Use the Topaz API via RunAPI with a model skill, unified auth, and pay-as-you-go pricing.
curl -X POST https://runapi.ai/api/v1/topaz/upscale_image \
-H "Authorization: Bearer $RUNAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "topaz-upscale-video",
"image_url": "https://cdn.runapi.ai/public/samples/upscale.jpg"
}'import { TopazClient } from "@runapi.ai/topaz";
const client = new TopazClient();
const result = await client.upscaleImage.run({
model: "topaz-upscale-video",
image_url: "https://cdn.runapi.ai/public/samples/upscale.jpg",
});<?php
require __DIR__ . "/vendor/autoload.php";
use RunApi\Topaz\TopazClient;
$client = new TopazClient();
$result = $client->upscaleImage->run([
'model' => 'topaz-upscale-video',
'image_url' => 'https://cdn.runapi.ai/public/samples/upscale.jpg',
]);require "runapi/topaz"
client = RunApi::Topaz::Client.new
result = client.upscale_image.run(
model: "topaz-upscale-video",
image_url: "https://cdn.runapi.ai/public/samples/upscale.jpg"
)npx skills add runapi-ai/topaz -g# Claude Code
claude mcp add runapi -s user -- npx -y @runapi.ai/mcp
# Codex
codex plugin install runapi-mcp@agents
# Cursor / Windsurf / VS Code
npx @runapi.ai/mcp init cursorTopaz Labs provides AI-powered upscaling for both images and video, using deep learning models trained specifically for enhancing detail, reducing noise, and increasing resolution without artifacts.
| Endpoint | Resolution | Duration | Price | |
|---|---|---|---|---|
| upscale_image | — | — | $0.10-$0.20 / request |
Prices shown for topaz-upscale-image. Other variants retain their own endpoint pricing.
Sign up and generate an API key from the dashboard.
Choose the version that best matches your quality and cost requirements.
Submit your prompt and parameters to the model's documented endpoint.
Poll the task or set a webhook, then download the completed output.
Topaz Labs specializes in AI media enhancement with dedicated image and video upscaling models. Through RunAPI, both upscale endpoints share unified billing.
A single RunAPI API key unlocks the whole model catalog across all providers. No separate accounts to create, no API keys to rotate per integration, and no credential management overhead. Add a new model to your app by changing one parameter.
Per-call pricing in USD, billed monthly into a single invoice. No subscription tiers, no minimum spend, and failed generations are never charged. The pricing page and check_pricing API show exact costs before you commit to a model.
Typed schemas, parameter constraints, and setup notes are packaged in the model skill so your implementation starts from the right contract. The skill loads into Claude Code, Codex, Gemini CLI, Cursor, and VS Code — your agent knows the correct request shape before you write a line of code.
Topaz supports up to 4× upscaling for images and up to 4× for video, recovering fine detail without introducing artifacts.
No — Topaz uses neural networks specifically trained to enhance detail and reduce noise while avoiding hallucinated textures or ringing artifacts.
Yes — the video upscale endpoint processes frames with temporal consistency, preventing flickering between frames.
JPEG, PNG, and WebP for images. MP4 and MOV for video. Source files should be under the size limit specified in the API docs.
Through RunAPI, Topaz offers image upscaling and video upscaling. Both endpoints also apply noise reduction and detail enhancement as part of the upscale process.
Pick the cheapest variant that meets your quality bar. Most teams start on the fast variant and graduate to pro for production.