cut without switching tools mid-pipeline.
Frequently Asked Questions
You can access Wan 2.7 Image by Wan AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required.
Wan 2.7 Image is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price | |
|---|---|
| Per image | $0.03 |
Wan 2.7 Image was created by Wan AI and released on Apr 6, 2026.
Yes — the Wan 2.7 Image API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Add Wan 2.7 Image to your app for free
Developers can integrate Wan 2.7 Image for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.