How to Generate AI Art: Step-by-Step Techniques
Generating AI art has moved from an experimental curiosity to a practical creative tool. Instead of mixing paints or mastering software, you can start with words and receive a finished visual in seconds. The driving force behind this process is the text prompt, a short description that tells the AI what to create. With the right prompt, a suitable style and a reliable platform, anyone can produce striking artwork for personal enjoyment, storytelling or professional projects.
This article explains the step-by-step techniques used to generate AI art. It looks at how these tools function, which features matter, and how to approach the creative decisions that shape the final output. The aim is to help you build a repeatable process rather than relying on luck.
What Does It Mean to Generate AI Art?
AI art generation is the practice of creating visual content from a text description using machine learning models. You type a description into an online tool, choose a style or model, and the system produces an image based on your words. Many services work in seconds, returning something that can be used as a finished piece, a mock-up or a starting point for further editing.
Text-to-image tools are built for people at every skill level. Microsoft describes its image creator as a way to enter a text description and generate visual content for storytelling, graphic design and advertising. Craiyon states that its generator transforms your text into unique images in seconds, and the platform offers both free and paid tiers. This focus on simplicity is one reason why AI art has been adopted so quickly by designers, marketers and hobbyists.
The Text Prompt Is the Real Canvas
Your written prompt carries the most creative weight. A prompt can be a basic description such as “a dolphin surfing a wave on a bike using a phone with a hat on”, to borrow an example style used by DeepAI. It can also be more targeted, describing an art style, lighting, mood or composition. The tool then interprets that language using its underlying models.
Prompting is also an iterative skill. Many generators immediately interpret the same phrase in several different ways, which encourages experimentation. Adjusting the wording, adding descriptors or changing the style list can produce noticeably different results. Over time, you learn how to speak the visual language of the machine.
Step-by-Step Techniques for Creating AI Art
The basic workflow is consistent across most platforms. You write a prompt, choose settings, generate an image and then refine it. The following steps break down that workflow in more detail.
Step 1: Choose a Platform
The platform you select determines the models available, the style quality and the features you can use. Common options include Adobe Firefly, which asks you to type a prompt and choose a style, and Canva’s Magic Media tool, which turns text into art by letting you pick from different looks. NightCafe offers a text-to-image generator where you write a prompt and choose a model.
Some services have wider scope. OpenArt brings more than 100 models together in one place, including models from Google, OpenAI and Seedance, and supports image, video and audio generation. Dream by WOMBO advertises 100 or more curated styles, custom aspect ratios and high-quality outputs, and is free to start. If you plan to create video or music alongside images, a multi-format platform such as OpenArt may be the more convenient starting point.
Step 2: Write a Clear, Detailed Prompt
Begin with the subject of your image. Be specific about what appears in the frame, the environment around it and the mood you want to capture. The AI will treat every meaningful word as a potential visual element, so clarity works in your favour.
You can add descriptive terms for lighting, texture and composition. Some tools provide suggestion buttons or a “Surprise Me” option to help when you feel stuck, as seen in Dream by WOMBO. If the first result misses the mark, rephrase the prompt. A good prompt is often built through several short revisions rather than a single attempt.
Step 3: Choose an Artistic Style
Style selection is one of the clearest ways to steer your output. Many platforms include predefined style presets. DeepAI, for example, lists photorealistic, watercolour and cyberpunk among its options. Canva’s AI tool shows choices such as digital, anime and concept art. Adobe Firefly also lets you choose a style after typing a prompt.
If a platform offers curated styles, browse them before generating. A photorealistic style suits product concepts and portraits, while anime or concept art looks more suited to character design and worldbuilding. The AI model you choose can matter as much as the style label, particularly on platforms such as NightCafe where multiple models are available for selection.
Step 4: Set the Format and Aspect Ratio
Composition is decided partly by the canvas. Some generators allow you to set a custom aspect ratio before you start. Dream by WOMBO, for instance, offers options such as 1:1, 9:16, 16:9, 3:4 and 4:3. A wide 16:9 canvas suits landscapes and presentations, while a 9:16 vertical format works for social media stories and posters.
Setting the ratio early is important because you generate in that format from the beginning. Reshaping an image afterwards usually means cropping away part of the composition, which you may not want. If your platform supports the feature, decide the dimensions and orientation before writing the final prompt.
Step 5: Use a Reference Image When Needed
Not every AI art workflow begins with an empty canvas. Several platforms let you start from an existing image. Leonardo.ai describes its tool as able to create artwork from text or from images, giving you control over composition and visual consistency. Dream by WOMBO includes an optional reference image upload field in its generator.
Adobe Firefly offers similar flexibility through dedicated features such as “Generate Image from Image”, “Generate Image from Sketch”, and portrait and headshot generators. These tools can copy the composition of a drawing while changing the finish, or turn a rough sketch into a rendered illustration. If you want to preserve a particular pose or layout, a reference image often performs better than a long written description.
Step 6: Generate, Review and Iterate
Once the prompt, style and format are set, press the generate button and review the result. There will usually be several variations to choose from, and you can refine the prompt and generate again. Repetition is an accepted part of the technique; most artists will generate many images before they find the one they wish to keep.
Some platforms provide more advanced iteration tools while continuing to generate. Others include options to adjust the prompt length or to generate progressively more detailed images. Whatever the interface, the creative loop stays the same: generate, identify what works, adjust the language or settings, then generate again.

