
2x2 grird, do this for 4 fashion movement of various decades, 16:9 class EditorialPoster: def __init__(self, topic): self.topic = topic self.resolution = self.resolve_auto_fields(topic) def resolve_auto_fields(self, topic): # Module 2: Copy & Facts self.title = generate_title(topic, max_words=5) self.tagline = generate_tagline(topic, min_words=3, max_words=8) self.labels = extract_key_points(topic, count=6-12, relationship="components") # principles/stages/types # Module 3: The Surreal Character Engine self.mechanism = infer_verb(topic) # e.g., "filtering", "branching", "accumulating" self.base_form = select_organism(self.mechanism) # human, animal, or object # CRITICAL: Transformation must be structural, not just accessories self.transformation = invent_structural_alteration(self.base_form, self.mechanism) self.pose = select_pose(topic, attitude="intriguing_uncanny") # Module 5: Geometry & Palette self.geometry = select_geometric_family(topic) # rays, arcs, ribbons, grids self.palette = derive_accent_colors(topic, count=2-6, mood="flat_matte_weathered") def verify_character_logic(self): # The "Thumbnail & Concept" Check assert is_structural(self.transformation), "Module 3: Must be anatomy/proportion, not accessories." assert fits_sentence(self.transformation, self.mechanism), "Module 3: Logic check failed." assert visible_at_thumbnail(self.transformation), "Module 3: Must read at small scale." assert not is_generic_cute_scary(self.pose), "Module 3: Avoid default emotional tropes." def render(self): self.verify_character_logic() # Module 1 & 6: Style Kernel canvas = Canvas(aspect="1:1", bg="warm_ivory", texture="subtle_analog_grain") # Hero: Grayscale, sculptural shading, stippling/halftone hero = render_grayscale_sculptural(self.base_form, self.transformation, self.pose, shading="fine_stippling", texture="tactile_print") # Module 4: Adaptive Layout layout = adaptive_composition( hero=hero, title=self.title, # Oversized, black, condensed, uppercase labels=self.labels, # Compact, high contrast geometry=self.geometry, # Connects hero to info palette=self.palette # Flat, matte accents ) return canvas.compose(layout, typography="extreme_contrast_hierarchy") EditorialPoster($ TOPIC).render()
This image was generated with GPT Image 2.5 by OpenAI. The prompt on this page is the exact text used to create it.
The example was generated with GPT Image 2.5 using: 1672:941 · Poster · Fashion · Vintage. Reusing these settings gives the closest match.
Copy the prompt as-is first, then replace only the subject while keeping the style, lighting, and composition keywords. Generate a few variations — outputs differ between runs.
Yes. Prompts work best as starting points — adjust descriptors, aspect ratio, or style tags to make the output your own.