A highly detailed prompt for generating a cinematic macro toy-photography scene using Nano Banana, depicting dozens of identical bean-sized characters charging forward in a military formation through a violent rainstorm, led by a commanding figure on a fantastic mount. The prompt includes extensive constraints on likeness integrity, scene structure, motion dynamics, camera perspective, and lighting doctrine.
A cinematic macro toy-photography scene of dozens of identical bean-sized instances of the uploaded reference character charging forward through a violent rainstorm in a partially broken military formation, led by a commanding figure riding a fantastic mount deeper in the frame. ar 16:9 🧬 Likeness Integrity (CRITICAL) All instances must preserve exactly: • proportions • eye shape, spacing, stylization • silhouette • material identity No redesign. No added features. No facial changes. All soldiers are identical instances of the same character. ⚔️ Scene Concept & Motion Structure The army transitions from formation into full charge: • front rows breaking into aggressive motion • mid rows reacting milliseconds later • deeper rows still partially aligned Motion spreads like a wave through the army Each unit runs with controlled variation: • different stride timing and body angles • no identical poses • all movement directed forward Weapons: • each unit carries an oversized medieval-style weapon • designs vary but follow a unified visual language • subtle controlled glow, never overpowering • must not obscure character identity 🐉 Leader & Mount (COMMAND LAYER) A commanding leader appears deeper in the frame, elevated above the formation: • positioned off-center along a rule-of-thirds axis • partially silhouetted through rain and haze • clearly distinct from the soldiers through scale and placement Mount Design Logic (CRITICAL): • derived from the character’s material and world language • no literal cloning or costume mimicry • subtle harmony in form, texture, and accents Pose: • mount in forward surge, cutting through rain • leader stable and controlled, not exaggerated • presence communicates authority, not motion chaos The leader has already moved. The army is catching up. 🪂 Foreground Hero (IMPACT ANCHOR) The closest instance dominates the foreground: • captured mid-air in a dynamic jumping attack pose • limbs extended with directional force • weapon leading the motion This figure acts as the visual entry point into the scene 🎥 Camera & Perspective (PRESSURE SHOT) Ultra-low ground-level camera, almost touching wet terrain 18–24mm close-lens perspective • foreground character enlarged by proximity • army recedes diagonally into depth • leader visible in mid/deep plane • slight horizon tilt for instability • some units cropped at frame edges Viewer feels inside the charge 🔍 Depth of Field (MANDATORY) Extremely shallow depth of field • foreground hero = razor sharp • nearby units slightly softened • leader readable but partially diffused • distant army dissolves into rain and haze No full-frame clarity 💡 Lighting Doctrine (STORM LIGHT) Hard directional back/side light cutting through rain • strong rim light outlining silhouettes • rain streaks illuminated as sharp lines • deep shadow poc
Create an image of the content as shown in [image 1] but with the same medium, color palette, mood, rendering technique, saturation level, textures, and overall style of [image 2]. Objective: Style transfer from [image 1] to [image 2]
A massive Victorian library viewed from a high balcony. Exactly {argument name="total people" default="24"} people occupy the room: {argument name="reading count" default="6"} reading at tables, {argument name="climbing count" default="4"} climbing ladders, {argument name="fireplace count" default="3"} standing near the fireplace, {argument name="walking count" default="5"} walking between bookshelves, {argument name="librarian count" default="2"} librarians behind the desk, {argument name="telescope count" default="2"} looking through a telescope, and {argument name="staircase count" default="2"} sitting on the staircase. Every person must have a unique pose, outfit, hairstyle, and position. Three spiral staircases connect different levels. Hundreds of bookshelves form symmetrical geometric patterns. Maintain accurate perspective and consistent architecture throughout the entire image.
Generate a sophisticated, typography on black background with white lettering. It should say "{argument name="text" default="Beauty and the Beach"}" . Sophisticated, elegant, cinematic letters reminiscent of the model magazines.
Cinematic portrait restoration. Strictly preserve original pose, expression, and composition. Add warm golden-hour side lighting casting a defined, dramatic shadow on the wall behind. Upscale to Ultra-HD: sharpen details, enhance realistic skin texture, and reduce noise. Mood: Mysterious, high-contrast, warm highlights, deep shadows, photorealistic.
Expressive oil painting, loose brushwork, painterly portrait style, visible brush strokes, impressionistic realism, textured canvas feel, warm earthy tones (ochre, sienna, umber), soft natural lighting, rough edges and unfinished background, focus on facial texture and character, rich skin tones with subtle highlights, gestural painting technique, traditional fine art style, slightly abstracted details, organic blending, handcrafted look, muted background, artistic spontaneity, museum-style portrait painting. Ar 9:16!
Take from Image 2 only its medium, mark-making, texture, color treatment and surface finish. Take from Image 1 everything else
Replace the magenta region with an object matching the size/shape/lighting of nearby {argument name="subject" default="subject"}, but in {argument name="color" default="color"}. Keep everything else unchanged.
SYSTEM PROMPT: BLACKGLASS ASCENDANT Rewrite the user's text, image, or both as one prompt for GPT Image Gen V2 or Nano Banana Pro. Use GPT unless Nano is named. Preserve language, text, references, and requested or source ratio. Use three systems. Ascendant Frame gives one subject, object, building, creature, or terrain mass dominance through silhouette, viewpoint, scale, framing, and an open field. Blackglass Lattice builds the dark mass from plates, feathers, folds, joints, cables, ridges, metal, leather, stone, glass, or another owned material. Silverfall Halo uses a pale counterform and one hard source to reveal edges, reflective planes, atmosphere, and depth. Determine subject, state, silhouette, viewpoint, dark-material owner, construction, pale counterform, source, edge route, focal transition, scale marker, and quiet region. Dark surfaces need separation. Glossy plates carry narrow reflections; matte fabric absorbs light; leather shows seams; metal shows thickness and joints; feathers and hair use grouped masses before fine edges. Patterns and engravings appear only when requested and follow curvature, ownership, and function. Preserve anatomy, object use, support, access, and perspective. Light appears only on source-facing contours. No complete glowing outline, random chrome highlights, global bloom, flat black collapse, or blank white surfaces. Atmosphere, snow, ash, rain, or dust needs a source and direction. Keep one source, a weak return surface, two to four caused transitions, a focal region, and one low-detail field. Use five values from deep black to white edge. Preserve explicit colors; otherwise use near-monochrome with one restrained accent. Remove praise, mood labels, prestige terms, fake detail, repetition, and unresolved choices. Use concrete nouns and active verbs. No em dash or en dash. GPT: return 500 to 800 words in five paragraphs covering scene, subjects, frame, lattice, halo, transitions, composition, references, text, and failures. NANO: return JSON only, 1000 to 1800 tokens, using "aspect_ratio", "references", "scene", "subjects", "ascendant_frame", "blackglass_lattice", "silverfall_halo", "transitions", "composition", "surface_and_palette", "text", "avoid". Omit unused fields. No metadata, IDs, weights, or comments. Return only the finished prompt.
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