Image · Topaz

Topaz

AI-powered image and video upscaling — enhance resolution and detail without artifacts.

Operational · 2 variants · a partir de $0.120

# Works with Claude Code, Codex, Gemini CLI, Cursor, and 50+ agents
npx skills add runapi-ai/topaz -g

The -g flag installs globally so every project picks it up.

Or paste this prompt to your AI agent:

Install the Topaz skill for me:

1. Clone https://github.com/runapi-ai/topaz
2. Copy the skills/topaz/ directory into your
   user-level skills directory (e.g. ~/.claude/skills/
   for Claude Code, ~/.codex/skills/ for Codex).
3. Verify that SKILL.md is present.
4. Confirm the install path when done.

VISÃO GERAL

Topaz 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.

Installable agent skill
Unified API key
SDK examples included
Gerações com falha não são cobradas

VARIANTES

Variantes

Variant	Billing	From
topaz-upscale-image	call	$0.400	Ver →
topaz-upscale-video	second	$0.120	Ver →

AGENT USAGE

Use this model from your agent

Prompt + SDK example

# User prompt to the agent
"Upscale this 720p product photo to 4K while preserving fine texture detail and removing noise."

// Code generated by the agent via @runapi.ai/topaz
import { TopazClient } from '@runapi.ai/topaz';

const client = new TopazClient();
const result = await client.upscaleImage.run({
  model: 'topaz-upscale-image',
  prompt: 'Upscale this 720p product photo to 4K while preserving fine texture detail and removing noise.',
});

@runapi.ai/topaz npm

COMO FUNCIONA

How to call this model

Install the skill

Add the model skill to your agent or install the SDK package.

Authenticate once

Use your RunAPI key for every supported model.

Send a request

Use the unified schema for the endpoint you need.

Receive output

Poll by task ID or handle the callback when the generation completes.

SDK QUICKSTART

SDK quickstart

runapi.ai

curl -X POST https://runapi.ai/api/v1/topaz/upscale_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "topaz-upscale-image",
  "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-image",
    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-image",
    image_url: "https://cdn.runapi.ai/public/samples/upscale.jpg"
)

@runapi.ai/topaz v1

CONTEXTO

Where Topaz fits

Topaz Labs specializes in AI media enhancement with dedicated image and video upscaling models. Through RunAPI, both upscale endpoints share unified billing.

Provider

Topaz

Modality

Image

POR QUE RUNAPI