Stability AI hat eine signifikante Präsenz auf GitHub, wo eine Vielzahl von Repositories bereitgestellt wird. Die Organisation nutzt hauptsächlich Programmiersprachen wie Python, Jupyter Notebook und TypeScript. Zu den bemerkenswerten Projekten gehören generative Modelle und StableLM, die sich auf KI-Sprachmodelle konzentrieren.
Generative Models by Stability AI
StableLM: Stability AI Language Models
Community interface for generative AI
Official Code for Stable Cascade
StableSwarmUI, A Modular Stable Diffusion Web-User-Interface, with an emphasis on making powertools easily accessible, high performance, and extensibility.
Generative models for conditional audio generation
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
Stable Virtual Camera: Generative View Synthesis with Diffusion Models
Keine Beschreibung für dieses Repository vorhanden.
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
Keine Beschreibung für dieses Repository vorhanden.
A family of state-of-the-art Transformer-based audio codecs for low-bitrate high-quality audio coding.
Keine Beschreibung für dieses Repository vorhanden.
Metrics for evaluating music and audio generative models – with a focus on long-form, full-band, and stereo generations.
Keine Beschreibung für dieses Repository vorhanden.
Keine Beschreibung für dieses Repository vorhanden.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
A framework for few-shot evaluation of autoregressive language models.
Keine Beschreibung für dieses Repository vorhanden.
Interface definitions for API interactions between components
Code Assistance/ Developer Productivity suite of Models
Awesome Stability List
Stability REST API examples, issues, and discussions | https://api.stability.ai
Iterable datapipelines for pytorch training.
python library for invisible image watermark (blind image watermark)
Stability.AI Model Metadata Standard Specification
Relightable multi-view 3D reconstruction with disentangled illumination and spatially varying PBR materials
Keine Beschreibung für dieses Repository vorhanden.
Deploy your HPC Cluster on AWS in 20min. with just 1-Click.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Keine Beschreibung für dieses Repository vorhanden.
Golang functions for interacting with Stability API
Official implementation of AnimateDiff.
Keine Beschreibung für dieses Repository vorhanden.
A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.
Karras et al. (2022) diffusion models for PyTorch
Keine Beschreibung für dieses Repository vorhanden.
External project in GitHub for marketing purposes. This repo will be used for code samples that accompany blog posts on https://stability.ai/learning-hub
A library for training and deploying machine learning models on Amazon SageMaker
Using Low-rank adaptation to quickly fine-tune diffusion models + HF Accelerate
Notebooks for Stability AI models
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Keine Beschreibung für dieses Repository vorhanden.
Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Variance reduction for Sliced Wasserstein Distance using Reservoir Sampling.
Keine Beschreibung für dieses Repository vorhanden.
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Fast and memory-efficient exact attention
Keine Beschreibung für dieses Repository vorhanden.
Code for building and running containers available on AWS marketplace
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
Model API for GALACTICA
Keine Beschreibung für dieses Repository vorhanden.
An open source implementation of CLIP.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Keine Beschreibung für dieses Repository vorhanden.
Keine Beschreibung für dieses Repository vorhanden.
Keine Beschreibung für dieses Repository vorhanden.
Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
A high-throughput and memory-efficient inference and serving engine for LLMs
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A Python-CUDA implementation of the Wavelet Transform
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
GH app to listen for actions build requests and submit
A tool for comparing large S3 buckets
Use Hugging Face with JavaScript
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
Keine Beschreibung für dieses Repository vorhanden.
ComfyUI's ControlNet Auxiliary Preprocessors
Keine Beschreibung für dieses Repository vorhanden.
A one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大语言模型提供更高质量、更丰富、更易”消化“的数据!
Keine Beschreibung für dieses Repository vorhanden.
Serve any model without boilerplate code
Module, Model, and Tensor Serialization/Deserialization
Contrib repository for the OpenTelemetry Collector
A set of tools that gives agents powerful capabilities.
Official Implementation of "Splat the Net: Radiance Fields with Splattable Neural Primitives"
A model-driven approach to building AI agents in just a few lines of code.
Rembg is a tool to remove images background
Webapp to live inside of the Munge auth domain, run as the SlurmUser, and launch GitHub Actions runners based on build requests
Fork of Qwen Image Bench for Stable Tribunal
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
Keine Beschreibung für dieses Repository vorhanden.
rCM & Causal-rCM: Leading and Unified Algorithms/Infrastructures for Bidirectional/Autoregressive Video Diffusion Distillation at Scale
Scripts for interacting with Stability AI's inference server containers.
Documentation for the Strands Agents SDK. A model-driven approach to building AI agents in just a few lines of code.
Project of llm evaluation to Japanese tasks
Robust recipes for to align language models with human and AI preferences
Slurm on Google Cloud Platform
Keine Beschreibung für dieses Repository vorhanden.
Checkpointable dataset utilities for foundation model training
Example of using Epochraft to train HuggingFace transformers models with PyTorch FSDP
maximal update parametrization (µP)
Custom features shared by Stability AI devcontainers
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
The most powerful and modular stable diffusion GUI with a graph/nodes interface.
Localhost proxy for IAM Credentials API project
ControlNet scheduling and masking nodes with sliding context support
Stability-AI entwickelt eine Vielzahl von Projekten auf GitHub, darunter generative Modelle und Tools für KI-Anwendungen. Zu den bekanntesten Repositories gehören StableLM und StableStudio, die sich auf Sprachmodelle und generative KI-Interfaces konzentrieren.
Stability-AI verwendet hauptsächlich Programmiersprachen wie Python, Jupyter Notebook, Shell, TypeScript und C#. Diese Sprachen ermöglichen die Entwicklung einer breiten Palette von Softwarelösungen für generative KI.
Ja, die Repositories von Stability-AI sind öffentlich zugänglich. Dies ermöglicht Entwicklern und Forschern, die Projekte zu erkunden und zur Weiterentwicklung der generativen KI-Technologien beizutragen.
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