> 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/video-models/upscaling-and-enhancement/generative/starlight-precise-2.6.md).

# Starlight Precise 2.6

High-quality upscaling and enhancement for GenAI and archival video with realistic faces, textures, text clarity, and temporal consistency

<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%2FTzrLBGS7de5x7Zd0EGiN%2Fslp-4k-upscale-example_slider.jpg?alt=media&#x26;token=fd897da0-97a2-4cee-9f9c-bbf1e1da2428">https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2FTzrLBGS7de5x7Zd0EGiN%2Fslp-4k-upscale-example_slider.jpg?alt=media&#x26;token=fd897da0-97a2-4cee-9f9c-bbf1e1da2428</a></td><td><a href="https://compare.topazlabs.com/share/video?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fslp-4k-upscale-example-before.mp4&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fslp-4k-upscale-example-after.mp4&#x26;src2label=After&#x26;zoom=1">https://compare.topazlabs.com/share/video?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fslp-4k-upscale-example-before.mp4&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Fslp-4k-upscale-example-after.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%2FW2ppR31b7LaXSbtjCiqb%2Ffatboyslim-slp2.6_slider.jpg?alt=media&#x26;token=1d2f4241-accf-4584-aa18-7262b3f2a62e">https://4007072434-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJkSwaYgAsTQke14gpXAF%2Fuploads%2FW2ppR31b7LaXSbtjCiqb%2Ffatboyslim-slp2.6_slider.jpg?alt=media&#x26;token=1d2f4241-accf-4584-aa18-7262b3f2a62e</a></td><td><a href="https://compare.topazlabs.com/share/video?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Ffatboyslim-slp2.6-before.mp4&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Ffatboyslim-slp2.6-after.mp4&#x26;src2label=After&#x26;zoom=1">https://compare.topazlabs.com/share/video?src1=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Ffatboyslim-slp2.6-before.mp4&#x26;src1label=Before&#x26;src2=https%3A%2F%2Fdownloads.topazlabs.com%2Fweb-assets%2Fmodel-examples%2Ffatboyslim-slp2.6-after.mp4&#x26;src2label=After&#x26;zoom=1</a></td></tr></tbody></table>

### Model Overview

Starlight Precise 2.6 is a diffusion video enhancement model designed to upscale footage up to 4K while improving realism and detail across both AI-generated and archival video. Building on Precise 2.5, it enhances faces, fabrics, materials, and textures while improving the clarity of text, labels, logos, and other fine details.

Starlight Precise 2.6 delivers up to 15% faster rendering across both cloud and local processing, with improved temporal consistency that reduces periodic flickering and produces more stable results across longer sequences and multiple clips. A new Sharpen parameter gives the ability to dial back over-sharp details for a smoother, softer look.

### Best Use Cases

* **GenAI video.** Natural faces, skin tones, and stable motion.
* **Archival and degraded footage.** Rebuild detail other models can't.
* **Text and fine texture.** Clearer text and texture detail.
* **Hero shots and final deliverables.** The best possible result.
* **After Starlight Mini.** Finish very old footage after a Mini pass.

### Endpoint

`https://api.topazlabs.com/video/`

`https://api.topazlabs.com/video/express`

### Model Parameters

Model parameters go inside the filter object in `filters`.

| Parameter   | Type      | Required / Default                           | Accepted values | Description                                   |
| ----------- | --------- | -------------------------------------------- | --------------- | --------------------------------------------- |
| `model`     | `string`  | Required                                     | `"slp-2.6"`     | —                                             |
| `sharpness` | `decimal` | <p>Optional<br>Default: <code>5.0</code></p> | `1.0` to `5.0`  | How much sharpening is applied to the output. |

For request parameters shared by every video model (source, output, destination, and notifications), see Request Parameters. The full schema is also available in our API Reference page.

### Model Pricing

**Starlight Precise 2.6** is priced per output frame. Credits = ceil(output frames ÷ frames per credit).

| Output resolution | Frames per credit |
| ----------------- | ----------------- |
| 1080p             | 26.0417           |
| 4K                | 11.9179           |

#### 1080p Output

| Duration | 24 fps | 30 fps | 60 fps |
| -------- | ------ | ------ | ------ |
| 5 s      | 5      | 6      | 12     |
| 10 s     | 10     | 12     | 24     |
| 30 s     | 28     | 35     | 70     |
| 1 min    | 56     | 70     | 139    |
| 5 min    | 277    | 346    | 692    |
| 10 min   | 553    | 692    | 1383   |

#### 4K Output

| Duration | 24 fps | 30 fps | 60 fps |
| -------- | ------ | ------ | ------ |
| 5 s      | 11     | 13     | 26     |
| 10 s     | 21     | 26     | 51     |
| 30 s     | 61     | 76     | 152    |
| 1 min    | 121    | 152    | 303    |
| 5 min    | 605    | 756    | 1511   |
| 10 min   | 1209   | 1511   | 3021   |

{% hint style="info" %}
These are estimates. For a quote on a specific file, use our [Credit Calculator](https://developer.topazlabs.com/credit-calculator) or create the request with `POST /video/`, which returns an estimate before processing starts.
{% endhint %}

### Example Request

{% tabs %}
{% tab title="cURL" %}

```bash
curl -X POST "https://api.topazlabs.com/video/express" \
  -H "X-API-Key: $TOPAZ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "source": { "container": "mp4" },
    "filters": [ { "model": "slp-2.6", "sharpness": 3.0 } ],
    "output": { "resolution": { "width": 3840, "height": 2160 } }
  }'
```

{% endtab %}

{% tab title="JavaScript" %}

```javascript
const payload = {
  "source": {
    "container": "mp4"
  },
  "filters": [
    {
      "model": "slp-2.6",
      "sharpness": 3.0
    }
  ],
  "output": {
    "resolution": {
      "width": 3840,
      "height": 2160
    }
  }
};

const response = await fetch("https://api.topazlabs.com/video/express", {
  method: 'POST',
  headers: {
    'X-API-Key': process.env.TOPAZ_API_KEY,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify(payload),
});

if (!response.ok) {
  throw new Error(`Request failed: ${response.status} ${await response.text()}`);
}

console.log(await response.json());
```

{% endtab %}

{% tab title="Python" %}

```python
import os
import requests

payload = {'source': {'container': 'mp4'},
 'filters': [{'model': 'slp-2.6', 'sharpness': 3.0}],
 'output': {'resolution': {'width': 3840, 'height': 2160}}}

response = requests.post(
    "https://api.topazlabs.com/video/express",
    headers={"X-API-Key": os.environ["TOPAZ_API_KEY"]},
    json=payload,
)
response.raise_for_status()
print(response.json())
```

{% endtab %}
{% endtabs %}

### Helpful Resources

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><i class="fa-play">:play:</i></td><td><h4>Video Quickstart</h4></td><td>Quickly get started with our Video API.</td><td><a href="/getting-started/video-quickstart.md">Video Quickstart</a></td></tr><tr><td><i class="fa-file-brackets-curly">:file-brackets-curly:</i></td><td><h4>API Reference</h4></td><td>View our API reference to view the entire schema.</td><td><a href="https://app.gitbook.com/o/HctdcUHRfIWXBVA1egPp/s/dQjJSfrAUC693PLetlIA/">Reference</a></td></tr><tr><td><i class="fa-square-root-variable">:square-root-variable:</i></td><td><h4>Model Pricing</h4></td><td>Learn how we price our models.</td><td><a href="/getting-started/model-pricing.md">Model Pricing</a></td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://developer.topazlabs.com/video-models/upscaling-and-enhancement/generative/starlight-precise-2.6.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
