There was a time when the concept of creating images was redundant. All you could do was click or paint images. But with times changing, today everything is possible. Yes, we are talking about how artificial intelligence has taken a leap forward and developed the best AI technology for generating images.
One such technology we must discuss is the Dall-E 2 from the House of Open AI. This one is capable of creating images from a description in natural language.
This means we can finally bid adieu to human effort and get our hands on a more convenient and simpler system. You will be shocked to know that since the inception of Dall-E 2 in 2021, more than 3000 artists from various countries have incorporated this form of artificial intelligence into their workflow and produced masterpieces!
Capabilities of the Dall-E 2
Dall-E 2 is extremely powerful; hence, it can understand prompts and curate beautiful, original images. Some of the major capabilities of the Dall-E 2 are:
1. Image Generation
You can do it simply with the help of natural commands. It can understand natural languages and then create an image that is both creative and realistic in nature.
The best part about this feature is that it is not robotic. Hence Dall-E 2 can understand the different styles and attributes and then combine these concepts. You can also mention the styles, and it will create an image based on the same style.
For example, you might give a prompt which says, “Create an image of a carriage on the moon in a photorealistic style.” Dall-E 2 will be able to curate that in seconds.
2. Outpainting
The outpainting option ensures you can extend the image beyond the original canvas. Hence, if you feed an image that does not have many additions around it, you can extend the image. It is a great feature as it helps you keep the original canvas as an inspiration and create a more creative canvas around it. The additional canvas will change based on the prompt you feed and the image.
The good thing about Dall-E 2 is that it comes with all such minor features, which makes a big difference.
3. Inpainting
Inpainting is an option where you make realistic edits to the existing image. This is usually done with the help of natural language. Not only can you add new elements to the image, but if you want, you can also eliminate some forms you do not like. This could be any figure, shadows, reflections and similar others. You can do all of this in a couple of seconds.
4. Variation
We all know that “variety is the spice of life”. This goes the same for the images that we come across as well. Copying is something that should be avoided, even for AI tools. However, you can always take inspiration from someone, right? Variation is one such feature that allows you to curate images from inspiration.
You can add your creative touch and formulate an image that is unique yet has the impression of inspiration. The variation feature is one of a kind, and it helps you to make images more versatile.
Features of the Dall-E 2
Dall-E 2 is a much more refined version of the Dall. E. There has been a lot of trial and error before introducing it, and even experts have tried it. Some of the most promising features of the Dall-E 2, which makes it so reliable, are:
Processing of Natural Language
One of the most impressive features of the Dall-E 2 is that it can understand natural language and then work on it. It is a well-trained AI that does not usually make mistakes in understanding what the user wants.
All you need to do is add simple language and make the sentences easy to understand. Dall-E 2 is based on the model of transformer language. This ensures that it receives images and text as a single data stream.
Multiple Object Drawing
Dall-E 2 is currently the only model with multiple object drawings. Dall- E can understand the attributes of different figures and then function according to the same. Testing has shown that Dall-E 2 has the capability of relative positioning as well as stacking objects.
The best part is that you can easily control the multiple attributes of the objects and that too very easily, for example, in a prompt like “a red apple hanging from the green branch of a tall tree” Dall-E 2 will be able to understand all the attributes and then formulate an image. This increases the efficiency of the model manifold.
Three Dimensional Capability
Dall-E 2 is one of the most sophisticated forms of AI generative model and has three-dimensional capabilities. Not only that, it also allows you to have control over the viewpoint of the image. Dall-E 2 can draw images from different angles and perspectives with absolute precision.
Internal And External Structure
You would be shocked to know that being an AI model, Dall-E 2 can differentiate between a product’s internal and external structure. For example, if you give the prompt of generating an x-ray image, it will be able to give you that.
On the other hand, if you want to generate an image with only a zoomed perception of the dorsal structure, you can do that, too. You will be able to generate images based on the cross-sectional or longitudinal view as well.
Contextual Details
We understand that the entire mechanism works based on the context of the text to image. However, making sense of a simple sentence and then curating it to an image can be difficult because one sentence can have different implications. Consequently, you will be able to create thousands of images from one single prompt.
Dall-E 2 is capable of understanding these contextual details and then creating images. Also, if you do not like any particular image, you can regenerate it very easily. It has the capability of controlling the attributes. It can also control the location and the angle from where the image has been generated. Dall-E 2 can thus understand the “Fill in the blanks” and work more humanely.
Combining Abstract Concepts
Dall-E 2, as we have mentioned, is much more remarkable and can make things work even if they are unrelated. What does this mean? This means the image will be generated if you give a prompt that combines real and imaginary things. It can easily combine the two and then generate your desired result. Dall-E 2 can achieve this not only with inanimate objects but also with real objects.
Geographical Knowledge
It is not bizarre for an AI to have geographical knowledge. However, Dall-E 2 does make it shocking by taking this knowledge a step forward and including it in images.
For example, if you give a prompt like ” generate an image of a food from India,” it will be able to do that with precision. You can achieve an image from any part of the world by mentioning the place’s name.
Temporal Knowledge
It can be understood that the concept of different objects has changed over time and how it was in a particular time frame. Hence, if you want to generate images from a particular time frame, you can do that with the help of Dall-E 2.
Conclusion
There is no doubt that artificial intelligence is the future, and without sophisticated mediums, it can become challenging. From the house of Open AI, Dall-E 2 is a stellar launch after the revolutionary ChatGPT.
To use this form of artificial intelligence, you must have a persevering mind and the right approach. It will help you explore the platform more and understand what makes it different or the various features available. It is the only transformer to receive images and texts as a single stream of 1280 tokens. This is what makes Dall-E 2 is much more streamlined and proficient in nature.
Meta Description: Don’t waste hours creating a simple image. Give prompts to Dall-E 2 and let it create some unique graphics with its tools.
