What problem does it solve? Low-resolution images, compressed web graphics, and small AI-generated art often lack the detail needed for print, high-DPI displays, or professional use. This Skill increases image resolution and restores detail using AI super-resolution models without manual editing. ## Core Features & Use Cases - Multiple Upscaler Models: Choose from Real-ESRGAN, Thera, FLUX Dev Upscaler, and Topaz Image Upscaler depending on quality and speed needs. - CLI-Driven Workflow: Run upscaling jobs through the inference.sh belt CLI with a simple JSON input containing an image URL. - Generate-and-Upscale Pipelines: Chain image generation (e.g., FLUX Klein) with upscaling to produce high-resolution output in one workflow. - Use Case: Restore an old family photo by passing its URL to the Topaz Image Upscaler, which returns an enhanced high-resolution version suitable for printing. ## Quick Start Ask the AI to upscale a low-resolution image URL using the Topaz Image Upscaler via the inference.sh belt CLI.