Update README.md

README.md

@@ -31,7 +31,7 @@ The provided OpenVINO™ IR model is compatible with:
 * OpenVINO version 2024.5.0 and higher
 * Optimum Intel 1.21.0 and higher
 
-## Running Model Inference
+## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
 
 1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
 
@@ -42,21 +42,51 @@ pip install optimum[openvino]
 2. Run model inference:
 
 ```
-from optimum.intel import OVLatentConsistencyModelPipeline
+from optimum.intel.openvino import OVDiffusionPipeline
 
 model_id = "OpenVINO/LCM_Dreamshaper_v7-int8-ov"
-pipeline = OVLatentConsistencyModelPipeline.from_pretrained(model_id)
+pipeline = OVDiffusionPipeline.from_pretrained(model_id)
 
 prompt = "sailing ship in storm by Rembrandt"
 images = pipeline(prompt, num_inference_steps=4).images
 ```
 
-## Usage examples
+## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
 
-* [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)
+1. Install packages required for using OpenVINO GenAI.
+```
+pip install huggingface_hub
+pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
+```
+
+2. Download model from HuggingFace Hub
+   
+```
+import huggingface_hub as hf_hub
+
+model_id = "OpenVINO/LCM_Dreamshaper_v7-int8-ov"
+model_path = "LCM_Dreamshaper_v7-int8-ov"
+
+hf_hub.snapshot_download(model_id, local_dir=model_path)
+
+```
+
+3. Run model inference:
+
+```
+import openvino_genai as ov_genai
+from PIL import Image
+
+device = "CPU"
+pipe = ov_genai.Text2ImagePipeline(model_path, device)
+
+prompt = "sailing ship in storm by Rembrandt"
+image_tensor = pipe.generate(prompt, num_inference_steps=4)
+image = Image.fromarray(image_tensor.data[0])
+
+```
+
+More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://github.com/openvinotoolkit/openvino.genai/blob/master/src/README.md) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
 
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