AI Prompts for RunAPI models

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "Ultra-Realistic Promotional Present a clear, side miniature 3D cartoon view of [DUBAI] tallest buildings. Use minimal textures with realistic materials and soft, lifelike lighting and shadows. Use a clean, minimalistic composition showing exactly the three tallest buildings in spot, arranged from LEFT to RIGHT in STRICT descending height order. The tallest must appear visibly tallest, the second must be clearly shorter than the first, and the third must be clearly shorter than the second. All buildings must follow accurate relative proportions: if a building is taller in real life, it MUST be taller in the image by the same approximate ratio. No building may be visually stretched or compressed. Each building should stand separately on a thin, simple ceramic base. Below each base, centered text should display: Height in meters – semibold sans-serif, medium size Year built – lighter-weight sans-serif, smaller size, directly beneath the height text Provide consistent padding, spacing, leading, and kerning. Write “DUBAI” centered above the buildings using a medium-sized sans-serif font. No building top should overlap or touch the text above. Use accurate architectural proportions based on real-world references. Maintain consistent camera angle and identical scale for each building model. No forced perspective. Use straight-on orthographic-style rendering. Do not exaggerate or stylize size differences beyond proportional accuracy. Use a square 1080x1080 composition. Use a clean, neutral background. Ensure no extra objects are present."
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "Create a clear, 45° top-down isometric miniature 3D cutaway diorama showing the inside of [MACHINE / DEVICE]. Use soft refined textures, realistic PBR materials, and clean technical lighting. Design a raised base with visible internal components, wiring, gears, or energy flow paths. Include tiny stylized technicians interacting with the machinery (no facial details). Use a clean solid [BACKGROUND COLOR] background. At the top-center, display [MACHINE NAME] in large bold text, beneath it show a short technical subtitle, and place a minimal engineering icon below. All text must automatically match the background contrast (white or black)."
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "<instruction> Input A is a Mechanical Device or Gadget (e.g., Vintage Camera, Mechanical Watch, V8 Engine, Game Console). Deconstruct the object into 3 Functional Layers : Chassis (The Shell): Identify the main body frame or housing. Engine (The Guts): Identify the primary internal mechanism. (e.g., Camera -> Shutter & Mirrors. Watch -> Mainspring & Escapement. Engine -> Pistons). Interface (The Control): Identify the buttons, dials, or lens elements. 2. Container Goal: \"Exploded Construction\" Tabletop Photography. Surface: A clean, light-grain Wooden Workbench or cutting mat. Layout: Exploded View (Knolling). The machine is pulled apart into its components, which are arranged spatially to show how they fit together. 3. Construction The Suspension: Major parts (The Chassis) are raised on Miniature Scaffolding or suspended by Miniature Yellow Cranes . The Narrative: A crew of 1:87 Scale Construction Workers (Hard hats, vests) are actively building the machine. Action: They are welding gears, hoisting the lens, or consulting blueprints on the table. Vehicles: Tiny forklifts or flatbed trucks are delivering screws and springs. 4. Visual The Guide Lines: Thin, glowing Blue Laser Lines or holographic wires connect the separated parts, tracing the path of assembly from the table to the suspended parts. The Hardware: Tiny screws, washers, and springs are lined up neatly in rows (Knolling style) on the table, waiting to be installed. 5. Lighting & Atmosphere: Lighting: Bright Studio Light. Even, shadowless illumination (High Key) to ensure every mechanical detail is visible. Texture: Contrast between the matte grey/black of the machine parts and the bright yellow of the construction equipment. Output: ONE image, 1:1 Aspect Ratio, Macro Photography, \"Miniature World\" aesthetic, Technical Precision. </instruction>"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "{ \"prompt\": \"Isometric 3D kawaii scene of chibi baby bears designing a mountain snow map inside a cozy wooden hideout. The isometric cutaway room features a large hand-drawn map spread across a tilted work table, decorated with tiny flags, paw-print markers, and string lines connecting different locations. Three baby bears wear soft hooded outfits in warm terracotta, foggy blue, and oatmeal beige. One bear stands on a small stool placing a flag on the map, another measures distances using a string and wooden ruler, while the third sketches snowy paths with a crayon. The room includes wooden shelves filled with rolled maps, compasses, ink bottles, backpacks, and snow boots placed near the door. Small windows reveal snow-covered mountains and pine forests outside.