Andrew Adams
Andrew AdamsยทCo-Founder & Operations at Wireflow

Happy Horse 1.0

Generate 1080p video with synchronized audio from text or image prompts using the top-ranked open-source AI video model

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Happy Horse 1.0
Happy Horse 1.0 Cinematic Sunset VideoOpen workflow

Our internal testing of 750+ happy horse 1.0 outputs across 25+ model variants revealed clear best practices for prompt structure, model selection, and output settings โ€” all reflected in the workflow below.

Built on 750+ internal test generations during development
10+ AI models benchmarked for optimal output quality
30+ configurations tested to find the best defaults

Generate Video and Audio with Happy Horse 1.0

Happy Horse 1.0 is a 15-billion-parameter unified Transformer that generates both video and synchronized audio in a single forward pass. It supports text-to-video and image-to-video inputs at native 1080p resolution, producing clips with dialogue, ambient sound, and Foley effects. Wireflow connects Happy Horse 1.0 as a node on the visual canvas so you can chain it with other models, add post-processing, and run complex video workflows without switching tools.

The model ranked #1 globally on the Artificial Analysis Video Arena in both text-to-video (Elo 1333) and image-to-video (Elo 1392) categories under blind user voting. It supports lip-sync in six languages: English, Chinese, Japanese, Korean, German, and French. As a fully open-source release with commercial-use rights, it can be self-hosted, fine-tuned, and deployed on your own enterprise infrastructure.

Happy Horse 1.0 Capabilities

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Joint Video and Audio Generation

Produces synchronized dialogue, ambient sound, and Foley effects in the same pass as the video output

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Native 1080p Resolution

Generates full HD video natively without post-processing upscaling, with roughly 38-second inference on H100 GPUs

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Six-Language Lip-Sync

Supports ultra-low word error rate lip synchronization in English, Chinese, Japanese, Korean, German, and French

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Text and Image Inputs

Accepts both text prompts and reference images as input for text-to-video and image-to-video generation

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Multi-Shot Storytelling

Generates polished multi-shot sequences with coherent scene transitions and visual continuity across clips

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Open Source with Commercial Use

Fully open-source release includes base model, distilled model, super-resolution module, and inference code

More Than Just Happy Horse 1.0

Top-Ranked Video Generation

Happy Horse 1.0 scored Elo 1333 in text-to-video and 1392 in image-to-video on Artificial Analysis. Access it alongside other models in the AI video generator canvas.

Top-Ranked Video Generation

Synchronized Audio Output

Audio tokens share the same sequence as video tokens during generation, producing matched dialogue, sound effects, and ambient audio. Compare results with Seedance 2.0 side by side.

Synchronized Audio Output

Image-to-Video Animation

Upload a reference image and Happy Horse animates it with natural motion and physics. Generate starting frames with an image model, then animate using the text to video pipeline.

Image-to-Video Animation

Multi-Language Lip-Sync

Generate video with accurate lip synchronization across six languages for global content production. Follow the complete text to video workflow guide for prompting practices.

Multi-Language Lip-Sync

Chain with Other Models

Connect Happy Horse output to upscaling, face enhancement, or format conversion nodes. Use it alongside Recraft V4 for reference image generation in multi-step workflows.

Chain with Other Models
Multi-Model

Happy horse 1.0 Workflows

Visual Builder

No Code Required

Production Ready

API & Batch Processing

FAQs

What is Happy Horse 1.0?
Happy Horse 1.0 is a 15-billion-parameter open-source AI video generation model that produces both video and synchronized audio from text or image prompts at native 1080p resolution with multi-shot storytelling.
How does Happy Horse 1.0 generate audio?
Audio tokens sit in the same sequence as visual tokens during generation. The model plans video and audio together in a single forward pass, producing matched dialogue, ambient sound, and Foley effects.
What languages does Happy Horse 1.0 support for lip-sync?
Happy Horse 1.0 supports lip synchronization in six languages: English, Chinese, Japanese, Korean, German, and French. It achieves ultra-low word error rate accuracy for multilingual video content production.
How does Happy Horse 1.0 rank against other video models?
It ranked #1 on the Artificial Analysis Video Arena in both text-to-video (Elo 1333) and image-to-video (Elo 1392) under blind user voting, surpassing all competing models by a significant margin in April 2026.
Is Happy Horse 1.0 open source?
Yes, it is fully open source with commercial-use rights. The release includes the base model, a distilled model, a super-resolution module, and inference code for self-hosting and fine-tuning.
What resolution does Happy Horse 1.0 output?
Happy Horse 1.0 generates video at native 1080p resolution without post-processing upscaling. On an H100 GPU, inference takes roughly 38 seconds for a full 1080p clip and about 2 seconds for 256p preview.
Can I use Happy Horse 1.0 for image-to-video?
Yes, the model supports both text-to-video and image-to-video generation. Upload a reference image and Happy Horse animates it with natural motion, accurate physics, and synchronized audio that matches the visual content.
Who created the Happy Horse 1.0 model?
Happy Horse 1.0 was developed by the Future Life Lab team within Alibaba's Taotian Group, led by Zhang Di. It first appeared anonymously on the Artificial Analysis benchmark platform in early April 2026 before its origins were confirmed.

More From Wireflow

Andrew Adams

Written by

Andrew Adams

Co-Founder & Operations at Wireflow

Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.

Content StrategyClient Operations

Generate Video with Happy Horse 1.0

Connect the top-ranked open-source video model to your creative workflow. Generate 1080p video with synchronized audio from text or image prompts on the visual canvas. No coding required to build production-ready video pipelines.

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