# High Fidelity 2

### Model Overview

**High Fidelity 2** is a precision upscaling model designed for images that are already high resolution and well captured. It focuses on enlarging images while preserving fine detail, natural texture, and structural accuracy, avoiding aggressive reconstruction or over-sharpening.

### Key Capabilities

* High-fidelity upscaling for already high-resolution sources
* Preserves fine detail and original texture during enlargement

### Model Pricing

<table data-header-hidden data-full-width="false"><thead><tr><th width="119.84765625">Text</th><th width="60.390625" data-type="number">Number</th><th width="59.5390625" data-type="number"></th><th width="60.0859375" data-type="number"></th><th width="60.265625" data-type="number"></th><th width="59.94140625" data-type="number"></th><th width="59.5390625" data-type="number"></th><th width="60.34375" data-type="number"></th><th width="59.9296875" data-type="number"></th><th width="59.828125" data-type="number"></th><th width="59.5078125" data-type="number"></th></tr></thead><tbody><tr><td><code>Output MP</code></td><td>1</td><td>4</td><td>8</td><td>16</td><td>24</td><td>32</td><td>40</td><td>50</td><td>64</td><td>100</td></tr><tr><td><code>Credits</code></td><td>1</td><td>1</td><td>1</td><td>1</td><td>1</td><td>2</td><td>2</td><td>3</td><td>3</td><td>5</td></tr></tbody></table>

### Getting Started

**Endpoint**

* <https://api.topazlabs.com/image/v1/enhance/async>
  * `model` — `"High Fidelity V2"`

<details>

<summary><strong>Endpoint-Specific Parameters</strong></summary>

* `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.

</details>

**Model-Specific Parameters**

* No parameters

### Examples

<table data-card-size="large" data-view="cards"><thead><tr><th align="center"></th><th data-hidden data-card-cover data-type="image">Cover image</th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td align="center">Click to view</td><td><a href="https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2FuRG1s252U7MdGBsFAGSi%2FHigh_Fidelity_2_(Ex_1)_slider.jpg?alt=media&#x26;token=d12342c6-3b12-46f5-906d-7bd3ae5df4c3">High_Fidelity_2_(Ex_1)_slider.jpg</a></td><td><a href="https://compare.topazlabs.com/share/image?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2FHigh%20Fidelity%20Before.jpg&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2FHigh%20Fidelity%20v2%2002.jpg&#x26;src2label=After&#x26;zoom=1">https://compare.topazlabs.com/share/image?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2FHigh%20Fidelity%20Before.jpg&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2FHigh%20Fidelity%20v2%2002.jpg&#x26;src2label=After&#x26;zoom=1</a></td></tr><tr><td align="center">Click to view</td><td><a href="https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2F3xxN4tLs7gw6RlQMnWyq%2FHigh_Fidelity_2_(Ex_2)_slider.jpg?alt=media&#x26;token=f9215441-0093-49cb-b4d5-6a4664d85146">High_Fidelity_2_(Ex_2)_slider.jpg</a></td><td><a href="https://compare.topazlabs.com/share/image?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fpexels-pixabay-70080.jpg&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2FHigh%20Fid%204xpexels-pixabay-70080-gigapixel-high%20fidelity%20v2-4x.jpg&#x26;src2label=After&#x26;zoom=1">https://compare.topazlabs.com/share/image?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fpexels-pixabay-70080.jpg&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2FHigh%20Fid%204xpexels-pixabay-70080-gigapixel-high%20fidelity%20v2-4x.jpg&#x26;src2label=After&#x26;zoom=1</a></td></tr></tbody></table>