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1
Introduction
2
Composition
3
Diffusion Models
4
Textures
5
Text to Diffusion
6
Texture tiling
7
Example
8
Compositional Structure
9
Stacking Images
10
Fixed Size Training
11
Dynamic Size Training
12
Portrait Mode
Description:
Explore the cutting-edge world of diffusion models in this insightful conference talk by Patrick Esser, co-creator of Stable Diffusion. Delve into advanced concepts such as compositionality, texture generation, and innovative training techniques for next-generation models. Learn about diffusion models, text-to-diffusion processes, texture tiling, and compositional structures. Discover the differences between fixed-size and dynamic-size training, and gain insights into portrait mode applications. Benefit from Esser's expertise as a Principal Research Scientist at Runway and his background in developing groundbreaking models like Stable Diffusion and VQGAN.

Food for Diffusion

HuggingFace
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