This ComfyUI workflow is designed to enhance image resolution by leveraging the powerful Flux model and ControlNet upscaler. Whether you’re working with low-resolution images or just want to refine details, this workflow delivers impressive results with a huge magnification, preserving sharpness and clarity in features like eyes, hair, and intricate textures. It’s optimized for users who need high-quality outputs on low-memory systems (GGUF) and includes options to fine-tune the process for various needs.

Demo:

Functionality:

• Versatile Upscaling Options: This workflow uses the Flux model with integrated ControlNet nodes to upscale images while maintaining critical details.
• Low-Memory Optimization: If your system struggles with the regular Flux model, you can enable the GGUF quantized version for a memory-efficient alternative.
• Automated Prompt Generation: Includes the Florence2 module, which auto-generates prompts, making it easier to get started without manual configuration.
• Fine-Tuning with ControlNet: Adjust the ControlNet strength between 0.4 and 0.8 to customize results, allowing you to either stay closer to the original image or introduce subtle artistic variations.
• Visual Comparison: The built-in Image Comparer node displays side-by-side views of your image before and after upscaling, helping you evaluate the impact of each adjustment.

This workflow is featured in my YouTube tutorial, where I walk through each step in detail. You can watch the video to see a real-time demonstration and gain a deeper understanding of the key features and tips for best results.

Youtube Tutorial:

https://youtu.be/EaqTEZd6SP4