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Creative AI Tools For Artists

Wondering how to make AI art? Scroll down for our list of tools to generate AI art.

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Our favorite picks to make 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. Will soon be renamed and relaunched as ArtBreeder with several AI models to manipulate photos.

  • Processing – A flexible software sketchbook and language for learning how to code within the context of the visual arts. Includes p5js (Processing for JavaScript) and Processing.py (Processing for Python). [Processing does not use AI, but is a great tool for visual art].

  • ml5.js – ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students through the web.

Images:

  • Deep Dream Generator – Stylize your images using enhanced versions of Google Deep Dream.

  • DeepArt.io – Upload a photo and apply different styles.

  • 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. (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.

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.

Datasets:

Words and writing:

  • GPT-2 – One of the leading language models by OpenAI.

 

Data visualization:

Music and 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.

Movement & Dance:

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.

Learning:

  • Teachable machine - Teach a machine using your camera, live in the browser without code.

Typography:

  • FontJoy  Generate font combinations with deep learning.

  • Font Map – Surface new relationships between fonts with machine learning.

GANs

Machine Learning Libraries:

  • TensorFlow.js – a library for developing and training ML models in JavaScript.

  • 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).

Closing Thoughts:

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 DeepDream Generator, 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!