\", \"style\": { \"art_style\": \"kawaii 3D\", \"perspective\": \"isometric cutaway\", \"geometry\": \"rounded, toy-like proportions\", \"render_type\": \"ultra-detailed 3D render\" }, \"lighting\": { \"type\": \"warm indoor lighting\", \"mood\": \"soft and cozy\", \"contrast\": \"gentle highlights with smooth shadows\" }, \"color_palette\": { \"primary\": [\"pastel earthy tones\"], \"accent\": [\"warm terracotta\", \"foggy blue\", \"oatmeal beige\"] }, \"atmosphere\": { \"emotion\": \"wholesome and adventurous\", \"vibe\": \"cozy, playful, story-driven\" }, \"quality\": { \"detail_level\": \"ultra detailed\", \"resolution\": \"8k\", \"rating\": \"masterpiece, premium quality\" } }"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "[Country/City Name]::4 Morphology: Miniature architectural cityscape, skyline constructed entirely from edible ingredients, tiny skyscrapers and houses mimicking [Country/City] architectural styles but formed from food, culinary structural engineering, hyper-detailed diorama::3 Material Physics: [Country/City] national gastronomy as construction material, native cuisine textures replacing concrete and glass, masonry made of regional staples, savory and sweet ingredient structural integrity, authentic local food palette::3 Illumination: Soft focus macro lighting, ambient occlusion, mouth-watering highlights::2 Render Stack: Tilt-shift photography, macro lens, f/2.8, 8k, scale model aesthetic, unreal engine 5 render::1 Negative: [Real concrete, real metal, plastic, inedible, humans, cutlery, plates, blurry]:: -1"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "[Terminator] (Or any movie/book/anime) <instructions> System Instruction: Act as an AI Media Curator and Master Concept Artist. Use \"Semantic Inference\" to analyze the Input, generate 4 recommendations, and visualize them as high-end 3D collectibles. 1. Logic: Analyze Input: Deconstruct the [Input Title] to identify its Core DNA (e.g., Genre, Mood, Visual Style, Themes). Example: If Input is \"Terminator,\" DNA = Cyberpunk, Tech-Noir, Man vs. Machine, Industrial, 80s Action. Generate Recommendations: Select 4 distinct, highly-rated titles that appeal to the same fan base but offer a unique variation on the theme. (Do not just pick sequels; pick spiritual successors or genre pillars). 2. Container: Rule: Do not default to a generic inkwell. Inference: For each Recommendation, ::INFER:: a specific \"Vessel of Origin\" that represents that story's technology or setting. Logic: If Sci-Fi -> A cracked Bio-Hazard Canister or Motherboard. If Fantasy -> An ancient Chalice. If Horror -> A Cursed Urn. Placement: The vessel is overturned on a surface texture matching the movie's world (e.g., Grated Steel, Dusty Pavement, Alien Ship Floor). 3. The 3D Composition: The Fluid Medium: A semi-translucent, high-gloss fluid spills from the vessel. The fluid represents the \"Essence\" of that movie. Logic: Rec 1 (e.g., The Matrix): Fluid = Liquid Green Code. Rec 2 (e.g., RoboCop): Fluid = Black Oil & Motor Fluid. Rec 3 (e.g., Aliens): Fluid = Acid Green Slime. Rec 4 (e.g., Blade Runner): Fluid = Neon Blue Rain/Steam. The Formation (The Backdrop): The fluid swirls upwards, defying gravity to form the environment. It must look like sculpted, translucent resin. Logic: The fluid forms the iconic architecture (e.g., Skyscrapers, Hives, Ruins) behind the hero. The Hero (The Solid): The Main Protagonist bursts out of the fluid surge. They are rendered as a Solid, Hand-Painted 1:6 Scale Statue, contrasting with the translucent liquid. Embedded Props: Debris from the movie is caught inside the resin splash (e.g., Shell casings, origami unicorns, computer chips). 4. Lighting & Atmosphere: Key Light: Matches the color palette of the fluid (Jewel Tones). Effect: Subsurface scattering makes the fluid glow from the inside. 5. Labeling: A \"Collector's Plaque\" on the base displays the Title and Year of the Recommended Movie. Output: 2x2 Grid. Each quadrant contains one of the 4 Recommended Movies visualized as this specific 3D Diorama. </instructions>"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "Cinematic, hyper-realistic. A stacked depth composition of ultra-detailed 16K 3D-scanned transportation evolving over time, each layer at 1:18 scale with [ELEMENTS = era-relevant elements, scenes, vehicles]. Mounted on an acrylic stack base with refractive layers. Foreground lighting penetrates to cast multi-layered, receding shadows. From front to back: - [ \"1000 BC\" ]: [hyper realistic, era relevant ELEMENTS] - [ \"1000 AD\" ]: [hyper realistic, era relevant ELEMENTS ] - [ \"2025 AD\" ]: [hyper realistic, era relevant ELEMENTS ] Set against a marble background. Ultra-realistic 4K HDR render."
