Introduction
Getting started with text-to-image generation
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1. Latent Diffusion
What is diffusion?
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High-level overview
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Scheduler
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U-Net model
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Train a model
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Evaluating generated images
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2. Conditioned Diffusion Models
Conditioned diffusion models
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Challenge: CIFAR-10
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Solution: CIFAR-10
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3. Encoders and Stable Diffusion
Next steps for your AI journey
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Text encoders in CLIP
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Text encoder in practice
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Putting it all together with Stable Diffusion
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Bias, limitations, and controversy
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Conclusion
Next steps for your AI journey
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4313001_Glossary_AI_Workshop_Text_to_Image_Generation.zip
(61 KB)