In just 15 points, we talk about everything you need to know about Generative AI Diffusion models - from the basics to Latent Diffusion Models (LDMs) and Text-to-Image conditional Latent diffusion models. I also train a diffusion model with Pytorch on my laptop to demonstrate how it all works.
To access the full code repo && 15 minute code walkthrough video && 4000+ word script && 15+ animations && powerpoint slides used in this video (as well as others on my channel), please consider supporting us on Patreon! It helps the channel massively, so thanks for considering.
Patreon link: [ Ссылка ]
#diffusion #ai #machinelearning #generativeai
Related videos:
So you think you know Text to Video Diffusion models?
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Attention Series: [ Ссылка ]
Latent Space: [ Ссылка ]
CNNs: [ Ссылка ]
U-Net: [ Ссылка ]
NLP History: [ Ссылка ]
Multimodal Models: [ Ссылка ]
Papers:
DDPM: [ Ссылка ]
CLIP: [ Ссылка ]
LDMs: [ Ссылка ]
Dataset:
You can search for CelebA dataset on Kaggle.
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Timestamps:
0:00 - Intro
1:40 - 1
2:43 - 2
3:24 - 3
5:59 - 4
8:09 - 5
9:49 - 6
11:07 - 7
11:55 - 8
14:11 - 9
16:15 - 10
18:49- 11
19:48 - 12
21:03 - 13
22:07 - 14
23:27 - 15
