Runwayml Gen4 Aleph
Playground
Try it on WavespeedAI!RunwayML Gen4 Aleph is a Video-to-Video model for editing, transforming, and generating video at $0.18 per second. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
RunwayML Gen4 Aleph V2V
A powerful video-to-video generation model that creates high-quality videos from videos.
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/runwayml/gen4-aleph" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"aspect_ratio": "16:9"
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| video | string | Yes | - | Input video to generate from. Videos must be less than 16MB. Only 5s of the input video will be used. | |
| aspect_ratio | string | No | 16:9 | 16:9, 4:3, 1:1, 3:4, 9:16 | The aspect ratio of the generated media. |
| reference_image | string | No | - | - | Reference image to influence the style or content of the output |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |