3D character design, blind box style, PopMart style design, C4D, Octane rendering, clay texture, matte finish, soft lighting, sticker sheet layout, 3x3 grid view {argument name="expressions and text"default="9 types of expressions: joy making a heart, sadness with tears, anger exhaling steam, sleepy yawning expression, surprised expression with open mouth, shy blushing expression, cheering expression with raised fist, confused thinking expression, celebrating with confetti"}, each with a cute Japanese text label, white outline, die-cut, white background, high quality, 8k --ar 3:4
Game Asset - LINE Sticker Generation Prompt (3D Clay Style)
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A detailed Japanese prompt designed to generate a 3x3 grid of nine different LINE stickers featuring a 3D character in a blind box/Pop Mart style. It specifies a clay texture, matte finish, soft lighting, and nine distinct expressions, each with a cute Japanese text label and white outline.
A prompt for generating a high-quality, Pixar/Disney-inspired 3D cartoon character of a cheerful young girl. It details her appearance, attire (yellow and white outfit, chunky sneakers), pose (energetic/surprised), and technical specifications like clay-like textures and cinematic depth of field.
A prompt for Nano Banana 2 to generate a vertical, high-angle close-up shot of a traditional Chinese garden courtyard, rendered in a monochromatic pure white clay style with embossed paper texture and strong ambient occlusion.
A detailed prompt for generating a highly detailed 3D cartoon sculpture of three whimsical children stacked on top of each other on a rustic house, emphasizing exaggerated features, expressive poses, and realistic clay texture.
A prompt for generating a highly detailed isometric 3D render of a miniature solarpunk cozy room diorama. The style is whimsical with a clay texture finish, featuring a glass ceiling with solar panels, abundant plants, and a sleeping cat, rendered in 8k resolution using Octane.
A prompt designed to generate a whimsical, cartoonish 3D pirate character in a perfect T-pose, suitable for 3D modeling assets. It emphasizes oversized features, clay textures, vibrant colors, clean cel-shading, and bright, even lighting on a plain white background.
A highly detailed, structured JSON prompt for generating a hyper-realistic, medium-format editorial portrait of 'The Protagonist' (Jenna Ortega) in a cluttered vintage theater dressing room, focusing on texture, surreal makeup effects (cracked clay, void black pigment), and cinematic Rembrandt lighting. The prompt specifies Hasselblad H6D-100c camera settings and Kodak Portra 400 film emulation for a high-end fashion aesthetic.
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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, Authentication-derived identifiers, Browsing and interaction 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, Authentication-derived 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, 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, 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, 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 identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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