zhangxulu1996

IC-Light

More relighting!

SpeeD

SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training

PickScore

richhf-18k

RichHF-18K dataset contains rich human feedback labels we collected for our CVPR'24 paper: https://arxiv.org/pdf/2312.10240, along with the file name of the associated labeled images (no urls or images are included in this dataset).

DVAR

Official implementation of "Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics" (NeurIPS 2023)

style-aligned

Official code for "Style Aligned Image Generation via Shared Attention"

awesome-personalization

NeTI

Official Implementation for "A Neural Space-Time Representation for Text-to-Image Personalization" (SIGGRAPH Asia 2023)

CrossInitialization

stellar-dataset

Official Code for the dataset exploration of Stellar: Systematic Evaluation of Human-Centric Personalized Text-to-Image Methods

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

nerfies.github.io

Awesome-Controllable-T2I-Diffusion-Models

A collection of resources on controllable generation with text-to-image diffusion models.

DiffUTE

This repository is the code of our paper "DiffUTE: Universal Text Editing Diffusion Model" (NeurIPS'2023).

GPT-SoVITS

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

so-vits-svc

SoftVC VITS Singing Voice Conversion

LayerDiffuse

Transparent Image Layer Diffusion using Latent Transparency

VGen

Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models

AnimateDiff

Official implementation of AnimateDiff.

Tune-A-Video

[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

PhotoMaker

PhotoMaker

StyleDrop-PyTorch

This is an unofficial PyTorch implementation of StyleDrop: Text-to-Image Generation in Any Style.

ImageReward

[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

semantic-image-editing

StyleCLIP

Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

DiffusionDisentanglement

Official implementation of the paper "Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models

stable-video-diffusion-colab

generative-models

Generative Models by Stability AI

open_clip

An open source implementation of CLIP.