---
license: bsd-3-clause
pipeline_tag: image-to-image
library_name: onnxruntime
tags:
  - onnx
  - super-resolution
  - upscaling
  - real-esrgan
  - image-processing
---

# RealESR_Gx4_fp16

RealESR_Gx4_fp16 is an ONNX export of a Real-ESRGAN-based super-resolution model designed for general-purpose 4× image upscaling.

## Model Description

This repository provides a float16 ONNX version of a Real-ESRGAN model optimized for a wide range of content, including natural images, video frames, and mixed visual styles.

This variant is intended as a balanced default for general upscaling tasks.

## File

- `RealESR_Gx4_fp16.onnx`

## Intended Use

This model is intended for:

- 4× image upscaling
- video frame enhancement
- general-purpose super-resolution workflows
- 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

- Balanced for general content (photographic + mixed scenes)
- FP16 export for improved performance on supported hardware
- Compatible with ONNX Runtime (CUDA, TensorRT, DirectML, CPU)
- Suitable as a default upscaler in most pipelines

## 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 hallucinated detail
- Not optimized specifically for anime or line-art (use anime variant instead)
- Output quality depends on input resolution and compression

## License

BSD 3-Clause