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12 Best AI Image Generators You Should Use in 2024

13 mins
Fact Checked
by Maria Petrova
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We live in a golden age of image generation. Artificial intelligence is officially part of our daily lives: whether we realize it or not. There are several uses for this new technology — from image creation to entertainment to education and beyond. Here’s a guide to some of the top AI image generators on the market right now.

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Availability
Public access, pay-per-use model
Use cases
Smart contract auditing, crypto market analysis, chatbot assistance
Technology
Language model, blockchain integration
Bonus
Diamond Tier members to access premium tools for free up to this limit

What is an AI image generator? 

Artificial Intelligence, Microsoft AI, Australia

An AI image generator is a program that uses artificial intelligence to generate images. Although the text-to-image process has existed for years, software has only recently been able to generate images with different art styles and themes based on human input.

There are many different AI image generators, but they all have the same basic functionality. You can use a generator to take in text and generate an image based on it. Or you can use it to replace colors in an existing picture with new ones. This allows you to create images that look like paintings by famous artists. Or, you can use it for more practical applications, like creating pictures for a website.

Image generators are an excellent tool for anyone who wants to be more creative with their visuals and content. If you run a company, this can be a helpful way to generate images that fit your brand without hiring someone else.

How do AI art generators work?

AI art generators are based on artificial neural networks, which are complex mathematical systems that recognize patterns and make predictions. Basically, when you feed a neural network data about an object (like a cat), it learns how to identify other similar objects (like more cats). Because computers generate these digital images, they’re called “computer-generated” art. After you input text into the generator’s interface, it uses a machine-learning algorithm to create an image based on what you’ve written. The result looks like something out of an animated movie.

12 best AI productivity tools in 2024

Generator
NFTs and smart contract
Input
Text
Output
Realistic and graphic
Pricing model
Pay-per-use
Generator
Image, video, and text
Input
Text-to-image
Output
Realistic and stylistic
Pricing model
Subscription
Generator
Image
Input
Text-to-image
Output
Realistic
Pricing model
Subscription
Generator
Image
Input
Text-to-image
Output
Realistic and stylistic
Pricing model
Pay-per-use
Generator
Image
Image
Text-to-image
Output
Realistic and stylistic
Pricing model
Free
Generator
Image
Input
Text-to-image
Output
Realistic
Pricing model
Pay-per-use
Generator
Image
Input
Text-to-image
Output
Realistic and stylistic
Pricing model
Free
Generator
Image
Input
Image and text-to-image
Outptut
Realsitic
Pricing model
Subscription
Generator
Image
Input
Text-to-image
Output
Realistic and stylistic
Pricing model
Subscription
Generator
Image
Input
Text-to-image
Output
Realistic and stylistic
Pricing model
Subscription
Generator
Image
Input
Test-to-image
Output
Stylistic
Pricing model
Free
Generator
Image
Input
Text-to-image
Output
Realistic and stylistic
Pricing model
Subscription

How do AI image generators differ from traditional graphic design tools?

AI image generators signal a shift from traditional graphic design tools, offering new capabilities and efficiencies. Unlike conventional tools that require extensive manual input and artistic skill, AI image generators seamlessly create images based on algorithms and data. Here’s how they differ:

  • Automation and efficiency: AI image generators, such as an AI profile picture generator, automate the image creation process, reducing the time and effort required compared to traditional graphic design tools.
  • User input: Traditional tools rely heavily on manual input and artistic skills, whereas AI art generators like DALL-E 2 generate images based on textual descriptions or simple sketches.
  • Learning and adaptation: AI tools continuously improve through machine learning, adapting to new styles and user preferences, while traditional tools depend on the designer’s evolving skills.
  • Great for newbies: AI image generators make creating professional-quality images accessible to users without extensive design experience, whereas traditional tools typically require significant training.
  • Endless creativity: AI art generators can quickly produce a wide range of creative and unique outputs, which might take much longer with traditional methods.
  • Integration with data: AI tools can incorporate and analyze large datasets to generate contextually relevant images, a feature not typically found in traditional graphic design software.
  • Cost-effective: AI-generated images can lessen the need for multiple design iterations, saving resources and costs associated with traditional design processes.

What’s the future of digital art?

Ultimately, AI capabilities and machine learning are being developed rapidly and will continue to change how designers, advertisers, and consumers interact with images in the future. The best marketing campaigns of 2024 will undeniably utilize AI image generators to create visually captivating content. 

We’ll see the top AI art generators improve their stitching ability, increase the speed of their rendering engines, and ancillary AI products will expand their portfolio of design templates. When these things happen, it will be impossible to deny that AI has changed the face of digital art forever.

Frequently asked questions

What is the best free AI generator?

Are there any free AI art generators?

Are there any free AI art generators?

Is DALL-E 2 free?

Is Midjourney the best AI?

What AI generator are people using?

What are AI image generators?

What are the key technologies behind AI-powered image-creation tools?

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Chris Adede
Chris Adede is a versatile professional with five years of experience in content creation, IT, and project management. He has expertise in cryptocurrencies, fintech, and blockchain and has published author work with BeInCrypto, Hanshow, and NFT Monday. A project manager at Smart Prop Trader, Chris holds a number of professional qualifications and a BSC in Information Science from Moi University. Previously, Chris worked as a Digital Marketing Manager at Webnavs, where he honed his skills in...
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