Update outdated links in text-to-image genai notebook (#2581)

openvinotoolkit · Dec 5, 2024 · 9ee0a23 · 9ee0a23
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diff --git a/notebooks/text-to-image-genai/README.md b/notebooks/text-to-image-genai/README.md
@@ -11,7 +11,7 @@ In this tutorial we consider how to use OpenVINO GenAI for image generation scen
 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: 
 1. Export OpenVINO IR format model using the [Hugging Face Optimum](https://huggingface.co/docs/optimum/installation) library accelerated by OpenVINO integration.
 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).
-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.
+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.
 
 The tutorial consists of following steps:
 - Prerequisites

diff --git a/notebooks/text-to-image-genai/text-to-image-genai.ipynb b/notebooks/text-to-image-genai/text-to-image-genai.ipynb
@@ -15,7 +15,7 @@
     "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",
     "1. Export OpenVINO IR format model using the [Hugging Face Optimum](https://huggingface.co/docs/optimum/installation) library accelerated by OpenVINO integration.\n",
     "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",
-    "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",
+    "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",
     "\n",
     "\n",
     "\n",