Starlight HQ

Maximum quality generative enhancement for modern high-resolution video

Model Overview

Starlight HQ is a high quality enhancement model designed for modern, high resolution video sources. It delivers a strong balance of detail and sharpness while preserving the visual intent of the original footage.

Unlike restoration focused models such as Starlight Mini, HQ is optimized for clean progressive video and larger source resolutions. It supports inputs from 480p through 4K and can render native 4K outputs, making it well suited for modern digital camera footage and high resolution finishing.

Starlight HQ can run locally in Topaz Video or in the cloud via API. For local processing, the model uses a larger architecture that prioritizes visual fidelity over speed and requires an NVIDIA GPU with at least 10GB of VRAM, with 12GB or more recommended.

Key Capabilities

• High fidelity diffusion enhancement for modern digital camera sources

• Supports larger inputs up to 4K with native 4K output

• Ideal for high resolution workflows where maximum visual quality is the priority

Pricing

Frames Per Credit — 1080p	Frames Per Credit — 4k
~26	~12

For more accurate estimates we recommend checking out our Credit Calculator.

Getting Started

Endpoint

• https://api.topazlabs.com/video/

  • model — "slhq-1"

Model-Specific Parameters

• start_idx — integer, default 0

• end_idx — decimal, default 1000000.0

• upscaling_factor — decimal, default 1.0

• low_sharpness — boolean, default false

• keep_original — boolean, default false

• ffmpeg_encoding — string, optional

• ffmpeg_preproc_filters — string, default ""

Examples

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