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MODEL IDprunaai:p-video@upscale
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P-Video-Upscale

Pruna AI
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P-Video-Upscale is Pruna AI's video upscaling model for raising an existing clip to 720p, 1080p, 2K, or 4K while keeping its aspect ratio and audio track. It sharpens what is already in the frame without a prompt, can raise the frame rate to as much as 60 FPS by interpolating new frames, and offers a turbo mode that trades a little quality for speed. It works on live action, anime, game footage, and archival film, for bringing low-resolution generations or older footage up to delivery resolution.

P-Video-Upscale

API Options

Platform-level options for task execution and delivery.

taskType

stringrequiredvalue: upscale

Identifier for the type of task being performed.

taskUUID

stringrequiredUUID v4

UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.

outputType

stringdefault: URL

Video output type.

Allowed values1 value

outputFormat

stringdefault: MP4

Specifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.

  • `MP4`: Widely supported video container (H.264), recommended for general use.
  • `WEBM`: Optimized for web delivery.
  • `MOV`: QuickTime format, common in professional workflows (Apple ecosystem).
Allowed values3 values

outputQuality

integermin: 20max: 99default: 95

Compression quality of the output. Higher values preserve quality but increase file size.

webhookURL

stringuri

Webhook URL that receives JSON responses via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.

Learn more1 resource

deliveryMethod

stringdefault: async

Determines how the API delivers task results.

Allowed values2 values
Returns results directly in the API response. Over HTTP, a task still running after 120 seconds continues as an async task and comes back with status 'processing'. Poll for its results using getResponse.
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more1 resource

uploadEndpoint

stringuri

Specifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.

Common use cases:

  • Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
  • CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload
https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600

// Google Cloud Storage presigned URL
https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789

// Custom storage endpoint
https://storage.example.com/uploads/generated-image.jpg

The content data will be sent as the request body to the specified URL when generation is complete.

ttl

integermin: 60

Time-to-live (TTL) in seconds for generated content. Only applies when outputType is URL.

includeCost

boolean

Include task cost in the response.

routing

object

Model router options. Only read when model is auto, and never sent to the model.

Properties3 properties
routing » preferences

preferences

object

Relative importance of each dimension when models are compared. Weights, not thresholds.

Properties3 properties
routing » preferences » quality
quality
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » preferences » speed
speed
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » preferences » cost
cost
integermin: 0max: 5

Importance of one dimension. 0 leaves it out of the decision.

routing » maxPrice

maxPrice

floatmin: 0

Upper bound on what this request may cost, in USD. A model whose cost cannot be bounded is not chosen.

routing » requirements

requirements

stringmax: 3000

Conditions the result has to meet, in plain words, such as a style or a feature. A model that cannot meet them is not chosen. Output size is set with width and height rather than described here.

Inputs

Input resources for the task (images, audio, etc). These must be nested inside the inputs object.

inputs » video

video

stringrequired1 limit

Video input (UUID or URL).

Core Parameters

Primary parameters that define the task output.

model

stringrequiredvalue: prunaai:p-video@upscale

Send auto instead of an AIR identifier to have the model router choose the model for this task. The rest of the request is unchanged, every value you send is kept, and only the parameters you leave out are filled in. See Model Router.

Learn more3 resources

resolution

stringdefault: 1080p

Resolution preset for the output. When used with input media, automatically matches the aspect ratio from the input. A source already larger than the preset is not downscaled.

Allowed values4 values

fps

integermin: 16max: 60

Output frame rate. Defaults to the source frame rate, up to 60. A rate above the source is interpolated.

Settings

Technical parameters to fine-tune the inference process. These must be nested inside the settings object.

settings » safetyFilter

safetyFilter

boolean

Content safety filtering.

settings » turbo

turbo

boolean

Enable turbo mode for faster generation. May reduce subtle details in complex tasks.

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