Delete unused files , fix documentation

README.md

@@ -20,7 +20,7 @@ python_version: "3.11"
 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
 [![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97-Hugging%20Face-orange)](https://huggingface.co/MJaheen/Pepe_The_Frog_model_v1_lora)
 
-[Demo](https://huggingface.co/spaces/MJaheen/Pepe-Meme-Generator) • [Documentation](./docs/) • [Training Guide](./docs/TRAINING.md) • [Report Bug](https://github.com/YOUR_USERNAME/pepe-meme-generator/issues)
+[Demo](https://huggingface.co/spaces/MJaheen/Pepe-Meme-Generator) • [Documentation](./docs/) • [Training Guide](./docs/TRAINING.md) • [Report Bug](https://github.com/MJaheen/-Pepe-Meme-Generator-/issues)
 
 </div>
 
@@ -33,12 +33,12 @@ python_version: "3.11"
 - [Installation](#-installation)
 - [Usage](#-usage)
 - [Model Information](#-model-information)
-- [Performance Optimization](#-performance-optimization)
 - [Project Structure](#-project-structure)
 - [Training](#-training-your-own-model)
 - [Contributing](#-contributing)
 - [License](#-license)
 - [Acknowledgments](#-acknowledgments)
+- [Contact & Support](#-contact--support)
 
 ---
 
@@ -227,8 +227,6 @@ pepe-meme-generator/
 │   └──TRAINING.md               # Model training guide
 ├── models/                       # Downloaded models (gitignored)
 ├── outputs/                      # Generated images (gitignored)
-├── scripts/                      # Utility scripts
-├── tests/                        # Test files
 ├── diffusion_model_finetuning.ipynb  # Training notebook
 ├── requirements.txt              # Python dependencies
 ├── .gitignore                    # Git ignore rules
@@ -288,7 +286,6 @@ Or check out the **[diffusion_model_finetuning.ipynb](./diffusion_model_finetuni
 - **Stable Diffusion 1.5** - Base diffusion model
 - **LoRA** - Low-Rank Adaptation for efficient fine-tuning
 - **LCM** - Latent Consistency Model for fast inference
-- **DPM Solver** - Fast diffusion sampling
 
 ### Image Processing
 - **Pillow (PIL)** - Image manipulation
@@ -315,7 +312,7 @@ Contributions are welcome! Here's how you can help:
 
 ```bash
 # Clone and setup
-git clone https://github.com/YOUR_USERNAME/pepe-meme-generator.git
+git clone https://https://github.com/MJaheen/-Pepe-Meme-Generator-
 cd pepe-meme-generator
 python -m venv venv
 source venv/bin/activate
@@ -340,9 +337,6 @@ streamlit run src/app.py
 **Issue**: Slow generation on CPU  
 **Solution**: Use "Pepe + LCM (FAST)" model with 6 steps
 
-**Issue**: Model not loading  
-**Solution**: Clear Streamlit cache with "Clear Cache & Reload" button
-
 **Issue**: Import errors  
 **Solution**: Reinstall dependencies: `pip install -r requirements.txt --force-reinstall`
 

docs/TRAINING.md

@@ -51,12 +51,6 @@ This guide covers how to fine-tune your own Stable Diffusion model using LoRA (L
 - RAM: 32GB system RAM
 - Storage: 50GB+ SSD
 
-**Cloud Options**:
-- Google Colab (Free T4 GPU)
-- Kaggle Notebooks (Free GPU)
-- Lambda Labs
-- RunPod
-- Vast.ai
 
 ### Software Requirements
 

src/model/generator.py

@@ -57,11 +57,6 @@ class PepeGenerator:
         
         Args:
             config: ModelConfig instance. If None, uses default configuration.
-        
-        Example:
-            >>> config = ModelConfig()
-            >>> config.USE_LCM = True  # Enable fast generation
-            >>> generator = PepeGenerator(config)
         """
         self.config = config or ModelConfig()
         self.device = self._get_device(self.config.FORCE_CPU)

src/utils/image_processor.py

@@ -224,11 +224,7 @@ class ImageProcessor:
         
         Returns:
             Enhanced PIL Image (modified in-place)
-        
-        Example:
-            >>> image = Image.open("soft_image.png")
-            >>> enhanced = ImageProcessor.enhance_image(image, sharpness=1.3, contrast=1.2)
-            >>> enhanced.save("sharp_image.png")
+
         """
         
         # Sharpen