Wan AI: Wan 2.2 Image-to-Video 14B
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Wan 2.2 I2V A14B is an open-source image-to-video generation model that transforms static images into 5-second videos at 480P or 720P resolution. It uses a Mixture-of-Experts (MoE) architecture with dual 14B-parameter experts to achieve stable video synthesis with reduced unrealistic camera movements and enhanced support for diverse stylized scenes.
Max Duration N/A
seconds
Frame Rate N/A
fps
Aspect Ratio N/A
supported
Release Date Apr 24, 2025
Code Example
Add AI to 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.txt2vid("A cat playing with a ball of yarn").then(video => {
document.body.appendChild(video);
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.txt2vid("A cat playing with a ball of yarn").then(video => {
document.body.appendChild(video);
});
</script>
</body>
</html>
More AI Models From Wan AI
Wan 2.7 Image
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.
ImageWan 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.
Frequently Asked Questions
Wan 2.2 Image-to-Video 14B is no longer available through Puter.js. Explore other AI models for alternatives.
Wan 2.2 Image-to-Video 14B was created by Wan AI and released on Apr 24, 2025.
Yes — the Wan 2.2 Image-to-Video 14B 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.
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