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Eric111/huggingworld_onnx-image-models
huggingworld_onnx-image-models is a image-to-image model from Eric111. Use it when you need one image transformed into another. It is set up for ml-agents. The card lists the license as mit.
1. 4x UltraSharp V2 FP32 (51.8MB) - The gold standard for general-purpose upscaling - Superior detail preservation across all content types - Excellent handling of both photos and artwork - Minimal artifacts, natural…
Downloads · 30 days
170
26% of all-time downloads
All-time downloads
646
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4.3 GB
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From the Hugging Face model README
4x UltraSharp V2 FP32 (51.8MB) - The gold standard for general-purpose upscaling
4x PurePhoto RealPLSKR (29.9MB) - Best for photographic content
4x ClearReality V1 FP32 (1.7MB) - Best lightweight option
4x Nomos8k DAT (89.9MB) - JPEG compression specialist
4x PurePhoto SPAN (1.7MB) - Another excellent lightweight
4x LSDIR (67.2MB) - Large dataset trained
4x UltraSharp FP32 (67MB) - Original UltraSharp
RealESR-General WDN x4v3 (4.9MB) - Compact and efficient
4x Nomos2 HQ DAT2 FP32 (52.9MB) - High-quality alternative
4x Upscayl UltraSharp (67.2MB) - Upscayl version
4x Upscayl High Fidelity (67.2MB) - Upscayl variant
2x Real-ESRGAN x2plus (67.2MB) - Only 2x scaling
13-42. Most remaining models fall into these categories:
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.