Wonder 2

The most advanced generative realism model for challenging images

Model Overview

Wonder 2 is the second-generation Wonder model and the most advanced realism-focused image enhancement model in the family. It is designed to handle extremely challenging, low-resolution images and produce outputs that look clean, natural, and professional.

Wonder 2 restores sharper, more natural detail across the image, resolving plasticky or airbrushed artifacts to produce clean, realistic results. It recovers skin texture, facial features, hair, fabric, and environmental detail while minimizing artifacts and avoiding unnecessary changes to the source during upscaling.

Key Capabilities

• Second-generation generative enhancement for difficult or low-quality images

• Restores sharper, more natural detail with strong artifact prevention

• Preserves text, logos, and fine details when source quality allows

Model Pricing

Output MP	1	4	8	16	24	32	40	50	64	100
Credits	1	1	2	4	6	8	10	13	16	25

Getting Started

Endpoint

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

  • model — "Wonder 2"

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.

• prompt — string, default ""; max 1024 char

  • A description of the resulting image you are looking for. The model responds more to a descriptive statement versus a directive one. For example, use the phrase "girl with red hair and blue eyes" instead of "change the girl's hair to red and make her eyes blue"

• autoprompt — boolean (if enabled, ignores value given to prompt)

  • Whether you want to use our state-of-the-art auto-prompting model to auto-generate a prompt for you.

• creativity — integer between 1 and 9, default 3

  • Lower creativity values maintain the highest fidelity to the original image. Higher values take more liberties and provide more creative results for specific details.

• texture — integer between 1 and 5 (recommend 1 at low creativity, 3 at higher creativity)

  • Add texture to the image. Recommend setting texture to 1 for at a low creativity level, and 3 for more creative results at a higher creativity level.

• sharpen — decimal between 0 and 1

  • Slightly sharpens the image.

• denoise — decimal between 0 and 1

  • Reduces noise in the image.

• detail — boolean, default false

  • Adjusts the level of added detail after rendering.

• detail_strength — decimal between 0 and 10 (required if detail=true)

  • Sets the strength of the detail.

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

• pre_downscale: int, default: 1 <= x <= 4, default = 1

  • Control pre-downscaling for false resolution images

• color_correction: bool, default = False

  • Whether to use color correction during post-processing

Examples

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