What Topaz Image Enhance Wonder 4 is good at
- Detail reconstruction: Rebuilds plausible detail in soft or compressed images instead of interpolating pixels
- Single pass: One pass at the target size, with no strength or grain settings to tune
- Recovering small sources: Useful for old scans, screenshots, AI thumbnails, and phone crops
- Flexible output: Keeps the input aspect ratio and accepts upscale factors from 1x to 6x
Topaz Image Enhance Wonder 4
Upscale a single image with Wonder 4, which rebuilds detail at the target size in one pass. The workflow takes 1 input image and produces 1 upscaled output alongside a side-by-side comparison.
Run on Comfy Cloud
Open in Comfy Cloud
Download Workflow
Download JSON or search “Image Upscale: Topaz Wonder 4” in Template Library
Controls
Wonder 4 keeps the source aspect ratio: when the requested width and height disagree, the larger scale wins and the output is bigger than requested. Output is capped at 179 megapixels and 32,000 pixels per side, and the node downscales the input to about 16 megapixels before sending it.
Steps to run
- Load an image: upload or select your input image in the LoadImage node
- Select the model: keep
Wonder 4on the TopazImageEnhanceV2 node - Set the target size: change
scale_byon the ImageScaleBy node, from 1x to 6x - Optional override: enter a pixel size in
output_widthoroutput_heighton the node (leave both at 0 to keep the automatic size) - Click Queue: press
Ctrl+Enterto generate
When to use it
Reach for Wonder 4 on small, medium, soft, noisy, or compressed images: old scans, screenshots, AI thumbnails, and phone crops. A graphic, textured image is a good test, because torn edges, seams, and flat color fields show at once whether the model invents detail or keeps the original. For an already sharp, high-resolution photo, a precision upscaler keeps more of the original.Get started
- Update ComfyUI to 0.44.0 or newer
- Go to Template Library, search for
Image Upscale: Topaz Wonder 4