Explore the groundbreaking GLIDE model for text-to-image generation in this comprehensive video lecture. Delve into the mechanics of diffusion models and their application in creating photorealistic images from text descriptions. Learn about conditional generation techniques, guided diffusion, and the architecture behind GLIDE. Examine training methodologies, result metrics, and potential failure cases. Gain insights into safety considerations surrounding this powerful technology. Discover how GLIDE compares to other models like DALL-E and understand its implications for text-driven image editing and inpainting.
GLIDE- Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Overview
Syllabus
- Intro & Overview
- What is a Diffusion Model?
- Conditional Generation and Guided Diffusion
- Architecture Recap
- Training & Result metrics
- Failure cases & my own results
- Safety considerations
Taught by
Yannic Kilcher
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