Dall E: A Dazzling Addition in the World of AI Image Generators

In today’s article, we are going to explore Dall E, an artificial intelligence AI model created by Open AI, which generates images from textual descriptions. The fun fact here is that Dall E is actually named after the artist Salvador Dali and the Pixar character Wally. So Dall E is basically another AI image generator.

AI Image Generators

So what are image generators? Like Dall E, an image generator is a text-to-image tool designed to make it easier for digital marketers and content creators to create images online using a machine learning algorithm. They can generate realistic photos and illustrations based on a set of text instructions. An AI text-to-image generator often uses the machine’s learning technique called The Artificial Neural Network, which can receive input as words and then process it to generate an image.

The entire process takes only a few seconds so that you can see the results of your work almost immediately. However, before they are reliably deployed, neural networks require a lot of training. Therefore, essentially, the AI model will first look at pictures, for example, of different objects, and we’ll be assigned a word to those objects.

They will essentially learn what that object is, based on that word. So, it is the same process AI generators go through during training, but it is at a much faster speed and with a lot more data. Moreover, a few different types of text AI models have evolved over the years.

AI Models

The first model is Generative Adversarial Networks (GANs). Earlier iterations of AI-generated images relied on GANs. In this model, two neural networks are pitted against each other. One network, the generator, is responsible for creating the image. In contrast, the second network, the discriminator, is used to determine whether or not the images are real or fake. However, they are now going towards diffusion models, which is what some of the more popular AI image generators are using, and that is an entirely different approach.

Diffusion models are trained on hundreds of millions of images, each with a caption describing the image in words to learn the relationship between text and images. Through the process, the network also learns to infer other conceptual information about the world, like what colours or elements would make an image feel like a specific artist or a particular brand created it. After being trained, the models learn to take a text prompt provided by the user, create low-resolution images, and then gradually add new details to turn into a full image because it has now learnt how to do it billions of times. Moreover, this process is repeated until the final high-resolution image is produced.

In addition, diffusion models do not just modify existing images. They generate everything from scratch without referencing any images you might find online. This means that if you ask them to generate an image of a dog, they will not just find an image of a dog and then add some details to it. Instead, they will create the image of a dog from scratch based on their understanding of what a dog is.

This approach has a few benefits, one of which is that they are more efficient to train. Images generated by diffusion models are more realistic, making it easier to control the generated images. For example, if you want the dog to be a specific colour, you can just include that in the text prompt. Overall, text-to-image AI models have come a long way in recent years. With the new addition of diffusion models, they can generate more realistic images better than ever.

One of the most popular models out there is Dall E. It is based on the same architecture as GBT3, a transformer-based language model. However, instead of predicting the next word in a sequence of text, Dall E generates images from textual input. Dall E does this by a combination of computer vision and language understanding. For example, give Dall E a textual prompt, like an armchair in the shape of an avocado; Dall E will generate an image of an armchair that looks like an avocado. The model has been trained on a large data set of images and their corresponding textual descriptions, which allows it to understand how to generate new images based on textual prompts.

Using Dall E

If you want to try Dall E, they no longer have a free version. What you can do is go on to the Open AI website and try Dall E Action. You can then sign in to Dall E, make an account with your Google address, Microspot.Com, or you can just make it with your usual email address. And then, you can type in exactly what you want Dall E to create for you. They give you some examples; you can find an impression oil painting of sunflowers in a purple Vase. Or you can click on Surprise Me, which gives you some options to play around with.

The only thing with Dall E is that you need to buy credits to use the app. So you can get 150 credits for $15. It is not currently available as a standalone tool for public use as it is still a research project in development.

However, Open AI has released some examples of Dall E’s capabilities. So, if you go to their website, you can see some examples of what Dall E has been able to create. And if you hover over each of the examples, you can see what text prompt was actually used to generate that image by Dall E.

Therefore, Dall E comes with many capabilities, and all of these images are made from scratch; they are not images that have been uploaded on Dall E and then edited to fit the text prompt; they have all just been created by Dall E itself.

So if you are interested in using Dall E in your own work, you may want to keep an eye on the developments from Open AI to see if and when the technology becomes more available for public use. In the meantime, other tools and resources, like Dall E, are available for generating images; one is Hypotenuse.

Hypotenuse: AI Content Generator

Hypotenuse AI image generation tool is a brilliant programme, capable of translating text prompts into an image in any style you want. Despite having never seen a picture of, for example, a horse swimming underwater, Hypotenuse AI’s image generator can extrapolate from what it has learnt to render it for you. In the same way, anyone can probably sketch a bad drawing of what we know of horses underwater. In doing so, the image generated is not copied from anywhere, and they are entirely unique to you.

