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Download README.md from QuantumHawk42/Image-Upscale-Lab-WebGPU: direct link, hf CLI and curl.
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https://huggingface.co/spaces/QuantumHawk42/Image-Upscale-Lab-WebGPU/resolve/main/README.md
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hf download hf://spaces/QuantumHawk42/Image-Upscale-Lab-WebGPU/README.md
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1.04 kB
metadata
title: Image Upscale Lab WebGPU
emoji: 👀
colorFrom: purple
colorTo: green
sdk: static
pinned: false
models:
- notaneimu/onnx-image-models
- huggingworld/onnx-image-models
short_description: WebGPU image upscale
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/5ee800f4464d0272c8b245aa/N4WKCKYSCNtmDN4x8oOsx.png
KEY RECOMMENDATIONS:
For General Use: Start with 4x UltraSharp V2 FP32 - it consistently ranks #1 in 2026 benchmarks
For Mobile/Limited Resources: Use 4x ClearReality V1 FP32 or 4x PurePhoto SPAN - tiny files, excellent quality
For Compressed Images: 4x Nomos8k DAT handles JPEG artifacts better than anything else
For Photography: 4x PurePhoto RealPLSKR is specifically optimized for photos and portraits
The field has matured significantly, with newer architectures like DAT2 and RealPLKSR clearly outperforming older ESRGAN-based models. File size doesn't always correlate with quality - some of the best models are surprisingly compact.