image-upscaling

Upscale and enhance digital images with AI models via inference.sh CLI.

688|95|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/inference-sh/skills --skill image-upscaling-inference-sh
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-upscaling
Source: https://github.com/inference-sh/skills/tree/main/tools/image/image-upscaling
Command: npx skills add https://github.com/inference-sh/skills --skill image-upscaling-inference-sh

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the need to improve the quality and resolution of digital images, making them suitable for various professional and creative applications.

Core Features & Use Cases

  • Image Enhancement: Upscale low-resolution images to higher resolutions using advanced AI models.
  • Restoration: Improve the clarity and detail of old photos or AI-generated art.
  • Use Case: You have a collection of AI-generated art that looks good but lacks the crispness for printing. Use this skill to upscale them to a print-ready resolution.

Quick Start

Use the image-upscaling skill to upscale the image located at https://your-image.jpg.

Frequently Asked Questions about image-upscaling

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I upscale a low-resolution image to make it print-ready?

You can upscale AI-generated art using AI models like Real-ESRGAN, Thera, or Topaz Image Upscaler. These models enhance resolution and reduce artifacts, transforming low-resolution digital images into high-definition outputs suitable for print or digital display.

Can I enhance the resolution of old scanned photographs?

Yes, you can enhance the resolution of old scanned photographs using this image upscaling skill. By applying AI models like Real-ESRGAN, the process restores clarity and detail, improving scanned images for digital display or printing.

What is the best way to improve low-quality AI art without losing detail?

The best way to improve low-quality AI art is using AI-driven image upscaling models like Real-ESRGAN or Thera. These models increase resolution while intelligently reconstructing visual data and reducing artifacts, ensuring the enhanced art retains its original detail and crispness.

Does image upscaling work with Real-ESRGAN and Topaz models?

Yes, image upscaling works with Real-ESRGAN, Thera, and Topaz Image Upscaler models. Utilizing the inference.sh CLI, it applies these AI models to enhance digital images, effectively satisfying requirements for high-definition output and artifact reduction.

What are the limitations of AI image enhancement for digital photos?

A limitation of AI image enhancement is that while it significantly increases resolution and reduces artifacts, it reconstructs details using AI models rather than recovering original optical data. Results depend heavily on the initial quality and artifact severity of the source digital photos.