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MODEL ID topazlabs:starlight-precise@2.5
api-only

Topaz Labs Starlight Precise 2.5

Topaz Labs
by Topaz Labs

Starlight Precise 2.5 is a diffusion-based video enhancement model from Topaz Labs that upscales, denoises, de-aliases, and sharpens video while maintaining full temporal consistency across frames. It delivers photorealistic detail with natural skin textures and faces, preserving the original look of the footage without artificial artifacts.

Topaz Labs Starlight Precise 2.5

API Options

Platform-level options for task execution and delivery.

taskType

string required value: upscale

Identifier for the type of task being performed

taskUUID

string required UUID v4

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

outputType

string default: URL

Video output type.

Allowed values 1 value

outputFormat

string default: 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 values 3 values

outputQuality

integer min: 20 max: 99 default: 95

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

webhookURL

string URI

Specifies a webhook URL where JSON responses will be sent 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 more 1 resource

deliveryMethod

string default: async

Determines how the API delivers task results.

Allowed values 1 value
Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse. Required for long-running tasks like video generation.
Learn more 1 resource

uploadEndpoint

string URI

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

integer min: 60

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

includeCost

boolean default: false

Include task cost in the response.

Inputs

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

video

string required

Video input (UUID or URL).

Generation Parameters

Core parameters for controlling the generated content.

model

string required value: topazlabs:starlight-precise@2.5

Identifier of the model to use for generation.

Learn more 3 resources

width

integer required min: 1 max: 3840

Target output width. The aspect ratio is preserved by computing an upscaling factor using the shorter edge.

Learn more 2 resources

height

integer required min: 1 max: 2160

Target output height. The aspect ratio is preserved by computing an upscaling factor using the shorter edge.

Learn more 2 resources

fps

float min: 15 max: 120

Output frame rate. Minimum is 15 or the input video's frame rate, whichever is higher.

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