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Discover the power of NVIDIA NIM for AI art creation! In this tutorial, we'll show you how to generate images and videos using simple Python code and open-weight models. 🦆 Create AI art of our beloved AI Product Engineer mascot, the Ducktyper 🎨 Compare Stable Diffusion XL and standard Stable Diffusion models 🎬 Transform static images into short videos Perfect for developers, AI enthusiasts, and creatives of all levels! 📌 Timestamps: 00:00 - Introduction to AI Product Engineer logo and NVIDIA NIM 00:54 - Getting started with NVIDIA Launchpad 01:22 - Setting up the Python notebook 01:39 - Using Stable Diffusion XL and standard Stable Diffusion 02:08 - Converting API results to JPEG 02:43 - Comparing generated images 03:24 - Introduction to video generation 03:53 - Generating video from the happy duck image 04:48 - Comparing original and AI-generated videos 05:18 - Exploring other NVIDIA NIM use cases 06:18 - Conclusion 🔧 Key Features of NVIDIA NIM: User-friendly for non-AI experts Fast processing and response times Variety of pre-selected models for different use cases SDKs available for various programming languages 💡 Use Cases Mentioned: Image generation Video creation from static images Weather forecasting Drug discovery Gaming Retail applications Language models (like Llama) Embedding models Image-to-text models 🔗 Useful Links: NVIDIA NIM signup: https://build.nvidia.com/explore/disc... Tutorial: https://aiproduct.engineer/tutorials/... AI Product Engineer community: https://aiproduct.engineer New to AI development? NVIDIA NIM makes it easy to create powerful, robust, and fast AI products. Try it today and join the AI Product Engineer community! Have you tried NVIDIA NIM? Share your experience in the comments! #NVIDIANIM #AIArt #MachineLearning #ComputerVision #AITutorial Don't forget to like, subscribe, and hit the notification bell to stay updated on the latest AI product engineering tutorials!