Posts
Tips for LLM prompts
prompt engineering
ChatGPT
notes
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.
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.
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