Natural chatUsers describe the goal in plain language, while the AI keeps asking only the next question that matters.
Live promptEvery reply updates a working draft, so the user can see the prompt becoming more production-ready in real time.
Direct handoffOnce the prompt feels right, it can be copied or sent straight into `/generate` without rework.
Stop Guessing At The First PromptMost unsatisfying image results do not come from weak models. They come from vague intent. This page helps users unpack what they actually want before spending credits on generation.
Turn Fuzzy Ideas Into Actionable LanguageInstead of one giant textarea, the flow asks about subject, style, mood, composition, light, and constraints step by step, so prompt quality improves naturally during the conversation.
Move Straight Into GenerationOnce the final prompt is ready, users can copy it or send it directly into the current `/generate` workflow, which keeps the page useful instead of becoming a dead-end prompt helper.
1Clarify The Visual GoalStart with the image purpose: product shot, portrait, poster, social content, concept art, or another creative target. This prevents the prompt from drifting in the wrong direction.
2Fill In The Missing Visual DecisionsThe chat then narrows style, atmosphere, composition, and lighting. Users do not need prompt-engineering knowledge; they just answer concrete creative questions.
3Generate With A Cleaner PromptThe system turns the conversation into a concise, more production-ready prompt that can be copied or sent into the image generator immediately.
Brand Poster Copy A clean ad-style prompt shaped from business intent, subject focus, and layout direction.Create a premium skincare brand poster featuring a frosted glass serum bottle centered on a soft beige stone surface. The style should be minimal, clean, and high-end commercial photography. Keep the mood refined, restrained, and trustworthy. Use a vertical poster composition with clear headline space. Light the scene with soft side backlight and a subtle rim highlight. Emphasize transparency, metallic details, and realistic shadows. Avoid cluttered props, oversaturated color, cheap e-commerce styling, and text watermarks.
Cinematic Portrait Copy A people-focused prompt with stronger emotion, depth, and storytelling cues.Create a cinematic female portrait of a young woman in a dark trench coat standing on a lightly rainy street at night. The style should feel realistic, restrained, and like a film still. Keep the mood quiet, slightly distant, and story-driven. Use a half-body composition with the subject slightly left of center and visible environmental depth. Light the scene with mixed neon reflections and streetlight color contrast. Emphasize humid air, facial structure, rim light on the hair, and soft background bokeh. Avoid stiff expressions, plastic-looking skin, deformed hands, and messy backgrounds.
Social Visual Copy A creator-friendly prompt with quick conversion and mobile-first composition in mind.Create a social-media-friendly healthy breakfast scene featuring a neatly arranged oatmeal bowl, coffee, and fresh fruit. The style should be bright, healthy, and lifestyle-oriented. Keep the mood light, morning-like, real, and approachable. Use a top-down composition that also leaves room for mobile-first text placement. Light the scene with natural morning window light. Emphasize food texture, soft steam, and layered tabletop details. Avoid over-retouching, distorted colors, unrealistic food proportions, and distracting clutter.
Why do users often get disappointing AI images?The issue is usually not only the model. Many prompts skip key creative decisions such as framing, lighting, mood, visual focus, and what should be avoided. A guided chat closes those gaps before generation starts.
What makes this page different from a normal prompt textarea?A single textarea assumes users already know how to describe images like a prompt engineer. This page asks a few focused questions in sequence, which is easier for most users and produces more stable prompts.
Can users still write their own custom answers?Yes. Each step supports free-form input, so the flow can handle both quick choices and highly specific visual requests. The prompt is built from the latest answers rather than forcing preset templates only.
How does the final prompt get used?Users can copy the final prompt immediately, or click one button to carry it into the current `/generate` page. That keeps the experience connected to the existing image generation flow.