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.

Cinematic 8-Photo Storytelling Collage for a Gym Journey — AI Image Template for nano-banana-2

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.

$F1 Racing Portrait Prompt for Nano Banana Pro — { "edit_instructions": { "prompt": "A photorealistic cinematic portrait of a professional Formula$

F1 Racing Portrait Prompt for Nano Banana Pro

{ "edit_instructions": { "prompt": "A photorealistic cinematic portrait of a professional Formula 1 racer standing confidently beside a {argument name="car brand" default="Ferrari"} Formula 1 car. The subject is a young adult racer wearing an authentic red {argument name="suit color" default="Ferrari"} F1 racing suit with detailed sponsor patches, fitted gloves, and racing boots. Arms relaxed or lightly crossed, confident posture, calm focused expression. The {argument name="car brand" default="Ferrari"} F1 car is positioned slightly behind or beside the racer, angled for visual impact, with visible aerodynamic details, glossy red paint, and subtle reflections. Background set at a modern F1 paddock or pit lane environment with soft depth of field. Dramatic yet natural lighting with soft highlights and controlled shadows, high-end sports editorial photography style, sharp focus, ultra-realistic textures, detailed fabric stitching, carbon fiber surfaces, cinematic color grading, 8k resolution, professional motorsport portrait look.", "negative_prompt": "cartoon, illustration, anime, low resolution, blurry, distorted anatomy, exaggerated proportions, fake logos, incorrect branding, fantasy elements, oversaturated colors, plastic skin, artifacts" }, "settings": { "strength": 0.7, "guidance_scale": 7.5, "preserve_character_consistency": true } }

Cyberpunk Studio Portrait with Neon Lights

Create a bold, cinematic portrait 8k ultra HD high details resulation of a confident young man a well groomed beard, looking upward with purpose. He wears vibrant pink sunglasses reflecting neon lights, He wears a black t-shirts. Dramatic lighting in teal and magenta casts bold shadows and highlights across his face. Style: edgy, modern, cyberpunk-inspired studio photography.

$Social Media Call-to-Action Composite with Pointing Character — { "edit_type": "creative_composite_layering", "source": { "_hint": "Base logic: Charact$

Social Media Call-to-Action Composite with Pointing Character

{ "edit_type": "creative_composite_layering", "source": { "_hint": "Base logic: Character (Ref 1) superimposed ON TOP OF the Background Image (Ref 2).", "mode": "EDIT", "reference_images": { "first": "foreground_character_person", "second": "background_scenery_or_pattern" }, "preserve_from_first": { "same_person_or_group": true, "same_faces": true, "same_hairstyles": true, "same_outfits": true } }, "identity": { "keep_identity_consistent": true, "expression": "bright_engaging_smile_at_camera" }, "camera_effect": { "_hint": "High-angle selfie style, creating a sense of depth between the hand and face.", "perspective": "high_angle_shot_looking_down", "style": "social_media_call_to_action", "depth_of_field": "focus_on_face_and_pointing_finger", "framing": "character_centered_with_space_at_top_right" }, "pose": { "_hint": "Key action: Lying down but actively pointing to the 'Follow' button area (Top Right).", "pose_style": "lying_down_or_reclining_on_back", "face_direction": "looking_directly_up_into_lens", "hand_gestures": { "right_hand_action": "pointing_index_finger", "target_direction": "upper_right_corner_45_degrees", "purpose": "mimicking_pressing_subscribe_button", "arm_position": "extended_towards_camera_top_right" }, "body_language": "inviting_and_energetic", "style_tags": [ "kpop_idol_fan_service", "influencer_promo_style", "dynamic_perspective" ] }, "background_integration": { "_hint": "The second reference image is the background/floor.", "method": "full_background_replacement", "target_area": "entire_canvas_behind_character", "content_source": "reference_image_second", "perspective_match": "flat_lay_style", "rules": { "character_must_be_top_layer": true, "leave_space_in_upper_right_for_ui": true } }, "composition": { "_hi"

