Zhao Wang's starred repositories
StoryDiffusion
Create Magic Story!
Awesome-Video-Object-Segmentation
A curated list of video object segmentation (vos) papers, datasets, and projects.
WuKong-HuaHua
Wukong-Huahua is a diffusion-based model that perfoms text-to-image task in Chinese, which was developed by the Huawei Noah's Ark Lab in cooperation with the Distributed & Parallel Software Lab and Ascend Product Develop Unit
SAM-Adapter-PyTorch
Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts
Awesome-Video-Diffusion
A curated list of recent diffusion models for video generation, editing, restoration, understanding, etc.
animatediff-cli-prompt-travel
animatediff prompt travel
tryondiffusion
TryOnDiffusion: A Tale of Two UNets Implementation
Moore-AnimateAnyone
Character Animation (AnimateAnyone, Face Reenactment)
cloudflared
Cloudflare Tunnel client (formerly Argo Tunnel)
AnimateAnyone
Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
OutfitAnyone
Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person
StableVITON
[CVPR2024] StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
Multi-Human-Parsing
🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥
Graphonomy
Graphonomy: Universal Human Parsing via Graph Transfer Learning
imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
PixArt-alpha
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
taming-transformers
Taming Transformers for High-Resolution Image Synthesis
DCI-VTON-Virtual-Try-On
[ACM Multimedia 2023] Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.
LoRA_Easy_Training_Scripts
A UI made in Pyside6 to make training LoRA/LoCon and other LoRA type models in sd-scripts easy