| --- |
| license: bsd-3-clause |
| pipeline_tag: image-to-image |
| library_name: onnxruntime |
| tags: |
| - onnx |
| - super-resolution |
| - upscaling |
| - real-esrgan |
| - image-processing |
| --- |
| |
| # RealESRGANx4_fp16 |
| |
| RealESRGANx4_fp16 is an ONNX export of a Real-ESRGAN-based super-resolution model for 4× image upscaling. |
|
|
| ## Model Description |
|
|
| This repository provides a float16 ONNX version of a Real-ESRGAN super-resolution model designed to enhance image detail and visual quality across a variety of content. |
|
|
| This variant follows the standard Real-ESRGAN approach and may produce sharper, more stylized results compared to more balanced variants. |
|
|
| ## File |
|
|
| - `RealESRGANx4_fp16.onnx` |
|
|
| ## Intended Use |
|
|
| This model is intended for: |
|
|
| - 4× image upscaling |
| - video frame enhancement |
| - detail enhancement in images and video pipelines |
| - ONNX Runtime based applications |
|
|
| ## Input / Output |
|
|
| - Input: low-resolution image tensor |
| - Output: 4× upscaled image |
|
|
| Exact preprocessing and normalization depend on the host application. |
|
|
| ## Usage Notes |
|
|
| - Emphasizes sharper and more detailed output |
| - FP16 export for improved performance on supported hardware |
| - Compatible with ONNX Runtime (CUDA, TensorRT, DirectML, CPU) |
| - May produce more aggressive detail enhancement than general-purpose models |
|
|
| ## Source / Attribution |
|
|
| This repository contains an ONNX-packaged version of a Real-ESRGAN-based model. |
|
|
| The upstream Real-ESRGAN project is licensed under the BSD 3-Clause License. |
|
|
| ## Limitations |
|
|
| - GAN-based models may introduce artificial or exaggerated detail |
| - May oversharpen certain textures or edges |
| - Output quality depends on input resolution and preprocessing |
|
|
| ## License |
|
|
| BSD 3-Clause |
