> For the complete documentation index, see [llms.txt](https://xfigura.gitbook.io/xfigura-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xfigura.gitbook.io/xfigura-docs/models/upscale-models/clarity-upscaler.md).

# Clarity Upscaler

#### *Model Specifications:*

<sub>\~32s, 1 credit</sub>

#### *Known for:*&#x20;

🧠 Accessible sharpening

#### *Full description:*&#xD;

An open-source upscaler and enhancer that uses a partial denoise process to recover and add sharp detail to low-resolution images - a capable, more accessible alternative to Magnific with strong results on portraits and landscapes.

#### *xFigura Tip:*&#xD;

Use for a reliable quality boost on AI-generated or low-res images where you want sharper detail without the cost of premium upscalers.

#### *Parameters:*

Image Quality, Seed, Scale Factor

#### *Specific Parameters:*

* Creativity: The creativity of the model. The higher the creativity, the more the model will deviate from the prompt. Refers to the denoise strength of the sampling. Default value: 0.35
* Resemblance: The resemblance of the upscaled image to the original image. The higher the resemblance, the more the model will try to keep the original image. Refers to the strength of the ControlNet. Default value: 0.6