course22p2
course.fast.ai 2022 part 2 (by fastai)
StableDiffusion-By-Parts
Slice and dice the Stable Diffusion pipeline, saving to a TIFF file in between sections. (by AndrewPlewe)
course22p2 | StableDiffusion-By-Parts | |
---|---|---|
6 | 4 | |
431 | 8 | |
2.6% | - | |
0.0 | 3.0 | |
11 days ago | 12 months ago | |
Jupyter Notebook | ||
Apache License 2.0 | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
course22p2
Posts with mentions or reviews of course22p2.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-14.
-
Ask HN: Daily practices for building AI/ML skills?
Practical Deep Learning for Coders: https://course.fast.ai/Lessons/part2.html
- Stanford A.I. Courses
-
A quick visual guide to what's actually happening when you generate an image with Stable Diffusion
To me the most important bit is that the diffusion loop turns a noisy latent into an image, does that iteratively, and uses "guidance" in the form of a prompt/controlnet image/etc to do it. The scheduler part, I felt, was needlessly complex for this short explainer, so I hand-wave it away. IF someone wants to dive in deeper, much deeper, they can go through the same thing I'm doing, which is this: https://course.fast.ai/Lessons/part2.html
- Practical Deep Learning for Coders - Part 2 overview
-
Courses for an AI beginner
They also recently released a course for more experienced students where they teach you to implement the Stable Diffusion algorithm from scratch.
-
From Deep Learning Foundations to Stable Diffusion (Part 2)
The full transcripts are available here in plain text form:
https://github.com/fastai/course22p2/tree/master/summaries
StableDiffusion-By-Parts
Posts with mentions or reviews of StableDiffusion-By-Parts.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-08.
- A quick visual guide to what's actually happening when you generate an image with Stable Diffusion
-
Diffusion Explainer: Learn how Stable Diffusion transforms your text prompt into an image!
Code that generates the interstitial images from the diffusion process is here (prototype, ugly and etc): https://github.com/AndrewPlewe/StableDiffusion-By-Parts/tree/prototype
- Proposal -- TIFFSD, saving state during image generation, a method for creating/saving/sharing prompts and image gens, etc
- Prototype code (for the brave and confident w/python), Stable Diffusion By Parts
What are some alternatives?
When comparing course22p2 and StableDiffusion-By-Parts you can also consider the following projects:
developer - the first library to let you embed a developer agent in your own app!
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
playground - Play with neural networks!
latentblending - Create butter-smooth transitions between prompts, powered by stable diffusion
machine-learning-specialization-andrew-ng - A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
simonwillisonblog - The source code behind my blog