huggingworld/onnx-image-models
By huggingworld · ↓ 0 · ♥ 0 · Updated 2026-03-17
What's in this repo
This page lists the files in huggingworld/onnx-image-models, including 002_lightweightSR_DIV2K_s64w8_SwinIR-S_x2.onnx, 002_lightweightSR_DIV2K_s64w8_SwinIR-S_x3.onnx, 002_lightweightSR_DIV2K_s64w8_SwinIR-S_x4.onnx and more.
- 108 ONNX models (.onnx files)
- 111 files, including 108 .onnx, 1 .safetensors, 1 .md
- Last updated 2026-03-17
ONNX files
| File | Size | Download |
|---|---|---|
| 002_lightweightSR_DIV2K_s64w8_SwinIR-S_x2.onnx | — | Download |
| 002_lightweightSR_DIV2K_s64w8_SwinIR-S_x3.onnx | — | Download |
| 002_lightweightSR_DIV2K_s64w8_SwinIR-S_x4.onnx | — | Download |
| 003_realSR_BSRGAN_DFOWMFC_s64w8_SwinIR-L_x4_GAN.onnx | — | Download |
| 003_realSR_BSRGAN_DFO_s64w8_SwinIR-M_x4_GAN.onnx | — | Download |
| 1x-Fatality-DeBlur.onnx | — | Download |
| 1x-ITF-SkinDiffDetail-Lite-v1.onnx | — | Download |
| 1x-Kim2091-DeJpeg-v0.onnx | — | Download |
| 1x-ReFocus-Cleanly.onnx | — | Download |
| 1x-Restoration-jpg-ESRGAN_64nf_23nb-jpg40_60-vyls.onnx | — | Download |
Showing 10 of 108 .onnx files — see the full file list on the right.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
TIER 1: TOP PERFORMERS ⭐⭐⭐
-
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 texture enhancement
-
4x PurePhoto RealPLSKR (29.9MB) - Best for photographic content
- Exceptional on portraits and realistic images
- Advanced noise handling while preserving skin textures
- Recommended by multiple 2026 benchmarks
-
4x ClearReality V1 FP32 (1.7MB) - Best lightweight option
- Surprisingly excellent quality for its tiny size
- Fast processing with minimal resource usage
- Great balance of quality vs. performance
TIER 2: EXCELLENT SPECIALISTS ⭐⭐
-
4x Nomos8k DAT (89.9MB) - JPEG compression specialist
- Specifically trained for compressed image restoration
- Excellent on heavily compressed photos
- Recommended for social media/web images
-
4x PurePhoto SPAN (1.7MB) - Another excellent lightweight
- Very similar quality to ClearReality
- Great for mobile/edge deployment
- Recommended for real-time applications
-
4x LSDIR (67.2MB) - Large dataset trained
- Good general performance across content types
- Solid choice for batch processing
TIER 3: SOLID PERFORMERS ⭐
-
4x UltraSharp FP32 (67MB) - Original UltraSharp
- Still excellent but superseded by V2
- Good for legacy compatibility
-
RealESR-General WDN x4v3 (4.9MB) - Compact and efficient
- Recommended in multiple 2026 reviews
- Good balance of speed and quality
-
4x Nomos2 HQ DAT2 FP32 (52.9MB) - High-quality alternative
- Similar performance to top tier but larger file size
TIER 4: SPECIALIZED/NICHE
-
4x Upscayl UltraSharp (67.2MB) - Upscayl version
- Good performance but redundant with standalone UltraSharp
-
4x Upscayl High Fidelity (67.2MB) - Upscayl variant
- Quality varies by source image
-
2x Real-ESRGAN x2plus (67.2MB) - Only 2x scaling
- Limited by scale factor but good quality
TIER 5: AVOID/OUTDATED
13-42. Most remaining models fall into these categories:
- Outdated architectures (original ESRGAN variants)
- Overly specialized (JPG restoration models for specific compression levels)
- Redundant (multiple similar Upscayl variants)
- Limited scale factors (1x models for restoration only)
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.
Model info
Created: 2026-03-17
Updated: 2026-03-17
View on Hugging Face