Prompt

CinePixel

Gadgetify

@Gdgtify

View on

23Likes596ViewsAug 7, 2026

Customize prompt

Fill the fields below before opening the matching model workspace.

subjectRequiredpaletteRequired

2x2 grid, 16:9 AI picks subjects class OpArtSubjectField: def __init__(self, subject="[Subject]", palette="[Palette]"): self. style = "high-contrast optical art, kinetic poster, graphic abstraction" self.canvas = "full-bleed pattern field" self.subject = subject self.palette = AI_INFER("3-5 colors that match SUBJECT mood, habitat, symbolism, or brand energy") def infer_subject_silhouette(self): return AI_INFER( "the most recognizable silhouette, posture, outline, or profile of SUBJECT" ) def build_pattern_field(self): return """ Fill the entire canvas with hundreds or thousands of repeated units. Units may be petals, scales, tiles, crescents, stripes, waves, discs, feathers, blades, shards, or glyph-like marks. The subject is not outlined directly. The subject emerges because the repeated units change scale, direction, spacing, brightness, and color inside the subject zone. Background units continue the same visual language but flow differently. """ def illusion_rules(self): return """ From far away: SUBJECT must be readable. From close up: only repeated abstract units are visible. No hard outline, no direct drawing, no pasted silhouette. The pattern itself carries the shape. """ # EXECUTE: # Render SUBJECT as a kinetic Op Art field where repeated units form the hidden figure.

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: 2x2 grid, 16:9 AI picks subjects class OpArtSubjectField: def __init__(self, subject="[Subject]"

Reference preview

More like this

Prompt details: 2x2 grid, 16:9 AI picks subjects class OpArtSubjectField: def init(self, subject="[Subject]"