Dataset edition · published October 4, 2026 · schema v2

AI Image Prompt Statistics: 2026-10-04 Edition

This is the current edition and the permanent citation URL for its numbers. The AI image prompt statistics hub always shows the latest edition with explanations.

This edition describes the published PicGens prompt corpus as of 2026-10-04: 3,698 public creator prompts, counted by stored model label, keyword-assigned category tag and source-post month, plus prompt-anatomy, image, colour and engagement medians. It is a first-party corpus description — not search demand, rankings, market share or a measure of model quality.

Key takeaways

Edition 2026-10-04 · 14 statistics

  1. 1.The PicGens AI image prompt corpus held 3,698 published prompts on October 4, 2026. (PicGens, 2026-10-04)
  2. 2.GPT Image 2 is the AI image model creators share the most prompts for: 56.6% of published prompts (2,094 of 3,698). (PicGens, 2026-10-04)
  3. 3.The Nano Banana family (Nano Banana, Nano Banana 2 and Nano Banana Pro) accounts for 22.8% of published prompts (843). (PicGens, 2026-10-04)
  4. 4.The corpus grew 0.0% since the 2026-09-10 edition, from 3,698 to 3,698 published prompts. (PicGens, 2026-10-04)
  5. 5.Midjourney added 3 prompts since the 2026-09-10 edition, moving its share from 3.1% to 3.2%. (PicGens, 2026-10-04)
  6. 6.Portraits is the most common use case: 56.3% of published prompts carry the Portraits tag (2,081). (PicGens, 2026-10-04)
  7. 7.The median AI image prompt is 1,062 characters (148 words) long; the middle half of prompts run 561–1,793 characters. (PicGens, 2026-10-04)
  8. 8.Nano Banana 2 prompts are the longest (median 1,301 characters) and Nano Banana prompts the shortest (median 433.5) among models with at least 30 prompts. (PicGens, 2026-10-04)
  9. 9.4.4% of prompts (164) are written entirely as structured JSON. (PicGens, 2026-10-04)
  10. 10.24.6% of prompts (910) contain a fill-in [bracket] or {{slot}} placeholder. (PicGens, 2026-10-04)
  11. 11.39.0% of prompts (1,441) ask for visible text in the image, such as a headline, label or slogan. (PicGens, 2026-10-04)
  12. 12.30.0% of prompts name an explicit aspect ratio; 4:5 is the most requested (346 prompts). (PicGens, 2026-10-04)
  13. 13.Brown is the most common dominant colour, tagged on 37.7% of images with colour data. (PicGens, 2026-10-04)
  14. 14.The median source post behind a prompt has 104 likes; Nano Banana Pro posts lead with a median of 302 likes. (PicGens, 2026-10-04)

Every figure is computed from PicGens’ own published prompt corpus and can be reproduced from the CSV or JSON of this edition. Shares use all published prompts as the denominator unless stated otherwise.

How to cite these statistics

Cite the dated edition, not this page’s latest view: the edition URL and its files never change, so a quoted number stays verifiable after the corpus grows.

Suggested citation

PicGens. (2026, October 4). AI Image Prompt Statistics 2026 (edition 2026-10-04) [Data set]. https://www.picgens.com/research/prompt-trends/2026-10-04

Short attribution

Source: PicGens, AI Image Prompt Statistics 2026, edition 2026-10-04 (https://www.picgens.com/research/prompt-trends/2026-10-04)

Published prompts

3,698

Rows where is_published = true on the edition date.

Model labels

10

“Unlabelled model” stays visible; no model is inferred from prompt wording.

Latest ingest

2026-09-10

Latest represented source date: 2026-08-14.

Published prompts by stored model label

GPT Image 2 is the largest group in this edition, with 2,094 prompts (56.6%). These are corpus counts only: they do not measure which model is best, most used overall or more likely to reproduce a result.

Model label counts in the 2026-10-04 PicGens edition
Stored keyLabelPublished promptsShare
gpt-image-2GPT Image 22,09456.6%
nanobanana-proNano Banana Pro46512.6%
unknownUnlabelled model45712.4%
nanobanana-2Nano Banana 22847.7%
midjourneyMidjourney1183.2%
nanobananaNano Banana942.5%
seedreamSeedream882.4%
seedanceSeedance581.6%
gpt-image-1GPT Image 1391.1%
veoVeo10.0%

Published prompts by category tag

Category tags are assigned from prompt-text keywords. A prompt can carry more than one tag, so category totals intentionally do not add up to the corpus total.

