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@@ -26,10 +26,10 @@ For more information on quantization, check the [OpenVINO model optimization gui
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  The provided OpenVINO™ IR model is compatible with:
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- * OpenVINO version 2024.2.0 and higher
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- * Optimum Intel 1.17.0 and higher
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- ## Running Model Inference
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  1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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@@ -40,21 +40,52 @@ pip install optimum[openvino]
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  2. Run model inference:
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  ```
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- from optimum.intel.openvino import OVStableDiffusionPipeline
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  model_id = "OpenVINO/stable-diffusion-v1-5-int8-ov"
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- pipeline = OVStableDiffusionPipeline.from_pretrained(model_id)
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  prompt = "sailing ship in storm by Rembrandt"
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- images = pipeline(prompt).images
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  ```
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- ## Usage examples
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- * [OpenVINO notebooks](https://github.com/openvinotoolkit/openvino_notebooks):
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- - [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)
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- * [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai):
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- - [C++ image generation pipeline](https://github.com/openvinotoolkit/openvino.genai/tree/master/image_generation/stable_diffusion_1_5/cpp)
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  ## Limitations
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  The provided OpenVINO™ IR model is compatible with:
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+ * OpenVINO version 2024.6.0 and higher
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+ * Optimum Intel 1.21.0 and higher
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+ ## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
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  1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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  2. Run model inference:
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  ```
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+ from optimum.intel.openvino import OVDiffusionPipeline
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  model_id = "OpenVINO/stable-diffusion-v1-5-int8-ov"
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+ pipeline = OVDiffusionPipeline.from_pretrained(model_id)
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  prompt = "sailing ship in storm by Rembrandt"
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+ images = pipeline(prompt, num_inference_steps=4).images
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  ```
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+ ## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
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+
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+ 1. Install packages required for using OpenVINO GenAI.
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+ ```
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+ pip install huggingface_hub
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+ pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
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+ ```
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+
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+ 2. Download model from HuggingFace Hub
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+
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+ ```
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+ import huggingface_hub as hf_hub
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+
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+ model_id = "OpenVINO/stable-diffusion-v1-5-int8-ov"
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+ model_path = "stable-diffusion-v1-5-int8-ov"
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+
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+ hf_hub.snapshot_download(model_id, local_dir=model_path)
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+
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+ ```
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+
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+ 3. Run model inference:
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+
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+ ```
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+ import openvino_genai as ov_genai
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+ from PIL import Image
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+
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+ device = "CPU"
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+ pipe = ov_genai.Text2ImagePipeline(model_path, device)
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+
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+ prompt = "sailing ship in storm by Rembrandt"
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+ image_tensor = pipe.generate(prompt, num_inference_steps=4)
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+ image = Image.fromarray(image_tensor.data[0])
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+
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+ ```
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+
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+ 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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  ## Limitations
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