Wuerstchen

Image model compressor

A framework that enables efficient training of text-to-image models by compressing the computationally expensive stage into a latent space

Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models

GitHub

531 stars
23 watching
35 forks
Language: Jupyter Notebook
last commit: 10 months ago
diffusion-modelsefficiencymachine-learningstable-diffusion

Related projects:

Repository Description Stars
autodistill/autodistill Automatically trains models from large foundation models to perform specific tasks with minimal human intervention. 2,022
catid/zpng A fast and efficient lossless photographic image compression library 274
intel/neural-compressor Tools and techniques for optimizing large language models on various frameworks and hardware platforms. 2,257
zfturbo/zf_unet_224_pretrained_model A pre-trained convolutional neural network model for image segmentation tasks. 214
vladkryvoruchko/pspnet-keras-tensorflow An implementation of a deep learning model for image segmentation using TensorFlow and Keras 394
richgel999/fpng A C++ library for fast PNG image compression and decompression with optimized algorithms and techniques. 891
horseee/deepcache A novel paradigm to accelerate diffusion models by reusing and updating high-level features in a cheap way 818
preritj/segmentation Deep learning models for semantic segmentation of images 101
cdoersch/vae_tutorial An open-source implementation of Variational Autoencoders and Conditional Variational Autoencoders for image reconstruction tasks 503
spillerrec/cgcompress A tool for efficiently storing and managing visual novel images by compressing variations into a single file 16
auto1111sdk/auto1111sdk A Python library for running state-of-the-art diffusion models, supporting text-to-image and image-to-image generation. 399
deforum/stable-diffusion A latent text-to-image diffusion model that generates high-resolution images from text prompts. 796
kwotsin/tensorflow-enet A deep neural network implementation for real-time semantic segmentation in computer vision 257
neuralmagic/sparseml Enables the creation of smaller neural network models through efficient pruning and quantization techniques 2,083
zhengpeng7/birefnet An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. 1,484