How to Correctly Generate Images Using AI

We’ve all been there; we’ve asked ChatGPT to generate a picture of a penguin in Hawaii cooking tacos in front of tourists. And it got the sizes, colors, or theme wrong. Maybe the images that come out of AI are too dull, bland, and generic. Sometimes they’re too cartoony. 

Anyone can tell those images were baked by AI. They lack a personal touch.

And that is key.

If you are new to AI image generation, you’ve come to the right post. There are right and wrong ways to harness this technology. We’ll tell you more below.

What is an AI Image Generator?

An AI art generator or image generator is a tool that creates pictures based on input using artificial intelligence. Think of it as a robot artist: you describe what you want, and the AI paints it for you. These generators are powered by advanced machine-learning models trained on millions of images. 

They analyze patterns in those images and learn how to generate new images from scratch that match a given description (or sometimes mimic a given style). 

Most AI art generators today use deep learning techniques to produce results. Some popular behind-the-scenes models include diffusion models and GANs (Generative Adversarial Networks). 

They’ve been trained on substantial visual datasets, so they have a vast “imagination” to pull from. 

Why Generate Images with AI?

Why bother using an AI to make images, you ask? There are many great reasons to use an AI image generator instead of (or alongside) traditional methods. Here are a few big ones:

• Speed and Convenience: AI image generators can create a picture in seconds. If you need a quick blog graphic or social media graphic, describe it and get results instantly. No more waiting days for a photo shoot or an artist’s sketch. 
• Cost-Effective Creativity: You can create visuals without the expense of cameras, studios, or art supplies. In short, it reduces costs by cutting out many traditional fees​.
• Endless Customization: AI lets you create particular and unique images tailored to your needs. Want a purple cat playing the guitar under moonlight in Van Gogh’s style? Sure! You’re not limited to what’s available in stock libraries. This level of personalization ensures your visuals fit your exact vision or brand identity​.
• Unlimited Variety and Scalability: With AI, you can generate countless variations of an image or concept. This is great for brainstorming and prototyping – you can tweak prompts and instantly see different results. Need 50 concept sketches of a logo? No problem. 
• No Drawing Skills Required: You don’t need to be good at drawing or have graphic design skills to get a pretty image. 
• Quick Edits and Iteration: If the image isn’t exactly what you want, you can tweak your prompt or settings and try again within minutes. 

Mistakes Everyone Makes When Generating Images with AI

There are fundamental errors people make when using an AI image generator. First and foremost, know that every AI is an LLM that’s trained on visual datasets. This means the images it generates will be based on its visual library knowledgebase. 

Here are some mistakes everyone makes these days. Watch out for these:

• Being Too Vague with Prompts: Simply typing a one-liner like “a house” and hitting generate will likely give you a very generic image. One big mistake is not providing enough detail in the prompt. The AI can only work with what you tell it. If your description is too broad or vague, you’ll get unpredictable or bland results. Always add more context (colors, setting, style, etc.) to guide the AI.
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• Writing Overly Complex Prompts: On the flip side, dumping a convoluted paragraph without structure can confuse the AI. Long, run-on sentences or ambiguous phrasing might cause the model to misinterpret what you want. Keep prompts clear and concise. It helps to break complex ideas into a list of attributes or separate sentences. If the AI seems “lost,” simplify your request.
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• Ignoring the AI’s Limitations: Many newbies assume that AI can do anything. In reality, current AI image generators struggle with certain things – for example, generating readable text within an image, or rendering human hands correctly. If you ask for something that the AI’s known to fumble (like lots of text on a sign), you might be disappointed. It’s not your fault, but it’s a common mistake to expect perfection in those areas. (Later on, we’ll mention a tool that handles text in images better!). The key is to be aware of what your chosen AI is good or bad at and adjust your expectations or prompts accordingly.
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• Not Specifying an Art Style or Reference: If you don’t specify a style, the AI will generate whatever it thinks is standard, which might look generic. Many users forget to mention if they want a photo, a painting, a 3D render, an anime illustration, etc. Not giving a style cue is a missed opportunity and a common mistake – it can make the difference between a bland outcome and a stunning one. Always consider adding a style or reference (e.g. “in the style of watercolor” or “Pixar-like cartoon”) to elevate the result.
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• Giving Up After One Try: Another mistake is not iterating. Users often try one prompt, get a mediocre image, and conclude that the AI “didn’t get it.” In practice, you may need to refine your prompt or try a couple of different phrasings. Sometimes adjusting one word or adding a new detail can dramatically improve the result. Don’t be afraid to generate a few rounds of images and hone in on what you want – it’s all part of learning how to use AI image generator tools effectively through trial and error.

