2x2 grid

2x2 grid, 16:9 AI picks subjects class OpArtSubjectField: def __init__(self, subject="[Subject]", palette="[Palette]"): self. style = "high-contrast optical art, kinetic poster,…

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This template is for 2x2 grid, 16:9 AI picks subjects class OpArtSubjectField: def __init__(self Confirm the input, output ratio, and publishing context before you generate.

Inputs: Start with a text prompt.
Output planning: video or motion output; aspect ratios: set by the tool.

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subject*palette*

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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.

Complete required fields: subject, palette

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