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AI Image PromptingChapter 1. Introduction to AI image prompting

Choosing the right AI image generation service

Choosing the right AI image generation service

Choosing the right AI image generation service

Different AI image generation service models

The world of AI image generation has grown rapidly — and with it, the variety of service models has become more complex.

You might feel overwhelmed when trying to find the best service for your needs. Different platforms operate in different ways, and understanding these differences can make your decision much easier.

At a basic level, the value chain behind AI image generation involves two major steps:

  • Model providers: Those who develop the core AI technology — the brains behind the images.

  • Service UI providers: Those who create user-friendly platforms, apps, or interfaces that allow you to interact with these models easily.

Depending on how companies combine or specialize in these two roles, we can group today’s services into three main types of business models. Let’s walk through them together.

1. Integrated service providers

Integrated providers take care of both building the AI model and delivering it directly to users through their own platforms. They offer a complete experience — from the technical foundation to the creative interface.

This group can be broken down into two styles:

a. Image generation-focused services

Some services are designed specifically for creating images, offering rich controls, styles, and creative options.

Good examples include Midjourney, Firefly, Flux AI, Ideogram, NightCafe Creator, and Google’s ImageFX platform. These platforms often focus on giving users the tools to create visually striking or highly stylized artwork quickly and easily.

b. Extension of chatbot services

Other services extend image generation features into a broader conversational AI experience. Here, the goal is to make image creation feel as natural as chatting with a friend. Good examples are ChatGPT with DALL-E integration and Google Gemini. Instead of working inside a separate design app, you simply describe what you want in everyday language, and the AI generates it for you right within the conversation.

2. Model-focused providers

Model-focused providers mainly concentrate on developing the AI models themselves, rather than building full-service user platforms. They leave it open for others to create different types of user interfaces or even allow direct, local use.

Stable Diffusion is a well-known example. It offers incredible flexibility — you can use it through third-party services, set it up on your own computer, or even customize it to create entirely new models. This open approach empowers users who want more control over their creative process.

3. Aggregation service providers

Aggregation services gather multiple AI models under one roof, giving users access to a variety of engines without needing to manage different accounts or tools. A good example is NightCafe Creator, which brings together several models — including Stable Diffusion and DALL-E — into a single platform. This way, you can easily experiment with different styles, techniques, and creative possibilities without switching platforms.

Popular AI image generation services

Now that we’ve explored how different service models work, let’s take a closer look at some of the most popular AI image generation services available today. Each platform brings its own strengths, styles, and specializations to the creative process.

Midjourney: Leading high quality image generation

Midjourney

Midjourney, available through midjourney.com, has become one of the most respected names in AI image generation, known for its ability to create stunning, highly artistic visuals. Operating mainly through Discord, Midjourney’s community-driven approach encourages creativity and collaboration while offering remarkable control over style and detail.

ChatGPT and DALL-E: Integrated chat-based image creation

ChatGPT & DALL-E

ChatGPT and DALL-E make image creation conversational and accessible. Simply describe the image you want, and DALL-E generates it within the chat interface. This natural flow makes it an easy entry point for both beginners and creative professionals.

Google’s ImageFX: Free and easy access

ImageFX

Google’s ImageFX offers a simple and approachable way to create images using natural language prompts. It’s designed for ease of use, offering a quick and free starting point for anyone curious about AI-powered image creation.

Google Gemini: Conversational image generation

Gemini

Google Gemini extends AI’s capabilities by integrating image generation within a broader conversational platform. Similar to ChatGPT with DALL-E, it allows users to create images easily through natural language prompts, making creativity feel effortless and intuitive.

Adobe Firefly: Professional safety and Creative Cloud synergy

Adobe Firefly

Adobe Firefly is built for creators who prioritize commercial safety and professional integration. Every image generated is designed to be commercially usable, and the service connects smoothly with Adobe’s broader Creative Cloud tools like Photoshop and Illustrator.

Stable Diffusion by Stability.ai: Customization for power users

stability.ai

Stable Diffusion stands as a key player for those who want full creative control. Users can access it through different platforms, APIs, or install it locally to fine-tune their own models and workflows. Many third-party services build on this open-source model to offer additional features and customizations. Stable Diffusion is also trying to tap into web-based tools like DreamStudio recently.

Flux AI: Next-gen realism and control

Flux AI

Flux AI focuses on providing advanced control over the finer aspects of image creation, such as lighting, textures, and realism. It’s an emerging choice for users who demand higher fidelity and precision in their visual outputs.

Ideogram AI: Text-in-image excellence

Ideogram

Ideogram AI specializes in a challenging area for many AI models: embedding accurate, attractive text inside images. It’s especially useful for creating posters, social media graphics, and designs where typography plays a central role.

Leonardo AI: Game asset specialization

Leonardo.Ai

Leonardo AI is designed with game developers and digital artists in mind. It offers specialized workflows for generating characters, environments, and other assets that fit naturally into interactive media and gaming projects.

NightCafe Creator: Community focus and style variety

NightCafe Creator

NightCafe Creator brings together multiple AI models and styles under one platform. With a strong emphasis on community sharing and style exploration, it’s a great place for creators who want flexibility without diving into technical setups.

How to choose the right AI image generation service

Choosing the right AI image generation service comes down to matching the platform’s strengths with your creative goals, technical skills, and project needs.

By understanding what each service offers, you can make a choice that fits naturally into your creative workflow — whether you’re pursuing casual exploration or building professional projects.

