This is an image upscaling application based on ERNIE-Image Turbo + tiled processing.

The workflow first performs a basic upscale on the input image, automatically splits it into multiple tiles based on size, performs recognition, redraw, and detail enhancement on each tile separately, and finally reassembles all tiles back into the complete image. Unlike regular full-image upscaling, the core of this workflow is tiled upscaling + tiled redrawing + tiled reassembly, making it more suitable for processing high-resolution images, images with a lot of details, and scenarios where direct full-image upscaling tends to get blurry.

This workflow is suitable for:

Old photo upscaling
Anime image ultra-resolution
Poster enhancement
Portrait detail supplementation
Large image retouching
Scenarios where you want to keep the overall composition but regenerate details clearly

Recommended usage:
Upload an image with decent clarity but insufficient detail. The system will first use the upscaling model for the initial upscale, then refine it tile by tile using the tiled method. Since this workflow also integrates WD14Tagger for automatic tagging and feeds the recognition results into the positive prompt encoder, it is perfect for users who "don't know how to write prompts but still want automatic detail enhancement." The current default sampling parameters are steps=6, cfg=1, denoise=0.4, which belong to a conservative detail-repair type of upscaling rather than heavy image modification.

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Ernie HD Upscale