Updated readme

README.md

@@ -12,3 +12,30 @@ The SDXL-Lightning model is converted to OpenVINO for fast inference on CPU.
 Original Model : [SDXL-Lightning](https://huggingface.co/ByteDance/SDXL-Lightning)
 
 You can use this model with [FastSD CPU](https://github.com/rupeshs/fastsdcpu).
+
+To run the model yourself, you can leverage the 🧨 Diffusers library:
+
+1. Install the dependencies:
+```
+pip install optimum-intel openvino diffusers onnx
+```
+2. Run the model:
+```py
+from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionXLPipeline
+
+pipeline = OVStableDiffusionXLPipeline.from_pretrained(
+    "rupeshs/SDXL-Lightning-2steps-openvino-int8",
+    ov_config={"CACHE_DIR": ""},
+)
+prompt = "Teddy bears working on new AI research on the moon in the 1980s"
+
+images = pipeline(
+    prompt=prompt,
+    width=768,
+    height=768,
+    num_inference_steps=2,
+    guidance_scale=1.0,
+).images
+images[0].save("out_image.png")
+```
+