Midjourney and co: comparison of the best AI image generators in 2023
In a world where images play a central role in our digital communication, AI image generators have taken on a revolutionary significance.
They make it possible to create impressive create visual content. In this article, we compare the leading providers in this area: Midjourney, Dall-E and Stable Diffusion. We shed light on their Strengths, weaknesses and possible applicationsto help you make an informed decision when choosing the right tool.
The phenomenon of AI-generated images has rapidly gained popularity in social media and the press. The reason for this is clear: simple text input can be used to create images in no time at all, in almost any desired style such as photorealistic images.
This article gives you a comprehensive overview of the functions and special features of the three main AI image generators.
To see how we at Bajorat Media successfully use AI image generators to optimize projects, among other things, please visit our page about the Application of this technology in our agency.
Table of contents
Artificial intelligence (AI) - How do these tools create images?
An AI image generator works on the basis of artificial intelligence and machine learning. The core components and functionality can be summarized as follows:
Data records: The AI image generator is used with a extensive data set of images and associated descriptions. These images can be diverse, ranging from everyday objects to complex scenes.
learning process: During training, the model learns to understand relationships between text descriptions and the corresponding images. It recognizes patterns, colors, shapes, objects and their contexts.
- Generation process
User input: When a user enters a text description, analyzed the AI generator reads this text and understands the instructions and descriptions it contains.
Image synthesis: Based on the understood text input, the generator creates an image. It does this by selecting and combining elements that it has learned during training to create an image. create a new, unique imagewhich corresponds to the text description.
- Technical aspects
Neural networks: At the heart of the generator are deep neural networksin particular variants of Generative Adversarial Networks (GANs) or Transformer models. These networks consist of layers that perform complex calculations to extract features from the data and learn how images are generated.
Optimization and feedback: During the training process, the networks are continuously optimized, to create more accurate and relevant images. Feedback loops are often an important part of this process.
- Challenges and limits
Quality and relevance: The quality and relevance of the images generated depend heavily on the Quality and diversity of the training data set from.
Creativity vs. accuracy: It can be a challenge to create a Balance between creative and realistic images.
Ethics and distortions: Ethics and bias are important considerations, as the generator can only reproduce what is present in its training data.
Comparison of the best AI image generators 2023
It is difficult to establish a clear ranking between Dall-E 3, Midjourney and Stable Diffusion XL, as the quality of the generated images often depends on the specific prompt. For example, while Dall-E offers unique interpretations of certain queries, the other models provide more convincing results for other prompts.
Midjourney in action
Midjourney impresses with its ability to be particularly high quality and artistic to generate seemingly endless types of images. The quality of the results is often remarkable, especially when it comes to artistic or surreal image compositions. Operation via Discord, although a hurdle for some users, enables an interactive and collaborative experience in image generation. Users can share their ideas with others in real time and Feedback will be preserved. The planned development of a dedicated web interface promises improved accessibility in the future. Midjourney's pricing structure is tailored to different user needs, from individuals to larger companies.
Dall-E 3: Generate AI images for free
The Dall-E 3 model represents a significant development compared to its predecessor. It is characterized by an improved ability to generate complex and detailed AI images. Its ability is particularly noteworthy, abstract concepts and interpreting complicated instructions. With Dall-E 3, users can expect creative and often surprising visualizations based on their text input. The integration with ChatGPT also provides a seamless transition between text and image generation, which is particularly interesting for content creators and marketing experts. The use via Bing Image Creator offers a free usable opportunity to explore the technology, albeit with the restriction of a limit on the number of images per week.
Stable Diffusion XL: versatility and accessibility
Stable Diffusion XL, known for its flexibility and openness, allows for extensive personalization and customization. The open source nature of the model allows developers and companies to customize the tool according to their needs. specific to adapt and expand it to your needs. Clipdrop, on the other hand, offers a user-friendly interface that integrates a wide range of AI-powered image editing tools. The ability to use Negative Prompts provides a unique Control over the desired image, which is particularly useful for excluding unwanted elements. The combination of powerful features and an intuitive user interface makes Clipdrop an attractive option for both professional graphic designers and hobby artists.
Are AI-generated images free of charge?
The Basic plan is available for 10 US dollars per month or 96 US dollars if paid annually. The limit here is 3.3 computing hours per month.
The extended version costs 30 US dollars per month or 288 US dollars per year.
Here, the image calculation time is increased to 15 hours.
For large companies with an annual turnover of over one million dollars, special Pro or Mega plans are required. Prices then start at 48 US dollars per month.
- Dall-E 3:
If you have a ChatGPT Plus subscription, which costs 20 US dollars per month, up to 50 images can be generated daily.
Access is provided completely free of charge via Microsoft's Bing Image Creator. Here the weekly limit is set at 15 "boosts", which are required for image generation.
- Stable Diffusion XL and Clipdrop:
If you pay monthly, the program costs 13 US dollars per month.
Annual billing reduces the price to 9 US dollars.
These AI image generators represent the cutting edge of current technological developments in the field of visual AI. Your choice ultimately depends on your specific requirements and preferences from. Whether for creative projects, professional purposes or as a field of experimentation - the possibilities opened up by AI-generated images are almost endless. boundless.