Inference pipeline for some Text-to-Image metrics.

Code for reproducing experiments in "SCGAN: Disentangled Representation Learning by Adding Similarity Constraint on Generative Adversarial Nets"

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

finetune stable diffusion with Dreambooth、LoRA、ControlNet

diffusion lora chinese tutorial，虚拟idol训练中文教程

One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Code for "Efficient and Controllable Remote Sensing Fake Sample Generation Based on Diffusion Model"

Let us control diffusion models!

Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

PyTorch DDPM implementation

RF Genesis: Zero-Shot Generalization of mmWave Sensing through Simulation-Based Data Synthesis and Generative Diffusion Models (SenSys'23)

Official Implementation of DifFSS Generation Pipeline

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Denoising Diffusion Probabilistic Models

A latent text-to-image diffusion model

The official code of WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation (ECCV2022)

PyTorch implementation of Adversarially Learned Inference (BiGAN).

code for "Adversarial Feature Learning"

Official repository for Polarity Sampling, CVPR 2022 ORAL

This project aim to share the knowledge and code concerning generative models.