Writing Effective Prompts for AI Image Generation [+Examples]

Using lengthy and complex sentences can make it confusing for the AI to understand you. You need to punctuate your sentences. Use commas, colons, proper nouns, and title cases where needed.

A good idea when it comes to picking colors for images is to tell AI what color palettes you’d like to use. You can mention color codes and break down stylistic details for accurate results.

For example: “Generate me a picture of a sun.”

This prompt is too vague.

A better prompt would be: “Generate me a photo of the sun rising at 7 am. The location is New York. Use bright colors and consider the temperature of the day. Create a real-life photograph and render me 4 different views.”

In our revised prompt, we are painting a scene by telling the AI what we want. Adding details to your prompts always works.

If you want to generate photos of lions, don’t just say you want lions. Mention the breed, surroundings, textures, mood, emotions, and more.

Here are some good examples of other subjects:

• Rustic coffee table with four legs, brown and shiny
• A sketch of a Commando Officer in red
• Image of an Asiatic lion with thick fur in an Amazon rainforest

Proper nouns (like “Eiffel Tower” or “Mona Lisa”) can invoke very particular images that the AI has seen during training. Similarly, adjectives like majestic, neon-lit, vintage, and futuristic help convey the exact vibe. Don’t shy away from expressive adjectives – they are your friend in adding flavor to the image.

Sometimes it helps to write your prompt like bullet points (even if you type it in one line). For example: “A medieval castle on a hill, surrounded by fog, realistic painting, dim lighting, high detail.” This kind of structured description covers different aspects and is easier for the AI to parse than a long rambling sentence.

Experiment with Art Styles 

Another powerful trick is to emulate famous art styles or artists in your prompt. AI image generators have often been trained on artwork spanning centuries of art history, which means you can ask for images in the style of various artistic movements or specific creators.

For example, you could prompt: “A portrait of a woman reading a book, in the style of Vincent van Gogh.” The AI would likely produce an image with bold brushstrokes and swirling colors reminiscent of Van Gogh’s paintings. Similarly, “a surreal landscape of melting clocks, in the style of Salvador Dalí” would invoke Dalí’s famous surrealism vibes (melting clocks and all!). If you love the bold colors and abstract shapes of Picasso, you might say “generate an image of a guitar player in Picasso’s Cubist style.” The result could look like a Cubist painting.

You’re not limited to classical artists either. You can reference modern styles or pop culture art. For instance: “A superhero cityscape drawn in the style of a 1990s comic book” or “A futuristic skyline, digital art trending on ArtStation” – the latter prompt taps into contemporary digital art trends (ArtStation is a website where a lot of concept art is shared, and AI models often picked up that aesthetic).

By experimenting with art styles, you unlock a whole new level of creativity. Here are a few style ideas to try in your prompts:

• Historical art movements: e.g. Renaissance painting, Baroque style, Impressionist style (Monet-like), Abstract Expressionism.
• Famous artists: e.g. “in the style of Van Gogh”, Dalí, Picasso, Frida Kahlo, Hokusai (Japanese woodblock style), Andy Warhol (pop art).
• Medium or technique: e.g. watercolor, oil painting, pencil sketch, charcoal drawing, 3D render, claymation figurine, pixel art.
• Modern and pop culture styles: e.g. Studio Ghibli style, Disney/Pixar style, comic book style, street art mural, sci-fi concept art.

