High Fidelity 3

Improved fidelity upscaling for high-resolution images and professional photos

Model Overview

High Fidelity 3 is a precision upscaling model designed to deliver the best results on high-resolution sources. This model improves on High Fidelity 2 with enhanced resolution scaling and minimal detail loss or artifacting. It focuses on preserving original image structure and realism, reducing the plasticky appearance and excess artifacts seen in earlier models while maintaining a clean, natural output.

High Fidelity 3 performs best on medium to high and high quality images, including modern photos, RAW images, and smartphone photography, and supports a wide range of content such as portraits, landscapes, wildlife, and images with graphics.

Key Capabilities

• Higher quality upscaling with improved detail retention and fewer artifacts compared to High Fidelity 2.

• Preserves natural image structure with reduced plasticky appearance and more consistent textures.

• Optimized for high-quality images, delivering clean results beyond traditional resizing.

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 — "Upscale High Fidelity V3"

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

• recovery_strength — float from 0.0 to 1.0, default 1.0

• opacity — float from 0.0 to 1.0, default 1.0

Examples

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