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README.md

@@ -1,3 +1,5 @@
+<!-- README Version: v1.0 -->
+
 ---
 license: apache-2.0
 library_name: realesrgan
@@ -11,7 +13,7 @@ tags:
   - image-enhancement
 ---
 
-# FLUX Upscale Models Collection
+# FLUX Upscale Models Collection v1.0
 
 This repository contains Real-ESRGAN upscale models for post-processing and enhancing generated images. These models can upscale images by 2x or 4x while adding fine details and improving sharpness.
 
@@ -47,7 +49,7 @@ model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23, num_grow_c
 
 upsampler = RealESRGANer(
     scale=4,
-    model_path="path/to/flux-upscale/upscale_models/4x-UltraSharp.pth",
+    model_path="E:\\huggingface\\flux-upscale\\upscale_models\\4x-UltraSharp.pth",
     model=model,
     tile=0,
     tile_pad=10,
@@ -81,7 +83,7 @@ img_array = np.array(image)
 model = RRDBNet(num_in_ch=3, num_out_ch=3, num_feat=64, num_block=23)
 upsampler = RealESRGANer(
     scale=4,
-    model_path="path/to/flux-upscale/upscale_models/4x-UltraSharp.pth",
+    model_path="E:\\huggingface\\flux-upscale\\upscale_models\\4x-UltraSharp.pth",
     model=model
 )
 upscaled, _ = upsampler.enhance(img_array, outscale=4)
@@ -118,6 +120,31 @@ These models are released under the Apache 2.0 license.
 }
 ```
 
+## Performance Tips
+
+- **GPU Acceleration**: Use `half=True` for FP16 inference on compatible GPUs (2x faster)
+- **Tiling**: For large images, enable tiling with `tile=512` to reduce VRAM usage
+- **Batch Processing**: Process multiple images in sequence to amortize model loading time
+- **CPU Fallback**: Models work on CPU but will be significantly slower
+- **Optimal Scale**: Use 2x for faster processing, 4x for maximum detail enhancement
+
+## Model Specifications
+
+- **Architecture**: RRDB (Residual in Residual Dense Block)
+- **Input Channels**: 3 (RGB)
+- **Output Channels**: 3 (RGB)
+- **Feature Dimensions**: 64
+- **Blocks**: 23 (standard configuration)
+- **Format**: PyTorch `.pth` files
+- **Precision**: FP32 (supports FP16 inference)
+
+## Links and Resources
+
+- **Real-ESRGAN Paper**: [arXiv:2107.10833](https://arxiv.org/abs/2107.10833)
+- **Official Repository**: [xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)
+- **BasicSR Library**: [xinntao/BasicSR](https://github.com/xinntao/BasicSR)
+- **Model Downloads**: Available through official Real-ESRGAN releases
+
 ## Model Card Contact
 
-For questions about Real-ESRGAN models, refer to the official Real-ESRGAN repository and documentation.
+For questions about Real-ESRGAN models, refer to the official Real-ESRGAN repository and documentation at https://github.com/xinntao/Real-ESRGAN