> For the complete documentation index, see [llms.txt](https://developer.topazlabs.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.topazlabs.com/image-models/denoise/max.md).

# Max

### Model Overview

**Denoise Max** is a next-generation generative denoising model that delivers the highest quality results in the Denoise family, incorporating technology advancements from Wonder 2. It removes noise and grain with significantly reduced artifacts while intelligently sharpening blurry areas without affecting already sharp detail.

Denoise Max performs best on medium to high quality images with light noise or structured grain, and excels across a wide range of content including portraits, hazy images, and fine textures such as skin, hair, and small details.

### Key Capabilities

* Best-in-class denoising with reduced artifacts and natural results.
* Intelligently sharpens blurry areas while leaving already-sharp areas untouched.
* Significant reduction in artifacts compared to previous Denoise models.

### 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>2</td><td>2</td><td>2</td><td>3</td><td>4</td><td>5</td></tr></tbody></table>

### Getting Started

**Endpoint**

* <https://api.topazlabs.com/image/v1/denoise-gen/async>
  * `model` — `"Denoise Max"`

<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.
* `strength` — decimal between 0.01 and 1
  * Reduces noise in the image. Too high can remove detail and slightly blur the image.
* `minor_deblur` — decimal between 0.01 and 1
  * Slightly sharpens the image. Counteracts softness caused by noise reduction.
* `original_detail` — decimal between 0 and 1
  * Return texture and fine details lost during noise reduction. Start at low values and slowly increase.
* `denoise_strength` — decimal between 0 and 1, default 0.5
  * Sets the strength of the denoise.
* `sharpen_strength` — decimal between 0 and 1, default 0.5
  * Sets the strength of the sharpening.
* `opacity` — decimal between 0 and 1, default 1.0
  * Adjust strength of opacity.

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**

* `strength` — decimal from 0.0 to 1.0

**Resolution Limits**

* `input` — 512 MP
* `output` — 512 MP

### Examples

<table data-card-size="large" data-view="cards"><thead><tr><th align="center"></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="image">Cover image</th></tr></thead><tbody><tr><td align="center">Click to view</td><td><a href="https://compare.topazlabs.com/share/image?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fpeople_5_before.jpeg&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fpeople_5_after.png&#x26;src2label=After&#x26;zoom=1.0">https://compare.topazlabs.com/share/image?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fpeople_5_before.jpeg&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fpeople_5_after.png&#x26;src2label=After&#x26;zoom=1.0</a></td><td><a href="/files/yJrCLHYZeajdMwfBEw6i">/files/yJrCLHYZeajdMwfBEw6i</a></td></tr><tr><td align="center">Click to view</td><td><a href="https://compare.topazlabs.com/share/image?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fwildlife_5_before.jpg&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fwildlife_5_after.png&#x26;src2label=After&#x26;zoom=1.0">https://compare.topazlabs.com/share/image?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fwildlife_5_before.jpg&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fwildlife_5_after.png&#x26;src2label=After&#x26;zoom=1.0</a></td><td><a href="/files/SjbLiYWsLd0mvjUKqOvY">/files/SjbLiYWsLd0mvjUKqOvY</a></td></tr></tbody></table>


---

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