Creative Tools to Generate AI Art
Wondering how to make AI art? Scroll down for our list of tools to generate AI art.
Our Top Picks to Generate AI Art:
Runway ML – Easy, code-free tool to use machine learning models in creative ways.
Magenta – An open source research project exploring the role of machine learning as a tool in the creative process.
GANBreeder – Breed two images to create novel new ones using GANBreeder. (Note that GANbreeder soon be renamed and relaunched as ArtBreeder, with several AI models to manipulate photos).
ml5.js – ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students through the web.
AI Generated Images:
Deep Dream Generator – Stylize your images using enhanced versions of Google Deep Dream with the Deep Dream Generator.
DeepArt.io – Upload a photo and apply different styles with this AI image generator.
Visionist: Apply AI Art styles to your photos, including abstract filters, cutout portraits, and more (iOS. Made by 3DTOPO Inc.).
GoArt – AI photo effects that make your photos look like famous paintings with this AI image generator. (Web, Android and iOS. Made by Fotor).
Deep Angel – automatically remove objects or people from images. (Web. Made at MIT).
Google Deep Dream – GitHub repository for implementing Deep Dream.
GANBreeder – Merge images together to create new ones. (GANbreeder will be relaunched as ArtBreeder soon).
AI Generated Drawing:
AutoDraw – Turn your sketch into clip art.
AI Painter – Turn your photos into neural network-styled physical paintings.
Quick, Draw! – A game where a neural net tries to guess what you’re drawing. Draw together with a neural network with this Google draw app.
Sketch-RNN Demos – Draw together with a neural network.
Cartoonify – Turn your photo into a cartoon drawing.
Words and writing:
Semantris – Word association games powered by semantic search.
Handwriting with a neural net – Play with a neural net that generates handwriting based on your style.
GPT-2 – One of the leading language models by OpenAI.
AI Generated Music/Sound:
Magenta Studio – A collection of music plugins built on Magenta’s open source tools and models.
AI Duet – Play with a piano that responds to you.
NSynth Sound Maker – Create your own hybrid sounds and instruments.
MuseNet – Generate 4-minute musical compositions with 10 instruments, and can combine styles from country to Mozart.
Pitch Detection – Use a pre-trained pitch detection model to estimate the pitch of sound file through a computer mic.
AI Generated Movement/Dance:
AI Sketches With Bill T. Jones – PoseNet experiments made with one of America’s most celebrated artists.
AI Generated Voice:
Scribbling Speech – Turn real time = speech into animated drawings.
Thing Translator – Take a picture of something to hear how to say it in a different language.
AI Generated Data Visualization:
Activation Atlases – create an explorable atlas of features a network has learned.
Visualizing high dimensional space – visualize how machine learning works.
t-SNE – Create compelling two-dimensonal “maps” from data with hundreds or even thousands of dimensions.
Teachable machine - Teach a machine using your camera, live in the browser without code.
FontJoy – Generate font combinations with deep learning.
Font Map – Surface new relationships between fonts with machine learning.
GAN Zoo – List of named GANs, updated semi-regularly.
GANS Awesome Applications – Curated list of GANs and demos.
Machine Learning Libraries:
scikit-learn – One of the most popular tools for data mining and analysis. Built on NumPy, SciPy, and matplotlib Open source, commercially usable (BSD license).
If you're interested in using AI in your creative practice, the tools above are a great place to start. Even if you have no machine learning experience, you can start simple by using AI photo editing tools, an AI art generator like Deep Dream Generator, an AI image generator like GANBreeder, or draw with a neural network with Quick, Draw.. As tools to make AI art become more mainstream, AI artworks will increasingly embed themselves in our culture. By learning Ai tools now, and creating works while this field is in its infancy, you can help push the boundaries of creativity forward by exploring the cutting edge of machine learning art. How will neural networks an AI experiments transform our creative potential? Show us by leading the way!
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