HappyHorse 1.0 Reference to Video | Fast Image-to-Video API

Alibaba Happy Horse 1.0 Reference-to-Video

Alibaba Happy Horse 1.0 Reference-to-Video generates new video scenes guided by one or more reference images, helping maintain consistent characters, styles, and visual identity across the output. It combines reference-image grounding with natural-language prompting to create cinematic videos in 720p or 1080p.

Need to generate directly from text? Try Alibaba Happy Horse 1.0 Text-to-Video.
Need to animate a single starting frame instead? Try Alibaba Happy Horse 1.0 Image-to-Video.

Why Choose This?

Reference-guided consistency Use up to multiple reference images to preserve character identity, visual style, outfit details, and overall scene language.
Prompt + image control Combine reference images with a text prompt to control the scene, action, mood, and camera behavior more precisely.
Cinematic motion Generate smooth, expressive video motion while keeping important visual elements stable and recognizable.
Flexible output settings Choose output resolution, aspect ratio, duration, and seed to match your creative and production needs.
Production-ready API Access the model through a REST inference API with no cold starts for scalable integration into apps and workflows.

Parameters

Parameter	Required	Description
images	Yes	Reference image URLs. Supports `1–9` images.
prompt	Yes	Text description of the desired scene, action, style, or motion.
resolution	No	Output resolution: `720p` (default) or `1080p`.
aspect_ratio	No	Output aspect ratio. Default: `16:9`.
duration	No	Video length in seconds. Range: `3–15`, default `5`.
seed	No	Random seed for reproducibility. Range: `0–2147483647`.

How to Use

Upload your reference images — provide 1–9 image URLs that define the character, style, or visual identity you want to preserve.
Write your prompt — describe the target scene, action, camera behavior, lighting, and mood.
Choose resolution — use 720p for lower-cost iteration or 1080p for higher-quality final output.
Set aspect ratio — choose the format that best fits your target platform or composition needs.
Set duration — choose a clip length between 3 and 15 seconds.
Set a seed (optional) — use a fixed seed for more reproducible generations.
Submit — generate and download your video.

Example Prompt

A cinematic fashion scene with the same character walking through a softly lit modern city street at night, gentle camera tracking, subtle wind in the hair and clothing, elegant movement, realistic lighting, premium commercial style

Pricing

Per 5 Seconds

Resolution	Cost
720p	$0.70
1080p	$1.40

Example Costs

Resolution	3s	5s	10s	15s
720p	$0.42	$0.70	$1.40	$2.10
1080p	$0.84	$1.40	$2.80	$4.20

Billing Rules

Base price: 720p costs $0.70 per 5 seconds
1080p surcharge: 1080p costs 2× the 720p rate
Total price formula:
total_price = 0.70 × (resolution == "1080p" ? 2 : 1) × duration / 5

Best Use Cases

Character consistency across scenes — Keep the same person, outfit, or visual identity across multiple generated videos.
Brand and campaign content — Maintain a stable look and style across ad creatives, promos, and commercial storytelling.
Style-preserving video generation — Use reference images to anchor art direction, color palette, and visual tone.
Narrative concepting — Generate new scenes based on known characters or environments for storyboarding and ideation.
Social media and short-form content — Create visually consistent clips tailored to different platforms and aspect ratios.
Creative prototyping — Explore motion and scene variations while preserving core reference details.

Pro Tips

Use clear, high-quality reference images that strongly represent the character, outfit, or style you want to preserve.
Include multiple reference images when consistency across facial features, costume details, or design elements is important.
Be specific in your prompt about scene, action, camera motion, lighting, and mood.
Use 720p for rapid testing, then switch to 1080p for final-quality renders.
Reuse the same seed when you want more reproducible outputs.
Start with shorter durations to validate identity consistency and motion before generating longer clips.

Notes

Both images and prompt are required.
images supports 1–9 reference image URLs.
Ensure all image URLs are publicly accessible.
Supported video duration is 3–15 seconds.
Supported resolutions are 720p and 1080p.
Pricing scales linearly with duration.
1080p pricing is exactly 2× the 720p rate.
Please ensure your content complies with applicable usage policies.

Related Models

Alibaba Happy Horse 1.0 Text-to-Video — Generate cinematic videos directly from natural-language prompts.
Alibaba Happy Horse 1.0 Image-to-Video — Animate a single reference image into a cinematic video clip.

Happyhorse 1.0 Reference To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/reference-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]. Examples for Happyhorse 1.0 Reference To Video below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/reference-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "duration": 5,
    "seed": 0
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("alibaba/happyhorse-1.0/reference-to-video", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "resolution": "720p",
        "aspect_ratio": "16:9",
        "duration": 5,
        "seed": 0
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "alibaba/happyhorse-1.0/reference-to-video",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "resolution": "720p",
    "aspect_ratio": "16:9",
    "duration": 5,
    "seed": 0
}
)

print(output["outputs"][0])  # → URL of the generated output

Happyhorse 1.0 Reference To Video API — Frequently asked questions

What is the Happyhorse 1.0 Reference To Video API?

Happyhorse 1.0 Reference To Video is a Alibaba model for video generation from images, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.

How do I call the Happyhorse 1.0 Reference To Video API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/alibaba/alibaba-happyhorse-1.0-reference-to-video.

How much does Happyhorse 1.0 Reference To Video cost per run?

Happyhorse 1.0 Reference To Video starts at $0.70 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Happyhorse 1.0 Reference To Video accept?

Key inputs: `prompt`, `images`, `aspect_ratio`, `resolution`, `duration`, `seed`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/alibaba/alibaba-happyhorse-1.0-reference-to-video.

How do I get started with the Happyhorse 1.0 Reference To Video API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Happyhorse 1.0 Reference To Video outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Alibaba). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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