Diffusion Models for Image Generation
Dive into the architecture and application of diffusion models for creating high-quality images from text prompts. Explore models like Stable Diffusion and DALL-E, and learn techniques for image synthesis and editing.
38 courses
🎓 With certificate
Building Autoencoders for Image Reconstruction with PyTorch
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R 200.00
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Image Classification with EfficientNet and PyTorch
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R 200.00
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PyTorch Model Training with Exponential Moving Average
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R 200.00
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Configuring Training Arguments for PyTorch Image Classification
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R 200.00
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⚡ Best to start
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Demystifying Diffusion Models: How Generative AI Creates Images
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R 200.00
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Image Augmentation with PyTorch: Mixup and Cutmix Guide
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R 200.00
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Diffusion Models Demystified: Generative AI Interview Prep
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R 200.00
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Text-Guided Depth-to-Image Generation with Stable Diffusion
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R 200.00
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PyTorch Internals: Navigating C++ Source Code for Operators
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R 200.00
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Deep Learning Foundations with PyTorch
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R 200.00
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Generative AI with Diffusion Models: A Practical Guide to Image Synthesis
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Introduction to Diffusion Models: Build Generative AI from Scratch
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R 200.00
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Stable Diffusion for Coders: Generative AI with PyTorch
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R 200.00
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Practical Latent Diffusion with PyTorch
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R 200.00
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Showing 25–38 of 38 courses