---
title: "Topaz AI models — API access via RunAPI"
url: "https://runapi.ai/providers/topaz.md"
canonical: "https://runapi.ai/providers/topaz.md"
locale: "en"
provider: "Topaz"
line_count: 1
variant_count: 2
---

# Topaz

Topaz Labs AI upscaling — enhance image and video resolution and detail without artifacts.

Topaz Labs specializes in AI-powered media enhancement with dedicated models for image upscaling and video upscaling, using neural networks to increase resolution and recover detail without introducing artifacts.

## Models

- [Topaz](https://runapi.ai/models/topaz.md) — Image, 2 variants · from $0.120

## Variants

| Model | Variant | Billing | Starting price | URL |
|---|---|---|---|---|
| Topaz | `image-upscale` | call | $0.400 | https://runapi.ai/models/topaz/image-upscale.md |
| Topaz | `video-upscale` | second | $0.120 | https://runapi.ai/models/topaz/video-upscale.md |

## Install

```sh
npm install @runapi.ai/<line>
```

## FAQ

### Is this an official %{provider} integration?

RunAPI exposes a managed API surface with transparent pricing, capability, and error behavior.

### Do I need a %{provider} account?

No — your RunAPI key is enough for managed access.

### What&#39;s the latency overhead from proxying?

Typically under 20 ms. RunAPI keeps the proxy layer close to model execution regions.

### Are images / videos cached?

Generated outputs are stored and retrievable by task ID. Inputs are not cached.

### Can I bring my own key?

Not currently — calls use RunAPI-managed access.