10 Best AI Image Generator Tools 2024

What is an AI Image Generator?

An AI image generator is a tool that uses artificial intelligence to create images. They used text descriptions or other inputs to create images. These generators used machine learning algorithms to produce visually appealing images. They can be used for various purposes, including art creation, design, content generation, and more.

How it works?

The process involves two main components

• Understanding the Input (Text Prompt)
• Generating the Image

Example

If you provide a prompt like, “A futuristic city with flying cars at sunset,” the AI image generator would

1. Identify the key elements such as “futuristic city,” “flying cars,” and “sunset.”
2. Use its trained model to create an image that visually represents a cityscape with futuristic architecture, cars flying in the sky, and a sunset background.

Features of AI Image Generators

1. Text-to-Image Generation
2. Style Transfer
3. Customizability
4. High-Resolution Outputs
5. Diverse Art Styles
6. Real-Time Feedback
7. User-Friendly Interfaces

10 Best AI Image Generator tools are

1. MidJourney
2. DALL-E 3
3. Stable Diffusion
4. Artbreeder
5. Deep Dream Generator
6. Runway ML
7. NightCafe Studio
8. starry ai
9. DeepArt.io
10. Craiyon

MidJourney

MidJourney is an image generator known for its ability to create high-quality images. It stands out for its creativity and precision. it is a favourite among artists, designers, and creative professionals.

Key Features of MidJourney

1. MidJourney uses text prompts to generate images.
2. Users can experiment with different phrasings and combinations of keywords to produce varying results.
3. MidJourney operates primarily through Discord, where users interact directly with the AI.
4. The platform allows to users see each other’s work in real-time.

Do you Know : AI design tools market is projected to grow at a compound annual growth rate (CAGR) of about 23.5% from 2022 to 2030.

Settings of MidJourney

MidJourney offers various settings that allow users to customize the image generation process. These settings can be adjusted through commands in the Discord chat.

Aspect Ratio (--ar)

• They Change the dimensions of the generated image by specifying the width-to-height ratio.
• Usage Example: --ar 16:9 for a widescreen image, or --ar 1:1 for a square image.

Quality (--q)

• They Adjust the quality of the image.
• Usage Example: --q 2 for higher quality, --q 0.5 for lower quality (default is --q 1).

Stylize (--stylize or --s)

• They Determine how strongly the AI adheres to artistic styles versus sticking to the prompt.
• Usage Example: --s 1000 for high stylization, --s 250 for lower stylization (default is --s 100).

Seed (--seed)

• It sets the random seed for image generation.
• Usage Example: --seed 12345 to reuse a particular image seed.

Chaos (--chaos)

• It introduces more randomness into the generation process.
• Usage Example: --chaos 80 for high randomness, or --chaos 0 for minimal randomness (default is --chaos 0).

6. Image Weight (--iw)

• Adjusts the influence of an input image when using image prompts. Higher values give more weight to the image content.
• Usage Example: --iw 2 to increase the influence of the image over the text prompt.

Uplighting (--uplight)

• It adjusts the lighting in the image to make it brighter.
• Usage Example: --uplight to apply the uplighting effect.

No (--no)

• Excludes specific elements from the image.
• Usage Example: --no trees to ensure that no trees appear in the image.

Version (--v)

• Specifies which version of the MidJourney algorithm to use.
• Usage Example: --v 5 to use version 5 of the algorithm.

Tile (--tile)

• Enables the generation of images designed to seamlessly tile when repeated.
• Usage Example: --tile to activate tiling.

Repeat (--repeat or --r)

• Automatically repeats the prompt multiple times.
• Usage Example: --repeat 5 to generate five different versions of the prompt.

Fast and Relaxed Modes

• Controls the speed and priority of image generation. Fast mode generates images quickly but uses more GPU time, while relaxed mode saves GPU time and is ideal for non-urgent tasks.
• Usage Example: /fast to activate fast mode, or /relax for relaxed mode.

Private Mode (/private)

• Keep your prompts and generated images private.
• Usage Example: /private to activate private mode.

How to Signup?

Create an account on the MidJourney website.

Browse the gallery to see examples of what MidJourney can create.

Enter a description of the image you want to generate.

