Colab notebook for Stable Diffusion Hyper-SDXL.

Training RAVE, vschaos2, MSPrior, AFTER and RAVE Latent Diffusion models on Kaggle or Colab

A repo for shared Jupyter and Colab notebooks

A curated list of awesome Diffusion notebooks, tools, software, tutorials and resources.

S2D2: Simple Stable Diffusion based on Diffusers (Hires.fix on jupyter notebook, ipython or python interactive shell)

Simple Google Colab Notebook with text2img and image2image generation. Use duffusers from Hugging Face

A notebook created for training StableTTS models in Google Colab easily!

Repository with Deep Learning implementations in Jupyter Notebooks

This repo contains the notebooks and projects that I made to learn about different deep learning concepts in PyTorch

A simple, easy-to-understand library for diffusion models using Flax and Jax. Includes detailed notebooks on DDPM, DDIM, and EDM with simplified mathematical explanations. Made as part of my journey for learning and experimenting with generative AI.

Diffusion modeling code and notebooks

Educational notebooks that demystify Large Language Models and Computer Vision. We build everything from scratch — from a simple bigram language model to RNNs, LSTMs, Attention, Transformers, CNNs, and Diffusion models (DDPM) — using pure Python and PyTorch. No hype. Just code.

Jupyter notebooks for Dataset Curation & Training Loras based on Derrian Distro, Linaqruf, AndroidXL, One Trainer, KohakuBluleaf, KohyaSS, Holostrawberry, Jelosus2's work.

Series of notebooks to record my exploration on diffusion, mainly focusing on using it for image generation.

Explore notebooks that teach LLMs and vision models from scratch with Python and PyTorch, from bigrams to Transformers and diffusion.

🚀 Next-gen FP8 diffusion pipeline with ComfyUI backend & smart caching. Professional image generation on free Colab — zero setup, modular src/ package, one-click notebook.

Schema-driven ML experimentation platform: visual graph editor, 51 live demo models across GANs, diffusion, VAEs, vision, NLP, and physics; runs in TF.js, PyTorch, and notebooks.