AI Image Generator

An AI image generator is a model that creates original pictures from a written description. You type what you want — a product on a clean background, a poster for your event, a character for your game — and the model produces several variations in seconds. It is the fastest way to go from idea to image, and it scales: once you have a prompt that works, you can regenerate endless versions.

Visual Maker AI combines image generation with editing and image-to-video so the same prompt can become a still, a refined edit, or a short animation without leaving the app.

1. Write a prompt (or grab one from the prompt library).
2. Pick a model and aspect ratio for your use case.
3. Generate, then refine with follow-up edits or variations.
4. Download and use it anywhere.

• Marketing visuals, ads and social posts
• Product mockups and packaging
• Illustrations, 3D characters and concept art
• Stock-style photography and portraits

Model choice is a production decision, not a badge. Seedream 5.0 Pro is well suited to work that needs controlled composition, reference-led consistency, and local corrections. It offers 1K and 2K settings in Visual Maker AI, so use 1K while testing a campaign idea and move to 2K when a chosen composition needs finer detail. Its reference workflow is especially useful for a product, package, character, or layout that should remain stable across variations. An AI image generator from text is most useful when those settings match the asset’s final placement.

Nano Banana 2 is an alternative when you need quick variations or delivery at 1K, 2K, or 4K. GPT Image 2 lets you pair those output sizes with Standard, Medium, or High quality. Begin at the lowest usable setting, decide whether the subject and hierarchy are right, and only then create the high-resolution version. That sequence keeps prompt exploration fast while reserving higher-cost rendering for assets worth exporting.

Choose format before writing the final line of the prompt. A 9:16 layout asks for a vertical social story, 16:9 leaves room for a video thumbnail or hero banner, and 1:1 works for square social posts and catalog tiles. State where copy will sit: “subject in the lower third, clean sky in the upper third for headline” is clearer than asking for generic negative space.

A useful AI image generator brief has six parts: subject, setting, viewpoint, lighting, art direction, and constraints. For instance, "Electric bicycle against a tiled studio wall, low three-quarter angle, soft side light, contemporary editorial product photography, blue and silver palette, no rider, 16:9." The prompt says what belongs in frame and what must not distract from it. Avoid replacing those instructions with vague quality words alone.

Review each draft methodically. First check that the central object is accurate; then inspect the crop, pose, light direction, and materials. If only one property is wrong, alter only that phrase in the next prompt. A request such as “camera closer, product fills two-thirds of the frame” is easier to evaluate than a wholesale rewrite. Keep the successful version as the baseline for later campaign variations.

When a reference matters, upload it and describe its role. Use a product photo to lock the object, a material reference to guide the surface, or a composition reference to establish the framing. For a local edit, mark the exact area and say what remains fixed. This turns a promising initial image into a controlled design workflow instead of a sequence of unrelated generations.

• Name a concrete style (e.g. "risograph poster", "85mm portrait").
• Add lighting and mood words ("soft window light", "cinematic").
• Specify the aspect ratio up front to avoid cropping later.
• Iterate: regenerate with small tweaks instead of one big rewrite.

Before downloading a final image, inspect it at the intended display size and at full size. At the display size, ask whether the subject reads instantly, whether the crop leaves enough space for campaign copy, and whether the light directs attention to the right place. At full size, check hands, logos, labels, repeated patterns, edges, and any small text. These details are easier to correct in the generator than after an image has been placed in an ad or landing page.

When the draft is almost correct, choose the smallest possible intervention. A marked local edit can replace a label, simplify a background object, or correct a material while preserving the approved camera angle and visual direction. When the image has the right idea but the wrong composition, keep the original prompt and add one concrete framing instruction. This creates an auditable iteration history and keeps a useful creative direction from being lost during trial and error.

For a set of related assets, keep one approved prompt as the master brief. Change the product color, headline space, or format one at a time, and keep the camera, light, and styling language stable. The result is a coherent visual system for ads, product pages, social posts, and presentation slides rather than a collection of images that happen to share a subject.