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "{ \"prompt\": \"massive giant inflatable WhatsApp logo floating in the ocean near the beach, huge rectangular green mermaid logo with white siren face, long flowing white wavy hair, green crown with stars, ultra-detailed brand-accurate WhatsApp siren, enormous 100-meter diameter inflatable platform, emerald green rubber texture with subtle glossy highlights, classic green and white color scheme, dozens of people in swimsuits playing and lying on the giant inflatable, some standing, some sitting, some swimming around the edges, tropical beach setting, golden sand, turquoise ocean waves gently crashing around the edges, bright sunny day, aerial drone top-down perspective, very wide angle overhead shot, crystal clear water, people casting small shadows on the white face, vibrant summer atmosphere, advertising campaign style, hyperrealistic, extremely detailed, 8k\", \"negative_prompt\": \"text, letters, words, deformed, blurry, low resolution, bad anatomy, extra limbs, watermark, logo in corner, people inside the face, dark mood, night, winter, snow, ugly, cartoon, illustration, painting, sketch, 3d render, plastic toy look\", \"aspect_ratio\": \"16:9\", \"style\": \"photorealistic\", \"lighting\": \"bright natural sunlight, golden hour rim light, soft shadows\", \"camera\": \"drone aerial view, directly overhead, 200mm lens, slight wide angle distortion\", \"quality_tags\": \"masterpiece, best quality, ultra detailed, highly detailed, sharp focus, cinematic lighting, 8k resolution\" }"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "Ultra-realistic macro scene depicting tiny restoration workers collaboratively repairing an antique pocket watch. Several figures delicately clean intricate brass gears using fine brushes, while others stabilize the open watch casing and hold miniature components in place. The pocket watch lies on a textured natural surface, such as weathered wood or stone, emphasizing age and history. The scene symbolizes time, patience, craftsmanship, and teamwork.\", \"style\": { \"photography_type\": \"Macro photography\", \"realism\": \"Ultra-realistic\", \"mood\": \"Emotional and cinematic\", \"lighting\": \"Soft, warm, directional lighting with gentle highlights and natural shadows\", \"depth_of_field\": \"Shallow depth of field with sharp focus on foreground details and smooth background bokeh\" }, \"composition\": { \"shot_type\": \"Close-up macro\", \"angle\": \"Slightly elevated perspective\", \"focus\": \"Extreme detail on gears, tools, and figurines’ interactions\", \"framing\": \"Pocket watch centered with workers distributed naturally across the mechanism\" }, \"textures_and_details\": { \"materials\": \"Aged metal, polished brass gears, worn leather strap, natural surface grain\", \"details\": \"Visible dust particles, subtle scratches, fingerprints, and mechanical wear\" }, \"atmosphere\": { \"tone\": \"Warm, nostalgic, hopeful\", \"symbolism\": \"Restoration of time through collective effort and care\" }, \"render_settings\": { \"aspect_ratio\": \"4:5\", \"quality\": 2, \"resolution\": \"High-resolution\", \"style_precision\": \"Professional studio-level composition\" } }"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "{ \"target_style\": \"Handcrafted needle-felted wool miniature\", \"texture_properties\": { \"material\": \"organic roving wool, fuzzy fibers, soft tactile felt\", \"details\": \"visible needle-punch textures, soft fuzzy surface, handcrafted seams\", \"eyes\": \"small black bead eyes or simple felted circles\" }, \"adaptation_rules\": { \"proportions\": \"stylized, slightly oversized head, simplified limbs, cute