一个适用于茶、咖啡及其他饮品的实验性 GPT Image 2 提示。它有些复杂，但能生成一些有趣的视觉效果。

An experimental GPT Image 2 prompt that works for tea, coffee and other drinks. It's a bit complex but produces some interesting visuals. 2 images, 1080x1080: do this for tea and wine => class fermentation_alcemy_dna: def __init__(self): self.subject = "[wine / beer / tea / coffee / fermented product]" self.parents = { "composition_parent": "artisanal process diagram — vertical flow layout, stage isolation, clean annotation margins", "atmosphere_parent": "monastic cellar ambiance — earthy warmth, slow-time mood, archival fermentation romance", "graphic_parent": "chemical process flow — temperature/ph curve elegance, microbial timeline, modular legend", "detail_parent": "barrel stave & leaf macro photography — tannin cross-section, roast gradient, cellular structure" } self.mutations = { "medium_mutation": "cork & oak barrel grain with faint tannin staining and recycled paper tooth", "information_mutation": "tasting/fermentation data formatted as luxury vintage tags + batch coordinates", "semantic_mutation": "the product is treated as both living alchemy and temporal archive", "scale_mutation": "macro vessel reveals micro microbial ecosystem and chemical transformation layers inside" } self. style_mix = {"composition_parent": 0.30, "atmosphere_parent": 0.25, "graphic_parent": 0.20, "detail_parent": 0.15, "mutations": 0.10} def generate_subject(self): subject = """create a vertical fermentation poster for [subject]. transform [subject] into a floating alchemical hero. layers reveal origin terrain, processing stages, microbial activity, flavor architecture, and cultural ritual. if a beverage, show harvest cycle, roast/oxidation curve, and tasting geometry. if a fermented food, show culture lineage, vessel interaction, and preservation logic. use semantic inference to fill missing details with iconic, specific, and visually meaningful choices.""" return render(subject, style_mix=self. style_mix, format="vertical poster, luxury fermentation editorial", typography="large title: [title]\nsubtitle: [region / vintage / method]\nmicrotext: [ph / brix / ferment code]", composition="one dominant hero. controlled vertical flow layers. secondary callouts. strong negative space. cellar alignment.", lighting="warm directional ambient light blended with archival paper grain. crisp material edges, restrained depth.", constraints="no clutter. no watermark. no generic ai food/drink render. no illegible type. no overdecorated background.")

一个适用于茶、咖啡及其他饮品的实验性 GPT Image 2 提示。它有些复杂，但能生成一些有趣的视觉效果。 2 张图片，1080x1080：为茶和葡萄酒执行此操作 => class fermentation_alcemy_dna: def __init__(self): self.subject = "[wine / beer / tea / coffee / fermented product]" self.parents = { "composition_parent": "artisanal process diagram — vertical flow layout, stage isolation, clean annotation margins", "atmosphere_parent": "monastic cellar ambiance — earthy warmth, slow-time mood, archival fermentation romance", "graphic_parent": "chemical process flow — temperature/ph curve elegance, microbial timeline, modular legend", "detail_parent": "barrel stave & leaf macro photography — tannin cross-section, roast gradient, cellular structure" } self.mutations = { "medium_mutation": "cork & oak barrel grain with faint tannin staining and recycled paper tooth", "information_mutation": "tasting/fermentation data formatted as luxury vintage tags + batch coordinates", "semantic_mutation": "the product is treated as both living alchemy and temporal archive", "scale_mutation": "macro vessel reveals micro microbial ecosystem and chemical transformation layers inside" } self. style_mix = {"composition_parent": 0.30, "atmosphere_parent": 0.25, "graphic_parent": 0.20, "detail_parent": 0.15, "mutations": 0.10} def generate_subject(self): subject = """create a vertical fermentation poster for [subject]. transform [subject] into a floating alchemical hero. layers reveal origin terrain, processing stages, microbial activity, flavor architecture, and cultural ritual. if a beverage, show harvest cycle, roast/oxidation curve, and tasting geometry. if a fermented food, show culture lineage, vessel interaction, and preservation logic. use semantic inference to fill missing details with iconic, specific, and visually meaningful choices.""" return render(subject, style_mix=self. style_mix, format="vertical poster, luxury fermentation editorial", typography="large title: [title]\nsubtitle: [region / vintage / method]\nmicrotext: [ph / brix / ferment code]", composition="one dominant hero. controlled vertical flow layers. secondary callouts. strong negative space. cellar alignment.", lighting="warm directional ambient light blended with archival paper grain. crisp material edges, restrained depth.", constraints="no clutter. no watermark. no generic ai food/drink render. no illegible type. no overdecorated background.")