AI Image Guides for Prompting, Editing & Consistency

Focused AI image generation tutorials for GPT Image 2, Nano Banana, reference editing, product photography, text preservation, negative space, and consistent characters.

A practical path through AI Image

Strong AI image work separates the visual brief from the edit boundary. For a new image, define the subject, composition, camera, light, material behavior, and intended layout. For a reference edit, state what must remain unchanged before describing the single element you want to replace, remove, restyle, or reposition.

The guides in this hub cover two common production needs. Product and advertising workflows need stable geometry, controlled reflections, readable packaging, and deliberate negative space. Character workflows need a clear identity anchor, a compact list of fixed traits, and small scene changes that can be reviewed before moving to wider poses or animation.

Treat every approved image as production evidence. Keep the prompt, reference, output, and review notes together. Reuse the parts that worked and modify one axis at a time. This makes GPT Image 2 and Nano Banana workflows easier to diagnose and helps a visual system stay coherent across campaigns, scenes, and formats.

AI Image questions creators ask

When should I use a reference image?

Use one when identity, packaging, layout, style, or composition must survive the edit. Choose a clean reference where the details you care about are easy to inspect.

How can I preserve product labels and generated text?

Keep copy short, specify its exact location, protect the existing label when a reference is available, and review spelling and line breaks at full resolution. Add final production typography separately when accuracy is critical.

How do I keep a character consistent across scenes?

Start from a readable identity anchor, record a short list of distinguishing traits, change one scene variable at a time, and build a continuity sheet from approved images.