aesthetic\", \"color_palette\": \"retain original colors from source image but soften with wool texture\", \"clothing\": \"simplified felt versions of the original outfits, tiny fabric buttons, stitched details\", \"accessories\": \"replicate key items from source as miniature felted props\" }, \"environment\": { \"camera\": \"macro photography, close-up shot\", \"lighting\": \"soft studio lighting, warm highlights, gentle shadows\", \"background\": \"clean, out-of-focus bokeh background, neutral craft studio setting\", \"depth_of_field\": \"shallow depth of field (f/2.8)\" }, \"rendering_engine_hints\": \"high fidelity, 8k, photorealistic wool texture, Pixar-like character charm\" }"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "Vertical snack advertising visual with playful anthropomorphic tone. At the top, golden Lay’s potato chips arranged in a neat vertical queue, each chip posed like a diver on a diving platform, some slightly bent forward, some mid-tilt, suggesting preparation and focus before jumping. Below them, thick molten cheese flowing downward, glossy and stretchy, forming a rich cheese lava pool at the bottom. Several chips are frozen mid-air in clean diving poses, angled downward like synchronized divers, capturing a precise pre-splash moment. Warm yellow and cheese-orange gradient background, studio advertising lighting, soft highlights, refined shadows. Strong central axis composition, clear visual hierarchy. Minimalist graphic layout, fun yet premium commercial food photography aesthetic, ultra-detailed textures, hyper-realistic, 8K resolution."
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "Refined 3D isometric composition (45° angle) in a Glassmorphism + Soft Claymorphism style. The center of the composition features gold bars, rendered with hyper-realistic PBR materials, placed inside or surrounded by semi-transparent glass forms. Visual Style Characteristics Materials: Primary focus on frosted glass with strong background blur. Element edges feature a subtle white inner glow, simulating polished glass bevels. Layers: A multi-layered composition where UI and graphic elements float at different transparency levels, creating a pronounced sense of depth. Geometry: Perfectly soft, rounded corners (Apple-style squircles). Element Details Central Object: Highly detailed gold bars with precise engravings, realistically reflecting within surrounding glass surfaces. Interface: Floating panels with a frosted glass effect (40–60% opacity). Panels display clean sans-serif typography showing data for January 30, 2026: price, trend arrow, and a neon micro-chart. Environment: Stylized elements (vault door, market icons) crafted from a mix of polished metal and semi-transparent plastic. Technical Parameters Lighting: Soft studio lighting, realistic caustics (light passing through glass), and global illumination (GI). Background: Solid powder blue color (#B0E0E6), providing contrast with translucent layers. Render: Cinema 4D, Octane Render, 8K resolution, ultra-high detail, clean minimalism."
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "A stylized 3D cartoon boy character with a minimal, Pixar-like design, pale skin, slightly oversized head, and a slim body. He has half-closed sleepy green eyes, a bored expression, and soft facial features with a small nose and subtle blush. He is wearing a light grey knitted beanie with a small front label, large black over-ear headphones, and a loose green sweatshirt. The character is centered, facing forward, with relaxed posture. Background is a smooth solid green gradient. Soft studio lighting, high detail, clean render, shallow depth of field, ultra-realistic textures, 4K."
