Prompt

CinePixel

Gadgetify

@Gdgtify

View on

12Likes305ViewsJul 31, 2026

Customize prompt

Fill the fields below before opening the matching model workspace.

subjectRequired

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())

Output details

Media type: Image prompt
Task type: Text To Image
Dimensions: 1199 × 675
Aspect ratio: 1199:675

Model: other-image

Continue exploring

All Prompts

Prompt details: class procedural_particle_sim: def __init__(self, subject="[Subject]", particle="[Particle Type]

Reference preview

More like this

Prompt details: class procedural_particle_sim: def init(self, subject="[Subject]", particle="[Particle Type]