Topaz
AI-powered image and video upscaling — enhance resolution and detail without artifacts.
# Works with Claude Code, Codex, Gemini CLI, Cursor, and 50+ agents
npx skills add runapi-ai/topaz -gInstall 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.
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
- 失敗した生成は課金されません
バリアント
Use this model from your agent
# 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.',
});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
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"
)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.
Why use Topaz through RunAPI
One API key
Use the same credentials across models and providers.
Agent-ready
Installable skills include docs and schema for tool calls.
Predictable billing
Usage-based pricing is visible before you call.
Frequently asked questions
How do I call this model?
Use the RunAPI SDK, CLI, or REST endpoint shown on this page.
Do failed generations cost money?
失敗した生成は課金されません
Can agents use it directly?
Yes. Install the model skill and your agent gets the docs, schema, and examples.
