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HappyHorse 1.0 Video Edit

alibaba /

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-video
Đầu vào

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$0.7cho mỗi lần chạy·~14 / $10

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Change the setting in the video to a fashion runway.

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README

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.

Related Models

Lưu ý:Trang web này sử dụng các mô hình AI do bên thứ ba cung cấp.

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. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Happyhorse 1.0 Video Edit below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "resolution": "720p"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/video-edit" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/video-edit";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
        "resolution": "720p"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4",
    "resolution": "720p"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.0/video-edit", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. 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 long does Happyhorse 1.0 Video Edit take to generate?

Median end-to-end generation time on WaveSpeedAI is around 369 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

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.

HappyHorse 1.0 Video Edit | AI Video Editing API | WaveSpeedAI