HappyHorse 1.0 Video Edit | AI Video Enhancement API

Alibaba Happy Horse 1.0 Video Edit

Alibaba Happy Horse 1.0 Video Edit performs prompt-driven editing on existing videos, with optional multi-image reference support for stronger visual guidance and identity consistency. Upload a source video, describe the desired edits, and the model generates a transformed video clip in 720p or 1080p.

Need to generate a video from scratch? Try Alibaba Happy Horse 1.0 Text-to-Video.
Need reference-guided scene generation? Try Alibaba Happy Horse 1.0 Reference-to-Video.

Why Choose This?

Prompt-driven video editing Edit existing videos using natural-language instructions for style, mood, action, and visual transformation.
Optional reference-image support Add up to multiple reference images to better guide character appearance, style consistency, and visual identity.
Consistent output workflow Keep the structure of the original video while transforming its look, atmosphere, or subject details.
Flexible resolution options Choose 720p for lower-cost iteration or 1080p for higher-quality final outputs.
Production-ready API Access the model through a REST inference API with no cold starts for scalable creative workflows.

Parameters

Parameter	Required	Description
video	Yes	Source video to edit.
prompt	Yes	Text description of the desired edits.
images	No	Optional reference images. Supports `0–9` images.
resolution	No	Output resolution: `720p` (default) or `1080p`.
seed	No	Random seed for reproducibility. Range: `0–2147483647`.

How to Use

Upload your source video — provide the video you want to edit.
Write your prompt — describe the desired transformation, including style, scene changes, atmosphere, or subject adjustments.
Add reference images (optional) — upload 0–9 images if you want stronger control over identity, styling, or visual direction.
Choose resolution — use 720p for lower-cost iteration or 1080p for higher-quality output.
Set a seed (optional) — use a fixed seed for more reproducible edits.
Submit — generate and download the edited video.

Example Prompt

Transform this street video into a cinematic neo-noir scene with rainy atmosphere, stronger reflections on the ground, richer contrast, subtle slow-motion feeling, dramatic lighting, and a premium commercial look

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
Billing duration: based on output video duration, clamped to 3–15 seconds
When input video is ≤ 15s: output duration matches the input duration
When input video is > 15s: the system automatically trims to the first 15s
Total price formula:
total_price = 0.70 × (resolution == "1080p" ? 2 : 1) × clamp(output_duration, 3, 15) / 5

Best Use Cases

Style transformation — Rework existing footage into new visual styles, moods, or cinematic looks.
Ad creative adaptation — Turn one source video into multiple campaign variations with different art directions.
Character and identity guidance — Use reference images to better preserve appearance and branding cues.
Content repurposing — Refresh older video assets for new promotions, launches, or platform formats.
Social media optimization — Quickly generate visually distinct edits from the same original clip.
Creative prototyping — Explore multiple editing directions before committing to a full post-production workflow.

Pro Tips

Use a clear source video with stable framing for more predictable edits.
Be specific in your prompt about what should change and what should remain consistent.
Add reference images when character appearance, outfit details, or brand styling need tighter control.
Use 720p for fast testing, then switch to 1080p for final-quality outputs.
Reuse the same seed when you want more reproducible edits.
Keep important edit instructions concrete, such as lighting changes, style shifts, color mood, or scene atmosphere.

Notes

Both video and prompt are required.
images is optional and supports 0–9 reference images.
Ensure all video and image URLs are publicly accessible.
Output video duration is limited to 3–15 seconds.
When the input video exceeds 15 seconds, the system automatically trims it to the first 15 seconds.
Pricing is based on the output video duration, not the original full source length.
1080p pricing is exactly 2× the 720p rate.

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 clip.
Alibaba Happy Horse 1.0 Reference-to-Video — Generate new video scenes guided by reference images while preserving consistent identity.

Happyhorse 1.0 Video Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/video-edit 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 Video Edit below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/video-edit" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "resolution": "720p",
    "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/video-edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://example.com/your-input.mp4",
        "resolution": "720p",
        "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/video-edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://example.com/your-input.mp4",
    "resolution": "720p",
    "seed": 0
}
)

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

Happyhorse 1.0 Video Edit API — Frequently asked questions

What is the Happyhorse 1.0 Video Edit API?

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

How do I call the Happyhorse 1.0 Video Edit 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-video-edit.

How much does Happyhorse 1.0 Video Edit cost per run?

Happyhorse 1.0 Video Edit 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 Video Edit accept?

Key inputs: `prompt`, `images`, `video`, `resolution`, `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-video-edit.

How do I get started with the Happyhorse 1.0 Video Edit 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 Video Edit 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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