Alibaba: HappyHorse 1.1 Text-to-Video
alibaba/happyhorse-1.1-t2v
Access HappyHorse 1.1 Text-to-Video from Alibaba using the Puter.js AI API for free.
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Model Card
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.
Max Duration N/A
seconds
Frame Rate N/A
fps
Aspect Ratio N/A
supported
Release Date Jun 21, 2026
Code Example
Use HappyHorse 1.1 Text-to-Video 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-t2v"
}).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-t2v"
}).then(video => {
document.body.appendChild(video);
});
</script>
</body>
</html>
More AI Models From Alibaba
HappyHorse 1.1 Image-to-Video
HappyHorse 1.1 Image-to-Video is a closed video generation model from Alibaba that turns a single reference image, used as the first frame, into a short video clip, guided by an optional text prompt. It's part of Alibaba's HappyHorse line, distinct from the open-weight Wan models built by Alibaba's Tongyi Lab. Output resolution goes up to 1080p, with clip lengths from 3 to 15 seconds across five aspect ratios (16:9, 9:16, 1:1, 4:3, 3:4). The model generates audio alongside video in the same pass, including lip-synced dialogue in multiple languages, rather than adding sound in a separate step. Compared to HappyHorse 1.0, Alibaba describes 1.1 as improving motion dynamics, skin texture realism, and close-up quality, though we haven't seen an independent benchmark confirming those gains.
VideoHappyHorse 1.1 R2V
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.
VideoHappyHorse 1.0 Reference-to-Video
HappyHorse 1.0 Reference-to-Video is a video generation model from Alibaba's ATH (Alibaba Token Hub) AI Innovation Unit that generates new video scenes from 1 to 9 reference images plus a text prompt, keeping character identity, outfits, and visual style consistent across the output. It is one of several generation modes in the HappyHorse 1.0 family, alongside text-to-video, image-to-video, and video editing. Output ranges from 3 to 15 seconds (5 seconds by default) at 720p or 1080p, with synchronized audio generated alongside the video by the same 15-billion-parameter transformer. HappyHorse 1.0 topped the text-to-video and image-to-video rankings on the Artificial Analysis Video Arena benchmark after its April 2026 release.
Frequently Asked Questions
You can access HappyHorse 1.1 Text-to-Video 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.
Integrating HappyHorse 1.1 Text-to-Video through the Puter.js AI API is free under the User-Pays Model. Each user pays for their own AI usage through their Puter account.
HappyHorse 1.1 Text-to-Video was created by Alibaba and released on Jun 21, 2026.
Yes — the HappyHorse 1.1 Text-to-Video 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 Text-to-Video to your app for free
Developers can integrate HappyHorse 1.1 Text-to-Video for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.