Low Resolution 2

Recovery-focused upscaling for low resolution or heavily compressed sources

Model Overview

Low Resolution 2 is optimized for images that start with limited detail, heavy compression, or small dimensions. It focuses on intelligent reconstruction to recover usable detail from challenging sources without modifying the source characteristics.

Key Capabilities

• Designed for low-resolution and compressed images

• Recovers usable detail from difficult inputs

• Improves clarity while avoiding exaggerated artifacts

Model Pricing

Output MP	1	4	8	16	24	32	40	50	64	100
Credits	1	1	1	1	1	2	2	3	3	5

Getting Started

Endpoint

• https://api.topazlabs.com/image/v1/enhance/async

  • model — "Low Resolution V2"

Endpoint-Specific Parameters

• face_enhancement — boolean

  • Leverages our face recovery model to enhance faces.

• face_enhancement_strength — decimal between 0 and 1 (required if face_enhancement=true)

  • Sets the strength of the face recovery.

• face_enhancement_creativity — decimal between 0 and 1 (required if face_enhancement=true)

  • Choose realistic or creative face recovery.

• subject_detection — "foreground", "background", or "all"

  • Choose where enhancements are applied.

• sharpen — decimal between 0 and 1

  • Slightly sharpens the image.

• denoise — decimal between 0 and 1

  • Reduces noise in the image.

• fix_compression — decimal between 0 and 1

  • Reduces compression artifacts to improve details.

• strength — decimal between 0.01 and 1

  • Controls model strength. Too high of a result can make results look unrealistic.

These parameters should be appended as key-value fields in the form-data request bodies (i.e. alongside the model, output_height, and face_enhancement etc. fields). Any parameters not explicitly provided are automatically configured by our auto-parameter model. Extra parameters provided that are not supported are ignored.

Model-Specific Parameters

• No parameters

Resolution Limits

• input — 512 MP

• output — 1024 MP

Examples

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