> 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/frame-interpolation/apollo.md).

# Apollo

### Model Overview

**Apollo** produces smooth slow motion and frame rate conversions while handling non-linear or slightly blurry motion reliably. It excels at structured retiming workflows, especially when precise frame multiples such as 2×, 4×, or 8× are required.

**Apollo Fast** variant is available for quicker processing on simpler motion, making this model a flexible choice for both precision retiming and faster turnaround workflows.

### Key Capabilities

* Smooth slow motion and clean frame rate conversion
* Handles non-linear or slightly blurry motion well
* **Fast** variant available for simpler motion and quicker results

### Pricing

Apollo costs 2 credits per new GP generated. Apollo Fast costs 1 credit per new GP generated.

| Slow-Mo | 1080p | 4k |
| ------- | ----- | -- |
| **2x**  | 1     | 5  |
| **4x**  | 4     | 15 |
| **8x**  | 9     | 35 |
| **16x** | 19    | 75 |

{% hint style="info" %}
The above pricing is for our "Quality" models. "Fast" models are priced at roughly 50% of the "Quality" models for common output resolutions and durations.

Note that these estimates are calculated for 10s 30fps.

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/](<https://api.topazlabs.com/video/&#xA;>)
  * `model` —&#x20;
    * `"apo-8"` (Apollo)
    * `"apf-2"` (Apollo Fast)

**Model-Specific Parameters**

* `slowmo` — decimal between 1 and 16
* `fps` — decimal between 15 and 240
* `duplicate` — boolean
* `duplicateThreshold` — decimal between 0.001 and 0.1

{% hint style="info" %}
No comparison examples included for frame interpolation models. These models are not for upscaling.
{% endhint %}


---

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