Happy Horse 1.0 API
Alibaba Happy Horse 1.0 — high-fidelity AI video generation with best-in-class character identity consistency across cuts and shots.
About the Happy Horse 1.0 API
What Happy Horse 1.0 does, how it fits in the Alibaba model lineup, and why teams reach for it.
Happy Horse 1.0 is a video generation model from Alibaba, available through the WaveSpeedAI REST API. Alibaba Happy Horse 1.0 — high-fidelity AI video generation with best-in-class character identity consistency across cuts and shots.
The Happy Horse 1.0 family on WaveSpeedAI ships 5 REST endpoints covering Text-To-Video, Image-To-Video, Video-Extend, Video-To-Video workflows. Each variant carries its own pricing, parameter knobs, and example outputs — pick the one that matches your input modality and production constraints, or call several from the same API key to compose multi-step pipelines.
Run Happy Horse 1.0 through the same API key, billing account, and rate-limit envelope you use for the other 1,000+ AI models on WaveSpeedAI. No separate vendor setup, no per-provider SDKs, no per-vendor rate-limit envelopes — one integration covers everything from text-to-image and text-to-video through audio synthesis, 3D generation, upscaling, and editing.
All Happy Horse 1.0 API endpoints
5 endpoints available now on WaveSpeedAI — pick the variant that matches your workflow.
Text To Video
Alibaba Happy Horse 1.0 (Text-to-Video) generates cinematic 720p / 1080p videos from text prompts with smooth camera movement, expressive motion, and strong prompt fidelity. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Image To Video
Alibaba Happy Horse 1.0 (Image-to-Video) animates a reference image into a cinematic 720p / 1080p video, optionally guided by a text prompt. Smooth camera movement and expressive, stable motion. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Video Extend
Alibaba Happy Horse 1.0 (Video Extend) extends existing videos with seamless AI-generated continuation, supporting 720p/1080p output. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Video Edit
Alibaba Happy Horse 1.0 (Video Edit) performs prompt-driven video editing with multi-image reference support, supporting 720p/1080p output. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Reference To Video
Alibaba Happy Horse 1.0 (Reference-to-Video) generates new video scenes guided by reference images, maintaining consistent characters, styles, and visual identity. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
See Happy Horse 1.0 in action
Real outputs generated by the Happy Horse 1.0 API. Hover any video to preview, click to open the full-size viewer.
How to use the Happy Horse 1.0 API
Four steps from signup to a finished generation. Full Python, Node.js, and cURL examples are in the API section below.
- 1
Get an API key
Sign up for a WaveSpeedAI account and copy your API key from the dashboard. New accounts come with free starter credits — enough to run the playground a few dozen times before billing kicks in.
- 2
Submit a prediction
POST your input as JSON to https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/text-to-video. The endpoint returns a prediction id immediately — generations are async so you don't hold an open connection during inference.
- 3
Poll for completion
GET https://api.wavespeed.ai/api/v3/predictions/{request_id}/result every 1-2 seconds. The response includes a status field; keep polling until it flips from "queued" or "processing" to "completed".
- 4
Read the output URL
Once status is "completed", read the URL from data.outputs[0]. The URL points to your generated media on the WaveSpeedAI CDN — image, video, audio, or 3D file depending on the Happy Horse 1.0 variant you called.
What you can build with Happy Horse 1.0
Common workflows developers and creators use the Happy Horse 1.0 API for.
Character-driven storytelling
When a specific character has to appear consistently across multiple shots, Happy Horse holds identity better than general-purpose models. Storyboards, narrative shorts, and serialized content benefit.
Animated character shorts
Stylized character animation — anime, illustrated mascots, brand characters — with motion that respects the character's design language.
Multi-shot product demos
Product demos that need the same character (presenter, narrator, or model) across multiple cuts — Happy Horse keeps facial and outfit details consistent without explicit reference re-feeding.
Educational animations
Explainer videos where a consistent host or character guides the viewer — useful for course content, internal training, and onboarding.
Tips for prompting Happy Horse 1.0
Practical advice for getting better outputs from Happy Horse 1.0 — drawn from the patterns that work across video models in production pipelines.
Be specific about camera moves
Mention concrete cinematography vocabulary — orbit, dolly-in, push-in, pan-left, crane shot, handheld follow. Generic prompts produce static or arbitrary camera choices; named camera moves map directly to motion intent in the model's training data and dramatically improve shot quality.
Anchor character identity with reference images
If your prompt depends on a specific person, character, or product, upload a reference image alongside the prompt. Without a reference, identity drifts across frames and across shots — the same character ends up looking like a slightly different person each generation.
Describe lighting and time of day
Lighting cues like 'golden hour, soft warm directional light' or 'overcast diffused light, slate-grey sky' improve quality and consistency far more than vague quality modifiers. Lighting is one of the strongest priors the model conditions on.
Use negative prompts to suppress common failure modes
Useful negatives for video: 'frame flicker, motion blur, watermark, text artifacts, distorted hands, low resolution, jpeg compression'. Negative prompts cost nothing and noticeably reduce the rate of generations you'd otherwise re-roll.
