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Alibaba: HappyHorse 1.1 R2V

alibaba/happyhorse-1.1-r2v

Access HappyHorse 1.1 R2V from Alibaba using the Puter.js AI API.

Add to your app

Model Card

HappyHorse 1.1 Reference-to-Video is a video generation model from Alibaba, built by the company's ATH (Alibaba Token Hub) AI Innovation Unit. Its reference-to-video (R2V) mode takes 1 to 9 reference images of characters or scenes together with a text prompt and composes them into a single video, keeping each subject's identity consistent across shots.

HappyHorse is a 15-billion-parameter unified self-attention Transformer that generates video and audio in one pass rather than as separate steps. Version 1.0 first appeared anonymously in the Artificial Analysis Video Arena in April 2026 before Alibaba was named as its creator; version 1.1 followed in June 2026 with stronger motion expressiveness, tighter multi-image consistency, and improved audio-visual sync.

Output runs 3 to 15 seconds at 720p or 1080p across multiple aspect ratios.

Max Duration N/A

seconds

Frame Rate N/A

fps

Aspect Ratio N/A

supported

Release Date Jun 21, 2026

 

Add HappyHorse 1.1 R2V to your app

Use HappyHorse 1.1 R2V 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: "alibaba/happyhorse-1.1-r2v"
}).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: "alibaba/happyhorse-1.1-r2v"
        }).then(video => {
            document.body.appendChild(video);
        });
    </script>
</body>
</html>

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Qwen Image 3 is Alibaba's third-generation text-to-image model from the Qwen team, released in July 2026 as a closed model with no public weights. It accepts prompts of up to 4,500 tokens, so a multi-panel layout such as an infographic grid or a nested interface mockup can be generated in a single pass. It renders text natively in 12 languages, including legible text as small as ten pixels and mathematical formulas with subscripts and superscripts. It also produces photorealistic detail such as skin pores and individual hair strands, and supports image editing that matches the original style. Alibaba has not published benchmarks for this release. Its predecessor, Qwen Image 2.0, ranked just behind GPT Image 2 and Nano Banana Pro on Alibaba's arena platform. It suits developers building posters, infographics, multilingual product visuals, and storyboards where long prompts and accurate text matter.

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Qwen Image 3 Pro

Qwen Image 3 Pro is Alibaba's flagship third-generation text-to-image and image-editing model from the Qwen team. It entered an invitation-only cloud preview on July 21, 2026 and opened to all users on August 5. Alibaba lists support for prompts up to 4.5K tokens, dense layouts such as newspapers, menus, storyboards, and exam papers, and text rendering at sizes down to about 10 pixels. It renders text natively in 12 languages with more than 20 fonts, and it improves skin, hair, and material textures over earlier versions. On the Text-to-Image Arena leaderboard it debuted at #5 with a score of 1,263, up from Qwen Image 2.0 Pro at #15 with 1,191. It suits developers building posters, infographics, and multilingual design assets that need accurate text.

Video

HappyHorse 1.1 Text-to-Video

HappyHorse 1.1 Text-to-Video is a video generation model from Alibaba's ATH (Alibaba Token Hub) AI Innovation Unit, generating video and synchronized audio together in a single pass rather than adding sound afterward. It builds on HappyHorse 1.0, with Alibaba reporting improvements in motion dynamics, subject consistency, prompt adherence, visual quality, and audio generation. The model outputs clips from 3 to 15 seconds at 720p or 1080p, in 16:9, 9:16, 1:1, 4:3, or 3:4 aspect ratios, with lip-synced dialogue, ambient sound, and effects generated alongside the visuals. Following its release in June 2026, it ranked No. 2 across Artificial Analysis's Video Arena leaderboards, behind Google's Veo 3.1.

Frequently Asked Questions

How do I use HappyHorse 1.1 R2V?

You can access HappyHorse 1.1 R2V by Alibaba 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.

Is the HappyHorse 1.1 R2V API free for developers?

HappyHorse 1.1 R2V 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.

Who created HappyHorse 1.1 R2V?

HappyHorse 1.1 R2V was created by Alibaba and released on Jun 21, 2026.

Does it work with React / Vue / Vanilla JS / Node / etc.?

Yes — the HappyHorse 1.1 R2V 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 HappyHorse 1.1 R2V to your app for free

Developers can integrate HappyHorse 1.1 R2V for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.

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