Promptkoi

Hand-Drawn Mushroom Botanical Study

ChatGPT (DALL·E)
By Varun Sharma Tested with ChatGPT (DALL·E) GPT Image 2

Hand-Drawn Mushroom Botanical Study is a tested ChatGPT (DALL·E) GPT Image 2 prompt for wall art work. It runs at ChatGPT (DALL·E) GPT Image 2 · Aspect ratio 4:5, and ships below with the exact prompt text, usage notes, and 2 pasteable variations.

Last tested: July 2026 with ChatGPT (DALL·E) GPT Image 2

Part of the ChatGPT (DALL·E) prompt library · see more botanical prompts .

Hand-drawn mushroom botanical study with ink outlines and watercolor washes on aged paper
Hand-Drawn Mushroom Botanical Study — ChatGPT (DALL·E) GPT Image 2, Aspect ratio 4:5

How to use this prompt

Three distinct mushroom shapes give the study visual variety; similar caps make it repetitive. Ink outlines must be darker than the watercolor washes so the forms read clearly. "Labeled areas left blank" tells DALL-E to leave clean space instead of garbled fake text. Aged paper texture unifies the set and keeps it from looking like a digital print. If the mushrooms look cartoonish, add "scientific accuracy" and keep colors muted. 4:5 fits a vertical study sheet. Cross-section view of one mushroom adds educational value.

Variations to try

  • Color version: brighter watercolor on clean cream paper for a kitchen print
  • Forest version: add moss and fallen leaves around the mushrooms
botanical vintage wall art

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For developers — copy this prompt as JSON
{
  "title": "Hand-Drawn Mushroom Botanical Study",
  "prompt": "hand-drawn mushroom botanical study, chanterelle, porcini, and fly agaric, delicate ink outlines, soft watercolor washes, vintage scientific illustration, labeled areas left blank, aged paper texture, no text",
  "model": "ChatGPT (DALL·E)",
  "model_version": "GPT Image 2 (ChatGPT)",
  "settings": {
    "aspect_ratio": "4:5"
  },
  "style_tags": [
    "botanical",
    "vintage"
  ],
  "use_case_tags": [
    "wall-art"
  ],
  "source_url": "https://promptkoi.com/prompts/dalle/hand-drawn-mushroom-botanical/"
}

The whole library is available as an open JSON dataset · developer docs.

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