Today's Open Source (2024-08-27): Hyper-SD LoRAs Cut FLUX Time; Cursor Best Practices
Today's Open Source (2024-08-27): Hyper-SD LoRAs Cut FLUX Time; Cursor Best Practices
Explore top AI open-source projects: Hyper-SD LoRAs, FancyVideo, motleycrew, Chat Nio, Llama-VITS, and cursor.directory for efficient development.
Here are some interesting AI open-source models and frameworks I wanted to share today:
Project: Hyper-SD / FLUX.1-dev-related LoRAs
Hyper-SD has released a new open-source FLUX.1-dev-related LoRAs, allowing you to generate images with FLUX in just 8 or 16 steps, significantly reducing generation time.
Hyper-SD is an image model distillation algorithm developed by ByteDance's tech team. It delivers much better results from one to eight steps compared to previous methods and supports both SD1.5 and XL.
This innovative framework combines the benefits of preserving and modifying ODE trajectories while compressing inference steps without sacrificing performance.
https://huggingface.co/ByteDance/Hyper-SD
https://arxiv.org/abs/2404.13686
Project: FancyVideo
FancyVideo is a video generation model open-sourced by the 360AI team. It can create videos of any resolution, aspect ratio, style, and motion on consumer-grade GPUs like the GeForce RTX 3090. The derived models can also extend and reverse videos.
Based on AnimateDiff, this project integrates CV-VAE, Res-Adapter, and Long-CLIP technologies, providing inference code and a 61-frame model to customize video generation.
https://github.com/360CVGroup/FancyVideo
https://arxiv.org/abs/2408.08189
Project: motleycrew
motleycrew is a versatile and powerful multi-agent development framework.
It allows users to seamlessly mix and match AI agents and tools from popular frameworks, design advanced workflows, and leverage dynamic knowledge graphs.
motleycrew provides foundational modules for building AI systems, enabling users to focus on high-level design while the framework handles the rest.
https://github.com/ShoggothAI/motleycrew
Project: Chat Nio
Chat Nio is an AI application development project based on Node.js and Socket.IO, offering a recommended chat interface.
It supports text generation and multimodal models like OpenAI, Midjourney, Claude, iFlytek Spark, Stable Diffusion, DALL·E, ChatGLM, Tongyi Qianwen, Tencent Mix Yuan, Gemini, Moonshot, and more.
The project includes features like conversation sharing, custom presets, cloud sync, and backend management with dashboard statistics.
https://github.com/zmh-program/chatnio
Project: Llama-VITS
Llama-VITS is an enhanced text-to-speech (TTS) system that improves synthetic voice quality using semantic information extracted from large-scale language models.
The project provides a PyTorch implementation with multiple models and evaluation metrics. Users can download and preprocess datasets to train and test these models.
https://github.com/xincanfeng/vitsGPT
https://arxiv.org/abs/2404.06714
Project: cursor.directory
Cursor is a popular AI-powered code editor. cursor.directory is an open-source project designed to help developers find the best cursor rules for their frameworks and programming languages.
The project offers a set of predefined cursor rules, making it easy for developers to quickly apply and test them in different development environments.
