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Woodcraft marquetry of 4 manga scenes in 2x2 grid

Woodcraft marquetry of 4 manga scenes in 2x2 grid AI Image Prompt

Prompt

2x2 grid, do this for 4 famous manga scenes: [scene_material_translation_engine] vector_g (scene geometry) = [variable_scene] matrix_m (material world) = "walnut, maple, ebony-stained wood, veneer layers, carved wood, sawdust" variables: [variable_scene] = "[insert any scene here]" equation: vector_g ⊗ matrix_m = render_target [scene_decomposition_rules] the ai must infer all major and minor components of [variable_scene] and re-create them entirely using woodcraft and marquetry logic. [mapping_constraints] - replace 100% of the original materials with wood-based materials only. - no real metal, glass, fabric, stone, rubber, plastic, or water may remain. - every object must appear carved, laminated, veneered, inlaid, polished, or dusted with sawdust. - grain direction and wood type should help define structure and detail. [composition] macro artisan-object photography. the scene is displayed as a miniature handcrafted wood diorama on a dark lacquered base. [visual_execution] render the render_target. lighting: warm premium workshop lighting texture: visible wood grain, layered veneer edges, polished surfaces, fine carved detail, sawdust residue. the scene must read instantly, while clearly existing as wooden craftsmanship.

AI Image Content Analysis

Content: Formulaic structure: subject scene (variable), material world (wood), decomposition rules, mapping constraints (all-wood replacement), composition (macro wood diorama), visual execution (grain, polish, etc.).

Pros: Highly modular, allows arbitrary scene and material substitution

Cons: Relies on variable filling, lacks specific scene description

Reference image: No obvious reference-image dependency

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