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Runflow

Topaz Upscale — Image

Use the powerful and accurate topaz image enhancer to enhance your images.

By Topaz Labs

Pricing: $0.08 per image

Overview

Topaz Image Upscale is the professional standard for AI-powered image upscaling, recovering detail and sharpness that traditional upscalers and even most AI alternatives cannot match. Trusted by photographers, print houses, and e-commerce platforms, it transforms low-resolution source images into print-ready outputs while preserving natural textures and avoiding the over-sharpened artifacts common in competing tools. Through Runflow, Topaz upscaling integrates directly into generation pipelines — pair it with any image model and let Sentinel validate that upscaled outputs meet your resolution and quality requirements before delivery.

Examples

  • 2x upscale of a portrait photo
  • Face restoration on a low-quality portrait

Frequently asked questions

What is Topaz?
Use the powerful and accurate topaz image enhancer to enhance your images.
How much does Topaz cost on Runflow?
Contact us for current pricing on Topaz. Runflow offers predictable, usage-based pricing with no GPU management fees. Request a quote at runflow.io/pipeline-audit.
What's the latency of Topaz?
Latency for Topaz varies based on input parameters and current load. Runflow optimizes inference with multi-region routing to minimize response times. Cold starts (5-10s) are not billed.
Can I use Topaz commercially?
Yes. Topaz is available under a commercial license, meaning you can use it in production applications, SaaS products, and client work. Check the model's specific license terms for details.
Do I need to manage GPUs?
No. Runflow handles all infrastructure, including GPU provisioning, scaling, and failover. You call our API and receive results — no DevOps required.
What other models does Runflow support?
Runflow supports 736 models across image generation, video, audio, 3D, and more. Browse the full catalog at runflow.io/models or contact us for recommendations based on your use case.

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