A curated list of Generative Deep Art projects, tools, artworks, and models
- http://runwayml.com/
- https://hotpot.ai/
- Get started with making AI art in 2022 – deeplearn.art
- (3) promptism: Promptism is an art movement whose creators apply machine learning models trained with contrastive language-image pre-training (CLIP) techniques for image generation
- The Promptist Manifesto – deeplearn.art
- Post Reddit - MachineLearning: List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
- Text-to-Image Summary – Part 1 | Softology's Blog
- disco-diffusion/Local_Disco_Diffusion_v4_1.ipynb at main · Midgraph/disco-diffusion
- Audio to keyframe string: this tool is used to generate strings for the keyframes of AI animation notebooks, such as this VQGAN+CLIP Animations notebook, using the volume of audio tracks.
- pixray/pixray: Pixray is an image generation system
- pixray/pixray_notebooks: pixray demo notebooks
- https://pixray.gob.io/text2image/
- sberbank-ai/ru-dalle: Generate images from texts. In Russian.
- [🔥🔥] Hitchhiker's Guide To The Latent Space: Community Notebook Document: great collection of interesting notebooks
- [🔥🔥] Pollinations.AI: a frontend hosting a set of curated notebooks that allow creating and experimenting with generative art. Their objective is to facilitate the creation and translation of multiple forms of human expressions.
- [🔥 ] hive/notebooks at main · pollinations/hive: collection of notebooks used by Pollinations.AI
- ouhenio/StyleGAN3-CLIP-notebooks: A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.
- k-l-lambda/stylegan-web: A web porting for NVlabs' StyleGAN.
- [🔥🚀 ] S2ML Image Generator: evolution of the first VQGAN+CLIP Google Colab notebook by Katherine Crownson maintained by Justin Bennington
- [🔥 ] Create Variations on Images With Looking Glass 1.1 (ru-DALLE) - YouTube | Artificial Images
- [🔥🚀 ] Looking Glass 1.1 (ru-DALLE): Making ruDALL-E fine tuning quick and painless. Copyright (C) 2021 Bearsharktopus Studios
- [🔍 ] NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion (ML Research Paper Explained) - YouTube | Yannic Kilcher
- [🔥 ] yuval-alaluf/hyperstyle: Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" https://arxiv.org/abs/2111.15666
- [🔥 ] Vadim Epstein’s Aphantasia library: CLIP + FFT/DWT/RGB = text to image/video
- mikaelalafriz/lucid-sonic-dreams: syncs GAN-generated visuals to music
- aakashjhawar/AvatarGAN: Generate Cartoon Images using Generative Adversarial Network
- Greg Surma - Portfolio
- crowsonkb (Katherine Crowson): who wrote the tutorial of VQGAN+CLIP
- [🔥 ] dvschultz/stylegan3: Forked by Schultz from Stylegan3
- Alias-Free Generative Adversarial Networks (StyleGAN3): NVidia official StyleGAN3 release page
- [🔥 ] dvschultz/ml-art-colabs: A list of Machine Learning Art Colabs
- [🚀 ] StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators
- Let's Talk Energy Usage of Generative Machine Learning
- StyleGAN: Use machine learning to generate and customize realistic images | by Jamshed Khan | Heartbeat
- Audio-reactive Latent Interpolations with StyleGAN
- DALL·E: Creating Images from Text
- Alien Dreams: An Emerging Art Scene - ML@B Blog
- DeepStory: A tale of co-creation between man & machine
- SofGAN: A GAN Face Generator That Offers Greater Control - Unite.AI
- Appreciating the Poetic Misunderstandings of A.I. Art | The New Yorker
- DALL-E mini: DALL·E mini is an AI model that generates images from any prompt you give!
