How to Make AI Images in 6 Steps: A Practical Guide to Prompts and Tools

Creating an AI image requires only three things: an account with an AI image generator, a text prompt, and a few minutes to refine the result. No design software, drawing tablet, or artistic background is necessary, because the model handles composition, lighting, and rendering. The user's main task is describing the image clearly enough for the model to work with. A vague prompt such as "a woman working on a laptop" gives the model little direction, while "a professional woman working on a laptop in a sunlit home office, shallow depth of field, editorial photography" supplies a subject, setting, lighting condition, and style. Many generators run in web apps, and several offer free tiers, so beginners can test the process at no cost.

The process is nearly identical across tools. First, choose a generator based on factors such as edit control, commercial terms, cost, and whether text or reference images can be used as inputs. Second, write a prompt that describes the subject, setting, and style in one to two sentences, placing the most important details first because image models often weight earlier words more heavily. Third, if an existing photo or sketch is available, upload it and describe the desired transformation; this image-to-image approach offers more compositional control than starting from scratch. Fourth, generate several variations and compare them side by side, since most tools produce two to four images per prompt. Fifth, refine the closest result by adjusting the specific element that is off, such as the background, lighting, pose, or camera angle, rather than regenerating from a new prompt. Sixth, download at the required resolution and upscale before export if a larger format is needed. A first prompt rarely yields a perfect image, and treating the first generation as a starting point is normal practice.

The best tool depends on the factors that matter most to the user, including what happens to the image after generation. Runway offers its own models alongside third-party models such as Nano Banana Pro 2, GPT Image 2, and Seedance, and provides high edit control, a free tier with starter credits, and an image-plus-video workspace. Midjourney uses only its own models, offers strong editing tools such as inpainting, remix, and pan and zoom out, and has no free tier. ChatGPT generates images directly in chat with moderate conversational refinement, a limited free tier tied to the ChatGPT free plan, and no video. Gemini uses only Google's models, offers high conversational editing with subject consistency, has a free tier with daily limits, and generates video in the same app. For someone generating a first image, a free tier and a simple interface are a good starting point. For deadline-driven production, edit control and consistency matter more than raw quality, since most time goes into later iterations. For sets of images that must match, such as a campaign or character across scenes, reference-image support is essential.

Prompt quality is the largest factor separating a usable image from a generic one. A reliable formula combines subject, setting, style, lighting, and composition. The subject should include a defining detail, such as "a golden retriever" instead of "a dog." The setting anchors the scene, for example "beside a campfire in a mountain forest." The style tells the model which visual conventions to follow, such as "realistic photography." Lighting strongly shapes mood, as in "warm natural lighting at sunset." Composition controls focus and framing, such as "shallow depth of field, cinematic composition." A rough prompt like "a dog by a fire" can be refined into "a golden retriever sitting beside a campfire in a mountain forest at sunset, realistic photography, warm natural lighting, shallow depth of field, cinematic composition." Each added phrase removes a decision the model would otherwise make. When results miss the target, change one variable at a time, such as the lighting term, so the effect of each change is clear.

AI-generated images are used wherever teams need custom visuals quickly. Marketing teams produce product mockups and test visual directions through A/B testing without a studio shoot. Social teams create graphics sized and styled for specific posts instead of adapting stock photos. Film and advertising teams generate storyboard frames to communicate ideas before a shoot. Game studios produce concept art, such as multiple versions of an environment, to identify the best direction before building. Packaging and product designers create finished-looking product concepts so clients can respond to the design itself rather than the quality of a rough mockup.

Most major tools, including Runway, Adobe Firefly, and Canva, offer free tiers that cover a meaningful number of generations. Paid plans typically add higher-resolution exports, faster generation queues, more monthly generations, and access to newer or higher-fidelity models. Canva, for example, offers more than ten prebuilt style options with credit limits varying by plan. Commercial use terms differ by platform and plan, so users should review each tool's terms before using generated images in commercial work. Runway's terms cover commercial use across plans, including the free tier, but its usage policy prohibits using another person's image, video, or audio without permission. Users evaluating AI image generation should begin with a free plan and assess within a few prompts whether the tool's style and creative control fit their needs.

Design or drawing skills are not required, because the model handles technique and the user supplies a written description, reference photo, or both. Commercial use depends on each platform's terms, so the user should verify them before publication. Distortion is most common in accurate text rendering, complex hand positions, and scenes with many precise spatial relationships; for text, adding it in post-production is often faster. Text-to-image creates images from prompts alone, while image-to-image transforms an existing photo or sketch and offers more control over composition. Character consistency across images is possible on tools built for it, such as Runway, which maintains faces, costumes, and stylistic treatment across generations. ChatGPT can generate images in chat and refine them conversationally, though it offers less granular control, and changes such as adjusting lighting or swapping a background typically require regeneration.