# Gigapixel

### Model Family Overview

Essential image enhancement models designed for quality, precision, and control.

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Precision models attempt to improve quality without changing the source characteristics.
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### Key Features

* Industry-standard upscaling for photo, graphics, and print
* Advanced face recovery with generative and non-generative options: restore detail and faces in previously unrecoverable images.
* Precise, true-to-input image enhancement.

### Pricing

This family is priced at 1 credit per 24 megapixels of output. Below are costs for common outputs.

<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>

### Models

<table 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"><code>Standard 2</code></td><td><a href="https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2FL9L2F8qhYGrgKd3V7ruP%2FStandard_2_slider.jpg?alt=media&#x26;token=85da6863-36cb-4ef3-bf77-93031fb5bd66">Standard_2_slider.jpg</a></td><td><a href="gigapixel/standard-2">standard-2</a></td></tr><tr><td align="center"><code>High Fidelity 2</code></td><td><a href="https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2F2DwDfZ90J1n7VSEJblwk%2FHigh_Fidelity_2_(Ex_1)_slider.jpg?alt=media&#x26;token=31313fae-1983-421d-8009-100e0b1da1c6">High_Fidelity_2_(Ex_1)_slider.jpg</a></td><td><a href="gigapixel/high-fidelity-2">high-fidelity-2</a></td></tr><tr><td align="center"><code>Low Resolution 2</code></td><td><a href="https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2Flq9OFYW0n8IrLXGvg03J%2FLow_Resolution_2_slider.jpg?alt=media&#x26;token=57907895-ed99-474a-bdd0-cd8255ece048">Low_Resolution_2_slider.jpg</a></td><td><a href="gigapixel/low-resolution-2">low-resolution-2</a></td></tr><tr><td align="center"><code>Art &#x26; CGI</code></td><td><a href="https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2FCfGbXbTo9TRTnN5EPM84%2FArt__CGI_(Ex_1)_slider.jpg?alt=media&#x26;token=a938a920-d622-4286-b61c-e76f3c3dded6">Art__CGI_(Ex_1)_slider.jpg</a></td><td><a href="gigapixel/art-and-cgi">art-and-cgi</a></td></tr><tr><td align="center"><code>Transparent Image Upscale</code></td><td><a href="https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2Fp0RNKUXw955JeCvmGmpd%2FTransparent_Image_Upscale_slider.jpg?alt=media&#x26;token=5bfbefbc-9565-4f59-ac70-a7f075798f33">Transparent_Image_Upscale_slider.jpg</a></td><td><a href="gigapixel/transparent-image-upscale">transparent-image-upscale</a></td></tr><tr><td align="center"><code>Detail Faces</code></td><td><a href="https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2FDBZ6JcEj1tS7Qv2KMw9l%2FDetail_(Faces)_slider.jpg?alt=media&#x26;token=fe0ab5ff-8907-4ef1-a3b9-4f5d1b07224c">Detail_(Faces)_slider.jpg</a></td><td><a href="gigapixel/detail-faces">detail-faces</a></td></tr><tr><td align="center"><code>Recover Faces</code></td><td><a href="https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2FtA9MfPgi07bYGksixiih%2FRecover_Faces_slider.jpg?alt=media&#x26;token=4f7c5874-d421-4a3f-bf55-217845fb3a37">Recover_Faces_slider.jpg</a></td><td><a href="gigapixel/recover-faces">recover-faces</a></td></tr><tr><td align="center"><code>Text &#x26; Shapes</code></td><td><a href="https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2F3tAvIgRqeND39hYAqSqR%2FPreserve_Text_slider.jpg?alt=media&#x26;token=136a1278-3c91-47ca-9f57-ad39853e79bd">Preserve_Text_slider.jpg</a></td><td><a href="gigapixel/text-and-shapes">text-and-shapes</a></td></tr></tbody></table>