| --- |
| 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: >- |
| /static-proxy?url=https%3A%2F%2Fcdn-uploads.huggingface.co%2Fproduction%2Fuploads%2F5ee800f4464d0272c8b245aa%2FN4WKCKYSCNtmDN4x8oOsx.png%3C%2Fspan%3E%3C!----%3E%3C%2Ftd%3E%3C%2Ftr%3E%3Ctr id="L14"> | | --- |
| |
| ## **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. |