Adjust parameters to fine-tune the image according to your preferences.

Click the generate button to create your image.

Save your generated image and share it with others.

DALL-E 3

DALL-E 3 is an advanced AI image generator developed by OpenAI. It is part of the DALL-E series. it is renowned for its ability to create highly detailed and imaginative images.

Key Features of DALL-E 3

1. They Convert textual descriptions into corresponding images.
2. It generates imaginative images.
3. it offers various parameters and settings to fine-tune image outputs.
4. it is accessible to both beginners and professionals.
5. DALL-E 3 produces higher-resolution images.
6. DALL-E 3 can generate a wider variety of artistic styles and creative outputs.
7. The model is better at maintaining consistency within an image.
8. DALL-E 3 can interpret longer and more complex prompts, including those with multiple instructions or detailed descriptions.
9. DALL-E 3 is designed to integrate more smoothly with other AI tools and platforms.
10. The model includes built-in safeguards to reduce the risk of generating harmful or inappropriate content.
11. The interface for interacting with DALL-E 3 has been streamlined.
12. DALL-E 3 operates more efficiently.

AI tools can reduce the time required to create images by up to 90%.

Settings of DALL-E 3

When using DALL-E 3 through an API or a command-line interface, There are various command settings can be adjusted to customize the image generation process. These settings typically involve parameters controlling aspects such as image resolution, style, etc.

Resolution

This ” –resolution ” command Sets the output image resolution. For example : --resolution 1024x1024.

Style

The Command ” --style " Applies a specific artistic style to the generated image. For Example --style "photorealistic".

Creativity Level

Command: --creativity

Adjusts the balance between creativity and realism.

Example: --creativity high

4. Prompt Detailing

Command: --detail-level

Controls how much detail the model incorporates from the prompt.

Example: --detail-level "detailed"

Color Palette

Command: --color-palette

Specifies the colour scheme for the image.

Example: --color-palette "warm"

Lighting

Command: --lighting

Defines the lighting conditions in the image.

Example: --lighting "natural"

Texture

Command: --texture

Sets the texture appearance of objects in the image.

Example: --texture "matte"

Number of Variations

Command: --variations

Generates multiple versions of the image based on the same prompt.

Example: --variations 3

Seed

Command: --seed

Sets a seed for the random number generator to ensure reproducibility.

Example: --seed 42

Sampling Method

Command: --sampling-method

Chooses the method for sampling during image generation.

Example: --sampling-method "top-p"

Temperature

Command: --temperature

Adjusts the randomness of the output by modifying the sampling temperature.

Example: --temperature 0.8

CLIP Guidance

Command: --clip-guidance

Controls the influence of the CLIP model on the generated image.

Example: --clip-guidance high

Inpainting/Outpainting

Command: --inpainting / --outpainting

Specifies whether to fill in missing parts of an image or extend the canvas.

Example: --inpainting true or --outpainting "right"

Output Format

Command: --format

Specifies the file format for the generated image.

Example: --format "png"

Batch Size

Command: --batch-size

Sets the number of images to generate in one batch.

Example: --batch-size 5

Advanced Parameters

Command: --advanced-params

Allows for fine-tuning specific technical parameters.

Example: --advanced-params "latent_dim=512, learning_rate=0.001"

Ethical Safeguards

Command: --safe-mode

Enables or disables ethical safeguards to prevent inappropriate content generation.

Example: --safe-mode on

Text Overlay

Command: --text-overlay

Adds text to the generated image.

Example: --text-overlay "Sample Text"

Upscaling

Command: --upscaling

Applies super-resolution techniques to enhance image quality.

Example: --upscaling "ESRGAN"

Log Output

Command: --log-output

Specifies whether to output logs during the generation process.

Example: --log-output true

You Also Like “Check Your Body Mass Index (BMI)“

Stable Diffusion

Stable Diffusion is an open-source AI model for generating high-quality images from textual descriptions. It focuses on stability and reliability. They provide users with a robust tool for creative projects. it is Developed by the AI community.

