AlibabaAlibaba·🎬 Video Generation·↑ Newer: HappyHorse 1.1

HappyHorse 1.0

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Quick reference
HappyHorse 1.0 — TLDR
  • 🎬 Image-to-video generation model from Alibaba
  • 🖼️ Animates a still input image into motion
  • 🎯 Launch generation of the HappyHorse video line
  • 🌍 Part of Alibaba's broad media-generation catalogue
  • ⚡ Now joined by a newer 1.1 revision
💰 Pricing
$0.460 – $3.96
per generation
📅 On Venice since
Apr 25, 2026
85 days ago
Provider

Alibaba Group is a Chinese multinational technology company founded in 1999 and headquartered in Hangzhou, Zhejiang. Originally built around e-commerce and cloud computing, Alibaba has become one of the most prolific contributors to open-weight AI research,…

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51 models on Venice
20 video · 18 text · 5 image · 4 inpaint · 2 embedding · 2 tts
Since Jan 11, 2025

About this model

HappyHorse 1.0 is Alibaba's image-to-video generator, taking a single still image as the seed and animating it into a short motion clip. Released in April 2026, it arrived alongside the text-to-video HappyHorse 1.0 and was quickly followed by HappyHorse 1.0 Reference and HappyHorse 1.0 Edit, forming a full first-generation suite spanning text, image, reference, and video-to-video workflows.

Within Alibaba's media lineup, HappyHorse sits alongside the larger Wan video family and the Qwen image and text models, giving the provider coverage across most generative tasks. This particular entry is the image-to-video variant of the 1.0 generation, and it has since been joined by HappyHorse 1.1 (released June 2026), which refines the same image-to-video pipeline. The 1.0 release remains a usable option for those who prefer its specific output behavior.

It is best suited for users who want to bring a static image to life — turning concept art, photos, or rendered frames into short animated sequences without authoring motion from a text prompt alone.

This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.

Data sources: Venice API · HuggingFace · Wikipedia — enrichment updated 5d ago