Guide to creating better AI images: 4 steps to writing effective prompts for beginners.

AI-powered image creation tools have developed at an incredible pace in recent years. With just a few lines of text, users can create entirely new images for work, study, or content creation. However, if you think that simply entering a short command will instantly produce a perfect image, you'll likely be quickly disappointed.

In reality, creating the exact image you envision in your mind requires more than a simple prompt. Even as AI models become increasingly intelligent, they still need clear instructions regarding content, style, and intended use.

If you frequently use AI to design illustrations for articles, presentations, marketing campaigns, or social media content, understanding how to work with image creation tools will save you a lot of time and reduce the number of times you have to recreate them from scratch.

Below is a four-step process to help you make more effective use of current AI image creation tools.

Step 1: Choose an AI image creation tool that suits your needs.

Not all AI image generators are suitable for every purpose.

The best choice depends on your budget, experience with AI, and the type of content you want to create. Many professional users now even use multiple models for specific tasks, as each platform has its own strengths.

If you're looking for a comprehensive tool, Google's Nano Banana models are currently highly regarded. These models are capable of creating impressively realistic images while also handling images with a lot of text well—a point where many other image generators still struggle.

A notable advantage is that Nano Banana integrates Google's SynthID technology, allowing for the addition of invisible watermarks to identify the AI ​​origin of images. Users can experience it for free through Gemini, while paid plans expand the possibilities for content creation.

For those already familiar with using ChatGPT daily, staying within the OpenAI ecosystem is a logical choice. The latest ChatGPT Images 2 model has significantly improved image creation capabilities compared to previous versions, while providing a seamless experience between chatting and image creation.

Meanwhile, Canva Magic Media is a suitable choice for beginners or those with little design experience. Its intuitive, easy-to-use interface allows users to quickly create images without needing to delve too deeply into prompts or graphic design techniques. Canva offers a number of free creations before requiring an upgrade to the Pro plan.

It's important to choose a platform that suits your actual needs rather than chasing the newest or most powerful tool.

Step 2: Write the prompt correctly.

The prompt is the biggest determining factor in the quality of images generated by AI.

An effective prompt should not only describe the main subject but also provide additional information about the context, artistic style, emotion, color scheme, and desired aspect ratio.

For example, instead of just writing:

"A cat is sitting on a chair."

Can you describe it in more detail?

"A golden-haired cat sits on a wooden chair by the window in the afternoon, soft sunlight filtering through the curtains, a cinematic style photograph with warm tones and high detail."

The difference between these two prompts often produces completely different results.

In addition to the main content, users should also include elements related to visual style such as:

1. Photorealistic
2. Cinematic (film)
3. Watercolor
4. Anime
5. Minimalist
6. Cyberpunk
7. Vintage

The clearer you describe your message, the easier it will be for the AI ​​to understand your intentions.

However, AI image creation tools have certain limitations to prevent the creation of illegal, abusive, or harmful content. For example, many platforms will refuse to create images directly related to celebrities or requests that risk being exploited.

One skill that's increasingly talked about in this field is prompt engineering – the art of constructing prompts to achieve desired results. The good news is that this skill is primarily improved through practice. The more you experiment, the better you'll understand how each model responds to different types of descriptions.

If you're unsure what to write, prioritize providing more detail rather than too little.

Step 3: Edit the image after creation.

Even the best AI tools available today rarely produce perfect results the first time around.

That's why post-image editing features are becoming increasingly important. Many platforms allow users to change specific details in an image, edit selected areas, or have AI recreate a portion of the content.

However, making too many edits can be counterproductive.

Through practical use, many people have noticed that when images are constantly edited, their overall quality often begins to deteriorate. Details can become distorted, unbalanced, or lose their original style.

In many cases, instead of trying to fix an image that has been "skewed," adjusting the prompt and creating a new one from scratch often yields better results.

This is also why post-processing capabilities are becoming one of the most important criteria when evaluating AI image creation platforms today. Some tools do this very well, while others are still quite limited.

Step 4: Clearly state the source of the AI ​​image.

As AI image quality increasingly approaches that of real-life photos, transparency regarding content origin becomes more important than ever.

Viewers need to know the difference between human-created content and AI-generated content. This is not only about transparency but also helps avoid unnecessary misunderstandings, especially in journalism, media, and content creation.

Many platforms now automatically add visible or invisible watermarks to identify images created with AI. However, these markings are not always easily recognizable.

If you share images on a website, blog, or social media, you should clearly state the tool used in the image description, caption, or alt text attribute.

For platforms like Facebook or Instagram, the system sometimes automatically labels content with AI. However, proactively adding annotations is still the best way to ensure transparency with viewers.

Creating images with AI today is no longer a matter of typing in a few keywords and waiting for results. To achieve the desired image, users need to choose the right tools, build effective prompts, know how to edit appropriately, and always be transparent about the source of the content.

AI has made the image creation process much more accessible, but the quality of the output still largely depends on how humans guide and use the tools. The better you understand how AI models work, the more time you save, the fewer rework attempts you can make, and the closer you can get to the original design.