awesome-generative-ai

awesome-generative-ai

A curated list of Generative AI tools, works, models, and references

Stars: 2464

Visit
screenshot

A curated list of Generative AI projects, tools, artworks, and models

README:

Awesome Generative AI AwesomeTrack Awesome List

A curated list of Generative AI projects, tools, artworks, and models

Repository Introduction

Welcome to our Awesome List of Generative AI resources! This repository is a curated collection of references in the dynamic field of Generative AI, equipped with various sources such as academic papers, technical articles, online courses, tutorials, and software.

Structure

  1. Sections: Each section represents a different Generative AI-related category (e.g., LLMs, prompt engineering, image synthesis, educational resources, etc.). The Inboxes are the more general references of a category. When a new category emerges, it becomes a specific subsection.

  2. References within sections: Inside each section, references are listed in reverse chronological order, with the most recent one at the top. This order signifies the ever-evolving landscape of Generative AI, keeping you up-to-date with the latest developments.

This repository is designed to offer you the most recent advancements at your fingertips, allowing you to explore the depth of older resources at your own pace. It's regularly updated, ensuring you're always on track with the rapidly progressing world of Generative AI.

Contribute to our Repository

Your contributions are welcome and greatly appreciated! If you have a valuable resource that you believe should be on this list, or if you see any outdated information, please make a Pull Request. This will help us maintain the quality and relevance of our Awesome List.

Follow this roadmap, keep learning, and enjoy your journey through Generative AI!

Generative AI Area

Generative AI history, timelines, maps, and definitions

Ethics, Philosophical questions and Discussions about Generative AI

Critical Views about Generative AI

Generative AI Processes and Artifacts

More info

Generative AI is a branch of artificial intelligence that focuses on creating new data based on patterns learned from existing data. Here's a step-by-step explanation of the process:

  1. Starting with Data: Every Generative AI process begins with data. This can be in various forms such as text, images, sounds, or other datasets. This data serves as the foundational material that the AI uses to recognize and understand patterns.

  2. Training the AI: With the data in hand, the next step is 'training'. During this phase, the AI processes the data multiple times to learn and internalize the patterns present. The outcome of this stage is a 'model', which acts like a digital representation of the knowledge derived from the data.

  3. Fine-Tuning: At times, there's a need for the AI to focus on specific nuances or characteristics. In such cases, an additional set of data is used to 'fine-tune' the already trained model, enhancing its capabilities in the desired direction.

  4. Using the Model: After training, the model is prepared to make inferences, which means using its acquired knowledge to process new data and come up with relevant outputs. This inference process can be executed locally on a machine or can be accessed remotely through an 'API'. The choice between local execution and API access often depends on factors like computational resources, application needs, and user preferences. Whether locally or via an API, the goal is to leverage the model's capabilities to derive meaningful results from new data inputs.

  5. Generating New Data: With the model set up, the AI can now produce or 'generate' new data. By giving the AI certain 'input parameters' or guidelines, it returns with 'generated output', which is the newly created content.

  6. Applications: The output generated by the AI can be incorporated into a range of applications, be it websites, mobile apps, or other digital platforms. The 'interface' refers to the user-facing portion of these applications, enabling users to interact with and benefit from the AI's capabilities.

In essence, Generative AI is about feeding an AI system vast amounts of data, training it to grasp underlying patterns, and then utilizing that trained knowledge to produce novel data. The potential applications and benefits of this technology are vast and continue to grow as the field evolves.

