Ethereal Data Portraits of Four Astronomers AI Image Prompt
2x2 grid, generate for 4 famous astronomers: class ethereal_data_portrait: def __init__(self, subject="{argument name='astronomer name' default='[visionary_name]'}", field="{argument name='field of study' default='[field_of_study]'}"): self.background = "absolute pitch black void" self.layout = "high-end scientific documentary poster, 16:9 aspect ratio" def generate_visuals(self): # ai inference: deduce the elemental material based on the field elemental_matter = f"ai_infer(glowing, ethereal particles representing {self.field}, e.g., cosmic dust, bioluminescence, or electrical plasma)" # the portrait portrait = f"a side-profile portrait of {self.subject}, looking upward. their face and shoulders are not flesh, but physically composed entirely of the {elemental_matter}." # the data overlay technical_ui = f"crisp, thin gold and white vector lines. ai_infer(mathematical diagrams, orbits, or schematics specific to {self.subject}'s discoveries) overlaying the portrait." return [portrait, technical_ui, self.background] # execute: high contrast. the glowing elemental face must illuminate the thin vector lines of the technical ui.
Content: Code-driven structure defining subject, scene, style, composition, lighting, color, material, lens, and ratio: 2x2 grid, pitch black void background, 16:9 scientific documentary poster; subjects are 4 astronomers in side profile looking up, with face and shoulders composed of glowing particles; overlaid with crisp thin gold and white vector UI lines; high contrast, glowing elements illuminate the UI lines.
Pros: 1. Innovative code parameterization allows flexible substitution of astronomer and field; 2. Rich details provide clear visual guidance.
Cons: 1. Code format may be unfriendly for general users; 2. Requires AI inference for material, results may vary.
Reference image: No obvious reference-image dependency
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