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Update outdated links in text-to-image genai notebook (#2581)
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notebooks/text-to-image-genai/README.md

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In this notebook we will demonstrate how to use text to image models like Stable Diffusion 1.5, 2.1, LCM using [Dreamlike Anime 1.0](https://huggingface.co/dreamlike-art/dreamlike-anime-1.0) as an example. All it takes is two steps:
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1. Export OpenVINO IR format model using the [Hugging Face Optimum](https://huggingface.co/docs/optimum/installation) library accelerated by OpenVINO integration.
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The Hugging Face Optimum Intel API is a high-level API that enables us to convert and quantize models from the Hugging Face Transformers library to the OpenVINO™ IR format. For more details, refer to the [Hugging Face Optimum Intel documentation](https://huggingface.co/docs/optimum/intel/inference).
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2. Run inference using the standard [Text to Image pipeline](https://docs.openvino.ai/nightly/learn-openvino/llm_inference_guide/genai-guide/genai-use-cases.html#using-genai-for-text-to-image-generation) from OpenVINO GenAI.
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2. Run inference using the standard [Text-to-Image Generation pipeline](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide/genai-guide.html) from OpenVINO GenAI.
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The tutorial consists of following steps:
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- Prerequisites

notebooks/text-to-image-genai/text-to-image-genai.ipynb

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"In this notebook we will demonstrate how to use text to image models like Stable Diffusion 1.5, 2.1, LCM using [Dreamlike Anime 1.0](https://huggingface.co/dreamlike-art/dreamlike-anime-1.0) as an example. All it takes is two steps: \n",
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"1. Export OpenVINO IR format model using the [Hugging Face Optimum](https://huggingface.co/docs/optimum/installation) library accelerated by OpenVINO integration.\n",
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"The Hugging Face Optimum Intel API is a high-level API that enables us to convert and quantize models from the Hugging Face Transformers library to the OpenVINO™ IR format. For more details, refer to the [Hugging Face Optimum Intel documentation](https://huggingface.co/docs/optimum/intel/inference).\n",
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"2. Run inference using the [Text to Image pipeline](https://openvino-doc.iotg.sclab.intel.com/nightly/learn-openvino/llm_inference_guide/genai-guide/genai-use-cases.html#using-genai-for-text-to-image-generation) from OpenVINO GenAI.\n",
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"2. Run inference using the [Text-to-Image Generation pipeline](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide/genai-guide.html) from OpenVINO GenAI.\n",
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"\n",
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"\n",
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"\n",

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