Art & CGI

Precision upscaling for artwork, drawings, illustrations, and computer graphics

Model Overview

Art & CGI is tailored for non-photographic imagery such as illustrations, digital art, renders, and stylized graphics. It preserves clean edges, flat color regions, and intentional line work without introducing photographic texture.

Key Capabilities

• Optimized for illustrations, digital art, and CGI

• Preserves clean edges and flat color areas

• Avoids unwanted photographic texture or noise

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 — "CGI"

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

• deblur_strength — decimal between 0 and 1, default 0.5

  • Adjusts the strength of the deblur.

Resolution Limits

• input — 512 MP

• output — 1024 MP

Examples

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