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 Awesome Generative AI !Awesome (https://awesome.re/badge-flat.svg) (https://awesome.re)
 Awesome Generative AI !Awesome (https://awesome.re/badge-flat.svg) (https://awesome.re)
▐ A curated list of modern Generative Artificial Intelligence projects and services.
Generative Artificial Intelligence is a technology that creates original content such as images, sounds, and texts by using machine learning algorithms that are trained on large amounts of 
data. Unlike other forms of AI, it is capable of creating unique and previously unseen outputs such as photorealistic images, digital art, music, and writing. These outputs often have their 
own unique style and can even be hard to distinguish from human-created works. Generative AI has a wide range of applications in fields such as of art, entertainment, marketing, academia, and
computer science.
Generative Artificial Intelligence is a technology that creates original content such as images, sounds, and texts by using machine learning algorithms that are trained on large amounts of data. Unlike other forms of AI, it is capable 
of creating unique and previously unseen outputs such as photorealistic images, digital art, music, and writing. These outputs often have their own unique style and can even be hard to distinguish from human-created works. Generative AI
has a wide range of applications in fields such as of art, entertainment, marketing, academia, and computer science.
Contributions to this list are welcome. Before submitting your suggestions, please review the Contribution Guidelines (CONTRIBUTING.md) to ensure your entries meet the criteria. Add links 
through pull requests (https://github.com/steven2358/awesome-generative-ai/pulls) or create an issue (https://github.com/steven2358/awesome-generative-ai/issues) to start a discussion. More 
projects can be found in the Discoveries List (DISCOVERIES.md), where we showcase a wide range of up-and-coming Generative AI projects.
Contributions to this list are welcome. Before submitting your suggestions, please review the Contribution Guidelines (CONTRIBUTING.md) to ensure your entries meet the criteria. Add links through pull requests 
(https://github.com/steven2358/awesome-generative-ai/pulls) or create an issue (https://github.com/steven2358/awesome-generative-ai/issues) to start a discussion. More projects can be found in the Discoveries List (DISCOVERIES.md), 
where we showcase a wide range of up-and-coming Generative AI projects.
Contents
@@ -26,30 +25,29 @@
Recommended reading
- How Large Language Models Will Transform Science, Society, and AI (https://hai.stanford.edu/news/how-large-language-models-will-transform-science-society-and-ai) - Article summarizing the 
capabilities and limitations of the GPT-3 model, and its potential impact on society. By Alex Tamkin and Deep Ganguli, February 5, 2021.
- Generative AI: A Creative New World (https://www.sequoiacap.com/article/generative-ai-a-creative-new-world/) - A comprehensive examination of the generative AI industry, offering a 
historical perspective and in-depth analysis of the industry ecosystem. By Sonya Huang, Pat Grady and GPT-3, September 19, 2022.
- A Coming-Out Party for Generative A.I., Silicon Valley's New Craze (https://www.nytimes.com/2022/10/21/technology/generative-ai.html) - Article about the rise of generative AI, particularly
the success of the Stable Diffusion image generator, and the associated controversies. New York Times, October 21, 2022.
- AI's New Creative Streak Sparks a Silicon Valley Gold Rush (https://www.wired.com/story/ais-new-creative-streak-sparks-a-silicon-valley-gold-rush/) - Article about the growing hype and 
investment in generative AI startups, with various industries exploring its potential applications. Wired, October 27, 2022.
- ChatGPT Heralds an Intellectual Revolution (https://www.wsj.com/articles/artificial-intelligence-generative-ai-chatgpt-kissinger-84512912) - An op-ed by Henry Kissinger, Eric Schmidt and 
Daniel Huttenlocher. Wall Street Journal, February 24, 2023.
- How Large Language Models Will Transform Science, Society, and AI (https://hai.stanford.edu/news/how-large-language-models-will-transform-science-society-and-ai) - Article summarizing the capabilities and limitations of the GPT-3 
model, and its potential impact on society. By Alex Tamkin and Deep Ganguli, February 5, 2021.
