AlibabaAlibaba·🎬 Video Generation·New

HappyHorse 1.1

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Quick reference
HappyHorse 1.1 — TLDR
  • 🎬 Image-to-video generation from Alibaba
  • 🖼️ Animates a still source image into motion
  • 🎯 Newest release in the HappyHorse image-to-video line
  • ⚡ Latest 1.1 generation, refreshed June 2026
  • 🎨 Built for creative motion and visual storytelling
💰 Pricing
$0.280 – $1.78
per generation
📅 On Venice since
Jun 22, 2026
3 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 · 17 text · 5 image · 5 inpaint · 2 embedding · 2 tts
Since Jan 11, 2025

About this model

HappyHorse 1.1 is Alibaba's image-to-video generator, taking a single still image as the starting frame and synthesizing fluid motion from it. Released in June 2026, it is the current incumbent of the HappyHorse image-to-video line, stepping in directly above HappyHorse 1.0 (April 2026) with refinements to the same generation pipeline.

The 1.1 update arrived as a coordinated family refresh alongside its HappyHorse 1.1 text-to-video and HappyHorse 1.1 Reference counterparts, giving users a consistent toolkit across prompt-driven, reference-driven, and image-driven workflows. It sits within Alibaba's broader generative media catalogue, which also spans the Wan video family and the Qwen Image line — making HappyHorse the more recent, purpose-built option for animating existing visuals.

This image-to-video variant is best suited when you already have a source image — a photo, render, or artwork — and want to bring it to life with natural movement. For creators working from text prompts or reference clips instead, the sibling 1.1 models cover those entry points within the same lineup.

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 2d ago