With Hypothet News AI, you can have a free trial by signing up with your email or even just with a Google account. So if you want to sign up with Google, you just want to click on continue with Google. And then, you are presented with an image generation platform.

So the way their platform works is simple. You input a short description of what you want to see, and their AI will generate that picture for you. The same as AI content writers, their images are generated from scratch. Each time, they are generated only from the instructions you gave to their AI, as it has learnt from millions of images and texts all over the web and gained an understanding of how to read and create relevant pictures.

Hypotenuse in Use

As we mentioned, the process here is very simple, and the final result is original and created based on your own description and instructions. Once you have signed up, you can explore the platform and enjoy its “try an example” feature. What happens in this step is that you start describing your image and ask the AI generator to show you an example of what the result would be.

For example, if you want to generate an image of a shiny seaside town as a digital painting, you simply type that description and move to the “guide me” section, switch it on and off, to choose the type of photo you want to generate (aesthetic, mood lighting, artistry style, etc.). after selecting the kind of photo or photo effect that you want, you then choose the type of image, (photograph, digital art illustration, 3D render, artwork, etc.).

Let’s say we will create digital art aesthetics. You can also choose the type of aesthetic you want (cyberpunk fantasy, cybernetic, etc.). After selecting the aesthetic style, you can choose the mood lighting you desire (calm, dramatic, golden hour, etc.), allowing you to select up to three lighting choices. Once this is covered, you can select the style you want for your creation (oil painting, digital painting, airbrush, etc.).

In this step, you can choose up to three styles as well, and you can also leave them blank. Of course, this is only active as long as you have the “guide me” toggle on; otherwise, you can simply type your description of all the effects and styles you just selected, then choose your desired sizing and click “Generate”.

Once all is done, you just wait for your image to be generated, and after a little while, you will find all the images that work with your description or the prompts you chose. Again, all of these images are unique; they have not been pulled from a particular website, but they are fully following the prompts that you have given them. And then from there, you can save any images you like, and then you can use them for whatever purposes you need them.

However, when you download these images from the free trial, they will come with a watermark. To remove that watermark, you do need to subscribe to their premium version, which is about $29 a month.

Midjourney

So what is Midjourney? Midjourney is an artificial intelligence programme and service that takes the user’s prompts and generates unique images. Their target is expanding human imaginative powers. So it’s essentially another AI image generator, and an AI image generator is a text image tool designed to make it easier for digital marketers and content creators to create images online. They do this using a machine learning algorithm, and they can generate realistic photos and illustrations based on instructions. The way AI text-to-image works and the way Midjourney works is by using something called the diffusion model.

Diffusion models are trained on hundreds and millions of images, each with a caption describing the image in words to learn the relationship between the text and the images essentially. Through the process, the network also learns to infer other conceptual information about the world, such as what colours or elements would make an image feel like a specific artist or a certain brand created it.

After they HAve been trained, the models learn to take a text prompt provided by the user, create a low-resolution image, and then gradually add new details to turn it into a full image because it has now learnt how to do it billions of times.

This process keeps on repeating until the high-resolution image is produced. Diffusion models do not just modify existing images. They generate everything from scratch without referencing any images you might find online. This means that if you ask them to generate an image of a dog, they won’t just find an image of a dog and then add details to it. They will create the image of a dog from scratch based on their understanding of what a dog is. And this approach has a few benefits. There, it makes them more efficient in training.

Images generated by the diffusion model are more realistic, making it easier to control the generated image. For example, if you want the dog to be a specific colour, you can just include that in your text prompt. Overall, text-to-image AI models have come a long way in recent years. With the advent of diffusion models, they can generate more realistic-looking images than ever before.

Moreover, Midjour’s AI tool is an intelligent programme capable of translating text prompts into an image in any style you desire. Despite having never seen a picture of, for example, a cat riding a horse, the image generator can extrapolate from what it has learnt to render it for you in the same way; you could probably sketch a drawing from what we know of cats and horses.

In doing so, the images generated are not copied from anywhere and are entirely unique to you. So with Midjour it can be an entertaining programme to play around with and see what you can do to get started. The benefit of AI-generated anything is endless. With just a few keystrokes, you can make images that look like they were shot by a professional photographer or create objects and people that don’t exist in real life.

A ton of benefits can come from an AI image generator, and some of them include increased productivity. In addition, with an AI image generator, you can create stunning visuals in seconds without learning complex editing software. Then you can have more control of your images, so you can easily adjust the lighting, textures, and shadows to get the exact look you want as well as uniqueness. Every image you generate is created from scratch, so you can be assured that being different is the quality you will have with using text-to-image generators like Midjour.