- Generative AI: A Creative New World (https://www.sequoiacap.com/article/generative-ai-a-creative-new-world/) - A comprehensive examination of the generative AI industry, offering a historical perspective and in-depth analysis of the 
industry ecosystem. By Sonya Huang, Pat Grady and GPT-3, September 19, 2022.
- A Coming-Out Party for Generative A.I., Silicon Valley's New Craze (https://www.nytimes.com/2022/10/21/technology/generative-ai.html) - Article about the rise of generative AI, particularly the success of the Stable Diffusion image 
generator, and the associated controversies. New York Times, October 21, 2022.
- AI's New Creative Streak Sparks a Silicon Valley Gold Rush (https://www.wired.com/story/ais-new-creative-streak-sparks-a-silicon-valley-gold-rush/) - Article about the growing hype and investment in generative AI startups, with 
various industries exploring its potential applications. Wired, October 27, 2022.
- ChatGPT Heralds an Intellectual Revolution (https://www.wsj.com/articles/artificial-intelligence-generative-ai-chatgpt-kissinger-84512912) - An op-ed by Henry Kissinger, Eric Schmidt and Daniel Huttenlocher. Wall Street Journal, 
February 24, 2023.
Milestones
- OpenAI API (https://openai.com/blog/openai-api/) - Announcement of the OpenAI API for text-to-text general-purpose AI models based on GPT-3. OpenAI blog, June 11, 2020.
- GitHub Copilot (https://github.blog/2021-06-29-introducing-github-copilot-ai-pair-programmer/) - Announcement of Copilot, a new AI pair programmer that helps you write better code. GitHub 
blog, June 29, 2021.
- DALL·E 2 (https://openai.com/blog/dall-e-2/) - Announcement of the release of DALL·E 2, an advanced image generation system with improved resolution, expanded image creation capabilities, 
and various safety mitigations. OpenAI blog, April 6, 2022.
- Stable Diffusion Public Release (https://stability.ai/blog/stable-diffusion-public-release) - Announcement of the public release of Stable Diffusion, an AI-based image generation model 
trained on a broad internet scrape and licensed under a Creative ML OpenRAIL-M license. Stable Diffusion blog, 22 August, 2022.
- ChatGPT (https://openai.com/blog/chatgpt/) - Announcement of ChatGPT, a conversational model trained to answer follow-up questions, admit mistakes, challenge incorrect premises, and reject 
inappropriate requests. OpenAI blog, November 30, 2022.
- Bing Search (https://blogs.microsoft.com/blog/2023/02/07/reinventing-search-with-a-new-ai-powered-microsoft-bing-and-edge-your-copilot-for-the-web/) - Microsoft announces a new version of 
its search engine Bing, powered by a next-generation OpenAI model. Microsoft blog, February 7, 2023.
- GitHub Copilot (https://github.blog/2021-06-29-introducing-github-copilot-ai-pair-programmer/) - Announcement of Copilot, a new AI pair programmer that helps you write better code. GitHub blog, June 29, 2021.
- DALL·E 2 (https://openai.com/blog/dall-e-2/) - Announcement of the release of DALL·E 2, an advanced image generation system with improved resolution, expanded image creation capabilities, and various safety mitigations. OpenAI blog, 
April 6, 2022.
- Stable Diffusion Public Release (https://stability.ai/blog/stable-diffusion-public-release) - Announcement of the public release of Stable Diffusion, an AI-based image generation model trained on a broad internet scrape and licensed 
under a Creative ML OpenRAIL-M license. Stable Diffusion blog, 22 August, 2022.
- ChatGPT (https://openai.com/blog/chatgpt/) - Announcement of ChatGPT, a conversational model trained to answer follow-up questions, admit mistakes, challenge incorrect premises, and reject inappropriate requests. OpenAI blog, November
30, 2022.
- Bing Search (https://blogs.microsoft.com/blog/2023/02/07/reinventing-search-with-a-new-ai-powered-microsoft-bing-and-edge-your-copilot-for-the-web/) - Microsoft announces a new version of its search engine Bing, powered by a 
next-generation OpenAI model. Microsoft blog, February 7, 2023.
