AlibabaAlibaba·🎬 Video Generation·↑ Newer: HappyHorse 1.1

HappyHorse 1.0

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Quick reference
HappyHorse 1.0 — TLDR
  • 🎬 Text-to-video generation model from Alibaba
  • 🎯 Launched the HappyHorse video line in April 2026
  • 🖼️ Turns text prompts into motion clips
  • 🏢 Part of Alibaba's broader Wan/Qwen media stack
  • 🔄 Now succeeded by HappyHorse 1.1
💰 Pricing
$0.460 – $3.96
per generation
📅 On Venice since
Apr 24, 2026
86 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 text-to-video model that opened the HappyHorse generative-video line when it arrived in April 2026. It converts written prompts into short video clips, sitting alongside Alibaba's larger Wan video family and Qwen text and image models as part of the company's expanding multimodal media toolkit. The 1.0 release shipped as a family launch, quickly accompanied by image-to-video, reference-to-video, and edit variants under the same HappyHorse 1.0 banner.

Within the lineup, HappyHorse 1.0 is the first-generation text-to-video entry, now joined by HappyHorse 1.1 (released June 2026), which carries the line forward with refinements. The original remains available for users who want its specific behavior, and it complements the heavier Wan 2.7 text-to-video option for those choosing between Alibaba's two video families.

HappyHorse 1.0 is best suited to creators prototyping short animated clips and motion concepts directly from text descriptions, where a fast prompt-to-video workflow matters more than the latest generation's incremental polish.

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