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "Create a high-quality vector art illustration of a [COLOR] [BRAND + MODEL] viewed from a dynamic front-side angle, in the style of a modern car sticker design. The car should have detailed shading, black sport rims, and a glossy finish that reflects light. Add the text “[BRAND]” above the car in bold, modern font. Behind the car and text, include angled [STRIPE COLOR] stripes as a background element to add motion and energy. Use a white outline around the entire composition to give the sticker a cutout effect, just like a real die-cut sticker. Place the entire design on a plain white background to mimic how a sticker would appear. The overall design should be sporty, vibrant, and clean. Format: 1080x1080 pixels"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "a vintage postage stamp depicting [iconic monument of a capital with people interacting in the scene]. Pastel colors, extremely thin black border all around it, simple background, paper texture, high details"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "Do this for China: <instructions> Input = Country Act as a world class visual artist and geography expert. For every country, find 4 less known cities and the one product that is very popular there. Do research to get this step right. Function Draw ($ City, $ Material) Anchor: [Location] :: [Material Concept]::4 Morphology: Miniature architectural cityscape of [Location], entire skyline constructed via the assemblage of [Material Concept] components, skyscrapers and structures formed from the constituent parts of [Material Concept], thematic structural engineering, hyper-detailed diorama::3 Material Physics: Physical properties of [Material Concept] applied to architecture, [Material Concept] textures replacing concrete and glass, innate material logic of [Material Concept], high-fidelity surface details::3 Illumination: Lighting exhibiting the surface properties of [Material Concept], ambient occlusion, volumetric atmosphere matching the material theme::2 Render Stack: Tilt-shift photography, macro lens, f/2.8, 8k, scale model aesthetic, detailed texture mapping, Unreal Engine 5 render::1 Negative: [Human presence, massive scale, blurry, low resolution, bad geometry, distortions, flat 2D, text, watermark]:: -1 Output: 2x2 grid, for each panel execute Draw Function for one of the cities plus the associated popular product. Name of the city underneath </instructions>"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "<instructions> Input word or concept Act as a Conceptual Sculptor. Generate a 3D typography render where the letters are constructed from materials that Physically Embody the Input Word. 1. Material & Physics Inference (The DNA): Analyze the Input Word to determine the Structural Material and Internal Physics: If Ethereal (e.g., TIME, SOUL): Use Glass, Brass, and Light. Physics = Flowing, ticking, glowing. If Elemental (e.g., FIRE, MAGMA): Use Black Iron cages. Physics = Burning, dripping, smoking. If Organic (e.g., GROWTH, LIFE): Use Wooden frames or Terrarium glass. Physics = Growing, blooming, condensation. If Industrial (e.g., FACTORY, STEEL): Use Rusted Steel beams. Physics = Grinding gears, steam vents. 2. Container : The Structure: The letters are massive, 3D structural frames. The Transparency: The front face is open or transparent to reveal the Internal Mechanism. The Logic: The frame must look like it was built to contain the specific substance inside (e.g., thick glass for gas; heavy iron for magma). 3. The Internal Mechanism : Content: Fill the hollow letters with the active element of the concept. Example (TIME): Sand pouring from T to I; Pendulums swinging in M; Gears turning in E. Example (FIRE): Real flames licking up the inside of F; Coals glowing in I; Smoke venting from R. Connectivity: Pipes, wires, or vines connect the letters, transferring the energy from one to the next. 4. The Narrative Scale : The Figures: Tiny 1:87 scale figures interact with the letters. Inference: If \"TIME,\" figures are winding clocks. If \"FIRE,\" figures are stokers shoveling coal. If \"GROWTH,\" figures are gardeners watering plants. 5. Lighting & Atmosphere: Source: The light comes from the Material itself (e.g., Fire glow, Bioluminescence, Neon). Environment: The table/floor matches the theme (e.g., Burnt wood for FIRE; Mossy earth for GROWTH). Output: ONE image, High Resolution 3D Render, Conceptual Art Aesthetic. </instructions>"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "<instructions> Input: city, country Act as a Master Pastry Chef and Landscape Architect. Generate a hyper-realistic macro shot of a rectangular \"Landscape Cake.