- GPT-4 (https://openai.com/research/gpt-4) - Announcement of GPT-4, a large multimodal model. OpenAI blog, March 14, 2023.
- Sora (https://openai.com/research/video-generation-models-as-world-simulators) - Presentation of Sora, a large video generation model. OpenAI, February 15, 2024.
@@ -57,13 +55,11 @@
Models
- OpenAI API (https://openai.com/api/) - OpenAI's API provides access to GPT-3 and GPT-4 models, which performs a wide variety of natural language tasks, and Codex, which translates natural 
language to code.
- OpenAI API (https://openai.com/api/) - OpenAI's API provides access to GPT-3 and GPT-4 models, which performs a wide variety of natural language tasks, and Codex, which translates natural language to code.
- Gopher (https://www.deepmind.com/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval) - Gopher by DeepMind is a 280 billion parameter language model.
- OPT (https://huggingface.co/facebook/opt-350m) - Open Pretrained Transformers (OPT) by Facebook is a suite of decoder-only pre-trained transformers. Announcement 
(https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b/). OPT-175B text generation (https://opt.alpa.ai/) hosted by Alpa.
- Bloom (https://huggingface.co/docs/transformers/model_doc/bloom) - BLOOM by Hugging Face is a model similar to GPT-3 that has been trained on 46 different languages and 13 programming 
languages. #opensource
- Bloom (https://huggingface.co/docs/transformers/model_doc/bloom) - BLOOM by Hugging Face is a model similar to GPT-3 that has been trained on 46 different languages and 13 programming languages. #opensource
- LLaMA (https://ai.facebook.com/blog/large-language-model-llama-meta-ai/) - A foundational, 65-billion-parameter large language model by Meta. #opensource
- Llama 2 (https://ai.meta.com/llama/) - The next generation of Meta's open source large language model. #opensource
- Claude (https://claude.ai/) - Talk to Claude, an AI assistant from Anthropic.
@@ -123,10 +119,8 @@
- WebChatGPT (https://chrome.google.com/webstore/detail/webchatgpt-chatgpt-with-i/lpfemeioodjbpieminkklglpmhlngfcn) - Augment your ChatGPT prompts with relevant results from the web.
- GPT for Sheets and Docs (https://workspace.google.com/marketplace/app/gpt_for_sheets_and_docs/677318054654) - ChatGPT extension for Google Sheets and Google Docs.
- YouTube Summary with ChatGPT (https://chrome.google.com/webstore/detail/youtube-summary-with-chat/nmmicjeknamkfloonkhhcjmomieiodli) - Use ChatGPT to summarize YouTube videos.
- ChatGPT Prompt Genius (https://chrome.google.com/webstore/detail/chatgpt-prompt-genius/jjdnakkfjnnbbckhifcfchagnpofjffo) - Discover, share, import, and use the best prompts for ChatGPT & 
save your chat history locally.
- ChatGPT for Search Engines (https://chrome.google.com/webstore/detail/chatgpt-for-search-engine/feeonheemodpkdckaljcjogdncpiiban) - Display ChatGPT response alongside Google, Bing, and 
DuckDuckGo search results.
- ChatGPT Prompt Genius (https://chrome.google.com/webstore/detail/chatgpt-prompt-genius/jjdnakkfjnnbbckhifcfchagnpofjffo) - Discover, share, import, and use the best prompts for ChatGPT & save your chat history locally.
- ChatGPT for Search Engines (https://chrome.google.com/webstore/detail/chatgpt-for-search-engine/feeonheemodpkdckaljcjogdncpiiban) - Display ChatGPT response alongside Google, Bing, and DuckDuckGo search results.
- ShareGPT (https://sharegpt.com/) - Share your ChatGPT conversations and explore conversations shared by others.
- Merlin (https://merlin.foyer.work/) - ChatGPT Plus extension on all websites.
- ChatGPT Writer (https://chatgptwriter.ai/) - Generate entire emails and messages using ChatGPT AI.
@@ -147,16 +141,16 @@
- Otter.ai (https://otter.ai/) - A meeting assistant that records audio, writes notes, automatically captures slides, and generates summaries.
