Update README.md

README.md

@@ -29,21 +29,21 @@ 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/LCM_Dreamshaper_v7-fp16-ov"
-tokenizer = AutoTokenizer.from_pretrained(model_id)
-model = OVModelForCausalLM.from_pretrained(model_id)
+pipeline = OVStableDiffusionPipeline.from_pretrained(model_id)
 
-inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
-
-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/latent-consistency-models-image-generation/latent-consistency-models-optimum-demo.ipynb)
+* [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai):
+  -  [C++ image generation pipeline](https://github.com/openvinotoolkit/openvino.genai/tree/master/image_generation/lcm_dreamshaper_v7/cpp)
 
 ## Legal information