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Alibaba Happyhorse 1.0 Video Edit

Alibaba Happyhorse 1.0 Video Edit

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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.

Features

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.


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

ParameterRequiredDescription
videoYesSource video to edit.
promptYesText description of the desired edits.
imagesNoOptional reference images. Supports 0–9 images.
resolutionNoOutput resolution: 720p (default) or 1080p.
seedNoRandom seed for reproducibility. Range: 0–2147483647.

How to Use

  1. Upload your source video — provide the video you want to edit.
  2. Write your prompt — describe the desired transformation, including style, scene changes, atmosphere, or subject adjustments.
  3. Add reference images (optional) — upload 0–9 images if you want stronger control over identity, styling, or visual direction.
  4. Choose resolution — use 720p for lower-cost iteration or 1080p for higher-quality output.
  5. Set a seed (optional) — use a fixed seed for more reproducible edits.
  6. 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

ResolutionCost
720p$0.70
1080p$1.40

Example Costs

Resolution3s5s10s15s
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 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 the 720p rate.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/video-edit" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "resolution": "720p"
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
videostringYes-The source video to edit.
imagesarrayNo[]-Reference images for video editing (0-9).
promptstringYes-Text description of the desired edits.
resolutionstringNo720p720p, 1080pOutput video resolution.
seedintegerNo--1 ~ 2147483647Random seed for reproducibility.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsobjectArray of URLs to the generated content.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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