Can I customize the Hyper-realistic Fanta Orange Product Shot with Splash template?

Yes. You can change the subject, setting, lighting, mood, format, and available model controls before creating your image.

Which AI model should I use?

Start with Nano Banana 2, which is the model associated with this template. You can compare another compatible model for a different finish.

Hyper-realistic Fanta Orange Product Shot with Splash — AI Image Template for nano-banana-2

Reference Character Posing Grid Study Prompt

16:9 landscape, 2x3 grid perspective study of the reference character on a solid off-white background. 6 panels in strict order: 1. Extreme Wide (silhouette focus), 2. Full Body (dynamic pose), 3. Waist-Up (torso twist), 4. Bust Shot (strong posture), 5. Face Close-Up (expression), 6. Extreme Close-Up (facial details/eyes). - Consistency: Maintain identical facial structure, hair, and proportions across all panels. - Posing: Tailor gestures to camera distance—broad movements for wide shots, subtle nuances for close-ups. - Aesthetic: Consistent lighting and art style; no borders, text, or background environments.

DeepSeek V3 vs V4 Architecture Infographic

side-by-side AI architecture comparison infographic · clean technical diagram, white background, thin black outlines, rounded rectangles, dashed callout boxes, color-coded highlights, presentation-slide aesthetic, vector infographic · 2:1 · wide horizontal · DeepSeek V3/R1 (671 billion) · DeepSeek V4 (1.2 trillion) · bright orange-red · bright blue · 2 · DeepSeek V3/R1 (671 billion) · left half · 9 · Vocabulary size of 129k, FeedForward (SwiGLU) module, Intermediate hidden layer dimension of 2,048, MoE layer, Supported context length of 128k tokens, First 3 blocks use dense FFN with hidden size 18,432 instead of MoE, Sample input text, Embedding dimension of 7,168, 128 heads · DeepSeek V4 (1.2 trillion) · right half · 9 · Vocabulary size of 160k, FeedForward (SwiGLU) module, Intermediate hidden layer dimension of 3,072, MoE layer, Supported context length of 256k tokens, First 3 blocks use dense FFN with hidden size 24,576 instead of MoE, Sample input text, Embedding dimension of 8,192, 128 heads · bottom comparison table · bottom full width · 10 · Total parameters, Active parameters per token, Hidden size, Esmple dimesiegn, DeepSeek V3/R1, Intermediate (FF), Attention heads, Context length, Embedding dimension, Vocabulary size · very light gray rounded rectangle · 8 · Tokenized text, Token embedding layer, RMSNorm 1, Multi-head Latent Attention, RMSNorm 2, MoE, Final RMSNorm, Linear output layer · RoPE attached to the attention block on the left side · Multi-head Latent Attention · orange-red text for the word Latent · FeedForward (SwiGLU) module · 4 · Linear layer, SiLU activation, Linear layer, Linear layer · two branches multiplied, then projected · MoE layer · 5 · top combine node, Feed forward, Feed forward, Router, expert count badge 256 · small black square with 1 selected expert, arrows routing upward to experts, dotted divider line · Vocabulary size of 129k · Intermediate hidden layer dimension of 2,048 · Supported context length of 128k tokens · First 3 blocks use dense FFN with hidden size 18,432 instead of MoE · Resource savings: Model size is 671B but only 1 (shared) + 8 experts active per token; only 37B parameters are active per inference step · 10 · Total parameters: 671B, Active parameters per token: 37B (1 + 8 experts), Hidden size: 7,128, Esmple dimesiegn: 28,432, Intermediate (FF): 2,048, Attention heads: 128, Context length: 128k, Embedding dimension: First 3 blocks, Context ler length: 22G7, Vocabulary size: 129k · very light blue rounded rectangle · 8 · Tokenized text, Token embedding layer, RMSNorm 1, Multi-head Latent Attention, RMSNorm 2, MoE, Final RMSNorm, Linear output layer · RoPE attached to the attention block on the left side · Multi-head Latent Attention · blue text for the word Latent · FeedForward (SwiGLU) module · 4 · Linear layer, SiLU activation, Linear layer, Linear layer · same structure as left panel · MoE layer · 5 · top combine node, Feed forward, Feed forward, Router, expert count badge 384 · small black square with 1 selected expert, arrows routing upward to experts, dotted divider line, blue border emphasis · Vocabulary size of 160k · Intermediate hidden layer dimension of 3,072 · Supported context length of 256k tokens · First 3 blocks use dense FFN with hidden size 24,576 instead of MoE · Resource savings: Model size is 1.2T but only 1 (shared) + 8 experts active per token; only 52B parameters are active per inference step · 10 · Total parameters: 1.2T, Active parameters per token: 52B (1 + 8 experts), Hidden size: 7,2B, Esmple dimesiegn: 28,432, Intermediate (FF): 3,072, Attention heads: 128, Context length: 256k, Embedding dimension: First 3 blocks, Context ler length: 22G7, Vocabulary size: 160k · Create a highly detailed transformer architecture comparison diagram with mirrored layouts. Each half contains one large model stack diagram plus 2 inset diagrams: 1 feedforward module and 1 MoE layer. Use arrows between blocks, tiny technical labels, and connector lines from labels to the relevant components. Keep the typography dense and slide-like, with orange-red used for all V3/R1 emphasis and blue used for all V4 emphasis. Include a small bottom row of compact tabular metrics spanning the width. Preserve the slightly imperfect, human-made infographic look with very small text and crowded annotations.

