Create breathtaking images with little effort and in the shortest possible time that even a Renaissance artist would envy? That’s the promise of AI-based tools like Midjourney, Craiyon, Stable Diffusion, or DALL-E 2.
But is it really that easy to create images with artificial intelligence? And what speaks for, what against the use of generative type?
Below, we’ll show you how to create high-quality AI images with just a few clicks. You will also learn about the advantages and disadvantages of the so-called generative type.
What is Generative Art?
As a content producer, you can harness artificial intelligence (AI for short) to generate different content formats. Innovative, AI-powered tools are not only capable of producing high-quality text. Rather, it is now also possible to have images created using AI. Thus, the term “generative art” includes any content formats such as texts, images or videos that have been created with the help of artificial intelligence.
Application possibilities and content formats
The fields of application of artificial intelligence are very diverse. This means that you also have various options available to you in the context of content production. For example, you can use AI:
- Create content plans and make them engaging;
- Create content such as videos, images or texts that offer users real added value and present information in a comprehensible way;
- Create mood boards and gather inspiration for new concepts;
- Create more variants of existing images in quick iterations.
- Identify appropriate keywords for your posts or keywords for your images.
Moreover, AI-powered tools help you write texts that sound natural and contain all relevant keywords. In recent years in particular, major improvements and further developments have taken place here. Let’s look at the benefits of Generative Art in more detail in the next step.
Generative type: these are the advantages
The use of artificial intelligence, when used correctly, brings many benefits to you in content creation of a generative nature. Below we go over the five most important benefits:
1. Comprehensive planning: modern AI-based software solutions offer you a working environment in which you can structure your ideas in advance and plan them visually. New approaches can be graphically designed without much effort and thus within a co-creation process the final result can be refined.
2. Optimal results: With the targeted use of artificial intelligence, you can generate interesting and compelling images in no time. You can be sure that your images will more than meet even the highest quality standards. This is because the software automatically takes into account your desired illustration style, visually aesthetic image compositions, and harmonious color scheme.
3. Flexibility: some programs come with additional features that allow you to adjust and post-process images as needed. This way, you can tailor your content to your target audience in the best possible way and elaborate it according to your wishes.
4. Ease of use: another plus point is that AI-supported programs are usually relatively easy to use, even for non-experts. Online tools in particular can be used conveniently from the browser – and thus on the move. So the user does not need to own a powerful computer or an expensive notebook. Since the data is stored directly in the cloud, you are always on the safe side – even if your browser should crash.
5. Regular updates: Last but not least, artificial intelligence can help you keep your content up to date. Because the software gives you an overview of current trends, technologies and developments and lets these flow directly into your generative style.
Active support in the creative process
Whether text, image or video: In principle, artificial intelligence can be used to produce any type of content within a very short time. This way, you have a strong partner at your side to sketch out initial ideas or try out new approaches. However, the basic requirement is that you have the necessary expertise and the right skills in dealing with “generative art” and AI-supported content production so that you can give the “right” instructions.
Time is money: fast results & short iterations
Do you have an important deadline to meet and need your first visualizations as soon as possible? It doesn’t get any faster or easier than with artificial intelligence. AI-based programs can create over a hundred different images in a few seconds. Not satisfied with the first draft of an AI-generated image? With just one click you can create new proposals from AI images or edit the existing ones. edit Then you can post-process or edit the content with just a few clicks.
Quality and precision: for an optimal end result
Many users are initially surprised at the accuracy with which a generative art generator creates impressive images, photos or drawings within a very short time. But texts written with the help of artificial intelligence can now easily hold a candle to other, manually written texts. It also allows you to elevate existing text and image content to a whole new level with little effort. Creating mood boards, finding new inspiration or running a brainstorming process becomes a breeze.
You must be wondering what are the four most popular tools for generative art? We will be happy to give you a comprehensive overview.
Create AI images: The best 4 providers
DALL-E 2
Midjourney
Good to know: Midjourney not only takes into account the keywords you choose, but also adheres to your stylistic specifications. Whether it’s an expressionist painting or a photorealistic 3D image, the more information you provide Midway, the more you can influence the outcome.
Craiyon
The DALL-E neural network, which generates images from text descriptions, is currently only accessible to a few people in the Beto program. However, there is an alternative that is in (almost) no way inferior to DALL-E: Craiyon (previously DALL-E Mini) is a free online tool based on artificial intelligence that can be used to generate first-class AI images. At the same time, the open source program is also convincing in terms of user-friendliness: After you have entered your search query and clicked on “Draw”, you will be sent nine different image suggestions within a few minutes.
Stable diffusion
Generative type: disadvantages and challenges
One of the biggest obstacles to creating content using artificial intelligence is that it can’t mimic individual ideas one-to-one. So when you create an image with an AI tool, the subject may not be what you want it to be. In addition, the software can also make visual mistakes or create incorrect compositions, which also lowers the overall quality of the image.
Another serious disadvantage is that advanced programs in particular are rarely free for experienced users. Often you will also need to subscribe to the software, which can add further monthly or annual costs. Only a few manufacturers, such as Craiyon, allow Generative Art to be produced permanently free of charge.
Lack of know-how / prompting
Even if at first glance it seems child’s play to create AI images or commission a chatbot to write a text, in practice it is not uncommon for the result not to meet the content producers’ expectations. After all, producing content that is relevant to the target group requires broad expertise and a certain amount of experience in dealing with artificial intelligence. It is not without reason that so-called “prompting“, i.e. the targeted teaching of AI tools, is an art in itself. If you don’t know exactly how the tools work or how to use them, you can use them. which prompt commands you have to use, you will not get a satisfactory result even after more than a hundred attempts. However, this will certainly change in the future
A tool rarely comes alone!
Making AI-generated images is usually just the first step in creating the desired content. This is because, in addition to using AI for generative art, other measures are often needed to optimize classic image, video, sound or 3D editing tools. This requires suitable and often expensive hardware and software on the one hand and additional know-how on the other.
Conclusion: How generative art is changing the marketing world
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Dustin Bättig | CEO