Prioritizing visual quality and customization

When visual quality and artistic richness are your highest priorities, Midjourney with its consistently stunning and stylized outputs could be your best bet.

For creators who want deeper control over the generation process — adjusting model parameters, fine-tuning outputs, exploring lighting and texture settings — services built around Stable Diffusion or more advanced platforms like Flux AI offer a greater degree of customization and flexibility. However, it’s important to note that this level of control often requires more technical knowledge.

Choosing the right interaction style

Your preferred interaction style plays a big role in selecting the right service. For those who prefer natural, conversational workflows, ChatGPT and Google Gemini offer intuitive ways to create images simply by describing them in plain language.

Considering commercial usage needs

When planning to use AI-generated images for commercial purposes, it’s important to ensure proper licensing and rights. Adobe Firefly is specifically designed to address these needs, ensuring that the images created can be safely used for marketing, publishing, branding, and other professional projects.

Seeking special capabilities

Sometimes, your project may demand specialized capabilities that not every platform can handle equally well. If your work involves embedding clear, readable text directly into images — such as for posters, banners, or product packaging — Ideogram AI offers tools designed specifically to improve text clarity and integration, an area where many AI models still struggle.

Leonardo AI focuses on generating high-quality game assets, including characters, environments, and props, which could be an asset for game or interactive media developers.
Its workflows are tailored to meet the specific needs of digital artists and developers working within the gaming industry.

Exploring free trials and cost flexibility

Budget considerations matter, especially when you’re just getting started or trying out different platforms. Some services, like Flux AI, offer daily check-in credits or generous free trial periods, making it easy to test the platform’s capabilities without needing an immediate subscription.

NightCafe Creator also provides a flexible credit-based system, allowing users to try out multiple AI models — such as Stable Diffusion and DALL-E — all in one place.

It’s also worth noting that Google’s ImageFX is a free and accessible platform, offering a great starting point for anyone who wants to experience AI-powered image generation without having to pay any cost upfront.

Finding community and collaboration opportunities

If being part of a creative community is important to you, some platforms naturally support sharing, collaboration, and ongoing creative growth.

Midjourney’s vibrant Discord community and NightCafe Creator’s active platform both offer opportunities to share your work, receive feedback, and draw inspiration from other artists and creators around the world. Joining a community can transform AI image generation from a solitary activity into a dynamic, social learning experience.


Each AI image generation service has its own character, strengths, and learning curve. By thoughtfully considering your priorities, technical comfort level, and project needs, you can choose a service that not only produces beautiful images but also enriches your creative journey along the way.

If you’d like to explore more details and see examples side by side, you can browse popular AI image generation platforms or compare different AI models to find the tools that inspire you most.

Tags:

AI Image Generation

Service Models

Creative Platforms

Image Creation Tools

AI Art Services

AI Image Prompting
Course Content

Chapter 1. Introduction to AI image prompting

Fundamentals of AI image generation

Choosing the right AI image generation service

AI Image use cases and image sizes

Anatomy of AI prompts

Inspirational prompting vs. descriptive prompting

Chapter 2. From inspirations to effective AI image prompting

Learning from the history of art

Exploring modern artistic styles

Understanding camera angles and perspectives

Mastering lighting techniques

Applying color techniques

Techniques for effective inspirational prompting

Chapter 3. Descriptive prompting

Subject-focused prompting

Scene-focused prompting

Design-focused prompting

Abstract and experimental prompting

Chapter 4. Beyond text-to-image prompting

Removing background and resizing images

Remixing images: creating new scenes and characters

The Image-to-prompt-to-image technique

Blending images: creating new visuals through image fusion

Sketch to image: bringing hand-drawn ideas to life with AI

Chapter 1. Introduction to AI image prompting

Fundamentals of AI image generation

Choosing the right AI image generation service

AI Image use cases and image sizes

Anatomy of AI prompts

Inspirational prompting vs. descriptive prompting

Chapter 2. From inspirations to effective AI image prompting

Learning from the history of art

Exploring modern artistic styles

Understanding camera angles and perspectives

Mastering lighting techniques

Applying color techniques

Techniques for effective inspirational prompting

Chapter 3. Descriptive prompting

Subject-focused prompting

Scene-focused prompting

Design-focused prompting

Abstract and experimental prompting

Chapter 4. Beyond text-to-image prompting

Removing background and resizing images

Remixing images: creating new scenes and characters

The Image-to-prompt-to-image technique

Blending images: creating new visuals through image fusion

Sketch to image: bringing hand-drawn ideas to life with AI

FAQ: Choosing the Right AI Image Generation Service

What are the main types of AI image generation service models?

The main types are Integrated Service Providers, Model-Focused Providers, and Aggregation Service Providers. Each offers different levels of control and user interaction.

Which AI image generation service is best for high-quality visuals?

Midjourney is known for producing stunning, highly artistic visuals, making it a top choice for high-quality image generation.

How can I create images using natural language prompts?

Services like ChatGPT with DALL-E and Google Gemini allow you to create images by simply describing them in everyday language, offering a conversational approach to image generation.

What should I consider for commercial usage of AI-generated images?

Adobe Firefly is designed for commercial use, ensuring that images are safe for marketing, publishing, and branding with proper licensing and rights.

Which service is suitable for embedding text in images?

Ideogram AI specializes in embedding accurate and attractive text within images, making it ideal for posters, social media graphics, and designs requiring clear typography.