Lists (32)
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3D图像生成
confyui
confyui 相关的代码face
人脸相关项目,包括人脸编辑,动画生成等GAN
Image Edit
图像编辑image generatate
图像生成NeRF
神经辐射场OCR
SAM
sd-webui
关于stable diffusion的webui应用stable-diffusion
扩散模型transformer video
video generatate
视频生成代码或应用合集
光流估计
动漫相关
图像修复
图像文本匹配
图片搜索/图像匹配
基于扩散算法的图文算法
多任务
一个模型可以完成多个不同类别的任务大模型相关
大模型应用项目
换脸
数据集
目标检测/风格/姿态
包含目标检测,分割,姿态检测等项目目标跟踪/视频插帧
虚拟换衣
虚拟角色
包括人脸,人体重建驱动等视频插值
音频处理(生成)
风格迁移
Stars
Make Step1X-Edit avialbe in ComfyUI.
A set of ComfyUI nodes providing additional control for the LTX Video model
Official repository of "TryOffAnyone: Tiled Cloth Generation from a Dressed Person"
A powerful set of tools for ComfyUI
This repository is the ComfyUI version of FaceChain
HunyuanVideo: A Systematic Framework For Large Video Generation Model
LLM2CLIP makes SOTA pretrained CLIP model more SOTA ever.
Font Animation, Automatic Speech Recognition and Text to Speech Custom Nodes for ComfyUI
Some awesome comfyui workflows in here, and they are built using the comfyui-easy-use node package.
This is a study aim to transfer the single concept by using DIT model self-attention capablity
for tile the image for advanced control or modification
[NeurIPS 2024] DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340
Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team | Netflix级字幕切割、翻译、对齐、甚至加上配音,一键全自动视频搬运AI字幕组
[ICLR'24 & IJCV‘25] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
[ECCV2024] IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
[ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
Code release for our NeurIPS 2024 Spotlight paper "GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing"
Official implementation of "Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance" (NeurIPS 2024)
This repository demonstrates browser based implementation of DepthAnything and DepthAnythingV2 models. It is powered by Onnx and does not require any web servers or APIs.
InstantDrag: Improving Interactivity in Drag-based Image Editing