Ultra-Realistic Rooftop Pool Selfie

"title": "Nina", "style_attributes": [ "Ultra-realistic cinematic lifestyle photography", "8K resolution", "Hyper-detailed", "Photorealistic", "iPhone-style casual shot", "Cinematic photographic quality" ], "subject": { "demographics": "Female, 20 years old, Slavic appearance", "facial_features": { "structure": "Naturally beautiful, well-balanced face, realistic proportions", "eyes": "Large expressive green-hazel, calm confident gaze", "lips": "Naturally full, soft, unexaggerated", "makeup": "Light natural daytime, not heavy" }, "skin_texture": { "quality": "Sun-kissed, highly realistic, visible pores, subtle micro-imperfections", "effects": "Wet skin, water and oil droplets catching sunlight, no plastic texture" }, "hair": "Long, wet, slightly messy, strands sticking naturally to cheek and forehead", "body": { "pose": "Lying on stomach, legs gently bent at knees and lifted, feet together, arm extended for selfie", "physique": "Slim waist, natural back line, realistic anatomy without exaggeration" }, "clothing": "Small classic black bikini top with thin straps and deep plunge" }, "props": [ "Fresh coconut with straw and subtle DUY368 logo", "Bright blue-and-white striped beach towel", "Smartphone (partial visibility)" ], "environment": { "location": "Luxurious rooftop pool, high-rise building, Los Angeles", "background": "Modern downtown LA skyscrapers, slight atmospheric haze, white sun loungers and umbrellas", "elements": "Turquoise pool water, lush tropical greenery (banana palms, monstera plants)", "weather": "Bright sunny day, clear blue sky, no clouds" }, "technical_specs": { "lighting": "Harsh midday sunlight, strong contrast, deep natural shadows, bright specular highlights", "camera_settings": "50–85mm lens look, shallow depth of field, high dynamic range (HDR)", "color_grading": "Realistic, true-to-life skin tones" }, "full_prompt_string": "Ultra-realistic cinematic lifestyle photography, 8K, hyper-detailed, photorealistic, An attractive woman aged 20, Slavic appearance. A naturally beautiful, well-balanced face with realistic proportions, no artificial perfection. Large expressive green-hazel eyes, calm confident gaze toward the camera. Naturally full lips, soft and unexaggerated. Light, natural daytime makeup emphasizing her features without looking heavy. Her skin is sun-kissed and wet, highly realistic with visible pores, subtle micro-imperfections, fine highlights, and water and oil droplets catching the sunlight. No plastic or overly smooth texture. Long wet hair, slightly messy after swimming, with a few strands sticking naturally to her cheek and forehead. She is lying on her stomach on a bright blue-and-white striped beach towel. The po