Generative AI Tools Directories

Courses and Educational Materials

Human-AI Interaction

Papers Collection

Online Tools and Applications

  • Lunroo: 45+ Free AI Tools for Social Media Marketing. Save your time on routine tasks using AI.
  • COUNT: AI-powered accounting for small businesses
  • Competitor Research: AI tool to help companies track their competitors
  • StartKit.AI: Boilerplate for quickly building AI products
  • No-Code Scraper: Data Scraping without Code - Seamlessly extract data from any website with just a few simple inputs.
  • BacklinkGPT: AI-powered link-building platform that helps you generate personalized outreach messages for faster link building.
  • VocalReplica: AI-Powered Vocal and Instrumental Isolation for Your Favorite Tracks
  • LangMagic: Learn languages from native content.
  • Persuva: Persuva is the AI-driven platform to create persuasive, high-converting ad copy at scale.
  • Dittto.ai: Fix your hero copy with an AI trained on top SaaS websites.
  • SEOByAI: Rank Faster on Google with FREE AI SEO Tools
  • SinglebaseCloud: AI-powered backend platform with Vector DB, DocumentDB, Auth, and more to speed up app development.
  • TrollyAI: Create professional SEO articles, 2x faster
  • WebscrapeAI: Scrape any website without code using AI
  • Architecture Helper: Analyze any building architecture, and generate your own custom styles, in seconds.
  • AI-Flow: Connect multiple AI models easily
  • Code to Flow: Visualize, Analyze, and Understand Your Code flow. Turn Code into Interactive Flowcharts with AI. Simplify Complex Logic Instantly.
  • Recast Studio: AI-powered podcast marketing assistant.
  • Clipwing: A tool for cutting long videos into dozens of short clips.
  • Tailor: Get a daily podcast and newsletter, created for you by an AI
  • ZZZ Code AI: AI-powered free website to get any programming question answered or code generated.
  • Scribble Diffusion: turn your sketch into a refined image using AI
  • Paint by Text: Edit your photos using written instructions, with the help of an AI.
  • Scenario AI: AI-generated game assets
  • AnimalAI: custom AI-generated animal portraits (profits are directed to various wildlife conservation organizations)
  • starryai: AI Art Generator App - AI Art Maker
  • ProsePainter: an interactive tool to "paint with words." It incorporates guidable text-to-image generation into a traditional digital painting interface
  • ProsePainter: Image + Sketching Interface + CLIP! - YouTube
  • Cocreator AI: creative computer agent (in wait list)
  • Runway ML: AI video creation suite
  • Hotpot.ai - Hotpot.ai: set of AI Tools to post-process images
  • Toonify yourself by Justin Pinkney: turn a human face into a cartoon
  • deepart.io: a online tool for applying style transfer
  • Artbreeder: web-based tool to generate images by breeding existing images
  • Ostagram.ru: image style transfer plataform
  • cleanup.pictures: remove objects, people, text and defects from any picture for free
  • remove.bg: remove background from images
  • Quick, Draw!: can a neural network learn to recognize doodling? A game to help NL by adding users drawing
  • Nekton.ai: automate your workflows with AI
  • Documind.chat: Chat with PDF using AI. Documind is a powerful chat with pdf tool that lets you ask questions from your pdf documents.
  • Snowpixel: Generate Images/Videos/Animations/Audio/Music/3D Objects with Text and/or Image. Upload your own data to create custom models.
  • Chatpdf.so: Talk to PDF using GPT4 AI. Chatpdf.so is a chatpdf tool that lets you do question answering on your pdf documents.
  • Yona.ai: Create deeply personalized AI chatbots from your own conversations, your stories, your data. You can harness the power of your chat history to build an AI companion for a nostalgic trip down memory lane, whimsical fantasies, or any other unique purpose.
  • Voicesphere: Chat with your documents to get intelligent, context specific answers.
  • Tune AI: AI chat app powered by open source models
  • GPT Mobile GPT Mobile is an Android app that can chat with multiple LLMs at once! Currently supports ChatGPT, Anthropic Claude, and Google Gemini.

Text

Small Language Models

Large Language Models (LLMs)

Programming Frameworks for LLMs

Prompt Engineering

Prompt Optimizers

  • zou-group/textgrad: Automatic "Differentiation" via Text, using large language models to backpropagate textual gradients.
  • [🔥🔥🔥] stanfordnlp/dspy: DSPy: The framework for programming — not prompting — foundation models
  • vaibkumr/prompt-optimizer: Minimize LLM token complexity to save API costs and model computations.
  • PromptPerfect: "Optimize Your Prompts to Perfection"
  • [🔥🔥🔥] LLMLingua: Designing a Language for LLMs via Prompt Compression

Prompt Engineering for Text-to-text

Prompt Engineering for Text-to-image

Mamba

Running LLMs Locally

  • PowerInfer: a high-speed inference engine for deploying LLMs locally
  • [🔥🔥] Ollama: run Llama 2, Code Llama, and other models locally
  • GPT4All: A free-to-use, locally running, privacy-aware chatbot. No GPU or internet required.
  • LM Studio: Discover, download, and run local LLMs
  • ggerganov/llama.cpp: Port of Facebook's LLaMA model in C/C++

Function Calling

GPTs and Assistant API

Retrieval-Augmented Generation (RAG)

Embeddings and Semantic Search

Autonomous LLM Agents

Multi-agents

LLM Evaluation

LLMOps

  • Eden AI: provides a unique API connected to the AI engines
  • Dify: LLMOps platform for creating and operating AI-native apps based on GPT-4
  • LLM App: LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.

