What model or algorithm does the enhancement node use?

The enhancement/upscale behavior comes from the custom node (ID: 33e8ca06-a6ea-4ed7-967d-e8f18733f2ba). Its exact model or method depends on your installation. Check the node’s parameters—some builds expose a selectable upscaler (e.g., ESRGAN/Real-ESRGAN or similar) and a sharpening/detail slider.

How do I avoid halos or over-sharpened edges?

Lower the enhancement strength and avoid very high upscale factors in a single pass. Use ImageCompare to inspect edges at 100% zoom. If the node provides separate ‘sharpen’ and ‘detail’ controls, reduce sharpen first. You can also try a two-pass approach: modest enhancement at native size, then a gentle upscale.

Will this fix very low-resolution or heavily compressed images?

It can improve perceived sharpness, but there are limits. For tiny or blocky sources, use a modest upscale (e.g., 1.5–2× if available) and conservative sharpening. Overshooting scale or strength often amplifies compression artifacts.

Why do colors or contrast look slightly different after enhancement?

Some enhancement pipelines alter micro-contrast. Compare in ImageCompare and adjust the node’s strength or any tone-related settings if available. Also ensure your input is standard sRGB and avoid re-saving as low‑quality JPEG, which can shift tones.

Image Enhancer - ComfyUI Workflow

Image Enhancer is a lightweight ComfyUI workflow that sharpens fine details and optionally upscales your images with minimal fuss. It starts with LoadImage to bring your source image into the graph, then passes it through a single enhancement/upscale node (ID: 33e8ca06-a6ea-4ed7-967d-e8f18733f2ba). That node applies subtle edge-aware sharpening and detail boosting, and—if enabled—scales the image to a higher resolution. Because it’s model-agnostic, the exact method depends on what the node exposes on your setup (for example, a built-in sharpen filter or a third‑party upscaler model).

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