High Fidelity 2

Fidelity upscaling for high-resolution images and professional photos

Model Overview

High Fidelity 2 is a precision upscaling model designed for images that are already high resolution and well captured. It focuses on enlarging images while preserving fine detail, natural texture, and structural accuracy, avoiding aggressive reconstruction or over-sharpening.

Key Capabilities

• High-fidelity upscaling for already high-resolution sources

• Preserves fine detail and original texture during enlargement

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 — "High Fidelity 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

Examples

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