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How Diffusion Models Work

In this video, we'll take a deep dive into the inner workings of diffusion models, the state-of-the-art approach for generating realistic and diverse images. 00:00 Introduction 00:27 How Diffusion Models Work 01:07 Denoising Images with U-Net 02:03 Noise Prediction and Removal 03:30 Sampling in Inference and Training 04:02 Time Step Encoding 04:30 Stable Diffusion and Others 05:01 Latent Diffusion 06:25 Image to Image, Inpainting, Outpainting 06:50 Generating Images with Text Prompts 08:04 Classifier-free Guidance and Negative Prompts 09:11 Conclusion