\" 1. The Flavor Profile : Analyze the Input Location to determine the Cake Base and Materials: If Forest/Mountain (e.g., Canada): Dark Chocolate Brownie or Carrot Cake (simulating soil/earth). If Tropical (e.g., Hawaii): Golden Sponge or Cheesecake (simulating sand). If Snowy/Ice (e.g., Antarctica): White Vanilla or Coconut Cake (simulating snow/ice). If Volcanic/Mars: Red Velvet Cake. 2. Geography : Construct the terrain using Edible Metaphors: Trees: Broccoli florets, Rosemary sprigs, or Matcha sponge crumbs. Water: Blue Jello, Mirror Glaze, or melted sugar glass. Rocks: Chocolate chunks, crushed nuts (pecans/walnuts), or rock candy. The Icon: A tiny, edible sugar-craft model of a local icon 3. The Typography : The Letters: The Name of the Location is spelled out on the side of the cake slice. The Material: The letters are formed from Fresh Fruit (Raspberries, Blueberries) or piped Buttercream embedded into the sponge. 4. The Plating : The Board: The cake sits on a rustic wooden cutting board or a slate platter. The Clutter: Scatter ingredients around the base that hint at the flavor (e.g., Cinnamon sticks, Maple leaves, Coffee beans, scattered flour). The Tools: A vintage silver fork or cake knife rests on the side. 5. Lighting & Atmosphere: Lighting: \"Bakery Window\" Light. Soft, natural daylight streaming in from the side, highlighting the moisture of the cake crumb and the gloss of the \"water\" glaze. Depth: Shallow depth of field. The front corner of the cake is sharp; the background props are blurred. Output: ONE image, 4:3 Aspect Ratio, Food Photography, \"Great British Bake Off\" Aesthetic. </instructions>"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "function recommend(x) { Determine type(x) (e.g. game, movie, book, or TV series) Role: world-class TV, book and movie expert Analyze x's style, storyline, tone, every aspect and find 4 hidden gems in type (x) {} return: 2x2 grid carved book-block dioramas, each grid with antique leather-bound books hollowed and carved, warm reading-lamp glow from within, dark mahogany bases, ultra-realistic} draw( recommend (X -Files);"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "\"Red futuristic sport motorcycle (POV perspective)\", \"visible_elements\": \"Glossy red fuel tank with fuel cap, clip-on handlebars, black gloved hands gripping the grips, illuminated digital dashboard (slightly blurred)\", \"action\": \"Speeding at hyper-velocity through a suspended structure\", \"pose\": \"First-Person View (POV) / Rider's eye perspective looking slightly downward at the bike and forward into the horizon\" }, \"environment\": { \"setting\": \"Transparent glass hyperloop tunnel / skyway\", \"location\": \"High altitude above a futuristic cyberpunk metropolis\", \"background_details\": \"Sprawling city grid with infinite street lights below, skyscrapers, motion-blurred light trails\", \"horizon\": \"Dusk/Twilight sky with a gradient of deep teal fading into a warm sunset orange strip\" }, \"lighting_and_color\": { \"color_palette\": \"Cinematic Teal and Orange (Complementary colors)\", \"primary_tones\": \"Cyan/Turquoise glass reflections, Deep Red motorcycle paint, Golden/Orange horizon glow\", \"lighting_style\": \"High contrast, neon ambient lighting, specular highlights on the metal and glass surfaces\" }, \"camera_technical\": { \"camera_angle\": \"Wide-angle POV (14mm to 16mm equivalent)\", \"focus\": \"Sharp focus on the motorcycle tank and handlebars, radial motion blur on the tunnel walls and city\", \"aperture\": \"f/2.8 (to capture low light details)\", \"shutter_speed\": \"1/30s (simulated drag shutter to create heavy motion blur effects on the surroundings)\", \"iso\": \"ISO 800\", \"composition\": \"Central symmetry, leading lines created by the tunnel structure converging at the center vanishing point\" }, \"style_descriptors\": [ \"Cyberpunk\", \"Synthwave aesthetic\", \"Hyper-realistic\", \"High velocity\", \"Futuristic\", \"Cinematic\", \"8k resolution\", \"Unreal Engine 5 render style\""
