Update README.md

README.md

@@ -28,22 +28,23 @@ pip install optimum[openvino]
 
 2. Run model inference:
 
+
 ```
-from transformers import AutoTokenizer
-from optimum.intel.openvino import OVModelForCausalLM
+from optimum.intel.openvino import OVStableDiffusionPipeline
 
 model_id = "OpenVINO/stable-diffusion-v1-5-fp16-ov"
-tokenizer = AutoTokenizer.from_pretrained(model_id)
-model = OVModelForCausalLM.from_pretrained(model_id)
-
-inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
+pipeline = OVStableDiffusionPipeline.from_pretrained(model_id)
 
-outputs = model.generate(**inputs, max_length=200)
-text = tokenizer.batch_decode(outputs)[0]
-print(text)
+prompt = "sailing ship in storm by Rembrandt"
+images = pipeline(prompt, num_inference_steps=4).images
 ```
 
-For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
+## Usage examples
+
+* [OpenVINO notebooks](https://github.com/openvinotoolkit/openvino_notebooks):
+  - [Latent Consistency Model using Optimum-Intel OpenVINO](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/stable-diffusion-text-to-image/stable-diffusion-text-to-image.ipynb)
+* [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai):
+  -  [C++ image generation pipeline](https://github.com/openvinotoolkit/openvino.genai/tree/master/image_generation/stable_diffusion_1_5/cpp)
 
 ## Limitations