Free image generator examples

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Create outstanding images with an AI Image Generator. This blog will give you a few tips about how to get the best results and show you some Stable Diffusion: free image examples.

What is Stable Diffusion?

With Stable Diffusion, it’s possible to generate images through text prompts. It’s an open-source, deep learning, text-to-image model which was released in 2022.

Developed by the start-up company Stability AI, which is based in London and California, Stable Diffusion is founded by Emad Mostaque and has been made possible thanks to different collaborators such as LMU Munich, EleutherAI and RunwayML. Find out here what you can do on Dream studio.

Pros and Cons

Here are some pros on using Stable Diffusion:
  • High Quality
  • Unlimited possibilities
  • Different art styles can be explored quickly
Here are some cons on using Stable Diffusion:
  • Currently, no real copyright projections worldwide
  • Possible risks with using AI-art
  • Still unsure about AI technology in general

Stable Diffusion: Free examples by neuroflash

The AI image generator by neuroflash uses a version of the Stable Diffusion-model to generate their AI-images. Here is how it works:
Take a look at some of the images this tool can create:

Futuristic City Street





With neuroflash, you are capable of creating all the images that are in your head. All you need to do is describe the photo you are visioning, and the image generator will give you the result in a spawn of a couple of seconds. Create your account here.

What is AI?

There is no single answer to this question, as there is no agreed-upon definition of what constitutes “artificial intelligence.” Some people believe that AI simply refers to any form of computer or machine-based intelligence, while others believe that it must be able to replicate or exceed human cognitive abilities in order to truly be considered AI. Whatever the definition, there is no doubt that AI is one of the most fascinating and rapidly growing fields in computing today.

How does AI work?

To understand how AI works, you need to first understand a little bit about how the human brain works. The human brain is a remarkable “machine” that can perform many tasks simultaneously. It can store vast amounts of information and recall it instantly. It can process large amounts of data quickly and come up with creative solutions to problems. AI technology has been designed to mimic the way the human brain works.
AI systems can learn from data, identify patterns, make predictions and provide recommendations or solutions just like the human brain does. However, unlike the human brain, AI systems never get tired and can work for long hours without rest. They are also not influenced by emotions, which means they can remain objective when making decisions.

How do I create an AI-generated image?

There are many ways to create an AI-generated image. One popular method is to use a Generative Adversarial Network, or GAN. A GAN consists of two parts: a generator and a discriminator. The generator creates images, while the discriminator evaluates them for authenticity. To generate an AI-generated image, first you need to train your GAN. You do this by providing it with data—lots and lots of data. The more data you provide, the better your results will be. Once your GAN is trained, it can then generate new images on its own!

Frequently asked questions

Are AI-generated images copyrighted?

This is a difficult question to answer, as copyright law varies from country to country. However, in general, if a computer program generates an image without any human input, then the image is not considered to be copyrighted.

What can AI do exactly?

In simple terms, AI is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn and act autonomously. The goal of AI research is to create a machine that has general intelligence, also known as artificial general intelligence (AGI). This would be a machine that could successfully carry out any intellectual task that a human being can.

Will AI replace humans?

This is a difficult question to answer. On the one hand, there are many tasks that AI can now perform better than humans, such as complex mathematical calculations or recognizing patterns in data. On the other hand, there are many tasks that AI cannot yet do as well as humans, such as empathizing with other people or making ethical decisions. It is difficult to predict the future, but it seems unlikely that AI will increasingly replace humans in many jobs.

Useful tips on text prompts for AI images

When you have an AI image, the first thing you need to do is to determine what type of text prompt will be most useful for the project you’re working on. Here are some tips:

  1. If your goal is to create a realistic or naturalistic image, it’s best to use a straightforward description of what’s happening in the scene. This will help the AI system generate an image that looks true-to-life.
  2. If you want your AI image to be more stylized or abstract, consider using a less literal prompt. For example, instead of describing exactly what’s happening in a scene, you might provide emotional clues or ask the system to generate an “image representing [x] concept.”
  3. Pay attention to word choice and grammar when crafting your text prompt—these can affect how successfully an AI system interprets your request and generates an appropriate response

Useful tips on using AI Image Generators

There are a number of AI image generators that can be used to create images. Here are some tips on how to use them:
  1. Choose the right generator for your needs. There are a number of different AI image generators available, so make sure you choose one that is suited to your needs.
  2. Follow the instructions carefully. Each generator will have its own set of instructions, so make sure you follow them carefully in order to get the best results.
  3. Experiment with different settings. Many AI image generators allow you to experiment with different settings in order to create different effects. So, don’t be afraid to experiment and see what you can come up with.
  4. Use high-quality images. The quality of the images you use will have a direct impact on the quality of the generated images. So, if you want to generate high-quality images, make sure you use high-quality source images.


In this blog, you found out what the text-to-image model is and saw some Stable Diffusion: free image examples generated by neuroflash. This blog also explained what AI exactly is, how it works and gave some useful tip on using AI image generators. Now that you know more about this topic, you should start creating your own image.
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