### 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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