Freely Accessible Options and Premium Features
One reason AI art has become widespread is the range of free access available. DeepAI advertises image creation that is instant and free, with no sign-up required for entry. Dream by WOMBO describes itself as free to start and offers more than 100 curated styles. Craiyon also welcomes newcomers with a free tier while offering paid options for additional features.
Premium layers often exist for users who raise their ambitions. DeepAI states that its Pro members get access to HD, Genius and Super Genius modes, with Super Genius supporting ultra-high-resolution 2K and 4K images. The standard tier may be perfectly usable for sketching ideas, while a paid tier becomes relevant when you need sharpness and detail for larger outputs.
Because platforms structure their free and paid access differently, their current terms should be checked before you commit. Plans can change, and a tool that is free today may limit certain features tomorrow. The sensible approach is to test the free layer first and upgrade only if the results justify it.

Finding Inspiration with Styles and Surprise Modes
Creative block is common even with powerful software at hand. This is where curated styles and randomisation features prove their value. A style such as cyberpunk, watercolour or anime gives the output an immediate artistic identity, whereas opting for digital or concept art can provide a more neutral starting point.
When you have no clear direction, try the “Surprise Me” style found on some platforms. The generator effectively selects the style for you, which can lead to combinations you never would have expected. You can treat the resulting image as a finished experiment or as a visual brief for the next prompt you write.
Practical Uses for Generated AI Art
AI-generated images support far more than decorative purpose. Microsoft highlights storytelling, graphic design and advertising as natural use cases for text-to-image output. A short story can gain a cover image, a brand mockup can show a product in an impossible setting, and a social media campaign can be visualised without a photoshoot.
Multi-format platforms extend the same idea beyond still images. OpenArt’s suite includes tools that can direct multi-scene short films, create music videos and cut film trailers with AI, as well as generating audio. Video creation tools typically start from a text script or storyboard, so the mental model from image generation carries over.
For working artists, generated images can feed directly into a wider practice. They can be used as references, merged into a collage, or printed and sold. The creative process becomes a collaboration between your written intent and the model’s interpretation, which is a different kind of authorship but authorship nonetheless.

Frequently Asked Questions
Do I need to pay to generate AI art?
No. Several platforms are free at the point of use. DeepAI advertises instant, free image generation with no sign-up required, Dream by WOMBO is free to start and Craiyon offers a free tier alongside paid options. Costs usually appear when you want higher resolutions or extra features. For example, DeepAI restricts its 2K and 4K Genius modes to Pro members, so the free layers are best treated as a generous starting point.
Do I need drawing skills to generate AI art?
You do not need traditional drawing or painting skills to create compelling AI art. The process is language-based: you enter a text prompt, pick a style and let the software handle the image rendering. Tools such as Adobe Firefly and Canva’s Magic Media are structured around typing and choosing presets. Visual ability still helps when you refine results or judge composition, but the machine does the drawing for you.
Can I start from my own image or sketch?
Yes, on many platforms. Leonardo.ai lets you create artwork from text or from your own images, and Dream by WOMBO offers an optional reference image upload. Adobe Firefly has separate features for generating from an image, from a sketch, and for generating portraits or headshots. Working from an image is useful when you want a specific pose, layout or level of likeness that is hard to describe with words.
Which AI art platform is best for beginners?
The best choice depends on your goals. Dream by WOMBO presents 100 or more curated styles and custom aspect ratios, which keeps the options manageable. Craiyon is straightforward for quick text-to-image experiments. If you want variety under one roof, OpenArt brings together more than 100 models from providers such as Google, OpenAI and Seedance. Beginners should try two or three free services and adopt the one whose interface and output they prefer.
Generating AI art is a skill refined through practice. The technology changes quickly, but the underlying process remains constant: write a thoughtful prompt, select the right style and format, then generate and refine until the image matches the idea in your head. Start with a free tool, experiment with different wording and styles, and let each output guide the next prompt. In time you will develop an instinct for what produces the artwork you want.
