Define the camera
Shot type, angle, crop, and aspect ratio reduce ambiguity faster than extra adjectives.
Independent Prompt Guide
GPT Image 2
GPT Image 2 prompts work best when they read like compact visual briefs. This guide turns rough ideas into image-ready instructions with examples, workflow notes, and reusable prompt structure.
- Prompt structure that stays compact
- Examples for editorial, product, portrait, and worldbuilding
- Independent resource, not an official OpenAI property
What to Expect
Use GPT Image 2 like a visual brief, not a word dump.
The best prompts usually combine five ingredients: subject, framing, lighting, material cues, and output intent. This page organizes those pieces so you can move from vague idea to production-ready prompt without over-explaining.
Name the material world
Surface, texture, and lighting cues create believable images with fewer revisions.
Bias for intent
Editorial, commercial, portrait, and concept prompts each need different visual priorities.
Prompt Lab
Start with a compact formula, then borrow a direction.
Showing 4 prompts
Prompt formula: subject + composition + lighting + material + mood + output intent
Editorial
Magazine spread opener
Create an image with strong pacing, graphic contrast, and room for type.
architectural magazine opener, quiet brutalist hotel atrium, low morning sun through ribbed glass, controlled wide frame, tactile concrete and brushed steel, restrained lime and coral accents, luxury editorial finish
Product
Glossy launch still
Useful when you want a premium object shot with surface detail and controlled reflection.
premium skincare bottle on smoked glass plinth, macro product photography, cool cyan rim light with warm coral kick, crisp condensation beads, dark studio background, high-spec advertising image, front three-quarter angle
Portrait
Character portrait with atmosphere
Lead with face, attitude, and environment instead of stacking style names.
close portrait of an art director in a dim reference library, calm eye contact, soft cyan side light, warm paper reflections on skin, shallow depth of field, textured wool jacket, cinematic but grounded realism
Worldbuilding
Speculative scene frame
Keep the scene legible by anchoring it with one camera decision and one material story.
future tram station carved into coastal cliffs, long cinematic frame, wet basalt textures, pale foam drifting through the air, signal lights in lime and coral, believable transit signage, polished concept art realism
Workflow
Three passes are usually enough.
Lock the frame
Decide portrait, square, or widescreen first. Add lens distance or crop if it matters.
Describe the surfaces
Glass, paper, metal, skin, fog, velvet, and concrete all give the model better traction than generic style words.
Trim the extras
After one good result, remove redundant adjectives and keep only the instructions that changed the image.
Marketing mockups
Product hero shots, ad concepts, seasonal promos, and launch art.
Editorial covers
Strong compositions with clean type room and visual hierarchy.
Portrait systems
Character direction, wardrobe cues, and environmental mood boards.
World frames
Scene building for games, films, speculative products, and concept decks.
FAQ
Common questions about GPT Image 2 prompting.
What is GPT Image 2 useful for?
It works well for image concepts that benefit from clear subject, lighting, and composition cues: ads, product visuals, portraits, editorial artwork, and speculative scenes.
How long should a prompt be?
Usually one compact paragraph is enough. If the image quality stalls, change the structure before adding more adjectives.
Should I mention aspect ratio and shot type?
Yes. Those are often more helpful than extra style references because they change composition immediately.
Is this site official?
No. This is an independent guide for prompt structure, examples, and workflow notes around GPT Image 2.