The Best AI Image Generators in 2025 (and Why)

Here are five AI art generators for image creation you should watch out for in 2025:

1. Midjourney 

Midjourney is known for producing stunning, highly detailed, and artistic images. Many outputs from Midjourney are so polished that they look like professional artworks or realistic photos. Midjourney’s images are often “indistinguishable from real-life still photos”​ in terms of cinematic quality. 

It’s a favorite among digital artists and creators who want top-tier visuals. Originally, Midjourney was used through a Discord server (you’d input prompts in a Discord chat), but it now also has a more user-friendly web interface. 

2. OpenAI DALL·E 3 

Developed by OpenAI (the folks behind ChatGPT), DALL-E was one of the first AI image generators to capture the public’s attention. The latest version, DALL-E 3, is greatly improved and now integrated into various platforms (like Microsoft’s Bing Image Creator and even ChatGPT for premium users). 

DALL-E 3 is very easy to use – essentially, you just type in your prompt and it generates an image at 1024×1024 resolution by default​. 

4. Adobe Firefly 

Adobe Firefly is Adobe’s entry into AI image generation, and it has quickly become a powerhouse, especially for professionals. 

It offers unique features like the ability to specify camera angles and lighting more finely, and it integrates with Adobe’s other products (Photoshop, Illustrator, etc.). For example, in Photoshop you can use Firefly for the “Generative Fill” feature to extend or edit images simply by typing what you want.

Other AI Image Generation Prompts and Tricks

You can up your image prompting game. Here’s how:

• Use Negative Prompts (if available): Some AI generators (like Stable Diffusion-based ones) allow you to specify things you don’t want in the image. These are called negative prompts. For example, if you’re generating a portrait and keep getting glasses on the person by accident, you could add “glasses” in the negative prompt field to tell the AI to avoid that. 
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• Adjust Aspect Ratio and Composition: Many tools let you set the aspect ratio (e.g., --ar 16:9 in Midjourney for a widescreen image). Don’t always stick to the default square. If you need a banner image, use a wide aspect ratio; for a phone wallpaper, use a tall ratio. You can mention “portrait orientation” “close-up shot” or “wide angle view” to influence how the scene is framed. 
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• A lot of AI image generators allow you to input an existing image as inspiration (this is sometimes called image-to-image or just using an image URL as part of the prompt). Using this, you can guide the AI with a reference picture. For example, you could feed in a rough sketch or a photo, and the AI will try to create something similar in style or composition. You can enhance your photos with text prompts.
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• Iterate and Remix: Don’t hesitate to run multiple generations and then mix and match ideas. Maybe one prompt gave you the perfect background but another gave a better subject. You can use editing tools or even some AI features to combine them (for instance, using an editor like Photoshop with generative fill, or a collage approach). Some AI tools also allow you to retry the same prompt to get different outputs, or even blend two prompts (Midjourney has a “/blend” command to merge two images). Exploring these can yield unique results that a single prompt alone might not produce.
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• Use the Community and Pre-made Prompts: Many AI image generator communities (on Discord, Reddit, etc.) share cool prompts that work well. If you see an image someone made and they’ve shared the prompt, you can learn from it or even use it as a starting point. Some websites list prompt ideas.

Conclusion

AI image generators have revolutionized the way we create visuals. As we’ve seen, knowing how to use AI image generator tools correctly can make the difference between a forgettable, machine-made picture and an eye-catching masterpiece. 

Writing a good prompt is like writing a recipe for the image you want. The more you tell the AI what you envision (with details, style, etc.), the closer the result will match your idea. This is the heart of how to use AI image generator technology – it all starts with the prompt.

Let’s not forget those extra tips like negative prompts, style emulation, and other tricks. These can elevate your results from good to amazing once you get the hang of the basics.