AI Engineering

Attacks on LLMs

LangChain

ChatGPT

Text-related Generative Tools

Research AI Tools

AI Tools for Research

AI Tools for Searching

  • whitead/paper-qa: "LLM Chain for answering questions from documents with citations"
  • Metaphor: search engine that "understands language — in the form of prompts — so you can say what you're looking for in all the expressive and creative ways"
  • MemFree - Open Source Hybrid AI Search Engine, Instantly Get Accurate Answers from the Internet, Bookmarks, Notes, and Docs. Support One-Click Deployment.

Image

Image Synthesis

Inbox: Stable Diffusion

Stable Diffusion Deployed Web Tools

Web UI for Stable Diffusion via Google Colab

References Collection about Stable Diffusion

Hypertechniques

ControlNet

Textual Inversion

DreamBooth

Deforum

Creative Uses of Generative AI Image Synthesis Tools

Image Upscaling

Image Restoration

  • sczhou/codeformer: face restoration algorithm for old photos and AI-generated faces
  • TencentARC/GFPGAN: GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration

Image Segmentation

Video and Animation

Audio and Music

Speech

Text-to-speech (TTS) and avatars

Podcast generators

  • Google NotebookLM: generate podcast episodes based on your uploaded references
  • Illuminate: transform your content into engaging AI‑generated audio discussions also by Google

Speech-to-text (STT) and spoken content analysis

Games

Code and Programming

Multimodal

Multimodal Embedding Space

Datasets

  • Ego-Exo4D: a foundational dataset by Meta for research on video learning and multimodal perception Dataset Download
  • Carolina: General Corpus of Contemporary Brazilian Portuguese with provenance and typology information - Corpus Geral do Português Brasileiro Contemporâneo
  • RedPajama-Data-v2 by Together AI: an open dataset with 30 trillion tokens for training Large Language Models
  • Have I Been Trained?: tool for searching 5.8 billion images used to train popular AI art models
  • laion-aesthetic-6pls: exploring 12 million of the 2.3 billion images used to train Stable Diffusion's image generator
  • CLIP retrieval for laion5B: CLIP retrieval using Laion5B. "It works by converting the text query to a CLIP embedding , then using that embedding to query a knn index of clip image embedddings".
  • rom1504/clip-retrieval: Easily compute CLIP embeddings and build a CLIP retrieval system with them
  • LAION: Large-scale Artificial Intelligence Open Network
  • gabolsgabs/DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes

Misc

AI and Education

People and works

Interesting Twitter Accounts

Interesting Instagram Accounts, Posts and Reels

Interesting Youtube Channels

Interesting GitHub Repositories

Artists and Artworks

Galleries

Related Awesome Lists

Bio experiments

  • fMRI-to-image: tweet by danberridge "The 'presented images' were shown to a group of humans. The 'reconstructed images' were the result of an fMRI output to Stable Diffusion. In other words, Stable Diffusion literally read people's minds."