- DALL-E mini GitHub
- DALL-E mini Project Report
- CLIPIT PixelDraw - Colaboratory
- CLIP Guided Diffusion HQ 512x512.ipynb - Colaboratory
- Smooth Transitioning Between Position / Rotation / Zoom and Text Inputs by Keyframing Parameters: A Proof of Concept [15,000 Frames] : deepdream
- justinpinkney/awesome-pretrained-stylegan2: A collection of pre-trained StyleGAN 2 models to download
- Image Super-Resolution
- neural-dream Alternatives and Similar Photos & Graphics Apps | AlternativeTo
- Real GANs in AI | Hacker Noon: deep dive into what the generative models are, the recent developments in the field, and the usage of GANs in business
- CoG 21: Adversarial Reinforcement Learning for Procedural Content Generation
- GANshare | Towards Data Science: Creating and Curating Art with AI
- GitHub Repositories of Hugging Face
- AgaMiko/pixel_character_generator: Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
- (3) "GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models", Nichol et al 2021 (OpenAI's DALL-E successor: 5b-parameter diffusion models + noise-aware CLIP) : MediaSynthesis
- (3) OpenAI paper: "GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models". Code and a smaller filtered model (300 million parameters vs 3.5 billion parameters in the paper) are available. : bigsleep
- VQGAN+CLIP — How does it work?. The synthetic imagery (“GAN Art”) scene… | by Alexa Steinbrück | Aug, 2021 | Medium
- Introduction to VQGAN+CLIP - 🟧Sourceful
- How to use VQGAN+CLIP to generate images from a text prompt —tutorial for beginners | NightCafe Creator
- VQGAN + CLIP Keyword Modifier Comparison - NightCafe Creator
- ~200 CLIP+VQGAN keywords tested on 4 subjects : bigsleep
- AI Generated Art Scene Explodes as Hackers Create Groundbreaking New Tools CLIP+VQ-GAN | VICE
- VQGAN+CLIP (with pooling): Generate images from text prompts with VQGAN and CLIP (z+quantize method)
- ~200 CLIP+VQGAN keywords on 4 subjects, by @kingdomakrillic - Imgur
- Experimentando o VQGAN+CLIP: gerador de imagens a partir de textos - YouTube Filipe Calegario
- Creep - YouTube by Glenn Marshall Neural Art: how did they translated the images using VQGAN+CLIP? How did they seamlessly wander on the latent space?
- https://cocreator.ai/
- Pyttipanna: visual interface for Pytti by @_staus. Pytti is created by @sportsracer48
- Rytr: Rytr is an AI writing assistant that helps creating content
- Charisma: Charisma is a platform for creating interactive stories with believable virtual characters
- Authors A.I.: AI-powered text analysis
- DeepMind says its new language model can beat others 25 times its size | MIT Technology Review
- Integrated AI: How to talk to AI for free using nine platforms (Megatron, GPT-3, GPT-J, Wudao, J1..) - YouTube by Dr Alan D. Thompson. The following references came from this video description
- InferKit
- CopyHat
- Emerson on iOS
- Jurassic-1
- EleutherAI | GPT-J-6B
- AIx
- Wudao
- Emerson on Telegram
- GPT-3 playground
- Fine-tuning GPT-3: how to customize a model for OpenAI's GPT-3
- Toonify yourself | Justin Pinkney
- https://deepart.io/
- 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
- LOVO AI: AI Voiceover & Text to Speech Platform with human-like voices
- AIVA: The AI composing emotional soundtrack music
- Casual GAN Papers: Easy to read summaries of popular AI papers
- The Illustrated VQGAN: illustrated explanation on how VQGAN works
- CLIP: Connecting Text and Images: OpenAI's explanation on how CLIP works
- VQGAN+CLIP — How does it work?. The synthetic imagery (“GAN Art”) scene… | by Alexa Steinbrück | Medium
- The Methods Corpus | Papers With Code
- https://ieeexplore.ieee.org/abstract/document/9043519: A State-of-the-Art Review on Image Synthesis With Generative Adversarial Networks
- Utilizando redes adversárias generativas (GANs) como agente de apoio à inspiração para artistas: Trabalho de Graduação de Cláudio Carvalho no Centro de Informática - UFPE
- GAN Lab: Play with Generative Adversarial Networks in Your Browser!
