Four pipelines, one model
HappyHorse combines text-to-video, image-to-video, reference-to-video, and video editing in a single model. No switching between tools — drop in your input and HappyHorse picks the right pipeline automatically.
HappyHorse Alibaba's Versatile AI Video Model
Features
Why HappyHorse
Up to 9 reference characters
Upload up to 9 reference images to maintain character consistency across generations. HappyHorse maps each reference to a character slot, so your cast stays recognizable — more references than Kling 3.0 or Kling O1 (4 max each).
Native audio on every clip
Every HappyHorse generation ships with synchronized audio — dialogue, ambient sound, and effects rendered alongside the video. The same native-audio approach as Kling 3.0 and Veo 3.1, no post-production sync needed.
Video editing built in
Upload an existing clip and describe what to change. HappyHorse edits the video in place — wardrobe swaps, background changes, style transfers — while preserving the original motion. For more aggressive restyle passes, compare with Kling O3.
Up to 15-second clips at 1080p
Generate clips from 3 to 15 seconds at up to 1080p resolution. Long enough for a full ad spot, short enough to iterate fast. Chain clips in Sunra Flow when you need longer sequences.
Five aspect ratios, native composition
16:9, 9:16, 1:1, 4:3, 3:4 — all supported natively without crop artifacts. More format options than most models, ideal for creators publishing across YouTube, TikTok, Reels, and custom platform layouts.
Side-by-side comparison in Canvas
Not sure if HappyHorse is the right model for your shot? Run the same prompt on multiple models in Canvas and compare outputs side by side. Most creators find HappyHorse wins on pipeline flexibility and character reference count.
Get started
How to use HappyHorse
1
Open the AI video generator
Go to Sunra Video and select HappyHorse from the model dropdown. No account required — free daily credits are available immediately.
2
Choose your input mode
Type a prompt for text-to-video, upload a still for image-to-video, add reference images for character consistency, or upload an existing clip for video editing. HappyHorse adapts to your input automatically.
3
Generate and preview
Click Generate and get your clip back with native audio. Review the motion, character accuracy, and audio sync. Run 3–5 variations to find the best take — each generation is a fresh interpretation of your prompt.
Showcase
Made with HappyHorse
Who it's for
Use cases
Character-consistent social series
Upload character references once, then generate an entire content series where the same faces and outfits appear consistently. HappyHorse's 9-reference limit supports larger casts than any Kling model — ideal for brand mascots, recurring characters, and serialized AI video content.
Product video from a single photo
Upload a product image via image-to-video, describe the reveal motion, and HappyHorse delivers a polished product video with ambient audio — ready for e-commerce listings and social ads without a separate audio pass.
Quick video edits without reshooting
Upload existing footage and describe the change — swap the background, restyle the wardrobe, shift the color grade. HappyHorse edits the video in place, saving a full reshoot cycle. Chain edits in Flow for multi-clip post-production.
Multi-platform content in one session
Generate the same scene in 16:9 for YouTube, 9:16 for TikTok, and 1:1 for Instagram — all from one prompt session. Five native aspect ratios mean no cropping or reframing in post, and each format composes correctly from the start.
Community
Loved by creators worldwide
Join thousands of creators, agencies, and brands who use Sunra every day.
FAQ
Questions & answers
What is HappyHorse?
HappyHorse is Alibaba's AI video generation model. It supports text-to-video, image-to-video, multi-character reference (up to 9 images), and video editing — all in one model with native audio output.
How does HappyHorse compare to Kling 3.0?
Kling 3.0 leads on cinematic quality, multi-shot cohesion, and lip-sync. HappyHorse leads on pipeline versatility — 4 modes in one model — and supports up to 9 reference characters vs Kling's 4. Choose Kling for premium cinematic work, HappyHorse for flexible multi-pipeline workflows.
How does HappyHorse compare to Seedance 2.0?
Seedance 2.0 is optimized for speed and vertical-first social content with sub-minute render time. HappyHorse offers more input flexibility — 9 reference characters, built-in video editing, 5 aspect ratios — and longer clips (up to 15s vs 10s). Use Seedance for rapid iteration, HappyHorse for reference-heavy or edit-based workflows.
Can HappyHorse edit existing videos?
Yes. Upload a clip and describe the change — background swap, wardrobe change, style transfer. HappyHorse edits the video in place while preserving the original motion. Supports up to 5 reference images during video editing.
How many reference images can I use with HappyHorse?
Up to 9 reference images for reference-to-video generation, and up to 5 when editing an existing video. Each reference maps to a character slot in your prompt — use
@Image1, @Image2, etc.How long can HappyHorse clips be?
3 to 15 seconds per generation. For longer sequences, chain clips in Sunra Flow while maintaining character and scene continuity across cuts.
What resolution does HappyHorse output?
Up to 1080p. Both 720p and 1080p are available, with five aspect ratios: 16:9, 9:16, 1:1, 4:3, and 3:4.
Does HappyHorse generate audio?
Yes. Every HappyHorse generation includes native audio — ambient sounds, effects, and dialogue generated alongside the video. No separate audio step needed.
Is HappyHorse free on Sunra?
Yes — free daily credits include HappyHorse generations. Beyond that, credits are deducted from your wallet or subscription allowance.
How does HappyHorse compare to Veo 3.1?
Veo 3.1 excels at cinematic camera control and native audio richness. HappyHorse excels at multi-character reference (9 images) and video editing workflows. Use Veo 3.1 for broadcast-quality single shots, HappyHorse when you need character consistency or in-place video editing.