Jobs in Generative AI

Improving Google Colab experience

Auxiliary tools and concepts

  • Rosie: AI Phone Answering Service
  • MuckBrass: Find & Validate Startup Ideas using AI
  • ResumeDive: A resume boosting service using AI
  • Owlbot: AI Support Agent
  • fynk: AI powered contract management software
  • Taskbase: Virtual assistants packaged with AI powered software.
  • AI Wedding Toast: Generate a personalized wedding speech with AI
  • Interviews Chat: Your Personal Interview Prep & Copilot
  • Inline Help: Answer customer questions before they ask
  • LinkActions: AI Internal Links Assistant
  • Marblism: Generate a SaaS boilerplate from a prompt
  • SiteSpeakAI: Automate your customer support with AI
  • Room Reinvented: Transform your room effortlessly with Room Reinvented! Upload a photo and let AI create over 30 stunning interior styles. Elevate your space today.
  • FairyTailAI: Personalized bedtime story generator
  • PromptPal: Search for prompts and bots, then use them with your favourite AI. All in one place.
  • Never Jobless LinkedIn Message Generator: Maximize Your Interview Chances with AI-Powered LinkedIn Messaging.
  • Aispect: New way to experience events.
  • SiteGPT: Make AI your expert customer support agent.
  • PressPulse AI: Get personalized media coverage leads every morning.
  • GPTHelp.ai: ChatGPT for your website / AI customer support chatbot.
  • chaiNNer-org/chaiNNer: A node-based image processing and AI upscaling GUI that makes it easy to chain together complex processing tasks
  • BIRME: Bulk Image Resizing Made Easy 2.0 (Online & Free)
  • The Art of PNG Glitch
  • HashLips/hashlips_art_engine: tool used to create multiple different instances of artworks based on provided layers
  • Taplio: The all-in-one, AI-powered LinkedIn tool.
  • Galichat.com: AI Support Assistant that helps you grow your business.
  • Aidbase - AI-Powered Support for your SaaS startup.
  • Socialsonic - AI LinkedIn Coach: Personalized content, trends & scheduling.

Dimension reduction techniques

Roadmaps, Tracks, Rails

Stargazers over time

Stargazers over time

Contribute

Contributions welcome! Read the contribution guidelines first.

License

CC0

To the extent possible under law, Filipe Calegario has waived all copyright and related or neighboring rights to this work.

"Buy Me A Coffee"

For Tasks:

Click tags to check more tools for each tasks
generate text generate images generate audio generate video translate languages

For Jobs:

ai engineer generative ai developer prompt engineer ai artist ai researcher

Alternative AI tools for awesome-generative-ai

Similar Open Source Tools

awesome-generative-ai Screenshot
awesome-generative-ai

A curated list of Generative AI projects, tools, artworks, and models

github
: 2.5k
Awesome-LLM4EDA Screenshot
Awesome-LLM4EDA

LLM4EDA is a repository dedicated to showcasing the emerging progress in utilizing Large Language Models for Electronic Design Automation. The repository includes resources, papers, and tools that leverage LLMs to solve problems in EDA. It covers a wide range of applications such as knowledge acquisition, code generation, code analysis, verification, and large circuit models. The goal is to provide a comprehensive understanding of how LLMs can revolutionize the EDA industry by offering innovative solutions and new interaction paradigms.

github
: 63
edgeai Screenshot
edgeai

Embedded inference of Deep Learning models is quite challenging due to high compute requirements. TI’s Edge AI software product helps optimize and accelerate inference on TI’s embedded devices. It supports heterogeneous execution of DNNs across cortex-A based MPUs, TI’s latest generation C7x DSP, and DNN accelerator (MMA). The solution simplifies the product life cycle of DNN development and deployment by providing a rich set of tools and optimized libraries.

github
: 127
Awesome-Papers-Autonomous-Agent Screenshot
Awesome-Papers-Autonomous-Agent

Awesome-Papers-Autonomous-Agent is a curated collection of recent papers focusing on autonomous agents, specifically interested in RL-based agents and LLM-based agents. The repository aims to provide a comprehensive resource for researchers and practitioners interested in intelligent agents that can achieve goals, acquire knowledge, and continually improve. The collection includes papers on various topics such as instruction following, building agents based on world models, using language as knowledge, leveraging LLMs as a tool, generalization across tasks, continual learning, combining RL and LLM, transformer-based policies, trajectory to language, trajectory prediction, multimodal agents, training LLMs for generalization and adaptation, task-specific designing, multi-agent systems, experimental analysis, benchmarking, applications, algorithm design, and combining with RL.

github
: 521
awesome-flux-ai Screenshot
awesome-flux-ai

Awesome Flux AI is a curated list of resources, tools, libraries, and applications related to Flux AI technology. It serves as a comprehensive collection for developers, researchers, and enthusiasts interested in Flux AI. The platform offers open-source text-to-image AI models developed by Black Forest Labs, aiming to advance generative deep learning models for media, creativity, efficiency, and diversity.

github
: 67
PurpleWave Screenshot
PurpleWave

PurpleWave is a tournament-winning AI player for StarCraft: Brood War written in Scala. It has won multiple competitions and is capable of playing all three races with a variety of professional-style strategies. PurpleWave has ranked #1 on various ladders and credits several individuals and communities for its development and success. The tool can be built using specific steps outlined in the readme and run either from IntelliJ IDEA or as a JAR file in the StarCraft directory. PurpleWave is published under the MIT License, encouraging users to use it as a starting point for their own creations.

github
: 98
redis-ai-resources Screenshot
redis-ai-resources

A curated repository of code recipes, demos, and resources for basic and advanced Redis use cases in the AI ecosystem. It includes demos for ArxivChatGuru, Redis VSS, Vertex AI & Redis, Agentic RAG, ArXiv Search, and Product Search. Recipes cover topics like Getting started with RAG, Semantic Cache, Advanced RAG, and Recommendation systems. The repository also provides integrations/tools like RedisVL, AWS Bedrock, LangChain Python, LangChain JS, LlamaIndex, Semantic Kernel, RelevanceAI, and DocArray. Additional content includes blog posts, talks, reviews, and documentation related to Vector Similarity Search, AI-Powered Document Search, Vector Databases, Real-Time Product Recommendations, and more. Benchmarks compare Redis against other Vector Databases and ANN benchmarks. Documentation includes QuickStart guides, official literature for Vector Similarity Search, Redis-py client library docs, Redis Stack documentation, and Redis client list.

github
: 123
ludwig Screenshot
ludwig

Ludwig is a declarative deep learning framework designed for scale and efficiency. It is a low-code framework that allows users to build custom AI models like LLMs and other deep neural networks with ease. Ludwig offers features such as optimized scale and efficiency, expert level control, modularity, and extensibility. It is engineered for production with prebuilt Docker containers, support for running with Ray on Kubernetes, and the ability to export models to Torchscript and Triton. Ludwig is hosted by the Linux Foundation AI & Data.

github
: 11.0k
Reflection_Tuning Screenshot
Reflection_Tuning

Reflection-Tuning is a project focused on improving the quality of instruction-tuning data through a reflection-based method. It introduces Selective Reflection-Tuning, where the student model can decide whether to accept the improvements made by the teacher model. The project aims to generate high-quality instruction-response pairs by defining specific criteria for the oracle model to follow and respond to. It also evaluates the efficacy and relevance of instruction-response pairs using the r-IFD metric. The project provides code for reflection and selection processes, along with data and model weights for both V1 and V2 methods.

github
: 124
LMOps Screenshot
LMOps

LMOps is a research initiative focusing on fundamental research and technology for building AI products with foundation models, particularly enabling AI capabilities with Large Language Models (LLMs) and Generative AI models. The project explores various aspects such as prompt optimization, longer context handling, LLM alignment, acceleration of LLMs, LLM customization, and understanding in-context learning. It also includes tools like Promptist for automatic prompt optimization, Structured Prompting for efficient long-sequence prompts consumption, and X-Prompt for extensible prompts beyond natural language. Additionally, LLMA accelerators are developed to speed up LLM inference by referencing and copying text spans from documents. The project aims to advance technologies that facilitate prompting language models and enhance the performance of LLMs in various scenarios.

github
: 3.6k
stockbot-on-groq Screenshot
stockbot-on-groq

StockBot Powered by Groq is an AI-powered chatbot that provides lightning-fast responses with live interactive stock charts, financial data, news, screeners, and more. Leveraging Groq's speed and Vercel's AI SDK, StockBot offers real-time conversation with natural language processing, interactive TradingView charts, adaptive interfaces, and multi-asset market coverage. It is designed for entertainment and instructional use, not for investment advice.

github
: 527
Autonomous-Agents Screenshot
Autonomous-Agents

github
: 447
FinRobot Screenshot
FinRobot

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

github
: 1.0k
VideoLingo Screenshot
VideoLingo

VideoLingo is an all-in-one video translation and localization dubbing tool designed to generate Netflix-level high-quality subtitles. It aims to eliminate stiff machine translation, multiple lines of subtitles, and can even add high-quality dubbing, allowing knowledge from around the world to be shared across language barriers. Through an intuitive Streamlit web interface, the entire process from video link to embedded high-quality bilingual subtitles and even dubbing can be completed with just two clicks, easily creating Netflix-quality localized videos. Key features and functions include using yt-dlp to download videos from Youtube links, using WhisperX for word-level timeline subtitle recognition, using NLP and GPT for subtitle segmentation based on sentence meaning, summarizing intelligent term knowledge base with GPT for context-aware translation, three-step direct translation, reflection, and free translation to eliminate strange machine translation, checking single-line subtitle length and translation quality according to Netflix standards, using GPT-SoVITS for high-quality aligned dubbing, and integrating package for one-click startup and one-click output in streamlit.

