41 Creative AI Tools to Generate Stunning AI Art

Generating stunning AI-generated images and pictures has never been easier. Tools like **Runway ML** stand out as an overall staff pick, offering a code-free environment to experiment with machine learning models for creative purposes. For those who enjoy stylizing their photos with unique artistic flair, **Deep Dream Generator** enhances Google's Deep Dream technology, allowing users to get their 'Deep Art' on. **DeepArt.io** and **Visionist** enable users to upload photos and apply various art styles, transforming them into AI portraits or abstract pieces. **GoArt** by Fotor offers AI photo effects that mimic famous portrait paintings, available across web, Android, and iOS. For a more specialized task, **Deep Angel** from MIT can automatically remove objects or people from images. **Google Deep Dream** itself has a GitHub repository for those who wish to implement it directly. **Artbreeder** (formerly GANBreeder) is a powerful tool for merging images, creating hybrid AI portraits, and generating novel forms never seen before. While not strictly AI, **Fractal Art Generators** are also mentioned due to their computational art nature, appealing to a similar audience.

The creative potential of AI extends to the realm of music and sound. **Magenta Studio** offers a suite of music plugins built on Magenta's open-source machine learning tools. **AI Duet** provides an interactive piano experience that responds to your playing. For sound experimentation, **NSynth Sound Maker** allows you to create unique hybrid sounds and instruments. **MuseNet** by OpenAI can generate impressive 4-minute musical compositions across 10 instruments, blending styles from country to classical, and is also available on GitHub. For those interested in audio analysis, **Pitch Detection** uses a pre-trained model to estimate the pitch of sound files via a computer microphone.

Generative Adversarial Networks (GANs) are a cornerstone of much AI art generation. **GAN Zoo** provides a regularly updated list of named GANs, while **GANS Awesome Applications** curates a collection of GANs and their demonstrations. For those seeking to delve deeper into the technical aspects, the book "Teaching Machine to Paint, Write & Play" is recommended as a definitive guide to using GANs for artistic output. Access to data is crucial for training AI models, and resources like **Google Dataset Search** and **Kaggle Open Datasets** are invaluable for finding relevant datasets.

For those with programming inclinations, several powerful machine learning libraries are available. **TensorFlow.js** is a versatile library for developing and training ML models directly in JavaScript, making it accessible for web-based creative projects. **scikit-learn** is a widely adopted tool for data mining and analysis, built upon NumPy, SciPy, and matplotlib, offering a robust open-source solution for machine learning tasks.

For anyone interested in incorporating AI into their creative practice, the tools and software listed provide an excellent starting point. Even without prior machine learning experience, users can begin with simpler tools and gradually expand their knowledge and capabilities. Whether it's using AI photo editing tools like Deep Art, AI art generators like Deep Dream Generator or Artbreeder, AI painting generators like AI Painter, AI cartoon makers like Cartoonify, or drawing with neural networks via Quick Draw, the possibilities are vast. Embrace the journey of machine learning art and showcase how your neural network and AI experiments can unlock new dimensions of creative potential.