What Is AI Art? How to Write AI Art Prompts? NadouPro Beginner's Guide: From Prompt Structure to Style Control

AI art is not as simple as "type one sentence and receive one image." It involves guiding visual ideas, using reference materials, modifying local details, choosing an image style, and judging whether the final result truly fits its intended use. Creative decisions always belong to the person using the tool; AI is responsible for quickly visualizing those decisions. This article starts with the concept, then explains prompt writing, reference image usage, and style selection all in one place.

What Is AI Art?

AI art refers to images created, transformed, or edited with the help of artificial intelligence. Depending on the workflow, an image may be generated from a text description, guided by reference images, or modified through instructions—changing the background, replacing objects, adjusting lighting, and extending the composition all count.

Common AI art outputs include illustrations generated from text prompts, new images transformed from reference images, product backgrounds and advertising concept images, character and scene designs, poster covers and social media visuals, edited images with changed colors and objects, and image series that share a subject or visual direction.

Two concepts should be distinguished here:

AI-generated art: The image is mainly generated from scratch by prompts or reference images, with the model producing a new image based on the visual request.

AI-assisted art: Starting from an existing image or design, AI is used to modify part of it—removing objects, changing the background, extending the frame, adjusting materials, or producing controllable variants.

In real projects, the two are often mixed: first generate concepts from scratch, then use editing capabilities to modify details, and finally move into layout or refinement. NadouPro's canvas covers the whole process: Text to Image produces concepts, Image Fusion handles references, image editing completes changes such as erasing, cutout, and repainting, style repainting handles overall style conversion, and everything is completed in the same workspace.

How AI Art Generation Works

AI image models are trained on massive amounts of images and associated information, learning visual patterns among subjects, environments, compositions, lighting, colors, materials, and artistic techniques. After a prompt is entered, the system parses the visual concepts described in it—the subject, scene, medium, perspective, lighting, color palette, mood, and composition—then generates an image that matches them.

A complete workflow usually has five stages:

1. The prompt defines the idea: The creator describes the image content and how it should be presented

2. The model parses the visual direction: It identifies requirements such as the subject, scene, style, composition, and lighting

3. The system generates candidate images: It produces one or more visual interpretations

4. References and edits guide the next round: Upload reference images, adjust the prompt, and specify areas to modify

5. The creator selects and refines: Choose the best result, then crop, color grade, or combine it with other designs

The first generated image is almost always a starting point, not a finished work. A rule of thumb: changing only one or two key variables each time leads to progress much faster than making one big change all at once.

How to Write Prompts: Structure Matters More Than Length

A good prompt gives the model a clear visual direction. It does not need to be very long, but it should include the elements that truly affect the image. A practical structure is:

Subject + action + scene + medium or style + composition + lighting + mood + use case + constraints

Take a typical scenario as an example. A prompt for a lifestyle advertising image could be written like this:

A red ceramic coffee cup placed on a wooden table in a coffee shop, shot from a three-quarter angle, soft morning window light, warm neutral tones, shallow depth of field, lifestyle advertising image, clean background, no text in the image.

In this prompt, the subject is the red ceramic cup, the scene is the wooden table, the composition is the three-quarter angle, the lighting is morning window light, the use case is a lifestyle advertisement, and the constraint is no text. The elements are complete without being wordy.

Two advanced tips:

Start with the core visual decisions. First define the subject and use case—product advertising, children's illustration, editorial imagery, and game concept art have completely different requirements for realism, detail density, and composition. "There is a modern chair in a room" gives far less direction than "a sculptural lounge chair in a minimalist living room, side view, soft afternoon light, beige tones, premium furniture advertisement, realistic materials, clean composition."

Describe visual attributes directly and use fewer vague adjectives. Words like "soft," "cinematic," and "professional" are difficult for the model to execute. Replace them with specific descriptions: soft diffused light, high-contrast shadows, low-saturation earth tones, delicate ink outlines, visible watercolor texture, symmetrical composition, low angle, clean studio background. Specific visual language is far more controllable than a long string of decorative adjectives.

Add constraints when high precision is required. Constraints state what must not change and what must not appear: keep the product shape unchanged, preserve the original background, no text, no extra objects, keep the character's clothing consistent, centered composition, unchanged color palette. Constraints are especially useful in editing and reference image workflows.

