PROMPT RECORD图像记录

: class procedural_particle_sim: def __init__(self, subject="[$subject]", particle="[$particle_t...

中文说明

: class procedural_particle_sim: def __init__(self, subject="[$subject]", particle="[$particle_type]"): self.canvas = "infinite light-grey 3d void, soft shadow-catcher floor, studio ambient occlusion." self.geometry = f"a 3d mesh of {self.subject} completely voxelized into thousands of tiny, dense {self.particle}s." def apply_kinetic_forces(self, narrative="...

原始 Prompt

: class procedural_particle_sim:     def __init__(self, subject="[$subject]", particle="[$particle_type]"):         self.canvas = "infinite light-grey 3d void, soft shadow-catcher floor, studio ambient occlusion."         self.geometry = f"a 3d mesh of {self.subject} completely voxelized into thousands of tiny, dense {self.particle}s."      def apply_kinetic_forces(self, narrative="[$force_narrative]"):         # ai auto-inference: calculate wind, turbulence, and attractors         force_vector = infer_directional_velocity(narrative)         swarm_logic = f"a massive, dense cloud of {self.particle}s filling the left frame, trailing and interacting with the {self.subject} via {force_vector}."         return swarm_logic      def render_settings(self):         return "octane render, path tracing, perfectly spherical particles, deep micro-shadows between intersecting points, monochrome dark grey material."  render_simulation(procedural_particle_sim())