chaski blog

Applied ML and DSP

Course: Fractal-U LLMs

Tips for LLM prompts

LLM

deep learning

General tips to get better outputs from ChatGPT.

Stable Diffusion v2 with dynamic Classifier-free Guidance

diffusion

classifier-free guidance

deep learning

Running dynamic CFG with the Stable Diffusion v2 model.

Classifier-free Guidance with Cosine Schedules Pt. 7

diffusion

classifier-free guidance

deep learning

Improving generated images with dynamic Classifier-free Guidance across Diffusion models.

Classifier-free Guidance with Cosine Schedules Pt. 6

diffusion

classifier-free guidance

deep learning

Combining the best schedules and normalizations so far.

Classifier-free Guidance with Cosine Schedules Pt. 5

diffusion

classifier-free guidance

deep learning

Exploring a range of guidance values for T-Normalization.

Classifier-free Guidance with Cosine Schedules Pt. 4

diffusion

classifier-free guidance

deep learning

Exploring the effect of k-decay on Cosine Schedules.

Classifier-free Guidance with Cosine Schedules Pt. 3

diffusion

classifier-free guidance

deep learning

Experiments with cosine schedules and normalizations for Classifier-free Guidance.

Dynamic Classifier-free Guidance Pt. 2

diffusion

classifier-free guidance

deep learning

Experiments with normalizations for Classifier-free Guidance.

Libraries for dynamic Classifier-free Guidance

diffusion

deep learning

Introducing two helper libraries to run dynamic Classifier-free Guidance.

Dynamic Classifier-free Guidance Pt. 1

diffusion

classifier-free guidance

deep learning

Experiments with cosine schedules for Classifier-free Guidance.

A PyTorch SLERP implementation

diffusion

latent interpolation

SLERP

SLERP implemented in PyTorch with proper thresholding.

Intro to normalizing and scheduling Classifier-free Guidance

diffusion

classifier-free guidance

deep learning

Changing the Classifier-Free Guidance parameter during diffusion.

Merging an arbitrary number of Binary Trees

Binary Tree

algorithms

functional

Using functional python tools to merge several Binary Trees together.

Complex Rayleigh Weight Initializations

deep learning

complex networks

Creating complex-valued Rayleigh initializations for neural networks.

Normalizing spectrograms for Deep Learning

deep learning

spectrogram normalizations

Scaling spectrograms for classification tasks with neural networks.