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Sheshiyer
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image-upscaling

Upscale low-resolution images with multiple AI upscalers via inference.sh CLI.

4|1|Updated Feb 10, 2026
Search Tags:#image#ai#inference#upscale#real-esrgan#photo-restoration#web-print
One-click install
npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill image-upscaling-sheshiyer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: image-upscaling
Source: https://github.com/Sheshiyer/brandmint-oracle-aleph/tree/main/skills/external/inference-sh/upstream/ab546d072f1e/tools/image/image-upscaling
Command: npx skills add https://github.com/Sheshiyer/brandmint-oracle-aleph --skill image-upscaling-sheshiyer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Upscale and enhance low-resolution images to improve clarity and detail for digital use, print, and archival restoration.

Core Features & Use Cases

  • Multi-model support: Real-ESRGAN, Thera, FLUX Dev Upscaler, and Topaz image upscalers via the inference.sh CLI.
  • Versatile workflows: Improve AI-generated art, restore old photos, optimize web images for high-DPI displays, and produce print-ready enlargements.
  • Simple workflow: Generate or obtain an image and upscale to a higher resolution in a single streamlined step.

Quick Start

Use the infsh CLI to run a selected upscaler on your image by providing its URL or file path.

Frequently Asked Questions about image-upscaling

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

FAQPage Schema
How do I upscale images for print-ready resolution?▼

To upscale images for print-ready resolution, provide an image URL or file path to the CLI. The skill uses AI upscalers like Real-ESRGAN and Topaz to enhance low-resolution images, producing high-DPI enlargements suitable for printing.

What is the best way to restore old photos using AI upscalers?▼

Restoring old photos using AI upscalers involves processing image files through Real-ESRGAN or Thera. These models enhance clarity and detail, optimizing archival restoration by reconstructing missing high-frequency data in low-resolution images.

Can I use Real-ESRGAN and Topaz to enhance AI-generated art?▼

You can enhance AI-generated art using Real-ESRGAN, Topaz, and FLUX Dev Upscaler. By passing your generated image to the inference script, these models increase resolution and add precise details required for high-quality digital workflows.

Does this image upscaling workflow support image URLs as input?▼

This image upscaling workflow supports both image URLs and local file paths as input. You simply provide the source location to the inference CLI, which then processes the low-resolution image to generate an enhanced, upscaled output.

What are the limitations of using Real-ESRGAN for web image preparation?▼

Real-ESRGAN for web image preparation is limited by the original image quality and artifacting. If the source image has severe compression artifacts, the upscaler might amplify them, making it less effective for heavily degraded inputs compared to specialized restoration models.

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