Alibaba HappyHorse 1.1 Video Extend extends existing videos with seamless AI-generated continuation, supporting 720P / 1080P output while preserving visual continuity and motion consistency. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
En attente
$0.7par exécution·~14 / $10
A black cat wearing a tiny detective collar, sitting at the entrance of a narrow London alley, with wet cobblestones, warm window light, fog, a cinematic mystery atmosphere, realistic animal photography.
Alibaba Happy Horse 1.1 Video Extend continues an existing video clip with new AI-generated footage, seamlessly extending the scene from where the original ends. Upload a source video, describe how the video should continue, and generate a coherent continuation in 720p or 1080p.
Seamless video continuation
Extend an existing clip with newly generated footage that picks up naturally from the original ending.
Prompt-guided scene progression
Describe how the action, camera movement, atmosphere, or story should continue using natural language.
Cinematic motion
Generate smooth, expressive motion while preserving the overall feel and flow of the source video.
Flexible resolution options
Choose 720p for lower-cost iteration or 1080p for higher-resolution output.
Production-ready API
Access the model through a REST inference API for scalable integration into creative workflows.
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Source video to extend. |
| prompt | Yes | Text description of the desired continuation. |
| resolution | No | Output resolution: 720p default or 1080p. |
| duration | No | Total output duration in seconds. Range: 3–15, default 5. |
| seed | No | Random seed for reproducibility. Range: 0–2147483647. |
720p for lower-cost iteration or 1080p for higher-resolution output.3 and 15 seconds.Continue the scene with a slow forward camera movement, the subject walking deeper into the alley, soft rain beginning to fall, stronger reflections on the ground, and a cinematic moody nighttime atmosphere.
| Resolution | Cost |
|---|---|
| 720p | $0.70 |
| 1080p | $0.945 |
| Resolution | Cost |
|---|---|
| 720p | $0.14 |
| 1080p | $0.189 |
| Resolution | 3s | 5s | 10s | 15s |
|---|---|---|---|---|
| 720p | $0.42 | $0.70 | $1.40 | $2.10 |
| 1080p | $0.567 | $0.945 | $1.89 | $2.835 |
720p for quick testing, then switch to 1080p for higher-resolution output.seed when you want more reproducible generations.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.1/video-extend 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 URLs from data.outputs. Examples for Happyhorse 1.1 Video Extend below.
# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
-X POST "https://api.wavespeed.ai/api/v3/alibaba/happyhorse-1.1/video-extend" \
-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",
"duration": 5
}'
# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
--retry 4 --retry-all-errors --retry-delay 1 \
-X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.// npm install wavespeed
const { Client } = require('wavespeed');
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);
try {
const result = await client.run("alibaba/happyhorse-1.1/video-extend", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"video": "https://example.com/your-input.mp4",
"resolution": "720p",
"duration": 5
}, {
timeout: 3600,
pollInterval: 2.0,
});
console.log(result.outputs);
} catch (error) {
console.error('Generation failed:', error);
process.exitCode = 1;
}# pip install wavespeed
import os
from wavespeed import Client
client = Client(api_key=os.environ["WAVESPEED_API_KEY"])
try:
output = client.run(
"alibaba/happyhorse-1.1/video-extend",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"video": "https://example.com/your-input.mp4",
"resolution": "720p",
"duration": 5
},
timeout=3600.0,
poll_interval=2.0,
)
print(output["outputs"])
except Exception as error:
raise SystemExit(f"Generation failed: {error}") from errorHappyhorse 1.1 Video Extend is a Alibaba model for video extension, exposed as a REST API on WaveSpeedAI. Alibaba HappyHorse 1.1 Video Extend extends existing videos with seamless AI-generated continuation, supporting 720P / 1080P output while preserving visual continuity and motion consistency. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
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-1.1-video-extend.
Happyhorse 1.1 Video Extend 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.
Key inputs: `prompt`, `video`, `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-1.1-video-extend.
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.
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.