As cliché as it sounds, your imagination is truly the only limit. Not to mention, it can be amusing to just go on an AI image generator and just create as many images and art simply just for your own pleasure. Productivity aside, rendering random images.

So even just to try it out, it is simply worth doing. To get started with Midjour, you want to go on to Midjourney’s website, and the way Midjourney works is you use it through the Discord platform. For that, you need to create an account on Discord, join one of the Midjourney servers and then use the Midjourney bots to generate your image essentially.

However, it is essential to note that Midjourney has stopped doing its free trials, so you need to sign up for your chosen plan if you want to keep using it. But even if you just wanted to sign up and see what other people have been asking the bots to draw or create, you can still do that even without an account. But the first thing you want to do is ensure you have a Discord account created.

Creating a Discord Account

To create a Discord account, go to Discord.com and click on Register. If you already have a Discord account, you can just sign in. But if you want to create an account, just type in your email, username, password, and birth date and click on continue. Once you have everything done, it will ask you to verify your email account, and you’ll receive a verification email. Once you have your account set up and verified, you can see all your account details and any servers you are a part of; all will be added to your account.

Moreover, you can explore some public servers and add others; within that, you can join different communities. So what you want to do now is look for the Midjour server. Another way you can do this is through the Discover page, or you can see Midjour is a featured community. The other way is to go through Midjour’s documentation; go to the Get Started page, and there should be a link to join Midjour through their Quick Start Guide.

Once you go to the Quick Start Guide, it should ask you to go on to the Midjour Discord. What you might find, though, is when you click on this link, it might be broken, in which case all you need to do is go back into the discovery section and look for the Midjour server. Once you have joined the Midjour server, all you need to do now with Midjour Discord is look for a server that starts with the phrase Newbies and just join one of these rooms.

Essentially from there, you can ask bots to create an image for you using their AI-based text-to-image generator. This is all within the free version of this. All you need to do is go into one of these rooms, and with the free version, you can view already existing images that people have generated. Then you can make edits as well.

If you want to type in your prompt, all you need to do is come down to the typing section and do a backslash. You are now looking at the Imagine prompt; then, you need to type the name of your actual prompt and hit Enter. However, your image will not be generated if you do not have a subscription plan. The programme offers annual and monthly billing, in which you can enjoy all its features.

Moreover, you can also subscribe to the standard and pro plan to enjoy their fast and relaxed generations. In the basic plan, you can generate only 200 images per month. On the other hand, while using the pro or standard plan, you get more options and more time to generate more images. It goes like this: The more you pay, the more you earn!

Once you have selected a plan, you can then go back, and the Discord bots will start building your image based on the prompt that you have given them. Using the Discord chat, you can see different images people have requested and what the Midjour bot has used to generate them. You can Favourite things, and you can make variations as well, again, depending on what plan you are on. They can create high-quality images that way as well.

On the Midjour website, they have a showcase and a community showcase here where you can see different things that people have already created using the image generator. And if you hover over it, you can also see what prompt they use to get this image style. So you can see they are very detailed prompts. Some prompts have what styles they wanted and what art style they wanted. Others also have it in the view size and what art style they wanted. So as you can see, the more detailed your prompt is, the more high quality your image will be, and the more unique your image will feel.

There are loads of unique images right there as well. With the prompts, you can type in some parameters, like the high-definition parameters are going to be aspect ratio, the quality, and all of that. You can type in as part of your prompt as well. Suppose you go to the homepage in Midjourny, the homepage in Midjour and go to help in FAQ. In that case, you will be taken to their documents. You can see through their Getting Started and their user guide to learn how to use different command lists, different settings, and prescales.

Moreover, you can choose the Midjourney version you want to use and customise your prompts. Midjourney is one of those things that can be an excellent creative outlet when it comes to applying these images in the real world. It’s perfect for fields like content marketing.

A good picture is worth a thousand words, and AI-generated images can turn a thousand words into a million. Whether writing an article, building a web page, running an ad campaign, building up an instant library of creatives, or even for some social media posts, AI-generated images can be a perfect idea. It is also great for artists and designers. You can inspire and fuel creativity using AI-generated images to springboard your ideas and kickstart your creative process.

Midjour’s AI has learnt from millions of images and texts over the web and has understood how to read and create relevant pictures. Whenever you ask the bot to generate an image, it doesn’t copy or pull images from anywhere. Still, it considers the concepts it already knows and creates new images from scratch every single time. When it comes to the copyright on all of these images, you know you are on the safe side, as all of these designs are original and custom-made upon your request. So while the service is quite unique, the more in-depth your prompts are and the more details you give when running your prompts, the more special it can be.

