# Starlight Sharp

### Model Overview

**Starlight Sharp** is a diffusion-based video enhancement model optimized for local or cloud processing. It is designed to sharpen low-res blurry videos and improve clarity on small faces. 

Starlight Sharp is used for restoration, detail recovery and compression cleanup. Unlike Mini, Starlight Sharp assumes a progressive input and does not perform automatic deinterlacing.

### Key Capabilities

* Local first diffusion-based restoration optimized for speed and sharp detail
* Restores clarity in degraded or low resolution footage
* Best suited for progressive or pre-deinterlaced sources in local desktop workflow

### Pricing

| Frames Per Credit — 1080p | Frames Per Credit — 4k |
| ------------------------- | ---------------------- |
| \~26                      | \~12                   |

{% hint style="info" %}
For more accurate estimates we recommend checking out our [Credit Calculator](https://developer.topazlabs.com/credit/calculator).
{% endhint %}

### Getting Started

**Endpoint**

* <https://api.topazlabs.com/video/>
  * `model` — `"wonder-1"`

**Model-Specific Parameters**

* `start_idx` — integer, default 0
* `end_idx` — decimal, default 1000000.0
* `upscaling_factor` — decimal, default 1.0
* `low_sharpness` — boolean, default `false`
* `keep_original` — boolean, default `false`
* `ffmpeg_encoding` — string, optional
* `wm_path` — string, optional
* `ffmpeg_preproc_filters` — string, default `""`

### 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%2Fp9wFHE5O4ToeTVRhtPTh%2F0002_slider.jpg?alt=media&#x26;token=c7e1b3c6-6815-48aa-be48-b36e5a7f4300">0002_slider.jpg</a></td><td><a href="https://compare.topazlabs.com/share/video?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2F0002.MP4&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2F0002_1_sls.mp4&#x26;src2label=After&#x26;zoom=1">https://compare.topazlabs.com/share/video?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2F0002.MP4&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2F0002_1_sls.mp4&#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%2FiHBDagAoYJjJLA0BoDSb%2FStarlight_Sharp_(Ex_2)_slider.jpg?alt=media&#x26;token=9e4e0117-3207-4b5e-9a2d-c634aceb6ed4">Starlight_Sharp_(Ex_2)_slider.jpg</a></td><td><a href="https://compare.topazlabs.com/share/video?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2FEPRIII_FamilyTrip_2006_01_1_ddv3_2.mp4&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2FEPRIII_FamilyTrip_2006_01_1_ddv3_2_sls.mp4&#x26;src2label=After&#x26;zoom=1">https://compare.topazlabs.com/share/video?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2FEPRIII_FamilyTrip_2006_01_1_ddv3_2.mp4&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2FEPRIII_FamilyTrip_2006_01_1_ddv3_2_sls.mp4&#x26;src2label=After&#x26;zoom=1</a></td></tr></tbody></table>