Easy Prompt
Image GenerationImageAdvanced

Infographic / Edu Visual - Manga Scene Woodcraft Diorama

A structured design prompt to transform manga scenes into handcrafted woodcraft dioramas using marquetry logic and artisan wood textures.

Prompt Content

Copy and paste directly into your model or internal evaluation tool.

2x2 grid, do this for {argument name="scene" default="4 famous manga scenes"}: [scene_material_translation_engine]

vector_g (scene geometry) = [variable_scene] matrix_m (material world) = "{argument name="materials" default="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: {argument name="lighting" default="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.

Use Cases

Nano Banana Pro image generationReusable creative visual briefsImage model evaluation

Example outputs

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Reference Output

Gallery: https://youmind.com/en-US/nano-banana-pro-prompts?id=18508 Author: Gadgetify Original source: Twitter Post

Scoring Rubric

Check whether the image follows the subject, composition, style, aspect ratio, text, and negative constraints; prioritize the visual details explicitly listed in the prompt.

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