Key Features of Stable Diffusion

1. They Produce detailed and realistic images from text descriptions.
2. They Convert textual inputs into corresponding images.
3. Freely available for use and modification.
4. Offers various parameters to fine-tune and control the image generation process.
5. Designed to produce consistent and dependable results.
6. Accessible to both beginners and advanced users.

In the creative industry, about 80% of marketers and designers using AI image generation report.

Settings of Stable Diffusions

Image Resolution

Command: --width / --height

Sets the width and height of the generated image.

Example: --width 512 --height 512

Sampling Steps

Command: --steps

The number of diffusion steps used in generating the image. More steps typically result in higher quality but take longer.

Example: --steps 50

Guidance Scale

Command: --guidance-scale

Controls how closely the image adheres to the prompt. Higher values make the image more aligned with the prompt.

Example: --guidance-scale 7.5

Seed

Command: --seed

Sets a seed for random number generation to ensure reproducibility of the image.

Example: --seed 12345

Batch Size

Command: --batch-size

Specifies the number of images to generate in one batch.

Example: --batch-size 4

Sampling Method

Command: --sampler

Chooses the sampling method used during the diffusion process.

Options: Common options include ddim, plms, heun, dpm2, etc.

Example: --sampler ddim

Latent Space Interpolation

Command: --interpolate

Generates images that are interpolations between multiple prompts or latent vectors.

Example: --interpolate "prompt1,prompt2"

CLIP Guidance

Command: --clip-guidance

Uses CLIP (Contrastive Language–Image Pretraining) to guide the generation process and better align the image with the prompt.

Example: --clip-guidance true

Output Format

Command: --format

Specifies the file format for the generated image.

Example: --format "png"

Model Selection

Command: --model

Choose the specific model or checkpoint to use for image generation.

Example: --model "stable-diffusion-v1-4"

Negative Prompts

Command: --negative-prompt

Specifies aspects you want to avoid in the generated image.

Example: --negative-prompt "blurry, low quality"

Inference Optimization

Command: --optimize

Applies optimizations for faster inference or lower memory usage.

Example: --optimize "memory"

Text Overlay

Command: --text

Adds text directly onto the generated image.

Example: --text "Hello World"

Upscaling

Command: --upscale

Enhances the resolution of the generated image using super-resolution techniques.

Example: --upscale 2x

Random Noise Initialization

Command: --init-noise

Controls the initialization of noise before the diffusion process begins, affecting the final image.

Example: --init-noise "uniform"

Output Directory

Command: --output-dir

Specifies the directory where generated images will be saved.

Example: --output-dir "/path/to/save/images"

Strength

Command: --strength

Determines how much influence the input image has on the final output in image-to-image generation.

Example: --strength 0.8

Attention Mechanism

Command: --attention-slicing

Enables attention slicing to reduce memory usage during image generation.

Example: --attention-slicing true

Denoising

Command: --denoising

Controls the level of denoising applied during image generation, influencing how much detail is preserved.

Example: --denoising 0.5

Log Progress

Command: --log-progress

Output logs during the image generation process to track progress and debugging information.

Example: --log-progress true

Artbreeder

Artbreeder is an AI-powered platform that allows users to create and explore a vast range of digital art through the use of generative adversarial networks (GANs). It combines elements of different images, called “genes,” to create new and unique visuals.

Features of Artbreeder

• Users can blend multiple images to create new artwork.
• One of the most popular features is the creation of highly realistic or stylized portraits.
• Artbreeder also supports the creation of landscapes.
• Artists often use Artbreeder for generating album covers, character designs for games, or even concept art for various projects.
• The platform is designed to be user-friendly.
• Artbreeder leverages GANs to generate images. GANs consist of two neural networks – a generator and a discriminator.
• The platform uses deep learning models trained on large datasets of images.
• It is a web-based platform, so users can access it directly through their browsers.

Settings of Artbreeder

Gene Editing

Adjusts specific “genes” or parameters that influence the image’s appearance, such as facial features, colours, and artistic style.

Blending Images

Combines two or more images by blending their features to create a new image. The blending ratio can be adjusted. For Example: Blending a portrait with an abstract painting to create a hybrid image.

Crossbreed

Mixes two or more images with a focus on combining their genetic traits. For example, crossbreeding two different landscapes creates a unique terrain.

