I've been saying I was going to update my AI notebook library for months, but things keep changing and improving so fast that, by the time I learn a new notebook well enough to use it, a new update or new technique is released. The breakneck speed shows no signs of abating, but I decided I'd go ahead and add a few of the most impressive notebooks that have emerged recently to the library, anyway! This will probably be out of date as soon as I hit publish, but that's not a bad thing--being involved in an art form that's evolving as quickly as this one is incredibly exciting. I hope this excites some of you guys, too!
Without further ado, here are the new tomes I added to the Library; you can see them in context in the post linked above!
9. JAX Clip-Guided Diffusion
Description: [Via Gituhub] "The models are denoising diffusion probabilistic models (https://arxiv.org/abs/2006.11239), which are trained to reverse a gradual noising process, allowing the models to generate samples from the learned data distributions starting from random noise."
Authors: Katherine Crowson and John David Pressman
Notebook Link
10. CLIP Guided Deep Image Prior
Description: Creates soft, print-like images quite unlike what you generally get out of other CLIP-guided diffusion models
Authors: Daniel Russell, based on work by Katherine Crowson and Ryan Murdock
Notebook Link
11. Disco Diffusion
Description: My daily drive; Very high quality image results very quickly; comes fully loaded with 3D animation capabilities and the latest Clip models.
Authors: Somnai and Adam Letts
Notebook Link
12. Disco Diffusion Turbo
https://twitter.com/KaliYuga_ai/status/1502057904693723137?s=20&t=MLWq2-K9-Rc7Bu5IN9wZWg
- KaliYuga_ai
Description: A fork of Disco which speeds up and cleans up 3D animation significantly. I also use this all the time!
Author: Chris Allen
Notebook Link
Bonus by Chris Allen Notebook: Wiggle Standalone Keyframe Generator; lets you generate keyframe instructions that give you fine control over Turbo's motion.