Model Card
Vidu Q1 is a high-performance generative video model from ShengShu Technology that produces cinematic 1080p videos up to 5 seconds with integrated AI-generated audio. It features a First-to-Last Frame system for seamless transitions between unrelated images and supports up to 7 reference images for multi-character consistency. The model excels at anime-style content and includes built-in 48kHz sound effects and background music generation from text prompts.
Max Duration 5s
seconds
Frame Rate N/A
fps
Aspect Ratio N/A
supported
Release Date May 13, 2025
Add Vidu Q1 to your app
Use Vidu Q1 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.txt2vid("A cat playing with a ball of yarn", {
model: "vidu/vidu-q1"
}).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", {
model: "vidu/vidu-q1"
}).then(video => {
document.body.appendChild(video);
});
</script>
</body>
</html>
More AI Models From Vidu
Vidu Q3 Turbo
Vidu Q3 Turbo is the speed-optimized variant of ShengShu Technology's Vidu Q3 video model. It generates text-to-video and image-to-video clips up to 16 seconds long at resolutions from 360p to 1080p, with optional synchronized audio generated alongside the video rather than added afterward, and produces them faster than the standard Q3 model in exchange for some visual fidelity. It accepts one reference image to animate, or two images to set the first and last frames of a clip, and offers adjustable motion intensity from subtle to dramatic. ShengShu positions it for rapid prototyping and high-volume generation, while the standard Q3 model targets maximum visual fidelity.
VideoVidu Q3
Vidu Q3 is a video generation model from ShengShu Technology that produces up to 16 seconds of video at up to 1080p resolution and 24fps, with native audio (dialogue, sound effects, and music) generated in the same pass as the visuals instead of added afterward. It supports multi-shot sequences through built-in scene-boundary detection, so one generation can span several camera angles with automatic transitions between them. ShengShu introduced Vidu Q3 in January 2026 and reported it ranked No. 1 in China and No. 2 globally on Artificial Analysis's video benchmark at the time. In April 2026, ShengShu added a Reference-to-Video mode that combines multiple reference inputs, such as subjects, environments, costumes, props, and visual styles, in one generation, and said Vidu Q3 then ranked No. 1 globally on Artificial Analysis and on SuperCLUE's first global Reference-to-Video leaderboard.
Frequently Asked Questions
You can access Vidu Q1 by Vidu 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.
Vidu Q1 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.
Vidu Q1 was created by Vidu and released on May 13, 2025.
Yes — the Vidu Q1 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 Vidu Q1 to your app for free
Developers can integrate Vidu Q1 for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.