reference image + is wearing a coordinated three-piece {argument name="outfit inspiration"default="ditto(pokemon)"}-inspired ensemble. Change the background to one that matches the subject. Pale skin, same expression and makeup asin the reference image
Profile / Avatar - Ditto-Inspired Outfit Change with Identity Lock
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A short prompt for image generation that instructs the AI to use a reference image for identity locking, change the subject's outfit to a coordinated three-piece Ditto (Pokémon)-inspired ensemble, and adjust the background to match the new subject styling, while preserving the subject's expression and makeup.
Stop listing specs. Start selling value. This prompt converts your raw technical features (e.g., "WebSockets support") into high-converting marketing copy (e.g., "Real-time collaboration"). Ideal for Indie Hackers and Engineers.
A highly detailed and comprehensive prompt for generating a realistic, late-night bedroom selfie using Nano Banana 2. The prompt specifies character appearance (Korean actress style), expression (soft, playful), pose (reclining with raised legs), lighting (direct phone flash), and texture (natural noise, no plastic smoothing) to achieve an authentic, candid snapshot aesthetic.
A photorealistic prompt for Nano Banana Pro requesting an iPhone 15 Pro mirror selfie of an athletic young man in a clothing store fitting room, focusing on muscular detail, candid vibe, and realistic store lighting and clutter.
A highly detailed prompt for generating a photorealistic, intimate, low-angle selfie portrait of a seductive catgirl. It specifies her appearance (pink fluffy cat ears, heavy eyeliner, glossy pink lips), pose (lying on stomach, peace sign gesture), and environment (cozy bedroom with soft pinkish walls). The prompt emphasizes ultra-detailed skin texture, realistic hair strands, warm indoor lighting, and a kawaii meets sultry aesthetic.
A highly explicit and detailed JSON prompt for generating a casual, intimate smartphone selfie of a young woman lying on a bed. The prompt focuses heavily on anatomical details (large bust, slim frame), wardrobe (white tie-up lingerie), pose (arm-extended selfie), and atmosphere (dim purple ambient lighting, stuffed animals), aiming for an authentic, seductive bedroom aesthetic.
A highly detailed, structured JSON prompt for generating a close-up, candid-style selfie inside a car during golden hour. The prompt focuses on two young women, one licking the other's neck, emphasizing warm, hazy lighting, specific apparel details, and a social media aesthetic.
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Your device might be distinguished from other devices based on information it automatically sends when accessing the Internet (for instance, the IP address of your Internet connection or the type of browser you are using) in support of the purposes exposed in this notice.
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Exponential Interactive, Inc d/b/a VDX.tv
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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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