Upload Custom Images

It allows users to upload their images to be used as a base or combined with other images on the platform. For example, a photo can be uploaded to tweak and blend with Artbreeder’s existing database.

Image Categories

Selects specific categories for image creation, such as portraits, landscapes, characters, or anime.

Style Transfer

Applies a specific artistic style to an image. Users can control the intensity of the style transfer. For Example, Applying a “Van Gogh” style to a landscape image.

Exploration Mode

Provides an interface for exploring variations of an image by randomly adjusting different genes or blending with other images. For Example Randomly generating variations of a portrait by tweaking age, gender, or expression.

Advanced Gene Editing

Offers more granular control over image parameters for users who want to fine-tune specific details. For Example, Precisely adjusting the “sharpness” or “vividness” of an image.

Image Reversion

Allows users to revert changes made to an image or return to a previous state. For Example, Undoing recent adjustments to an image’s colour palette.

Favourite and Save

saves or favourite images for future reference or further editing.For Example, Saving a blended image for later modifications.

Collaboration

It enables collaborative creation, where multiple users can work on the same image, blending their styles and preferences. For example, two users could work together to create a fantasy character.

Remix

Allows users to remix or modify public images shared by other users on the platform, adding their touch. For Example, Remixing a landscape to add surreal elements like floating islands.

Download Options

Offers options to download the final image in various resolutions or formats. For Example Downloading an image as a high-resolution PNG file.

Image Tags

Adds descriptive tags to images to categorize and make them searchable on the platform. For Example Tagging a portrait with “smiling, young, female.”

Public and Private Settings

Controls whether an image is publicly available on the platform or kept private. For Example, Keeping a work-in-progress image private until it’s finished.

Browse and Search

Allows users to browse through and search for images based on categories, tags, or other criteria. For Example, Searching for “landscapes” to find inspiration or base images to work with.

Deep Dream Generator

Deep Dream Generator is an online tool that leverages artificial intelligence to transform images into dream-like, surreal artworks. It utilizes a neural network model known as “Deep Dream,” originally developed by Google, to create visually captivating and often bizarre images based on the input provided.

Key Features

• Applies artistic styles to your images, creating effects inspired by famous artists or unique patterns.
• Enhances and distorts images to produce dream-like, surreal visuals by emphasizing patterns and features.
• Choose from various pre-set styles or upload custom styles to apply to your images.
• Adjust the level of transformation or “dreamification” to control how much the image is altered.
• Generates high-resolution images suitable for prints and digital displays.
• Simple and intuitive web interface, allowing users to upload images and apply transformations with just a few clicks.

Features of Deep Dream Generator

Deep Dream Generator is a tool that uses neural networks to transform images by enhancing patterns and features in them, often creating surreal and dream-like visuals.

Dream Style

Choose the type of “dream” or style that will be applied to the image. Different styles will emphasize different patterns and features.

Example Styles

• Deep Style
• Thin Style
• Deep Dream

Layer Selection

Selects the neural network layers used to generate the dream. Lower layers capture simpler features (like edges), while higher layers capture more complex patterns. For Example, Using a higher layer to emphasize intricate patterns and textures.

Dream Intensity

Adjusts the strength or intensity of the dream effect applied to the image. Higher intensity results in more pronounced and surreal transformations. For Example, Setting intensity to 75% for a moderately surreal effect.

Image Resolution

Specifies the resolution of the generated image. For Example, Choosing 1080p for high-definition output.

Iterations

Determines how many times the dream effect is applied to the image. More iterations can lead to more pronounced effects. For Example, Setting iterations to 5 for a more intense dream effect.

Blend Ratio

Controls how much of the original image is blended with the generated dream image. A higher blend ratio keeps more of the original image’s features intact. For Example, A 50% blend ratio to maintain a balance between the original and the dream effects.

Style Image

Allows users to upload a style image that influences the patterns and colours applied to the original image. For Example, Uploading a painting to apply its style to a photograph.

Preserve Colors

Option to preserve the original colours of the image while applying the dream effects. For Example, Enabling colour preservation to keep the original colour palette intact.

Enhancement

Adjusts the overall enhancement of details in the generated image, making patterns more or less pronounced.

