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README.md

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-license: mit
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+---
+license: mit
+---
+
+# SDv1.5 Patterns1K LoRA Usage Guide
+
+## Introduction
+`SDv1.5 Patterns1K LoRA` is a fine-tuned model based on Stable Diffusion v1.5, specifically optimized for generating patterns from the Patterns-1K dataset. Using LoRA (Low-Rank Adaptation) technology, the model has been adapted to produce higher-quality patterns relevant to the dataset.
+
+## Usage Instructions
+
+### 1. Download Stable Diffusion v1.5 Weights
+Before you begin, ensure you have downloaded the pre-trained weights for Stable Diffusion v1.5. You can download the weights from the [official Stable Diffusion repository](https://huggingface.co/runwayml/stable-diffusion-v1-5).
+
+### 2. Prepare LoRA Weights
+We have trained LoRA weights for the Patterns-1K dataset. You can download the trained LoRA weights from the following links:
+- LoRA weights after 1 epoch: [1epoch_lora.safetensors](link)
+- LoRA weights after 100 epochs: [1epoch_lora.safetensors](link)
+
+### 3. Test the Model
+After downloading the weights, you can use the `test_lora.py` script to test the model's performance. Follow these steps:
+
+#### Install Dependencies
+Ensure you have the following Python libraries installed:
+```bash
+pip install diffusers transformers torch
+```
+
+### 4. Run the Test Script
+To test the model with the LoRA weights trained for 1 epoch:
+```bash
+python test_lora.py
+```