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