mikonvergence/DiffusionFastForward
DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
This project provides a comprehensive starting point for training new diffusion models to generate images. It helps you take a dataset of images and train a model that can create new, similar images or transform existing ones. It's designed for machine learning researchers, students, or anyone looking to understand and experiment with the latest generative AI techniques.
678 stars. No commits in the last 6 months.
Use this if you want to learn how to train your own image-generating diffusion models from scratch using your own data, without needing powerful hardware.
Not ideal if you're looking for pre-trained models to immediately generate images or if you're not interested in the training and development process of generative AI.
Stars
678
Forks
69
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 11, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/mikonvergence/DiffusionFastForward"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
quantgirluk/aleatory
📦 Python library for Stochastic Processes Simulation and Visualisation
blei-lab/treeffuser
Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression...
TuftsBCB/RegDiffusion
Diffusion model for gene regulatory network inference.
yuanchenyang/smalldiffusion
Simple and readable code for training and sampling from diffusion models
chairc/Integrated-Design-Diffusion-Model
IDDM (Industrial, landscape, animate, latent diffusion), support LDM, DDPM, DDIM, PLMS, webui...