Wonder 3

Most advanced generative realism model for upscaling images

Model Overview

Wonder 3 is an updated generative upscaling model designed to deliver significantly higher quality results with more natural detail and improved realism across a wide range of image types. It supports both high-quality inputs and heavily degraded or compressed images, with selectable Low, Medium, and High enhancement levels for greater control across varying input conditions.

Wonder 3 performs across all resolution levels and is well suited for portraits, landscapes, wildlife, and complex textures such as fabrics, metallics, feathers, and skin. It also improves on Wonder 2 by resolving challenging edge cases and reducing the plasticky appearance and artifacts seen in earlier versions.

Key Capabilities

  • Higher quality results with more natural detail and improved realism.

  • Handles both high-quality inputs and heavily degraded images with consistent performance.

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

  • Multi-level enhancement control for adjusting strength across a range of input conditions.

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

chevron-rightEndpoint-Specific Parametershashtag
  • 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

  • enhancement_strength"high", "medium" , "low"

Examples

Last updated