Runwayml Upscale V1 API Documentation
Playground
Try it on WaveSpeedAI!RunwayML Upscale V1 upscales videos to 4K via simple file upload, billed at $0.11 per 5 seconds for fast, high-quality upscaling. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
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
> Billing duration: Input media duration is rounded up to whole seconds. The minimum billed duration is 3 seconds; shorter inputs are billed as 3 seconds. Existing per-5-second rate tables remain unchanged.
$0.11 per 5 seconds, prorated at $0.022 per second, with a 3-second minimum and 600-second maximum.
| Video length | Price |
|---|---|
| Up to 3s | $0.066 |
| 15s | $0.33 |
| 60s | $1.32 |
| 300s | $6.60 |
| 600s | $13.20 |
Best Use Cases
- Content Restoration — Upscale old or low-resolution footage for modern displays.
- Social Media — Enhance video quality before posting to platforms that compress uploads.
- Video Production — Improve B-roll or archival footage for professional projects.
- Streaming & Broadcast — Prepare lower-resolution content for HD or 4K delivery.
- Personal Archives — Revive old home videos and memories with improved clarity.
Pro Tips for Best Results
- Upload the highest-quality source available — avoid heavily compressed inputs when possible.
- Keep the original frame rate; avoid re-encoding before upload.
- For videos longer than 10 minutes, split into segments and process separately.
- Works best on content with clear subjects; extremely noisy or blurry sources may have limited improvement.
Notes
- If using a URL, ensure it is publicly accessible. A preview thumbnail in the interface confirms successful loading.
- Processing time varies based on video length and current queue load.
- For longer videos exceeding the 10-minute limit, split into multiple segments, process each, then merge afterward.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/runwayml/upscale-v1" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${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
doneParameters
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 | Output values, usually URL strings; some models return text strings or structured result objects (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 |
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 |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to poll for the prediction result |
| data.status | string | Status: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created |
| 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 |