Nano Banana Pro Calligraphy Font Generator

---------- 白（# ffffff）のベタ塗り背景。黒（# 000000）のベタ塗り文字で「{argument name="text to write" default="謹賀新年"}」と中央に縦書きで書いてください（改行なしの一行）。・フォントは力強い毛筆風で、日本の書道・墨の表現を巧みに再現した書体。・ダイナミックでパワフルに、墨の飛沫の勢いまで表現する。・静と動のメリハリがあり、全ての線は流動的に筆運びの軌跡を表現している。・達筆な書道有段者が書く極めて質が高く芸術性も高いデザイン。 ----------

Liquid Chrome and Holographic Transformation

このイラストを、{argument name="素材" default="液体クロムとホログラフィック素材"}でできたようなスタイルで変換してください。鏡面のような完璧な反射、角度によって虹色に変化するホログラム効果、液体金属が流れているような滑らかな質感を全身に。強烈なメタリック光沢と歪んだ反射で、未来的で非現実的な美しさを表現してください。

Visualizing Music Albums as Turntable Landscapes

<instructions> Input: A classic album (e.g., {argument name="album name" default="Pink Floyd - Dark Side of the Moon"}). Action: A vinyl record spinning on a turntable. Visual: The grooves of the record rise up to form the circular landscape of the album's theme (e.g., {argument name="landscape theme" default="a prism city"}). The needle is a tiny car/character driving through the groove-canyons. </instructions>

Overhead Playful Portrait of Ana de Armas in a Bikini Top

2:3 · Overhead / High-angle (bird's-eye view) · Soft, natural indoor light · Woman · 19 · Lying supine on back · Facing camera, hair spread out above head · Fair · Visible freckles on cheeks and nose · Flushed pink cheeks · Brown · Left eye open, right eye winking · Blonde · Wavy · Playful · Sticking out tongue · Broad, showing teeth · Wrinkled · Bikini top · Halter-neck · White · Black embroidered zig-zag trim along edges · Earrings · Small gold hoops · Necklace · Delicate gold chain with a small, dark charm · Light blue textured fabric pillow, Light blue textured blanket

Cinematic Moody Portrait

Use my uploaded face image as the primary identity reference. Preserve my exact facial identity with high fidelity. Create a cinematic moody portrait of me sitting in a vintage leather armchair inside a dark, atmospheric room. Warm golden sunlight streams through a large window, creating dramatic volumetric light rays and dust particles. Thoughtful, confident pose with one hand near the face, wearing a {argument name="clothing" default="dark plaid shirt, sunglasses, and jeans"}. Rich shadows, warm amber tones, filmic color grading, shallow depth of field, luxury lounge aesthetic, ultra-realistic photography, highly detailed, professional editorial style, 85mm lens, masterpiece quality, 8K.

Back-to-Back Dark Bishounen Portrait

A dramatic, painterly anime-style illustration of two androgynous young men standing back-to-back in a dark, romantic historical-fantasy composition. The left figure is taller and shown from mid-thigh up, with very long, messy black hair cascading over the shoulders and chest, a partially open white shirt, a fitted black vest, a brown leather belt, and an ornate black military-inspired coat draped over one shoulder with gold embroidery, gold buttons, a large gold epaulet, fur trim at the collar, and a round red-and-cream rosette detail near the shoulder. His pose is relaxed and theatrical, with one hand lifted into his hair and his head tipped slightly back. The right figure is slightly shorter, shown from the waist up and turned away in profile, with short tousled black hair, a white high-collared shirt, a black vest, dark gloves, and crossed arms, giving a cool, reserved presence. Both characters have pale skin and a moody bishounen aesthetic. The background features a huge glowing red sun or moon centered behind them, with a textured gold-leaf and black grunge backdrop, deep crimson drapery or haze near the lower left, scattered glowing red petals or embers drifting through the air, and red flowering branches on the right side. Use rich crimson, black, antique gold, and ivory tones, cinematic rim lighting, layered textures, intricate costume rendering, elegant brushwork, and an emotional, nostalgic, high-detail finish.