![]() ![]() Improve performance of sparse Transformer models Use Asynchronous Execution to Improve Data Pipelining Use Neural Network Compression Framework (NNCF) to quantize PyTorch model in post-training mode (without model fine-tuning) Migrate YOLOv5 POT API based quantization pipeline on Neural Network Compression Framework (NNCF)ġ12-pytorch-post-training-quantization-nncf Quantize a kidney segmentation model and show live inference ![]() Quantize speech recognition models using NNCF PTQ API Optimize and quantize a pre-trained BERT model Notebookġ01-tensorflow-classification-to-openvinoĬonvert PaddlePaddle models to OpenVINO IRĭownload, convert and benchmark models from Open Model Zoo Tutorials that explain how to optimize and quantize models with OpenVINO tools. Object segmentation with EfficientSAM and OpenVINO Use Stable-Zephyr as chatbot assistant with OpenVINO High-resolution image generation with Segmind-VegaRT and OpenVINO Single-step image generation using SDXL-turbo and OpenVINO Sound Generation with AudioLDM2 and OpenVINO™ Text-to-image generation with Würstchen and OpenVINO™Īutomatic speech recognition using Distil-Whisper and OpenVINO™įrame interpolation with FILM and OpenVINO™ Generate creative QR codes with ControlNet QR Code Monster and OpenVINO™ Text-to-Image Generation with LCM LoRA and ControlNet Conditioning Speedup ControlNet pipeline with LCM LoRA Image generation with Latent Consistency Models (LCM) and OpenVINO™ Latent Consistency Models: the next generation of Image Generation models SoftVC VITS Singing Voice Conversion and OpenVINO™ Object segmentations with FastSAM and OpenVINO™ Image generation with DeciDiffusion and OpenVINO™ Subject-driven image generation and editing using BLIP Diffusion and OpenVINO™ Visual-language assistant with LLaVA and OpenVINO™īLIP-Diffusion - Subject-Driven Generation Text-to-Speech generation using Bark and OpenVINO™ Text-to-video synthesis with ZeroScope and OpenVINO™Ĭreate LLM-powered Chatbot using OpenVINO™Ĭreate LLM-powered RAG system using OpenVINO™ and LangChain Image Generation with Tiny-SD and OpenVINO™ Image generation with Stable Diffusion XL and Segmind Stable Diffusion 1B (SSD-1B) and OpenVINO™Ĭontrollable Music Generation with MusicGen and OpenVINO™ Stable Diffusion XL and Segmind Stable Diffusion 1B (SSD-1B) Instruction following using Databricks Dolly 2.0 and OpenVINO™ Text-to-Image Generation with DeepFloyd IF and OpenVINO™īinding multimodal data using ImageBind and OpenVINO™ Visual Question Answering and Image Captioning using BLIP and OpenVINO™īlog - Multimodality with OpenVINO - BLIP Perform Zero-shot Image Classification with CLIP and OpenVINOīlog - Generative AI and Explainable AI with OpenVINO Generate subtitles for video with OpenAI Whisper and OpenVINO Text-to-Image Generation and Infinite Zoom with Stable Diffusion v2 and OpenVINO™īlog - How to run Stable Diffusion on Intel GPUs with OpenVINO Prompt based object segmentation mask generation using Segment Anything and OpenVINO™īlog - SAM: Segment Anything Model - Versatile by itself and Faster by OpenVINOĪ Text-to-Image Generation with ControlNet Conditioning and OpenVINO™īlog - Control your Stable Diffusion Model with ControlNet and OpenVINO Notebookīlog - How to get YOLOv8 Over 1000 fps with Intel GPUs? The notebooks provide an introduction to OpenVINO basics and teach developers how to leverage our API for optimized deep learning inference.Ĭheck out the latest notebooks that show how to optimize and deploy popular models on Intel CPU and GPU. A collection of ready-to-run Jupyter notebooks for learning and experimenting with the OpenVINO™ Toolkit.
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