- Cogram (https://www.cogram.com/) - Cogram takes automatic notes in virtual meetings and identifies action items.
- Sybill (https://www.sybill.ai/) - Sybill generates summaries of sales calls, including next steps, pain points and areas of interest, by combining transcript and emotion-based insights.
- Loopin AI (https://www.loopinhq.com/) - Loopin is a collaborative meeting workspace that not only enables you to record, transcribe & summaries meetings using AI, but also enables you to 
auto-organise meeting notes on top of your calendar.
- Loopin AI (https://www.loopinhq.com/) - Loopin is a collaborative meeting workspace that not only enables you to record, transcribe & summaries meetings using AI, but also enables you to auto-organise meeting notes on top of your 
calendar.
Academia
- Elicit (https://elicit.org/) - Elicit uses language models to help you automate research workflows, like parts of literature review.
- genei (https://www.genei.io/) - Summarise academic articles in seconds and save 80% on your research times.
- Explainpaper (https://www.explainpaper.com/) - A better way to read academic papers. Upload a paper, highlight confusing text, get an explanation.
- Galactica (https://galactica.org/) - A large language model for science. Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate 
molecules and proteins, and more. Model API (https://github.com/paperswithcode/galai).
- Galactica (https://galactica.org/) - A large language model for science. Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more. Model API 
(https://github.com/paperswithcode/galai).
- Consensus (https://consensus.app/search/) - Consensus is a search engine that uses AI to find answers in scientific research.
- Synthical (https://synthical.com) - AI-powered collaborative research environment.
@@ -181,8 +175,7 @@
- CodiumAI (https://www.codium.ai/) - With CodiumAI, you get non-trivial tests suggested right inside your IDE, so you stay confident when you push.
- PR-Agent (https://github.com/Codium-ai/pr-agent) - AI-powered tool for automated PR analysis, feedback, suggestions and more.
- MutableAI (https://mutable.ai/) - AI Accelerated Software Development.
- TurboPilot (https://github.com/ravenscroftj/turbopilot) - A self-hosted copilot clone which uses the library behind llama.cpp to run the 6 billion parameter Salesforce Codegen model in 4 GB
of RAM.
- TurboPilot (https://github.com/ravenscroftj/turbopilot) - A self-hosted copilot clone which uses the library behind llama.cpp to run the 6 billion parameter Salesforce Codegen model in 4 GB of RAM.
- GPT-Code UI (https://github.com/ricklamers/gpt-code-ui) - An open source implementation of OpenAI's ChatGPT Code interpreter.
- MetaGPT (https://github.com/geekan/MetaGPT) - The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
- Open Interpreter (https://github.com/KillianLucas/open-interpreter) - OpenAI's Code Interpreter in your terminal, running locally.
@@ -210,8 +203,7 @@
- GPT Engineer (https://github.com/AntonOsika/gpt-engineer) - Specify what you want it to build, the AI asks for clarification, and then builds it.
- GPT Prompt Engineer (https://github.com/mshumer/gpt-prompt-engineer) - Automated prompt engineering. It generates, tests, and ranks prompts to find the best ones.
- MetaGPT (https://github.com/geekan/MetaGPT) - The Multi-Agent Framework: Given one line requirement, return PRD, design, tasks, repo.
- AutoGen (https://github.com/microsoft/autogen) - AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve 
tasks.
- AutoGen (https://github.com/microsoft/autogen) - AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.
- GPT Pilot (https://github.com/Pythagora-io/gpt-pilot) - Dev tool that writes scalable apps from scratch while the developer oversees the implementation.
- Devin (https://devin.ai/) - An autonomous AI software engineer by Cognition Labs.
- OpenDevin (https://github.com/OpenDevin/OpenDevin) - An autonomous agent designed to navigate the complexities of software engineering. #opensource
@@ -228,12 +220,11 @@
Models
- DALL·E 2 (https://openai.com/dall-e-2/) - DALL·E 2 by OpenAI is a new AI system that can create realistic images and art from a description in natural language.