Custom Models

Allows users to select or create custom models that define specific dream patterns and effects.

Filter Settings

Applies additional filters to the image after the dream effect is generated, such as sharpening or softening.

Aspect Ratio

Sets the aspect ratio of the output image. For Example: Choosing 16:9 for a widescreen output.

Zoom Level

Controls the zoom applied to the image during the generation process, creating effects like “zooming into” the dream patterns.

Repetition

Repeats the dream effect multiple times on different parts of the image, creating a more complex and layered result.

Progressive Dreaming

Gradually apply the dream effects in multiple stages, allowing for more controlled and progressive transformations.

Output Format

Specifies the file format for the generated image.

Background Image

Adds a background image that can be blended with the dream image for additional effects.

Save and Share

Options to save the generated image to your device or share it directly on social media.

Public Gallery

Allows users to make their generated images public in the Deep Dream Generator gallery, where others can view and comment on them.

Runway ML

Runway ML is a versatile platform designed for creative professionals and developers to integrate machine learning (ML) models into their projects. It provides tools and resources for using AI in various fields, such as video editing, image generation, and interactive media, without requiring deep programming expertise.

Key Features

• Access a library of pre-trained ML models for tasks such as image generation, style transfer, object detection, and more.
• Train your ML models using your data or fine-tune existing models to better suit your needs.
• Offers a visual interface that allows users to work with ML models and integrate them into creative projects without coding.
• Provides interactive tools for experimenting with and applying ML models to various types of media.

By 2026, it is predicted that 40% of all creative tasks, including visual design, will be automated through AI tools

NightCafe Studio

NightCafe Studio is an AI-powered platform that creates stunning and unique artworks using text prompts or existing images. They are Known for their ease of use and versatility. NightCafe Studio leverages advanced neural networks to generate images in various styles, catering to artists, designers, and hobbyists alike.

Key Features of NightCafe Studio

1. Create images by inputting textual descriptions.
2. Apply different artistic styles to existing images.
3. Fine-tune images with various settings and parameters.
4. Generate and download high-quality images.
5. Create multiple images at once for efficiency.
6. Intuitive and easy-to-navigate platform.
7. Choose from a wide range of art styles and genres.
8. Share your creations and explore artworks by other users.

Starry AI image generator

StarryAI is an AI-powered image generator that allows users to create digital art from text prompts. It uses advanced machine learning algorithms to interpret descriptions and convert them into visually compelling images. The tool offers multiple styles and art filters, which means users can create artwork in various genres, such as abstract, surreal, or realistic.

Key Features of StarryAI

• Users input a description or prompt, and the AI generates an image based on that text.
• You can choose different styles (e.g., modern, fantasy, or classical) for the generated artwork.
• It’s designed to be accessible, allowing users without technical expertise to create unique art easily.
• Anyone can create professional-looking art without knowing how to draw or paint.
• StarryAI is available as a mobile app, making it easy to use on the go.

Craiyon

Craiyon is an AI-powered image generator that creates images from textual descriptions. They are known as DALL-E Mini. Craiyon is an easy-to-use platform that leverages advanced neural networks to transform text prompts into visually compelling images.

Key Features of Craiyon

1. You simply describe what you want the AI to generate, and it will create a series of images based on that input. Be as descriptive as possible for better results.
2. Craiyon typically generates 9 images at a time for each input. You cannot change this number.
3. Since Craiyon is less powerful than larger models, the generation speed is slower, taking between 30 seconds to a few minutes depending on demand.
4. While Craiyon allows you to generate a wide variety of styles, it doesn’t have as much fine-tuning in terms of style specificity compared to other AI image generators like DALL·E 2 or MidJourney.

1. Limitations
   • The quality of images may vary, with some outputs being more abstract or less detailed.
   • Craiyon may struggle with complex prompts or fine details.
   • No advanced settings like resolution control or direct stylistic filters.
   • Craiyon is free and doesn’t require user accounts or subscription plans, but this also means fewer customizations.

It’s a simple tool for fun and casual use, but if you’re looking for more control and higher quality, platforms like DALL·E 2 or MidJourney may be better options.

You Also Like “Check Your GDP ) “.