AI Image Generator: Create Images from a Prompt

An AI image generator turns a text description or visual reference into a new still image. With Pipe2, open Image Generator, describe the result you want, choose the frame, and run the pipeline. A specific brief and a deliberate review usually matter more than piling on extra adjectives.

Generate an AI image in five steps

1. Define the job. Decide where the image will appear and what it must communicate. A product hero, character concept, editorial illustration, and vertical social post need different framing.
2. Write the prompt. Name the subject, setting, composition, style, and lighting. Include exact visible copy in quotation marks when the image needs text.
3. Add references when they have a purpose. Use them to anchor identity, shape, pose, color, or art direction. Do not combine references that ask for conflicting results.
4. Choose the aspect ratio and quality. Set the final frame before generating. Start with the economical quality option when exploring, then increase quality only for a composition worth keeping.
5. Generate, inspect, and revise. Check the whole frame at normal size and zoom in on faces, hands, product details, typography, reflections, and edges.

The pipeline accepts a prompt, reference images, or both and returns one generated image. Leave the model on Auto for routing based on the request, or choose a model when a documented capability matters. Model availability, reference limits, and credit estimates are shown on the pipeline and can change, so check them before each production run.

Control prompt enhancement and quality

For the teapot example below, start with a text prompt and no reference images. Choose 16:9 if the image is a wide header, then compare the credit estimate for the model and quality you select before running. Keep those settings fixed while revising the composition so you can judge the effect of each prompt change.

Enhance prompt is enabled by default. It can expand a short description before generation; turn it off when you want to send your own brief unchanged. A detailed prompt is a useful starting point for that approach. Enhancement does not guarantee correct lettering or faithful product details.

The quality choices are Auto, Fast, and HD, and their effect depends on the model. For Nano Banana 2, Fast requests 1K output while Auto requests 2K. Do not assume HD costs the same across models or fixes an incorrect composition. Check the estimate again after changing the model, quality, or references, and budget for revisions as separate runs.

Write a prompt like a visual brief

A useful prompt gives the model decisions it can actually render. Put the most important facts first:

• Subject: what is present, including defining materials, colors, clothing, or product details.
• Scene: where the subject is and which background elements matter.
• Composition: close-up or wide shot, camera angle, subject placement, and empty space.
• Style: photograph, editorial illustration, watercolor, 3D render, or another coherent medium.
• Lighting: soft studio light, overcast daylight, hard flash, golden hour, or another clear direction.
• Constraints: what must stay unchanged and what must not appear.

For example:

A cobalt-blue ceramic teapot on a pale limestone table, photographed at eye level as a clean editorial product image. Soft window light from the left, gentle shadow, warm cream background, generous empty space on the right, no text or logo.

That prompt describes one interpretable scene. A loose list such as “teapot, beautiful, premium, 8K, trending” leaves the composition unresolved and makes useful revision harder.

Use reference images without losing control

References are most useful when words alone cannot define the target. A product photo can anchor shape and color; a character sheet can anchor identity; a separate mood reference can establish palette or lighting. Tell the generator what each reference contributes and which details may change.

Avoid treating a reference as a silent instruction. Write something explicit such as: “Preserve the bottle shape and label colors from the reference; place it in a bright tiled kitchen; do not add new branding.” If several references disagree about the subject or style, remove the least important one before adding more prompt text.

The number and type of supported references depend on the selected model. Check the current model card rather than assuming every option accepts the same files. A reference guides generation; it does not guarantee exact identity, label text, or product geometry. If those details are essential, compare the result with the source before publishing.

Choose the frame before you generate

Use 1:1 for a square composition, 16:9 for a wide hero or presentation frame, 9:16 for vertical stories and short-form covers, 4:3 for a landscape editorial frame, and 3:4 for a portrait-oriented image. These are composition choices, not just export settings.

If you generate square and crop to vertical later, a face, hand, headline, or product may fall outside the useful area. State the intended placement in the prompt—such as “full body centered with space above and below”—and review the preview in the same shape as its destination.

Improve one variable at a time

When the first image is close, preserve the parts that work and make one focused correction. Change the camera angle, background, lighting, or one subject detail rather than rewriting the entire brief. This makes it easier to learn which instruction caused the improvement.

Use this review order:

1. Does the image communicate the intended idea at a glance?
2. Is the subject recognizable and correctly shaped?
3. Does the composition fit the destination without an awkward crop?
4. Are hands, faces, repeated objects, reflections, and edges plausible?
5. Is every visible word spelled and placed correctly?

Generation is probabilistic, so a good prompt can still produce a weak attempt. Do not hide defects with sharpening or upscaling. Revise the instruction or reference set and generate again.

Know when editing is the better workflow

Use Image Generator when the job starts with an idea and needs a new visual. If you already have the correct photo and only need to remove an object, replace a background, change a material, or restyle the scene, follow the AI image editor guide and use the editing pipeline instead.

If model selection is the main decision, the AI image generator comparison explains how to compare options with the same prompt, references, framing, and attempt count. Whichever route you take, judge the result against the final use—not against how impressive it looks in isolation.

Test any AI image generator on your own brief

Whichever AI image generator you are considering, test it on a scene you actually need instead of judging its gallery. Pipe2’s Image Generator serves as the example here, and the same routine works in any other tool.

Use the teapot prompt from above. Select the aspect ratio for your destination, and before you run, note the model, the quality, whether prompt enhancement is on, and the credit estimate. In another generator, note the equivalent settings and the price of one attempt.

Check the result against three requirements: the teapot keeps its recognizable shape, the light comes from the left, and the right side leaves room for your layout. Then change only the background instruction and run again. Use the same prompt, references, and frame in every tool you compare, and record the cost of both attempts. One attractive sample does not show what it takes to reach a usable image.

Two limits matter for the choice. This pipeline returns a still image; if you need motion, follow the image-to-video guide as a separate workflow. Also read the service terms and the model’s restrictions before you submit sensitive material, because no image generator accepts every request.