Pick the shortest duration that captures your beat
Most prompts work best at 5-8 seconds. Longer clips amplify temporal inconsistencies (subject morphing, environment drift). If you need a 20-second sequence, generate three 6-8 second clips and edit them together — quality stays higher than one long generation.
Match aspect ratio to platform up front
9:16 for TikTok / Reels / Shorts, 16:9 for landscape feeds and YouTube, 1:1 for post grids. Models train slightly differently per aspect ratio — cropping a 16:9 to 9:16 after the fact loses both fidelity and the composition the model intended.
Happy Horse 1.0 API pricing
Pricing is per-output. The final charge scales with the parameters you set in each variant's playground (resolution, duration, output count, references).
| Endpoint | Type | Starting price |
|---|---|---|
| alibaba/happyhorse-1.0/text-to-video | text-to-video | $0.70 |
| alibaba/happyhorse-1.0/image-to-video | image-to-video | $0.70 |
| alibaba/happyhorse-1.0/video-extend | video-extend | $0.70 |
| alibaba/happyhorse-1.0/video-edit | video-to-video | $0.70 |
| alibaba/happyhorse-1.0/reference-to-video | image-to-video | $0.70 |
Call the Happy Horse 1.0 API
Sign up for an API key at wavespeed.ai/accesskey, then submit a prediction via REST. The playground generates ready-to-paste samples for any combination of inputs.
HTTP example
# 1. Submit a prediction
curl -X POST "https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/text-to-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{}'
# 2. Poll the result until status = "completed"
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Read the output URL from data.outputs[0].Node.js example
// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY
const result = await client.run("alibaba/happyhorse-1.0/text-to-video", {});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"alibaba/happyhorse-1.0/text-to-video",
{}
)
print(output["outputs"][0]) # → URL of the generated outputHappy Horse 1.0 vs alternatives
When to pick Happy Horse 1.0 over similar models on WaveSpeedAI.
Happy Horse 1.0 vs Seedance 2.0
Seedance 2.0 has stronger cinematic camera motion and native audio. Happy Horse wins on character identity consistency across shots from a single reference.
Happy Horse 1.0 vs Kling 3.0
Kling 3.0 generates longer takes (up to 30s) and is cheaper per second. Happy Horse maintains specific character identity better when you need the same person/mascot across multiple separate generations.
Happy Horse 1.0 vs Wan 2.7
Wan 2.7 has multi-modal input + open weights + 1080p. Happy Horse focuses purely on character-driven content where identity preservation is the primary success metric.
Happy Horse 1.0 API — Frequently asked questions
Pricing, license, integration — common questions about running Happy Horse 1.0 on WaveSpeedAI.
What is the Happy Horse 1.0 API?
Happy Horse 1.0 is a Alibaba video generation model exposed as a REST API on WaveSpeedAI. Alibaba Happy Horse 1.0 — high-fidelity AI video generation with best-in-class character identity consistency across cuts and shots. You can call it programmatically or try it from the playground linked above.
How do I call the Happy Horse 1.0 API?
Sign up for a WaveSpeedAI account, copy your API key from /accesskey, then POST to https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/text-to-video with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to "completed", then read the output URL from data.outputs[0]. Full Python / Node.js / cURL examples are above.
How much does the Happy Horse 1.0 API cost?
Happy Horse 1.0 starts at $0.70 per run. The exact cost scales with the parameters you set (resolution, duration, output count, references). The live cost preview next to the Generate button in the playground shows the exact price for your current input.
Which Happy Horse 1.0 variants are available?
WaveSpeedAI hosts 5 Happy Horse 1.0 endpoints: alibaba/happyhorse-1.0/text-to-video, alibaba/happyhorse-1.0/image-to-video, alibaba/happyhorse-1.0/video-extend, alibaba/happyhorse-1.0/video-edit, alibaba/happyhorse-1.0/reference-to-video. Each variant has its own playground page and pricing.
Can I use Happy Horse 1.0 outputs commercially?
Commercial usage rights follow the Alibaba model license. Most Alibaba models permit commercial output use; see each model's playground page for the specific license summary, and WaveSpeedAI's Terms of Service for platform-level conditions.
Why use Happy Horse 1.0 on WaveSpeedAI instead of going direct?
One API key + one billing account across Happy Horse 1.0 AND 1,000+ other AI models from other providers. No per-vendor SDK setup, no separate rate-limit envelopes, no rewrite-per-vendor integration code. Pricing is typically at parity with or below Alibaba's direct API.
About Alibaba
The team behind Happy Horse 1.0 and the broader Alibaba model lineup on WaveSpeedAI.
Alibaba's Tongyi Lab produces the Wan family of video models and the Qwen family of LLMs. Wan is notable for being released with open weights, full-modality input support (text, image, video, and audio references in a single generation), and consistent strength on physics, motion, and multilingual prompts.
Start building with Happy Horse 1.0 on WaveSpeedAI
Free starter credits on signup. One API key across 1,000+ AI models from Alibaba and every other provider.