You shouldn’t be worried about your designs being copied. However, the chance that someone uses a similar prompt is there. That’s why it’s always better to be as detailed and precise as possible. It’s important to note that the images that you create are public domain, so you are free to use them. Still, you don’t own the copyright, so anyone can use them for different purposes, including commercial purposes. So you can feel free to use them for anything that you like. In terms of any restrictions, there are some restrictions on what art you can create. It’s always advisable to create content responsibly, depending on your platform.

Some platforms like Hypeout News will censor not suitable for work type art. So you should always keep that in mind. But in general, you can pretty much create everything. The quality of some of Midjour’s images is why it is a favourite amongst many people. It can produce absolutely high-quality and mind-blowing results that you can use for everything you want. Even with the community showcases, you can see loads of different images that people have been creating in so many different styles with other prompts.

So you know that it’s an outstanding quality AI-based image generator. Software like Midjour, Dali, and Hypotenuse AI are high-profile and packed with great features. There is also a bunch of alternatives as well that get the job done. But AI, in general, is amazing. This type of AI, where you can generate your own images, even if it is not something that might help your business and even if you are trying it just for fun, is incredible.

AI-Generated Images

So now, let’s talk about some uses of AI-generated images. You can use images that AI has generated in many ways. One use case might be through content marketing. Suppose you are a small-time creator who writes for a living. In that case, you don’t have a marketing budget nor a talented crew to work with, creators like yourself have to search for stock photos to use blog pictures, copywriting captions to market your newsletter subscriptions, or if you’re writing blog pieces, journals, and so on.

Good images are also vital, for that matter, but you might not always have the budget for it or even the time. This is where AI-generated images can help because they can execute that task instantly without many complaints, whether through ads, product showcases, blog pictures, or social media posts. AI image generators have been trained to do it all, with low cost and significant impact, depending on your platform. On a larger scale, AI content marketing can be a completely different ball game altogether. Another surprising use of AI is through architecture and design.

With the rising popularity of image generators using AI, many people, amateurs and professionals, have been turning to AI for design inspiration for their homes and business. Even the most outlandish concepts can be done in minutes without constructing 3D models from scratch. It can address design flaws and architectural weaknesses, which would also mean that that process is much less stressful. Granted, a designer will still have to go through several iterations, including minor tweaks on the graphic editors, before the image can be reliably used as a conceptual model, but that generative AI can help ease the creative load.

Today, AI-generated art is used to create new forms of music and poetry. Advertising, architecture, fashion, and film are just some fields where realistic images and animations made by AI can make a sizable impact. As mentioned before, depending on what platform you use, for example, this is Hypotenuse, the images you create are free copyright, making it a great tool for content marketing if you need images for your blog, your social media posts, and things like that. 

High partisan news, Midjour, Needle, all of these AIs, don’t pull images from the content. They don’t pull from any existing images. They essentially just create new images as well. With high-part news, the images you create with them are public domain. You don’t own the copyright. Feel free to use them for anything that you like. But they can be used by other people as well. There are some cons to AI-generated art.

One of the cons is that it lacks the human touch. So AI-generated art may lack that personal touch and emotional depth that can come with being created by a human artist. Being a relatively new form of technology, it opens up the tool to potential abuse. Depending on your platform, some placeholder measures are out there to facilitate that concern. For example, HiP or News AI sensors what is unsafe for work content and anything with hateful content, profanity, and other tools as a basic safeguard against potential abuse.

It may not be much, but it’s something better than nothing. Another issue can also be that there is limited creative control. So while AI algorithms can generate art, and you can be as specific as you want whenever you are describing the art, the artist still has limited control over the final product as the algorithm makes decisions about the art’s placement of their composition and style.

But overall, the pros and cons of AI-generated art will depend on the artist or organisation’s specific use case and goals. Overall, opinions on AI-generated art will vary from artist to artist. Some may see it as a tool for enhancing their artistic practice. In contrast, others might see it as a threat to their livelihood and the integrity of art itself. What’s important is that you are using it in a way that enhances your business and your skills as well. It’s a handy tool that can be used to help save some time and improve the body of your work.

Don’t hesitate to try it out, especially the Hypotenuse AI, as it comes with a free trial; in addition to Midjourney that you can join through Discord. So there are some use cases out there worth the try! Overall, this technology has potential applications in fields like design, advertising, and gaming, and it showcases the potential of AI to create new forms of artistic expression.

SEE ALSO: Non-Copyrighted Images – How To Use Them