Goal: Create a clean comparison graphic showing three AI-generated urban billboard photos side by side, as if comparing image model outputs. Canvas: Wide 16:9 presentation slide with a warm off-white background and generous margins.
Fields you can change: left model label, center model label, right model label, left quality tag, right quality tag.
Full prompt
Goal: Create a clean comparison graphic showing three AI-generated urban billboard photos side by side, as if comparing image model outputs.
Canvas: Wide 16:9 presentation slide with a warm off-white background and generous margins. Place three tall vertical photo panels evenly spaced across the canvas, each framed by a pale beige mat/border. Under each panel, add a centered caption.
Layout: Exactly 3 vertical street-photo panels in one row. Panel 1 on the left, Panel 2 in the center, Panel 3 on the right. Each panel shows a realistic New York City street scene with parked cars in the foreground, tall buildings, sidewalks, traffic signs, and a large square billboard mounted high on a building. Use slightly different street angles and lighting in each panel, like three separate model outputs of the same concept.
Panel details: Left panel: a rear view of a black SUV parked on a city street, looking toward storefronts and buildings; a large white billboard above the street reads like a social-media quote card with a small circular animal avatar, the heading “What do you think?”, a short quote, and small ChatGPT branding. Center panel: a black SUV parked on a narrow Manhattan street with the Empire State Building visible in the distance; a large dark billboard with white text, a circular animal avatar, and ChatGPT branding. Right panel: a black sedan parked along a busier avenue with storefront signs such as “I ♥ NY GIFTS”; a large black billboard with a bright cyan border, white quote text, a circular animal avatar, and ChatGPT branding.
Caption text: Use exactly 3 captions beneath the panels. Left caption: “ChatGPT Images 2.0” on the first line and “MEDIUM” in bold quotation marks on the second line. Center caption: “mona-lisa-1” in bold quotation marks. Right caption: “ChatGPT Images 2.0” on the first line and “HIGH” in bold quotation marks on the second line.
Customizable text slots: The comparison labels should read {argument name="left model label" default="ChatGPT Images 2.0"}, {argument name="center model label" default="mona-lisa-1"}, and {argument name="right model label" default="ChatGPT Images 2.0"}. The left quality tag should be {argument name="left quality tag" default="MEDIUM"} and the right quality tag should be {argument name="right quality tag" default="HIGH"}.
Visual style: Photorealistic smartphone street photography inside each panel, but arranged as a polished social-media comparison slide. Keep the overall slide minimal, with no decorative graphics beyond the three framed images and their captions. The billboard text inside the photos may be small and partially imperfect, but it should clearly resemble AI quote-card advertising with ChatGPT logos.
Analyze the entire composition of the input image. Identify all key subjects present (whether a single person, group/couple, vehicle, or specific object) and their spatial relationships/interactions.
Generate a coherent 3×3 “contact sheet” grid that shows 9 different shots of exactly these subjects within the same environment.
You must adapt standard cinematic shot types to fit the content (for example, if it’s a group, keep the group together; if it’s an object, frame the entire object):
Row 1 (establishing the environment):
Extreme long shot (ELS): the subject appears small within a vast environment.
Long shot (LS): the full subject or group is visible from top to bottom (head to toe / wheels to roof).
Medium long shot (American shot / three-quarter): framed from above the knees (for people) or a 3/4 view (for objects).
Row 2 (core coverage):
4. Medium shot (MS): framed from the waist up (or the central core of an object). Focus on interaction/action.
5. Medium close-up (MCU): framed from the chest up. An intimate framing of the main subject.
6. Close-up (CU): tightly framed on the face or the “front” of the object.
Row 3 (details and angles):
7. Extreme close-up (ECU): intense focus on key features (eyes, hands, signs, textures) with macro-like detail.
8. Low-angle shot (worm’s-eye): look up at the subject from ground level (epic/heroic feeling).
9. High-angle shot (bird’s-eye): look down on the subject from above.
Ensure strict consistency: the same person/object, same clothing, and same lighting must appear in all 9 panels. Depth of field should vary realistically (with background blur in close-up shots).
Create a professional 3×3 cinematic storyboard grid with 9 panels.
The grid should present a specific subject/scene from the input image across a full range of focal lengths.
Top row: wide environmental shot, full-body view, 3/4 cropped (knees-up).
Middle row: waist-up view, chest-up view, face/front close-up.
Bottom row: macro details, low angle, high angle.
All frames must have photo-realistic textures, consistent cinematic color grading, and correct framing tailored to the number and type of subjects or objects being analyzed.
Put this whole text, verbatim, into a photo of a glossy magazine article on a desk, with photos, beautiful typography design, pull quotes, and bold formatting. The text: {argument name="article_text_en" default="[paste the full unformatted article here]"}
Create decorative text based on the word "{argument name="word" default=""}". Write the specified word largely and create decorative text designs associated with the image of the word. Create original designs with flexible ideas, without being constrained by existing fonts. The background should be a single color, white or black, matching the design.