update

README.md

@@ -42,12 +42,30 @@ To use this model for generating images from text prompts, follow these steps:
    pip install -r requirements.txt
    ```
 
-3. **Generate Images:**
-   Use the provided script `generate_images.py` to generate images from text prompts.
-   ```bash
-   python generate_images.py --prompt "photo of Iyad Radi"
-   ```
-   You can replace the prompt with your desired textual description.
+3.## Usage
+
+Here is an example of how you can use the `stabilityai/stable-diffusion-xl-base-1.0` model for text-to-image generation in Python using the `diffusers` library.
+
+```python
+from diffusers import DiffusionPipeline
+import torch
+
+# Load LoRA weights
+lora_weights = torch.load("/path/to/lora_weights/pytorch_lora_weights.safetensors")
+
+# Initialize the DiffusionPipeline
+pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16)
+pipe.to("cuda")
+
+# Load LoRA weights into the pipeline
+pipe.load_lora_weights(lora_weights)
+
+# Text prompt for image generation
+prompt = "photo of Iyad Radi with cat in the pool"
+
+# Generate Images
+image = pipe(prompt, num_inference_steps=30, guidance_scale=7.5).images
+
 
 4. **Generated Images:**
    The generated images will be saved in the `output_images` directory by default.