- [PDF] Music2Video: Automatic Generation of Music Video with fusion of audio and text | Semantic Scholar
- [PDF] Active Divergence with Generative Deep Learning - A Survey and Taxonomy | Semantic Scholar
- [PDF] Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities | Semantic Scholar
- Artificial Images: Demos and explanations to make art using machine learning
- Glenn Marshall Neural Art
- How to Generate Art - Intro to Deep Learning #8
- https://github.com/dvschultz: GitHub de Derrick Schultz com vários notebooks que podem ser rodados no Google Colab
- dvschultz/ml-art-colabs
- Confluence: a generative art project by Devi Parikh on BrainDrops.
- Learning to See – Memo Akten | Mehmet Selim Akten | The Mega Super Awesome Visuals Company
- Neural Zoo | Sofia Crespo
- KRЯRL DЯAWINGS: Runway ML -- 3rd "Model" (based on long poses)
- Frea Buckler ~ Artist: obras usadas para criar essa rede (19) derrick has started yet another project on Twitter: "Just sent @buntworthy a demo StyleGAN model I trained / Twitter
- (Non-)Human
- Authentic Digital Art - Unknown Departure | SuperRare
- A Selection of Machine Learning Art Inspiration
- Top 25 AI Artists of 2021 (Photos, Profiles & History of AI Art)- AIArtists.org: AIArtists.org showcases leading artists using Artificial Intelligence, tools to make AI Art, and a timeline of AI Art History.
- Helena Sarin – Artist Profile (Photos, Videos, Exhibitions) — AIArtists.org
- Images Generated By AI Machines (@images_ai) / Twitter
- https://www.instagram.com/refikanadol/
- This vessel does not exist.: A gallery of both authentic and fake vessels generated by machine learning software (StyleGAN)
- https://thispersondoesnotexist.com/ - gerador de rostos humanos
- https://thisxdoesnotexist.com/ - site com vários exemplos de outros modelos
- justinpinkney/awesome-pretrained-stylegan2: A collection of pre-trained StyleGAN2 models trained on different datasets at different resolution
- A collection of pre-trained StyleGAN 2 models to download - Deep Learning | ReposHub
- Modelo pretreinado com obras de arte moderna
- Yuheng-Li/MixNMatch
- lucidrains/lightweight-gan: 512x512 flowers after 12 hours of training, 1 gpu 256x256 flowers after 12 hours of training, 1 gpu Implementation of 'lightweight' GAN proposed in ICLR 2021
- VQGAN+CLIP: This is a brief tutorial on how to operate VQGAN+CLIP by Katherine Crowson
- rinongal/StyleGAN-nada: Zero-Shot non-adversarial domain adaptation of pre-trained generators
- margaretmz/awesome-ai-art-design: An awesome list: AI for art and design.
- toxtli/awesome-machine-learning-jupyter-notebooks-for-colab: A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
- Video clip: music + lyrics => image + video
- Book: text => illustration
- Interfaces for editing parameters that can be exported as string. This string is the input for a notebook or model. "Copy string", "Paste string", "Export file", "Import file".
- 7 ways to load external data into Google Colab | by B. Chen | Towards Data Science
- 10 tricks for a better Google Colab experience | by Cyprien NIELLY | Towards Data Science
- Quickly share ML WebApps from Google Colab using ngrok for Free | by AbdulMajedRaja RS | Towards Data Science
- Jupyter Widgets for Interactivity in Google Colab: notebook with examples of using Jupyter Widgets in Colab, allowing interactive inputs
- Jupyter Widgets official documentation
- The Art of PNG Glitch
- HashLips/hashlips_art_engine: tool used to create multiple different instances of artworks based on provided layers
Contributions welcome! Read the contribution guidelines first.
To the extent possible under law, Filipe Calegario has waived all copyright and related or neighboring rights to this work.