Cinematic Street Photography Shot with Motion Blur

A cinematic, hyper-realistic street photography shot of a young woman standing still in the middle of a busy city crosswalk during rush hour. She has short {argument name="hair color" default="ash-gray"} bob hair, round glasses, and a calm, introspective expression while everyone else moves around her. She’s wearing an oversized dark gray sweater, a black pleated midi skirt, brown leather lace-up boots, and a backpack, holding a few books close to her chest. Business people in formal attire walk past her in motion blur, some holding coffee cups. Modern urban cityscape with tall buildings, muted tones, overcast daylight, shallow depth of field, soft natural lighting, cinematic composition, ultra-detailed, 35mm lens, f/1.8, realistic skin texture, dramatic contrast, photorealistic, 8K quality

Miniature Diorama Prompt for Visualizing the Historical Journey of Calculus

Input A: {argument name="concept" default="calculus"} Input A is a technology that traveled historical trade routes (papermaking, gunpowder, astronomy, silk production, algebra, etc.). Analyze: origin civilization, the journey route, cultural adaptations at each stop, timeline of spread. Goal: Miniature Silk Road/trade route caravan scene showing technology being transported and transformed. Rules: - Base: 3D topographic map showing actual historical route (mountains, deserts, seas) - Caravan: 8-12 miniature merchant/scholar figurines progressing along route with pack animals - Each stop: micro-diorama of how that civilization adapted the technology * Origin point: technology in pure form with inventor culture's aesthetic * Midpoint stops: hybrid versions showing cultural fusion * Destination: fully transformed/adapted version - Include: the technology itself transforming—paper becoming different textures, numbers changing symbol systems, etc. - Obstacles: miniature barriers that were overcome (mountain passes, hostile territories, language barriers shown as scroll fragments in different scripts) - Time markers: seasons/years labeled along route - Materials: actual sand/terrain materials, tiny textiles from different cultures, brass caravans - Lighting: journey from dawn (origin) to dusk (destination) across the scene Output: ONE image, 21:9 ultra-wide to capture full journey, epic historical adventure photography

PRO

Hyper-realistic Photography and Vector Illustration Blend Prompt

Transform this image into a 64K DSLR shot resolution of A full-body composition featuring a real-li…

PRO

History of Music Diorama Book Prompt

1. The Anchor: A massive, hyper-realistic Cello or Upright Bass stands vertically in the book cre…

Cinematic 7 Up Cool Escape Poster

Create a hyper-realistic vertical cinematic soda advertisement poster for {argument name="brand name" default="7 Up"}. A cheerful young woman is lunging forward toward the camera in an energetic selfie-like perspective, holding an opened green soda can extremely close to the viewer in her left hand. She wears a mint green lightweight jacket over a white crop top, white high-waisted shorts, and white sneakers; her brown hair is tied in a messy high bun with loose strands. Her face is covered by a centered opaque rectangular blur block, while the rest of her body and outfit remain sharply detailed. The can is wet with condensation, has a silver pull tab, visible lemon-lime graphics, and the large white-and-red 7 Up logo. A huge curling wave of sparkling water, bubbles, ice-like mist, floating lime slices, green leaves, and splashes wraps around the can and the model, forming a dynamic spiral that leads into the background. Set the scene in a surreal refreshing alpine fantasy landscape with towering snow-covered mountains, waterfalls, turquoise rivers, mossy rocks, lush greenery, and bright tropical accents in the lower distance. Use cool teal, mint, white, and icy blue tones with high contrast sunlight from the upper right, glossy commercial lighting, crisp droplets, and premium beverage-ad photography realism. Add bold distressed white poster typography in the upper left: large stacked headline text “{argument name="headline text" default="COOL ESCAPE"}” and smaller all-caps tagline beneath it, “{argument name="tagline text" default="REFRESH YOUR WORLD."}”. Composition should be portrait 2:3, ultra-detailed, dramatic wide-angle lens, shallow depth of field on the foreground can and hand, motion frozen mid-splash, no extra products, no extra people, no watermark.

Hyper-Realistic Overcast Morning Portrait

A hyper-realistic portrait of a Gen Z woman outdoors on an overcast morning, wind lightly blowing her hair. 80 mm prime lens, eye-level angle. She wears a tan oversized coat and small silver hoops. Lighting is diffused and soft, revealing natural pores and authentic tone.