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):
Row1 (establishing the environment):
Extreme long shot (ELS): the subject appears small within a vast environment.
Longshot (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 3/4view (for objects).
Row2 (core coverage):
4.Mediumshot (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.
Row3 (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. Depthof field should vary realistically (with background blur in close-up shots).
Create a professional 3×3 cinematic storyboard grid with9 panels.
The grid should present a specific subject/scene from the input image across a full range of focal lengths.
Toprow: wide environmental shot, full-body view, 3/4cropped (knees-up).
Middlerow: waist-up view, chest-up view, face/front close-up.
Bottomrow: 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 typeof subjects or objects being analyzed.
3×3 cinematic storyboard contact sheet from one input image
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A detailed Nano Banana Pro instruction prompt that analyzes one reference image and generates a coherent 3×3 cinematic contact sheet of the same subject with different shot types while keeping identity, clothing and lighting consistent.
A complex, multi-step prompt designed to generate a cohesive 3x3 cinematic contact sheet based on an uploaded reference image. It instructs the model to internalize the scene and subject, then create a sequence of images captured from multiple distances and angles while maintaining absolute consistency in subject, location, lighting, and emotional tone.
A detailed Nano Banana Pro instruction prompt for generating a 3x3 cinematic storyboard grid from an uploaded reference image, keeping the same subject while varying shot types and angles.
A powerful instruction-style prompt that analyzes an input image and generates a 3x3 cinematic contact sheet with nine different shot types of the same subject.
A detailed prompt for Nano Banana Pro to create a cinematic 3x3 contact sheet from an uploaded image, preserving the athlete's identity, clothing, and mat, but changing the environment to an outdoor, midday setting. The prompt specifies the exact pose and label for nine different workout exercises, ensuring consistency in style and composition across all frames.
A complex, highly structured JSON prompt for generating a 3x3 contact sheet of cinematic fashion editorial images. It includes strict identity locking based on a reference image, detailed specifications for lighting (low-key indoor), wardrobe (deep red silk slip dress), camera settings (cinema camera, f/1.8), and a list of specific poses to capture an introspective and sensual mood.
A detailed prompt for Nano Banana Pro to create a cinematic 3x3 contact sheet from an uploaded image, preserving the athlete's identity, clothing, and mat, but changing the environment to an outdoor, midday setting. The prompt specifies the exact pose and label for nine different workout exercises, ensuring consistency in style and composition across all frames.
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Information about your activity on this service may be matched and combined with other information relating to you and originating from various sources (for instance your activity on a separate online service, your use of a loyalty card in-store, or your answers to a survey), in support of the purposes explained in this notice.
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Exponential Interactive, Inc d/b/a VDX.tv
Cookie duration: 90 (days).
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Non-precise location data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Browsing and interaction data, Non-precise location data, Precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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