lonngxiang

lonngxiang's Stars

• kleinlee/DH_live

  每个人都能用的数字人

  Language:Python670147

• OpenT2S/LlamaVoice

  LlamaVoice is a llama-based large voice generation model, providing inference and training ability.

  Language:Python22011

• pytorch/torchchat

  Run PyTorch LLMs locally on servers, desktop and mobile

  Language:Python3.4k219

• sczhou/ProPainter

  [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

  Language:Python5.6k667

• black-forest-labs/flux

  Official inference repo for FLUX.1 models

  Language:Python15.8k1.1k

• onwidget/astrowind

  ⭕️ AstroWind: A free template using Astro 4.0 and Tailwind CSS. Astro starter theme.

  Language:Astro3.4k1k

• InternLM/MindSearch

  🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

  Language:JavaScript5.1k517

• hustvl/EVF-SAM

  Official code of "EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model"

  Language:Python30613

• sickcodes/Docker-OSX

  Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.

  Language:Shell48.2k2.7k

• IDEA-Research/TAPTR

  [ECCV 2024] Official implementation of the paper "TAPTR: Tracking Any Point with Transformers as Detection"

  Language:Python19912

• ShihaoZhaoZSH/Uni-ControlNet

  [NeurIPS 2023] Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models

  Language:Python60742

• kohya-ss/sd-scripts

  Language:Python5.2k867

• bmaltais/kohya_ss

  Language:Python9.6k1.2k

• huggingface/optimum-quanto

  A pytorch quantization backend for optimum

  Language:Python82161

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook12.3k1.1k

• LykosAI/StabilityMatrix

  Multi-Platform Package Manager for Stable Diffusion

  Language:C#4.7k298

• Xiaojiu-z/Stable-Hair

  Stable-Hair: Real-World Hair Transfer via Diffusion Model

  Language:Python36427

• TencentARC/PhotoMaker

  PhotoMaker [CVPR 2024]

  Language:Jupyter Notebook9.5k767

• HVision-NKU/StoryDiffusion

  Accepted as [NeurIPS 2024] Spotlight Presentation Paper

  Language:Jupyter Notebook5.9k595

• DeepGraphLearning/ProtST

  [ICML-23 ORAL] ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts

  Language:Python877

• mu-fazil-vk/FluxTube

  A powerful and ad-free YouTube client built using Flutter. Watch YouTube videos without ads, subscribe to channels, retrieve video dislikes, read comments, save videos, and much more.

  Language:Dart35712

• mpflutter/mpflutter

  MPFlutter 是一个跨平台 Flutter 开发框架，可用于微信小程序以及 Web 应用开发。

  Language:Dart2k134

• NVIDIA/BigVGAN

  Official PyTorch implementation of BigVGAN (ICLR 2023)

  Language:Python882101

• mpetroff/pannellum

  Pannellum is a lightweight, free, and open source panorama viewer for the web.

  Language:JavaScript4.3k724

• sxzxs/Real-time-translation-typing

  实时打字翻译软件、语音实时打字、语音实时翻译、LOL 语音打字

  Language:AutoHotkey1.4k121

• lllyasviel/LayerDiffuse

  Transparent Image Layer Diffusion using Latent Transparency

  2k26

• npmstudy/indie-dev-with-ai

  独立开发者的最佳技术栈

  Language:MDX20913

• Ikaros-521/AI-Vtuber

  AI Vtuber是一个由 【ChatterBot/ChatGPT/claude/langchain/chatglm/text-gen-webui/闻达/千问/kimi/ollama】 驱动的虚拟主播【Live2D/UE/xuniren】，可以在 【Bilibili/抖音/快手/微信视频号/拼多多/斗鱼/YouTube/twitch/TikTok】 直播中与观众实时互动 或 直接在本地进行聊天。它使用TTS技术【edge-tts/VITS/elevenlabs/bark/bert-vits2/睿声】生成回答并可以选择【so-vits-svc/DDSP-SVC】变声；指令协同SD画图。

  Language:Python3.1k464

• sgl-project/sglang

  SGLang is a fast serving framework for large language models and vision language models.

  Language:Python6k496

• Zheng-Chong/CatVTON

  CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).

  Language:Python897107