AI image generator tools are software programs that use artificial intelligence (AI) algorithms to generate new images or modify existing ones. These tools use machine learning techniques to analyze large datasets of images and learn how to create or manipulate images based on certain parameters or inputs.
Last updated: 6 November 2026
Quick answer: DALL-E is the most direct pick if you want to type a description and get an image back. Runway ML suits creators who also want video and editing tools, Artbreeder suits blending and evolving portraits or landscapes, and Deep Dream Generator suits abstract, dreamlike art. Start with the one that matches the output you need.
There are several types of AI image generator tools available, each with its unique features and capabilities. Some tools can create photorealistic images from scratch, while others can modify existing images to create new variations or styles. Some tools can even create entire scenes or landscapes based on user input.
One popular type of AI image generator tool is the generative adversarial network (GAN), which involves two neural networks working together to create new images. One network generates images, while the other network evaluates them for authenticity. The two networks work together to improve the quality and realism of the generated images over time.
AI image generator tools, including style transfer tools, can apply the style of one image to another, and deep dreaming tools, which can create surreal and abstract images based on random inputs or existing images. These tools allow you to create your own AI image, making them a powerful resource for artists, designers, and other creatives who are looking for new ways to create and manipulate images. They can save time and effort in the creative process and inspire new directions and ideas for visual art and design.
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By the numbers
AI image generation went from novelty to mass use within a few years:
- Everypixel estimated that more than 15 billion images had been made with text-to-image tools between 2022 and August 2023, about 34 million a day since DALL-E 2 launched (Everypixel Journal, August 2023; the publisher calls these extrapolations).
- 34% of U.S. adults had used ChatGPT by early 2025, double the 2023 share, per Pew Research Center (June 2025), a sign of how quickly mainstream users adopt generative AI.
Top AI Image Generator Tools
There are many AI image generator tools available, each with its unique features and capabilities. Here are some of the best AI image generator tools:
1. Deep Dream Generator
Deep Dream Generator is an AI image generator tool that uses a deep neural network to create dreamlike images from your photos. It is based on the DeepDream algorithm, created by Google engineer Alexander Mordvintsev and released in 2015. The Deep Dream Generator works by taking your image and running it through a neural network, which enhances certain features and patterns in the image. The result is a dreamlike image with surreal and abstract features.
The tool offers a wide range of customization options, including the ability to choose the level of abstraction, the amount of detail, and the colors used in the final image. You can also choose from various styles, such as psychedelic, surreal, and abstract. Deep Dream Generator is a popular tool among artists, photographers, and designers who want to create unique and creative images. It can also be used for scientific research, such as image analysis and pattern recognition.
2. Artbreeder
ArtBreeder is an AI image generator tool that allows users to create and combine images in various styles. It uses a technique called Generative Adversarial Networks (GANs) to generate images by training two neural networks against each other. ArtBreeder offers a wide range of customization options, including the ability to morph, blend, and refine images. It allows users to upload their images or use images from its library as a starting point. Once you have uploaded an image, you can use various sliders to modify its features, such as brightness, contrast, and saturation.
One of the unique features of ArtBreeder is the ability to breed images. Breeding involves combining two or more images to create a new image that inherits some of the features of its parents. This allows users to create images that are a blend of different styles, such as combining a portrait with a landscape. ArtBreeder also offers a community feature, where users can share their creations and collaborate on projects. Users can give feedback on each other’s work and remix other users’ images to create something new.
ArtBreeder has many potential applications, such as creating artwork for video games, movies, and animations, as well as generating visual content for social media and advertising. It is a powerful and versatile tool for anyone looking to create unique and creative images.
3. NVIDIA GauGAN
NVIDIA GauGAN is an AI-powered tool developed by NVIDIA that allows users to create photorealistic images using simple sketches. The tool is named after the French post-impressionist painter Paul Gauguin, who is known for his use of vivid colors and bold lines in his paintings. GauGAN uses a deep learning algorithm to generate images from simple sketches. It allows users to draw outlines of objects and then apply different styles and textures to those objects. For example, you could draw a simple sketch of a tree, and then use GauGAN to add leaves, branches, and other details.
GauGAN offers a wide range of customization options, including the ability to choose from various styles, such as water, sky, and grass. It also allows users to adjust the lighting and perspective of their images. One of the unique features of GauGAN is the ability to generate photorealistic images. The tool uses a deep learning algorithm that has been trained on a large dataset of images to generate images that are indistinguishable from real photos.
GauGAN has many potential applications, such as creating concept art for movies and video games, designing virtual environments, and generating visual content for social media and advertising. It is a powerful and easy-to-use tool that allows users to create stunning and realistic images with minimal effort.t.