- Stable Diffusion (https://huggingface.co/CompVis/stable-diffusion-v1-4) - Stable Diffusion by Stability AI is a state of the art text-to-image model that generates images from text. 
#opensource
- Stable Diffusion (https://huggingface.co/CompVis/stable-diffusion-v1-4) - Stable Diffusion by Stability AI is a state of the art text-to-image model that generates images from text. #opensource
- Midjourney (https://www.midjourney.com/) - Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species.
- Imagen (https://imagen.research.google/) - Imagen by Google is a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding.
- Make-A-Scene (https://ai.facebook.com/blog/greater-creative-control-for-ai-image-generation/) - Make-A-Scene by Meta is a multimodal generative AI method puts creative control in the hands 
of people who use it by allowing them to describe and illustrate their vision through both text descriptions and freeform sketches.
- Make-A-Scene (https://ai.facebook.com/blog/greater-creative-control-for-ai-image-generation/) - Make-A-Scene by Meta is a multimodal generative AI method puts creative control in the hands of people who use it by allowing them to 
describe and illustrate their vision through both text descriptions and freeform sketches.
- DragGAN (https://github.com/XingangPan/DragGAN) - Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold.
Services
@@ -241,16 +232,15 @@
- Craiyon (https://www.craiyon.com/) - Craiyon, formerly DALL-E mini, is an AI model that can draw images from any text prompt.
- DreamStudio (https://beta.dreamstudio.ai/) - DreamStudio is an easy-to-use interface for creating images using the Stable Diffusion image generation model.
- Artbreeder (https://www.artbreeder.com/) - Artbreeder is new type of creative tool that empowers users creativity by making it easier to collaborate and explore.
- GauGAN2 (http://gaugan.org/gaugan2/) - GauGAN2 is a robust tool for creating photorealistic art using a combination of words and drawings since it integrates segmentation mapping, 
inpainting, and text-to-image production in a single model.
- GauGAN2 (http://gaugan.org/gaugan2/) - GauGAN2 is a robust tool for creating photorealistic art using a combination of words and drawings since it integrates segmentation mapping, inpainting, and text-to-image production in a single 
model.
- Magic Eraser (https://www.magiceraser.io/) - Remove unwanted things from images in seconds.
- Imagine by Magic Studio (https://magicstudio.com/imagine) - A tool by Magic Studio that let's you express yourself by just describing what's on your mind.
- Alpaca (https://www.getalpaca.io/) - Stable Diffusion Photoshop plugin.
- Patience.ai (https://www.patience.ai/) - Patience.ai is an app for creating images with Stable Diffusion, a cutting edge AI developed by Stability.AI.
- GenShare (https://www.genshare.io/) - Generate art in seconds for free. Own and share what you create. A multimedia generative studio, democratizing design and creativity.
- Playground (https://playground.com/) - Playground is a free-to-use online AI image creator. Use it to create art, social media posts, presentations, posters, videos, logos and more.
- Pixelz AI Art Generator (https://pixelz.ai/) - Pixelz AI Art Generator enables you to create incredible art from text. Stable Diffusion, CLIP Guided Diffusion & PXL·E realistic algorithms 
available.
- Pixelz AI Art Generator (https://pixelz.ai/) - Pixelz AI Art Generator enables you to create incredible art from text. Stable Diffusion, CLIP Guided Diffusion & PXL·E realistic algorithms available.
- modyfi (https://www.modyfi.io/) - The image editor you've always wanted. AI-powered creative tools in your browser. Real-time collaboration.
- Ponzu (https://www.ponzu.ai/) - Ponzu is your free AI logo generator. Build your brand with creatively designed logos in seconds, using only your imagination.
- PhotoRoom (https://www.photoroom.com/) - Create product and portrait pictures using only your phone. Remove background, change background and showcase products.
@@ -284,12 +274,10 @@
Stable Diffusion resources
- Stable Horde (https://stablehorde.net/) - A crowdsourced distributed cluster of Stable Diffusion workers.
- DiffusionDB (https://diffusiondb.com/) - A list of all public apps, developer tools, guides and plugins for Stable Diffusion. Airtable version 
(https://airtable.com/shr0HlBwbw3nZ8Ht3/tblxOCylXV8ynh7ti).
