Update README.md

README.md

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----
-license: bsd-3-clause
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+---
+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