Image prompt
A technical material transformation prompt for GPT Image 2 that uses mapping rules to realistically reconstruct objects in new materials while maintaining physical plausibility.
Copy directly into the target model and adjust for your input assets.
2x2 grid, {argument name="source object" default="b2 plane, moon landing scene"}, 2 other complex scenes with 4 fun materials -> translation_solve(source_object → target_material): source = [object] target_mat = [material] mapping_rules: - source.primary_function → target_mat.equivalent_function_in_new_material - source.surface_detail → target_mat.characteristic_texture * 2.0 - source.joinery_method → infer(connection_type from target_mat.physics) - source.weight_distribution → target_mat.density_logic * 1.5 - source.color_scheme → infer(natural_palette from target_mat.typical_hues) render( subject = source reconstructed_in target_mat, realism = "material properties must be physically plausible" * 1.8, detail = "zoomed macro view showing material authenticity" * 1.6, context = "isolated on complementary background" * 1.2 ) + studio_product_photography - (photoshop_texture_overlay / 5) - (impossible_material_behavior / 4) example: "{argument name="example source" default="sports car"} → {argument name="example material" default="woven rattan"}"
Original source details are kept for attribution and review.
GitHub source：YouMind-OpenLab/gpt-image-2-prompts-search
This page is adapted from YouMind OpenLab GitHub prompt libraries. License: MIT。