Docker image for FaceFusion: Next generation face swapper and enhancer

You can using EchoMimic in ComfyUI

Demo Streamlit App that leverage CodeLlama to write production ready SAS code

GenAI components at micro-service level; GenAI service composer to create mega-service

PyTorch native quantization and sparsity for training and inference

EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation

Machine Learning Engineering Open Book

🖌️ ComfyUI implementation of ProPainter framework for video inpainting.

Use lama cleaner before inpainting inside stable-diffusion-webui

ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Furthermore, th…

real time face swap and one-click video deepfake with only a single image

MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting

一个超轻量级、可以在移动端实时运行的数字人模型

[CVPR 2024] This is the official source for our paper "SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis"

Industry leading face manipulation platform

Industry leading face manipulation platform

抖音爬虫(a_bogus最新版)、快手、哔哩哔哩、小红书、淘宝、京东、微博等平台爬虫开源api接口服务器。docker一键快速部署。

EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning

MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising

Official implementation of the paper "TANGO: Co-Speech Gesture Video Reenactment with Hierarchical Audio-Motion Embedding and Diffusion Interpolation"

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C++ extensions in PyTorch

📊 Blazing fast Python framework for web crawling, scraping, testing, and reporting. Supports pytest. Stealth abilities: UC Mode and CDP Mode.

[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

The official Python library for the OpenAI API

SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.

RAGOnMedicalKG，将大模型RAG与KG结合，完成demo级问答，旨在给出基础的思路。