Implementing MaskGIT for image inpainting with PyTorch

Experiments with Baudelaire and a text-to-image GAN.

yet another VQGAN-CLIP variation

Multi-Modal Image Generation for News Stories

Pipeline to create Paper2Fig dataset, a dataset for text-to-image generation from research papers and figures (e.g., diagrams of architectures or methods in fields like Machine Learning or Computer Vision)

Pytorch implementation of "Taming transformer for high resolution image synthesis (VQGAN)"

VQGAN and CLIP are actually two separate machine learning algorithms that can be used together to generate images based on a text prompt. VQGAN is a generative adversarial neural network that is good at generating images that look similar to others (but not from a prompt), and CLIP is another neural network that is able to determine how well a c…

Vector-Quantized Generative Adversarial Networks

VQGAN from LDM without hell of dependencies

Text-to-Image Synthesis using Multimodal (VQGAN + CLIP) Architectures

Video generation of anime content based on the first and last frame

An unofficial PyTorch implementation of VQGAN

Colabs for text prompt steered image generators

Docker for VQGAN+CLIP (z+quantize method)

Art generation using VQGAN + CLIP using docker containers. A simplified, updated, and expanded upon version of Kevin Costa's work. This project tries to make generating art as easy as possible for anyone with a GPU by providing a simple web UI.

Implementation of Taming Transformers for High-Resolution Image Synthesis (https://arxiv.org/abs/2012.09841) in PyTorch

[ICLR 2024] DAEFR: Dual Associated Encoder for Face Restoration

Traditional deepdream with VQGAN+CLIP and optical flow. Ready to use in Google Colab.

VQ-VAE/GAN implementation in pytorch-lightning