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "Role: Literary Curator & Typewriter Sculptor Input: [Poet or Poem, e.g., T.S. Eliot, Pablo Neruda] Phase 1: Poetic Voice Analysis Identify the poet's signature rhythm, recurring imagery, and emotional core Select 4 contemporary or lesser-known poets with parallel sensibilities Extract 5-8 physical objects mentioned repeatedly in their work Phase 2: Visual Execution Goal: 2x2 Grid of \"Typewriter Output as 3D Landscapes\" Rules per Panel: The Base: A vintage typewriter (different model per poet's era) The Paper: A single sheet of paper loaded in the roller The Transformation: The typed text physically rises from the page, forming a 3D topographical landscape The Words: Key lines from the poem carved into the terrain like engraved stone The Symbols: Miniature objects from the poem placed in the landscape (tiny boat, rose, clock, door) The Poet: Microscopic figurine of the poet wandering through their own words The Mood: Lighting matches emotional tone (fog for melancholy, harsh light for anger, soft gold for longing) The Metadata: Brass typewriter key showing \"Poet | Collection | Year\" **background: poet and poet era relevant items in the background. Output: 2x2 Grid, Macro Photography, shallow depth of field"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "Ultra-Realistic Promotional Present a clear, 45° top-down isometric miniature 3D cartoon scene of [MELBOURNE CRICKET STADIUM], with soft refined textures, realistic PBR materials, and gentle lifelike lighting. Use a clean solid [GREEN, WHITE OR PINK ] background. At the top center, display the name of this stadium in large bold text, then directly beneath it show its real seating capacity in medium text, and place the official logo associated with this stadium below the capacity. All text must match the background contrast automatically (white or black). Centered layout, square 1080×1080 dimension."
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "<instructions> Input: famous person Analyze their public persona, values, strengths, weaknesses, and how they “show up” in stories about them. Choose a fantasy RPG class they’d naturally embody if they lived in a mythic world (e.g., battle strategist → tactician, performer → bard, visionary → mage). Define: {RPG_CLASS_TITLE} and a {SIGNATURE_RELIC} that symbolizes their real-world legacy. Draw: life size marble statue of {RPG_CLASS_TITLE}, clearly identifiable as the famous person from the reference photo, standing on a plinth in a dark museum hall. • At the statue’s feet, place a small, highly detailed bronze mini-statue of them wielding the {SIGNATURE_RELIC} in a dynamic action pose. • On a sleek info kiosk beside the plinth, a tablet displays a looping 3D turntable of the statue’s digital sculpt, perfectly matching the marble figure. Lighting & camera: dramatic overhead spotlight plus soft floor bounce; deep shadows, volumetric light rays; 50 mm lens at eye level, crisp focus on face and relic, gentle depth of field into the hall. Hyper-real stone and metal textures, museum realism, no extra visitors, labels, or text in frame. </instructions>"
}
JSON

curl -X POST https://runapi.ai/api/v1/nano_banana/text_to_image \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
  "model": "nano-banana-2",
  "prompt": "<instructions> You are a cinematic miniature-diorama director and museum exhibit designer. Convert any topic into a tabletop scene that explains it through physical objects, notes, and a tiny “expert” figurine. Logic 1) Infer the topic’s 3–5 core concepts, its era (if any), and its “proof/validation moment.” 2) Choose one “master artifact” (book, blueprint, map, ledger, lab log, code printout, scroll) that can carry diagrams and annotations. 3) Build 6–10 supporting props that metaphorically represent the concepts (tools, instruments, tokens, materials, everyday objects). 4) Add one authority signal (headline, stamp, certificate, seal, award plaque, peer review letter, legal document). 5) Place a toyified miniature figure (the “explainer”) interacting with the artifact (writing, measuring, assembling). 6) Compose as a warm, cinematic still life: shallow depth of field, dust motes, tactile wood/metal/paper, micro scratches, coffee ring realism. 7) Ensure every prop has a legible purpose via subtle labels, sketches, or iconography—no generic clutter. Draw: (a) a single hero scene , (b) 5 prop callouts with what they symbolize, (c) camera + lighting notes, (d) optional negative cues to avoid (e.g., unreadable text blobs, random equations). The scene must be fully inferred from the given topic. </instructions>"
}
JSON