Stability AI는 다양한 공개 GitHub 저장소를 운영하고 있으며, 주로 Python, Jupyter Notebook, TypeScript와 같은 프로그래밍 언어를 사용합니다. 이 조직은 generative-models, StableLM, StableStudio와 같은 여러 널리 사용되는 프로젝트를 통해 생성 AI 분야에 기여하고 있습니다.
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
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SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
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A family of state-of-the-art Transformer-based audio codecs for low-bitrate high-quality audio coding.
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Metrics for evaluating music and audio generative models – with a focus on long-form, full-band, and stereo generations.
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🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
A framework for few-shot evaluation of autoregressive language models.
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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
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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.
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Golang functions for interacting with Stability API
Official implementation of AnimateDiff.
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A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.
Karras et al. (2022) diffusion models for PyTorch
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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.
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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.
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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
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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
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An open source implementation of CLIP.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
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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.
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ComfyUI's ControlNet Auxiliary Preprocessors
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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!
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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)
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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
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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-AI는 생성 AI와 관련된 다양한 프로젝트를 개발하고 있습니다. 주요 저장소로는 generative-models와 StableLM이 있으며, 이러한 프로젝트는 AI 모델 개발에 중점을 두고 있습니다.
Stability-AI는 주로 Python, Jupyter Notebook, TypeScript, C#, CMake와 같은 프로그래밍 언어를 사용하여 다양한 프로젝트를 개발합니다. 이러한 언어는 AI 및 데이터 과학에 적합합니다.
네, Stability-AI의 모든 저장소는 공개적으로 접근 가능합니다. 이를 통해 개발자와 연구자들은 이들의 코드를 활용하고 기여할 수 있습니다.