cabralpinto / modular-diffusion
Python library for designing and training your own Diffusion Models with PyTorch.
☆279Updated 8 months ago
Alternatives and similar repositories for modular-diffusion:
Users that are interested in modular-diffusion are comparing it to the libraries listed below
- Huggingface-compatible SDXL Unet implementation that is readily hackable☆416Updated last year
- Text to Image Latent Diffusion using a Transformer core☆177Updated 7 months ago
- A simple implimentation of Bayesian Flow Networks (BFN)☆240Updated last year
- A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.☆728Updated 11 months ago
- A tool to analyze and debug neural networks in pytorch. Use a GUI to traverse the computation graph and view the data from many different…☆286Updated 4 months ago
- Minimal implementation of scalable rectified flow transformers, based on SD3's approach☆508Updated 9 months ago
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆569Updated 4 months ago
- ☆481Updated last year
- Unofficial Implementation of Consistency Models in pytorch☆254Updated 2 years ago
- MinImagen: A minimal implementation of the Imagen text-to-image model☆302Updated last year
- Train VAE like a boss☆274Updated 5 months ago
- Implementation of a single layer of the MMDiT, proposed in Stable Diffusion 3, in Pytorch☆338Updated 3 months ago
- TensorHue is a Python library that allows you to visualize tensors right in your console, making understanding and debugging tensor conte…☆114Updated last month
- Diffusion Reading Group at EleutherAI☆320Updated last year
- Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in P…☆203Updated last year
- Official Implementation of Paella https://arxiv.org/abs/2211.07292v2☆745Updated last year
- Implementation of Lumiere, SOTA text-to-video generation from Google Deepmind, in Pytorch☆270Updated 8 months ago
- Integral Neural Networks in PyTorch☆126Updated 4 months ago
- [ECCV 2024] Official Repository for DiffiT: Diffusion Vision Transformers for Image Generation☆490Updated 5 months ago
- Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"☆370Updated last year
- Minimal Implementation of a D3PM in pytorch☆212Updated 11 months ago
- A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)☆280Updated 7 months ago
- minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.☆457Updated last year
- EDM2 and Autoguidance -- Official PyTorch implementation☆682Updated 4 months ago
- PyTorch implementation of CLIP Maximum Mean Discrepancy (CMMD) for evaluating image generation models.☆119Updated last year
- Simple and readable code for training and sampling from diffusion models☆471Updated 3 months ago
- Official implementation of Cold-Diffusion for different transformations in pytorch.☆1,068Updated 2 years ago
- Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch☆530Updated last year
- Implementation of "ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs"☆538Updated last year
- Reproduction of DDPO paper (RLHF for diffusion)☆83Updated last year