github
: 4.0k
awesome-ai-coding Screenshot
awesome-ai-coding

Awesome-AI-Coding is a curated list of AI coding topics, projects, datasets, LLM models, embedding models, papers, blogs, products, startups, and peer awesome lists related to artificial intelligence in coding. It includes tools for code completion, code generation, code documentation, and code search, as well as AI models and techniques for improving developer productivity. The repository also features information on various AI-powered developer tools, copilots, and related resources in the AI coding domain.

github
: 637
Open-Medical-Reasoning-Tasks Screenshot
Open-Medical-Reasoning-Tasks

Open Life Science AI: Medical Reasoning Tasks is a collaborative hub for developing cutting-edge reasoning tasks for Large Language Models (LLMs) in the medical, healthcare, and clinical domains. The repository aims to advance AI capabilities in healthcare by fostering accurate diagnoses, personalized treatments, and improved patient outcomes. It offers a diverse range of medical reasoning challenges such as Diagnostic Reasoning, Treatment Planning, Medical Image Analysis, Clinical Data Interpretation, Patient History Analysis, Ethical Decision Making, Medical Literature Comprehension, and Drug Interaction Assessment. Contributors can join the community of healthcare professionals, AI researchers, and enthusiasts to contribute to the repository by creating new tasks or improvements following the provided guidelines. The repository also provides resources including a task list, evaluation metrics, medical AI papers, and healthcare datasets for training and evaluation.

github
: 80

For similar tasks

RAVE Screenshot
RAVE

RAVE is a variational autoencoder for fast and high-quality neural audio synthesis. It can be used to generate new audio samples from a given dataset, or to modify the style of existing audio samples. RAVE is easy to use and can be trained on a variety of audio datasets. It is also computationally efficient, making it suitable for real-time applications.

github
: 1.2k
awesome-generative-ai Screenshot
awesome-generative-ai

A curated list of Generative AI projects, tools, artworks, and models

github
: 2.5k
WavCraft Screenshot
WavCraft

WavCraft is an LLM-driven agent for audio content creation and editing. It applies LLM to connect various audio expert models and DSP function together. With WavCraft, users can edit the content of given audio clip(s) conditioned on text input, create an audio clip given text input, get more inspiration from WavCraft by prompting a script setting and let the model do the scriptwriting and create the sound, and check if your audio file is synthesized by WavCraft.

github
: 347
ragdoll-studio Screenshot
ragdoll-studio

Ragdoll Studio is a platform offering web apps and libraries for interacting with Ragdoll, enabling users to go beyond fine-tuning and create flawless creative deliverables, rich multimedia, and engaging experiences. It provides various modes such as Story Mode for creating and chatting with characters, Vector Mode for producing vector art, Raster Mode for producing raster art, Video Mode for producing videos, Audio Mode for producing audio, and 3D Mode for producing 3D objects. Users can export their content in various formats and share their creations on the community site. The platform consists of a Ragdoll API and a front-end React application for seamless usage.

github
: 156
ChatTTS-Forge Screenshot
ChatTTS-Forge

ChatTTS-Forge is a powerful text-to-speech generation tool that supports generating rich audio long texts using a SSML-like syntax and provides comprehensive API services, suitable for various scenarios. It offers features such as batch generation, support for generating super long texts, style prompt injection, full API services, user-friendly debugging GUI, OpenAI-style API, Google-style API, support for SSML-like syntax, speaker management, style management, independent refine API, text normalization optimized for ChatTTS, and automatic detection and processing of markdown format text. The tool can be experienced and deployed online through HuggingFace Spaces, launched with one click on Colab, deployed using containers, or locally deployed after cloning the project, preparing models, and installing necessary dependencies.

