Happy Horse 1.0 API

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.

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.

text-to-videofrom $0.70

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.

image-to-videofrom $0.70

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-extendfrom $0.70

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.

video-to-videofrom $0.70

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.

image-to-videofrom $0.70

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. 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. 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. 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. 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.

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.

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).

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.

# 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].

// 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 output

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "alibaba/happyhorse-1.0/text-to-video",
    {}
)
print(output["outputs"][0])  # → URL of the generated output

Happy Horse 1.0 vs alternatives

When to pick Happy Horse 1.0 over similar models on WaveSpeedAI.

Happy Horse 1.0 API — Frequently asked questions

Pricing, license, integration — common questions about running Happy Horse 1.0 on WaveSpeedAI.

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, broad variant coverage (text-to-video, image-to-video, reference-to-video, video-edit, video-extend, image-edit, text-to-image), and consistent strength on motion stability and prompt adherence across multilingual prompts.

Related model APIs on WaveSpeedAI

Other AI APIs from Alibaba and the rest of the video model lineup — one API key, one billing account.