- DiffusionDB (https://diffusiondb.com/) - A list of all public apps, developer tools, guides and plugins for Stable Diffusion. Airtable version (https://airtable.com/shr0HlBwbw3nZ8Ht3/tblxOCylXV8ynh7ti).
- PublicPrompts (https://publicprompts.art/) - A collection of free prompts for Stable Diffusion.
- Stableboost (https://stableboost.ai/) - Stableboost is a Stable Diffusion WebUI that lets you quickly generate a lot of images so you can find the perfect ones.
- Hugging Face Diffusion Models Course (https://github.com/huggingface/diffusion-models-class) - Python materials for the online course on diffusion models by @huggingface 
(https://github.com/huggingface).
- Hugging Face Diffusion Models Course (https://github.com/huggingface/diffusion-models-class) - Python materials for the online course on diffusion models by @huggingface (https://github.com/huggingface).
Video
@@ -354,23 +342,19 @@
- Learn Prompting (https://learnprompting.org/) - A free, open source course on communicating with artificial intelligence.
- Prompt Engineering Guide (https://github.com/dair-ai/Prompt-Engineering-Guide) - Guide and resources for prompt engineering.
- ChatGPT prompt engineering for developers (https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/) - A short course by Isa Fulford (OpenAI) and Andrew Ng 
(DeepLearning.AI).
- ChatGPT prompt engineering for developers (https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/) - A short course by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI).
- OpenAI Cookbook (https://github.com/openai/openai-cookbook) - Examples and guides for using the OpenAI API.
- OpenAI Prompt Engineering Guide (https://platform.openai.com/docs/guides/prompt-engineering) - Strategies and tactics for getting better results from large language models.
- PromptPerfect - Tool for prompt engineering.
More lists
- Tools and Resources for AI Art (https://pharmapsychotic.com/tools.html) - A large list of Google Colab notebooks for generative AI, by @pharmapsychotic 
(https://twitter.com/pharmapsychotic).
- The Generative AI Application Landscape (https://twitter.com/sonyatweetybird/status/1584580362339962880) - An infographic that maps the generative AI ecosystem, by Sonya Huang 
(https://twitter.com/sonyatweetybird) of Sequioa Capital.
- Tools and Resources for AI Art (https://pharmapsychotic.com/tools.html) - A large list of Google Colab notebooks for generative AI, by @pharmapsychotic (https://twitter.com/pharmapsychotic).
- The Generative AI Application Landscape (https://twitter.com/sonyatweetybird/status/1584580362339962880) - An infographic that maps the generative AI ecosystem, by Sonya Huang (https://twitter.com/sonyatweetybird) of Sequioa Capital.
- Startups - @builtwithgenai (https://airtable.com/shr6nfE9FOHp17IjG/tblL3ekHZfkm3p6YT) - An Airtable list by @builtwithgenai (https://twitter.com/builtwithgenai).
- The Generative AI Index (https://airtable.com/shrH4REIgddv8SzUo/tbl5dsXdD1P859QLO) - An Airtable list by Scale Venture Partners (https://www.scalevp.com/generative-ai).
- Generative AI for Games (https://twitter.com/gwertz/status/1593268767269670912) - A market map of companies working on Generative AI for games, by a16z (https://a16z.com/).
- Generative Deep Art (https://github.com/filipecalegario/awesome-generative-deep-art) - A curated list of generative deep learning tools, works, models, etc. for artistic uses, by 
@filipecalegario (https://github.com/filipecalegario/).
- Generative Deep Art (https://github.com/filipecalegario/awesome-generative-deep-art) - A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario (https://github.com/filipecalegario/).
- GPT-3 Demo (https://gpt3demo.com/) - Showcase with GPT-3 examples, demos, apps, showcase, and NLP use-cases.
- GPT-4 Demo (https://gpt4demo.com/) - GPT-4 apps and use-cases.
- The Generative AI Landscape (https://github.com/ai-collection/ai-collection) - A Collection of Awesome Generative AI Applications.