Runwayml Upscale V1
Playground
Try it on WavespeedAI!RunwayML Upscale V1 upscales videos to 4K via simple file upload, billed at $0.02/sec for fast, high-quality upscaling. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Runway Video Upscaler V1
Enhance your video resolution with Runway’s AI-powered upscaling technology. Simply upload a video and get back a higher-resolution version with improved clarity, sharper details, and cleaner edges — no complex settings required.
Why It Looks Great
- AI-enhanced detail: Reconstructs fine textures, edges, and details that traditional upscaling cannot recover.
- Temporal consistency: Maintains stable quality across frames, minimizing flickering and artifacts.
- Motion preservation: Keeps fast action and camera movements smooth without introducing blur.
- Artifact reduction: Cleans up compression noise and blocky artifacts from lower-quality sources.
- One-click simplicity: No parameters to tune — just upload and upscale.
Parameters
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Source video file (upload or public URL). Max 10 minutes. |
How to Use
- Upload your video — drag and drop or paste a public URL.
- Run — click the button to start processing.
- Download — preview and save your upscaled video.
Pricing
Per-second billing with a 5-second minimum. Maximum video length: 10 minutes.
| Metric | Cost |
|---|---|
| Per second | $0.02 |
| Minimum charge | $0.10 (5 seconds) |
Billing Rules
- Minimum charge: 5 seconds ($0.10)
- Maximum duration: 600 seconds (10 minutes)
- Billed duration: Video length in seconds (rounded down), with 5-second minimum
- Total cost: Billed duration × $0.02
Examples
| Video Length | Billed Duration | Total Cost |
|---|---|---|
| 3s | 5s (minimum) | $0.10 |
| 15s | 15s | $0.30 |
| 1m (60s) | 60s | $1.20 |
| 5m (300s) | 300s | $6.00 |
| 10m (600s) | 600s (maximum) | $12.00 |
Best Use Cases
- Content Restoration — Upscale old or low-resolution footage for modern displays.
- Social Media — Enhance video quality before posting to platforms that compress uploads.
- Video Production — Improve B-roll or archival footage for professional projects.
- Streaming & Broadcast — Prepare lower-resolution content for HD or 4K delivery.
- Personal Archives — Revive old home videos and memories with improved clarity.
Pro Tips for Best Results
- Upload the highest-quality source available — avoid heavily compressed inputs when possible.
- Keep the original frame rate; avoid re-encoding before upload.
- For videos longer than 10 minutes, split into segments and process separately.
- Works best on content with clear subjects; extremely noisy or blurry sources may have limited improvement.
Notes
- If using a URL, ensure it is publicly accessible. A preview thumbnail in the interface confirms successful loading.
- Processing time varies based on video length and current queue load.
- For longer videos exceeding the 10-minute limit, split into multiple segments, process each, then merge afterward.
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/upscale-v1" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| video | string | Yes | - | The video to upscale. |
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 |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | 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.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 |