github
: 692
simple-openai Screenshot
simple-openai

Simple-OpenAI is a Java library that provides a simple way to interact with the OpenAI API. It offers consistent interfaces for various OpenAI services like Audio, Chat Completion, Image Generation, and more. The library uses CleverClient for HTTP communication, Jackson for JSON parsing, and Lombok to reduce boilerplate code. It supports asynchronous requests and provides methods for synchronous calls as well. Users can easily create objects to communicate with the OpenAI API and perform tasks like text-to-speech, transcription, image generation, and chat completions.

github
: 65
AI Screenshot
AI

AI is an open-source Swift framework for interfacing with generative AI. It provides functionalities for text completions, image-to-text vision, function calling, DALLE-3 image generation, audio transcription and generation, and text embeddings. The framework supports multiple AI models from providers like OpenAI, Anthropic, Mistral, Groq, and ElevenLabs. Users can easily integrate AI capabilities into their Swift projects using AI framework.

github
: 64
RAG-Survey Screenshot
RAG-Survey

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

github
: 1.0k

For similar jobs

ap-plugin Screenshot
ap-plugin

AP-PLUGIN is an AI drawing plugin for the Yunzai series robot framework, allowing you to have a convenient AI drawing experience in the input box. It uses the open source Stable Diffusion web UI as the backend, deploys it for free, and generates a variety of images with richer functions.

github
: 103
99AI Screenshot
99AI

99AI is a commercializable AI web application based on NineAI 2.4.2 (no authorization, no backdoors, no piracy, integrated front-end and back-end integration packages, supports Docker rapid deployment). The uncompiled source code is temporarily closed. Compared with the stable version, the development version is faster.

github
: 464
midjourney-proxy Screenshot
midjourney-proxy

Midjourney-proxy is a proxy for the Discord channel of MidJourney, enabling API-based calls for AI drawing. It supports Imagine instructions, adding image base64 as a placeholder, Blend and Describe commands, real-time progress tracking, Chinese prompt translation, prompt sensitive word pre-detection, user-token connection to WSS, multi-account configuration, and more. For more advanced features, consider using midjourney-proxy-plus, which includes Shorten, focus shifting, image zooming, local redrawing, nearly all associated button actions, Remix mode, seed value retrieval, account pool persistence, dynamic maintenance, /info and /settings retrieval, account settings configuration, Niji bot robot, InsightFace face replacement robot, and an embedded management dashboard.

github
: 4.7k
comflowyspace Screenshot
comflowyspace

Comflowyspace is an open-source AI image and video generation tool that aims to provide a more user-friendly and accessible experience than existing tools like SDWebUI and ComfyUI. It simplifies the installation, usage, and workflow management of AI image and video generation, making it easier for users to create and explore AI-generated content. Comflowyspace offers features such as one-click installation, workflow management, multi-tab functionality, workflow templates, and an improved user interface. It also provides tutorials and documentation to lower the learning curve for users. The tool is designed to make AI image and video generation more accessible and enjoyable for a wider range of users.

github
: 1.8k
comflowy Screenshot
comflowy

Comflowy is a community dedicated to providing comprehensive tutorials, fostering discussions, and building a database of workflows and models for ComfyUI and Stable Diffusion. Our mission is to lower the entry barrier for ComfyUI users, promote its mainstream adoption, and contribute to the growth of the AI generative graphics community.

github
: 827
stability-sdk Screenshot
stability-sdk

The stability-sdk is a Python package that provides a client implementation for interacting with the Stability API. This API allows users to generate images, upscale images, and animate images using a variety of different models and settings. The stability-sdk makes it easy to use the Stability API from Python code, and it provides a number of helpful features such as command line usage, support for multiple models, and the ability to filter artifacts by type.

github
: 2.4k
awesome-generative-ai Screenshot
awesome-generative-ai

A curated list of Generative AI projects, tools, artworks, and models

github
: 2.5k
comfyui_fk_server Screenshot
comfyui_fk_server

This is an ideal Comfyui translation plugin that allows any long text input box in Comfyui to support Chinese input and automatic translation (using Baidu translation). It also includes error correction translation feature and keyword polishing feature for generating professional AI drawing prompts (using Zhipu AI big model). Additionally, it provides a one-click fix feature for correcting model references in workflows, greatly improving workflow model call correction efficiency (based on model name matching). The plugin requires Baidu translation API key for translation functionality and Zhipu AI API key for keyword polishing functionality. After installation, users can enable automatic translation mode and keyword polishing feature by double-clicking any long text input box in Comfyui.

github
: 83