4. Runway ML
Runway ML is an AI development platform that allows users to create and experiment with machine learning models in a user-friendly interface. It provides a simple drag-and-drop interface that makes it easy for users to build and train machine learning models, even if they have no prior experience in programming. One of the main features of Runway ML is the ability to generate images and videos using AI-powered tools. It offers a range of pre-trained models that can be used to generate images and videos in various styles, such as changing the background of an image, adding or removing objects from an image, and applying artistic filters to images.
Runway ML also allows users to train their models using their data or pre-existing datasets. It supports a wide range of machine learning models, including deep learning models such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Another unique feature of Runway ML is the ability to collaborate and share projects with others. It allows users to share their models with other users, allowing for collaboration and feedback on their work.
Runway ML has many potential applications, such as creating custom image and video content for social media, generating animations and visual effects for movies and games, and building intelligent chatbots and virtual assistants. It is a powerful and accessible tool for anyone looking to experiment with machine learning and create innovative AI-powered applications.
5. DeepArt.io
DeepArt.io is an AI-powered tool that allows users to transform their photos into works of art inspired by famous artists and art styles. The tool uses a deep neural network to analyze the input image and apply the characteristics of a chosen artwork or style to create a new image. DeepArt.io offers a wide range of customization options, allowing users to choose from various styles, including the works of famous artists such as Van Gogh, Picasso, and Monet. Users can also upload their images and choose their art styles to apply.
The tool works by breaking down the input image into smaller parts and then applying the characteristics of the chosen art style to those parts. The output image is a blend of the original image and the chosen art style, resulting in a unique and artistic image. DeepArt.io has many potential applications, such as creating unique artwork for personal or commercial use, designing book covers or album artwork, or generating visual content for social media and advertising. It is a fun and easy-to-use tool that allows users to experiment with different art styles and create something new and creative.
6. DALL-E
DALL-E is an AI language model developed by OpenAI that can create images from textual descriptions. It is named after the artist Salvador Dali and the character EVE from the movie Wall-E. DALL-E is a variant of the GPT-3 language model, but instead of generating text, it generates images. It uses a transformer architecture that has been trained on a large dataset of text and images. This allows it to understand the relationship between textual descriptions and visual elements.
To generate an image, you provide DALL-E with a textual description of the image you want to create. For example, you could provide the text “a red convertible parked on a street at night” and DALL-E would generate an image of a red convertible parked on a street at night.
DALL-E is capable of creating a wide range of images, including objects, animals, and scenes. It can also combine multiple elements in a single image, such as a croissant with a face or a snail made of harps. DALL-E has many potential applications, such as generating images for advertising, creating illustrations for books, and assisting in scientific research. It is also a fascinating example of how AI models can be used to bridge the gap between natural language and visual elements.
Conclusion On AI Image Generator Tools
AI image generator tools have revolutionized the way images and visual content are created. These tools use advanced machine learning algorithms to generate images that are realistic and visually stunning. They allow users to create unique and creative images with minimal effort, even if they have no prior experience in image editing or programming.
Some of the popular AI image generator tools include Deep Dream Generator, DALL-E, ArtBreeder, NVIDIA GauGAN, and Runway ML. Each of these tools has its unique features and capabilities, allowing users to create a wide range of images in various styles and genres.
AI image generator tools have many potential applications, such as creating custom artwork for movies, video games, and animations, generating visual content for social media and advertising, and designing virtual environments. They have also opened up new avenues for artists and designers to experiment with new styles and techniques and explore new creative possibilities. AI image generator tools are powerful and versatile tools for anyone looking to create unique and visually stunning images. They offer endless possibilities for creative expression and have the potential to transform the way we create and consume visual content.
FAQs
What is the best AI image generator?
For turning a text description into an image, DALL-E is the most direct choice on this list. Runway ML is stronger if you also edit images or make video, Artbreeder is best for blending and evolving images, and Deep Dream Generator is best for surreal, abstract art. The best tool depends on whether you need realism or style.
Are AI image generators free?
Many offer a free tier or trial credits with limits on resolution, speed or commercial use, while full features are paid. Pricing changes often, so check each tool’s own pricing page before you rely on it for client or commercial work.
Can I use AI-generated images commercially?
It depends on the tool’s terms and the plan you are on. Some platforms grant commercial rights to paid users, others restrict it, and copyright protection for AI output varies by country. Read the licence of the specific tool before publishing images in a product, ad or client project.
What is the difference between DALL-E and Deep Dream Generator?
DALL-E creates new images from a written prompt using a transformer model. Deep Dream Generator transforms an existing photo using a neural network to exaggerate patterns, giving a dreamlike look. One generates from text, the other restyles what you upload.
Sources
- Everypixel Journal: AI image statistics
- Pew Research Center: 34% of U.S. adults have used ChatGPT
- Wikipedia: DeepDream
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