Normal

General-purpose noise reduction

Model Overview

Denoise Normal is designed for everyday images with low-to-medium noise caused by low-light conditions or compression, preserving detail without over-processing.

Key Capabilities

• Removes common low-light and compression noise

• Preserves fine detail and natural texture

• For non-RAW images, recommended starting point for denoising

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/denoise/async

  • model — "Normal"

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.

• strength — decimal between 0.01 and 1

  • Reduces noise in the image. Too high can remove detail and slightly blur the image.

• minor_deblur — decimal between 0.01 and 1

  • Slightly sharpens the image. Counteracts softness caused by noise reduction.

• original_detail — decimal between 0 and 1

  • Return texture and fine details lost during noise reduction. Start at low values and slowly increase.

• denoise_strength — decimal between 0 and 1, default 0.5

  • Sets the strength of the denoise.

• sharpen_strength — decimal between 0 and 1, default 0.5

  • Sets the strength of the sharpening.

• opacity — decimal between 0 and 1, default 1.0

  • Adjust strength of opacity.

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 — 512 MP

Examples

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