![: class procedural_particle_sim: def __init__(self, subject="[$subject]…, 图片 1](https://neg.omai.cc/images/2082994402390331550/1.jpg)
PROMPT RECORD · 公开作品详情
: class procedural_particle_sim: def __init__(self, subject="[$subject]…
公开 AI 图像创作记录,包含原图、提示词、使用模型、作者、标签与来源。
- 使用模型
- None
- 创作者
- @Gdgtify
- 发布时间
- Fri Jul 31 00:59:00 +0000 2026
- 图片数量
- 1 张
完整提示词
源提示词按原始换行与标点完整保留: 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())