NadouPro also provides a structured way to control results: the Photo Parameters feature offers more than 300 preset combinations across four dimensions—Focal Length, Depth of Field, Color Science, and Lens Set. It works with GPT Image 2, Nano Banana Pro, and Nano Banana 2, upgrading lens language from text description to parameter selection.

How to Use Reference Images: Every Image Needs a Clear Role

Reference images carry information that is difficult to describe in words: a character's appearance, product details, a specific pose, material, color palette, composition, and overall artistic direction. When a project needs consistent character traits, recognizable product details, or multiple images sharing a color palette or composition, reference images should come into play. NadouPro's Image Fusion mode is the creative entry point built for reference-image guidance.

The core principle for using reference images is: each reference image needs a clear role. One image guides the character's appearance, one guides clothing, one guides the environment, one guides lighting and color, and one guides composition. Without role descriptions, visual signals from multiple references will conflict with each other.

Also remember two boundaries: reference images do not guarantee absolute consistency, and you still need to check details such as facial features, clothing, product proportions, text, shadows, and materials after generation; reference images also require checking the source of rights. For commercial projects, photos, brand materials, product images, and identifiable likenesses used as references all require confirmation that you own the rights or have authorization—using references to guide generation does not mean you have permission to copy protected materials.

How to Choose a Style: Serve the Purpose, Change Only One Variable at a Time

Style is not decoration; it should serve the purpose of the image. Soft watercolor illustration makes a community poster feel approachable, realistic studio renders are better for conveying product materials and positioning, clean flat illustration is often used for knowledge-based visuals, and rough concept sketches are suitable for exploring direction early in creation.

Before choosing a style, go through these questions: Who will see it? Where will it appear? What should viewers understand after seeing it? How realistic does it need to be? Does it need to match existing brand visuals? How much detail can still be preserved at the final size?

The style should match the audience: Content for children needs simple shapes and clear expressions; business presentations need restrained colors and orderly composition; social thumbnails need a focal point that remains noticeable on small screens; product images need realistic materials and accurate proportions.

Change only one style variable at a time: Keep the subject and composition unchanged, then compare soft light versus high-contrast light, watercolor versus 3D rendering, centered versus offset composition, and warm colors versus cool colors. Isolating variables lets you judge exactly which instruction changed the result, which is the fastest way for beginners to improve.

Typical Uses of AI Art

AI art is most valuable when rapid visual exploration can help a person or team make decisions. Match it to the scenario:

• Concept design: Characters, scenes, props, and mood boards; check whether the image communicates the design direction

• Marketing materials: Campaign concepts, product backgrounds, and advertising variants; check brand style and product accuracy

• Educational content: Illustrations, diagrams, and lecture visuals; check factual accuracy and readability

• Social media: Posts, banners, covers, and thumbnails; check small-screen readability and cropping

• Image editing: Change backgrounds, remove objects, and change colors; check lighting perspective and edge transitions

• Pre-production preparation: Storyboards, visual tests, and previews of campaign directions

• Internal communication: Proposal visuals, prototype diagrams, and presentation concept images

The starting method is always the same: first define what the image needs to communicate and where it will appear, then decide on the style, composition, format, reference images, and review criteria.

Common Questions

Q: I have absolutely no experience. What should I do first?
Start with a short prompt that has a complete structure: include the four elements of subject, scene, lighting, and style. After generation, compare the result with your expectation, find the gap, and regenerate by adding only one element each time. Learn to read the results first, then learn to write prompts.

Q: Are longer prompts always better?
No. Each element must truly affect the image to be worth writing into the prompt. Piling up adjectives only dilutes the key instructions. The criterion is: if you remove a word and do not care about the change in the image, that word is unnecessary.

Q: If the generated result is very different from what I imagined, where should I look for the cause?
Check in order: Is the subject description specific? Can the style words be directly executed (replace them with specific visual attributes)? Are any key constraints missing? Is the selected model appropriate—realistic needs and illustration needs suit different models, and the NadouPro documentation center has a quick capability reference for each model.

Q: Can AI art be used commercially right away?
It depends on three points: whether the platform's terms of use cover your commercial scenario; whether the rights to reference materials are clear; and whether the image involves someone else's brand, an identifiable real person, or misleading content. Deliver only after all three pass.

Q: How can I create a series of images with a consistent style?
Use three anchors: use Multi-Grid to produce finalized character and scene materials as anchor points; share the same set of reference images and color palette across all images in the series; manage the whole set of generation tasks together in the canvas so the visual direction is clear at a glance.

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Contains AI-generated information that may be incorrect. Please verify independently.