From 9ee0a230f0bc14ea25b48800705bb66aa96a3d3c Mon Sep 17 00:00:00 2001 From: Aleksandr Mokrov Date: Thu, 5 Dec 2024 13:30:01 +0100 Subject: [PATCH] Update outdated links in text-to-image genai notebook (#2581) --- notebooks/text-to-image-genai/README.md | 2 +- notebooks/text-to-image-genai/text-to-image-genai.ipynb | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/notebooks/text-to-image-genai/README.md b/notebooks/text-to-image-genai/README.md index 8a5162cc53e..096035f48d1 100644 --- 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 index 36caf23d652..2ea8c5aeb8d 100644 --- 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",