
As an artist, have you ever wished you had a tool that could help you create new and innovative art pieces? Well, your wish has come true! With the help of artificial intelligence (AI), there are now a number of AI art generators that can help you create unique and one-of-a-kind artworks.
In this article, we will take a look at some of the best AI art generators that are currently available. We will also provide a brief overview of each service so you can decide which one is right for you and your needs.
OpenAI’s Dall-E
Dall-E is an AI image generator that helps create images from textual descriptions entered by the user, making it a dream come true for many photographers out there. Not only this, but Dall-E has also been trained on a much more realistic and varied dataset as compared to its competitors. This allows it to generate more natural and realistic images.
If you’re looking for some inspiration to help get your creative juices flowing without a fuss, this is definitely the right place to start. The learning curve is minimal, so you’ll be able to jump in and get started with ease.

“Vibrant portrait painting of Salvador Dalí with a robotic half face.” Credit: OpenAI
If you’re an artist or photographer, don’t be afraid to use the terminology of your trade. This AI model can understand even abstract concepts that are conveyed through images. So feel free to offer up styles, artist influences, art from a period, etc. By doing so, you’ll be providing valuable input that the AI can use to improve its understanding of visual content.
While its realistic imagery is a big bonus for photographers, others benefit in more impactful ways. It’s powerful, but very suit & tie in a lot of ways.
Midjourney
Midjourney is a great place to explore your creativity. With its wide range of images, it’s perfect for coming up with strange and unique concepts. Its photorealism is competitive, and you can learn a lot about art by exploring all the different options it has to offer.

For the technically inclined, there are all sorts of features and settings to explore in order to get more out of Midjourney. However, what we like most about it is the community feel. Image generation takes place in a public space by default, so there’s always a creative buzz if you like joining in. There are privacy options available as well should you need them.
Everything runs through Discord, which can be off-putting for some people but with the ability to extend their generation services to your own Discord server; there’s potential for much more collective creativity here than meets the eye.
Stable Diffusion / Dream Cafe
Stable Diffusion has, by far, the steepest learning curve. However, it paves the way forward for us as the technology continues to develop at a rapid pace. Dream Cafe does an excellent job of getting people started in much the same way Dall-E is able to deliver results. Therefore, don’t let our earlier comments scare you too much. If you have the technical expertise, this is by far the most rewarding place, for the long term, to start your journey.

With a local setup and a powerful video card, you can generate as much as you want without restrictions. Midjourney and Dall-E are both leaders in this technology field; however, it won’t be long before models trained on datasets that are orders of magnitude greater are available to everyday people without these skill sets.
Conclusion
There are a lot of different AI art generators out there, and each one has its own unique capabilities. As an artist or photographer, you can use these tools to create new and exciting pieces of art. If you’re not sure where to start, TypeStitch.com offers some great help with assembling effective text-to-image prompts. With their visual style templates, you can learn more about prompt engineering while also coming up with something eye-catching for your next project.
It’s worth noting that engineering a good prompt takes practice, as well as an artistic eye. It’s not all face-rolling on the keyboard and masterpieces popping out the other end. Perhaps in another few years, the prompts will become an obsolete way of communicating with these models, and thought projection in an augmented reality space will take over?