Free AI Image Generator

Our free image generator is temporarily down, we recommend Canva’s Image Generator.

TIPS! Make sure you choose the settings, you probably don’t want “Dali” and “Surrealism” style pictures. Set it to “None” for more realistic images or try some of the other classic painting styles.

Stable Diffusion works a bit better: try setting the artist to “none” or and the style to “photorealism” or “hyperrealism” or “realism” for better results.
PS. The NSFW filter doesn’t work very well… so you might see boobs.

free AI image generator

I’ve been playing around with Midjourney for awhile and am testing ways to build a free online image generator tool I can use with some of my sites. I haven’t found a good one yet, but here’s a free AI generator that kind of works. The results aren’t amazing, but it’s fun to play with the different artists and art styles to see what kind of art it produces. I’ll update this page when I have some better tools to share.

You can choose between Dalle or StableDiffusion.

Discover the Magic of Free AI Image Generators: An In-Depth Guide

Free AI image generators have transformed the world of graphic design, advertising, and content creation. They leverage machine learning and artificial intelligence to produce realistic images, abstract designs, and even portraits from simple text descriptions or input data. In this article, we’ll delve into the workings of AI image generators, the breakthrough technologies like DALL-E and Stable Diffusion, and how they are revolutionizing the creative landscape.

What is an AI Image Generator?

An AI image generator is a tool powered by artificial intelligence that generates images based on certain inputs, which can be text descriptions, sketches, or other images. They utilize advanced machine learning algorithms, specifically Generative Adversarial Networks (GANs), to create images that are often indistinguishable from those produced by human artists or photographers.

How Does an AI Image Generator Work?

At the heart of an AI image generator is a neural network, a computational model that mimics the human brain’s capacity to learn. The neural network is trained on large datasets of images, learning patterns and features from this data. It then uses this learned knowledge to generate new images.

The process involves two components: a generator, which creates new images, and a discriminator, which evaluates these images based on their similarity to the training dataset. The two components work in tandem, with the generator improving its creations based on feedback from the discriminator, leading to increasingly realistic images.

DALL-E vs. Stable Diffusion

Two significant advancements in AI image generation are DALL-E and Stable Diffusion.

DALL-E, created by OpenAI, is an AI system that generates images from textual descriptions. It’s essentially a version of the language model GPT-3, retrained on a dataset of text-image pairs. DALL-E can generate images of objects that don’t exist in the real world, making it a powerful tool for ideation and concept creation.

On the other hand, Stable Diffusion, also from OpenAI, is an AI that turns sketches into photorealistic images. It utilizes a different kind of generative model called a diffusion model. The model starts with a random image and gradually refines it to match the sketch, producing impressively realistic results.

The Impact of AI Image Generators

AI image generators have immense potential to revolutionize various industries. They can aid designers by providing initial concepts, help advertisers create engaging visuals, and even assist filmmakers in pre-visualization. Furthermore, they can democratize design, allowing non-designers to create high-quality visuals for their projects.

However, these tools also raise ethical considerations, such as potential misuse for creating deepfakes or synthetic media. It is crucial to use them responsibly and maintain a keen awareness of the implications of AI-generated content.

Best FREE AI image generators

  1. Uses deep neural networks to turn your photos into works of art based on different styles.
  2. DeepDream: This Google project turns your photos into dream-like images using a convolutional neural network.
  3. Artbreeder: Combines multiple images to create new ones, based on genetic algorithms. It’s like “breeding” images together.
  4. RunwayML: An AI software platform that allows creators of all kinds to use AI in an intuitive way. It has multiple pre-trained models for image generation.
  5. This Person Does Not Exist: Uses GANs to generate images of fictional people. Each time you reload the site, it generates a new face.
  6. DeepAI Text to Image Generation: Converts a textual description into a digital image. It’s based on the DALL-E model from OpenAI.
  7. StyleGAN2: An improvement over the original StyleGAN, used for generating realistic images. It’s often used for generating faces but can be adapted to other types of images.
  8. NightCafe Studio: Allows you to create a wide range of art using AI, including images, music, videos, and text.
  9. GANPaint Studio: An online tool that lets users modify images with paint-like tools powered by GANs.
  10. Wombo Dream: Turn simple text prompts into images. It’s inspired by OpenAI’s DALL-E and allows for creative image generation.

Remember that while these tools are free, some might have usage restrictions or might require you to sign up. Also, AI-generated images should be used responsibly and ethically, especially when sharing them online or using them for commercial purposes.


Q: Are AI image generators free to use?
A: Many AI image generators offer free tiers or trials, but for high-resolution images or commercial use, a paid plan might be required.

Q: Can AI image generators replace human designers?
A: While AI image generators are powerful, they lack the creativity, context understanding, and emotional intelligence of human designers. They are best viewed as tools to augment human creativity.

Q: What are the limitations of AI image generators?
A: AI image generators can sometimes produce unexpected or nonsensical results, particularly for complex or ambiguous inputs. They also require significant computational resources.

Q: How do DALL-E and Stable Diffusion differ?
A: DALL-E generates images from textual descriptions, while Stable Diffusion turns sketches into photorealistic images.