Category tag shares in the 2026-10-04 edition
  • Portraits56.3% (2,081)
  • Posters & visuals42.6% (1,575)
  • Illustration & 3D34.4% (1,273)
  • Ads & product23.5% (868)
  • Prompt templates12.6% (467)
  • Brand & logo10.1% (374)
  • Video7.8% (290)
  • Wallpaper4.7% (175)
  • UI & interfaces1.8% (65)
  • Charts & infographics1.7% (63)

Prompt anatomy

Median prompt length is 1,062 characters (148 words); the mean is 1,364.3 characters and the middle half runs 561–1,793. Shares below use the 3,698 prompts with text as the denominator; per-model rows need at least 30 prompts.

Prompt anatomy in the 2026-10-04 edition
Prompt featurePromptsShare of 3,698
Structured JSON prompts1644.4%
Fill-in [slot] or {{slot}} placeholders91024.6%
Ask for visible text in the image1,44139.0%
Name an explicit aspect ratio1,11030.0%
Name a camera setting (mm, f/, ISO, shutter)69418.8%
Written mainly in Chinese, Japanese or Korean2306.2%
Per-model prompt statistics in the 2026-10-04 edition (models with at least 30 prompts)
ModelPromptsMedian charsMedian wordsJSONSlotsIn-image textMedian likes
GPT Image 22,0941,2241694.6%23.2%47.7%95
Nano Banana Pro46597813510.5%29.0%37.4%302
Unlabelled model457645810.7%36.8%24.3%102
Nano Banana 22841,3011952.5%21.1%27.8%107
Midjourney11854873.50.0%19.5%13.6%116
Nano Banana94433.567.54.3%14.9%19.1%85.5
Seedream88971134.50.0%15.9%23.9%89
Seedance58565770.0%3.4%13.8%91.5
GPT Image 1391,18916412.8%23.1%38.5%205

Aspect ratios named in prompts

Aspect ratio mentions as a share of prompts with text
  • 4:59.4% (346)
  • 9:169.4% (346)
  • 3:45.7% (210)
  • 1:12.7% (99)
  • 16:91.7% (63)
  • 2:31.5% (56)
  • 3:20.5% (17)
  • 4:30.2% (8)
  • 21:90.1% (2)
  • 2:10.1% (2)
  • 1:20.0% (1)
  • 9:210.0% (1)

Dominant colour tags

Dominant colour tags as a share of images with colour data
  • Brown37.7% (1,382)
  • Orange29.1% (1,065)
  • Black23.2% (851)
  • White16.2% (595)
  • Blue16.2% (594)
  • Gray16.1% (592)
  • Red9.3% (342)
  • Pink5.8% (211)
  • Yellow5.5% (201)
  • Green4.6% (169)
  • Cyan3.4% (123)
  • Purple1.3% (49)

Image orientation (3,658 images with dimensions): 73.2% portrait, 15.0% landscape, 11.8% square. Engagement (3,231 source posts): median 104 likes and 45 bookmarks; median 5,208 views across 3,231 posts with a view count.

Published prompts by source-post month

The month dimension uses the stored source-post timestamp, not the ingest date. It covers the 3,231 prompts that carry a source-post date, so it does not sum to the corpus total. It describes when the represented public examples were posted; it is not a time series of demand or traffic.

Source-post month counts in the 2026-10-04 PicGens edition
MonthPrompts
2023-101
2025-043
2025-051
2025-074
2025-081
2025-093
2025-101
2025-117
2025-1240
2026-01144
2026-02113
2026-0359
2026-0488
2026-05184
2026-061,261
2026-071,214
2026-08107

Method

Aggregated the 3,698 published rows of the static PicGens catalog snapshot 079d7405 dated 2026-10-04 with scripts/generate-prompt-trends.mjs (metrics prompt-stats-v1).

  • Count rows by stored model label, existing category tag and source-post month; keep “unknown” as a visible bucket instead of inferring a model from prompt wording.
  • Prompt-anatomy metrics (length, JSON, template slots, in-image text, aspect ratios, camera settings, script) are computed from prompt text inside the generator; only counts, medians and definitions are published.
  • Per-model medians and shares are published only for models with at least 30 rows.
  • Do not expose raw prompt contents, row identifiers, creator handles, private fields or per-row behaviour.

Copy rate: unavailable — no copy event export was authorised for this snapshot.

Limitations

  • The latest ingested row is 2026-09-10 and the latest source-post date represented is 2026-08-14; this is a dated snapshot, not a live trend feed.
  • The corpus is public creator posts PicGens indexes after screening (minimum likes at collection, a verified prompt, quality and takedown review); it is not a sample of all AI image generation and not model market share.
  • Category tags are keyword-assigned and can overlap, so category totals are not expected to sum to the corpus total.
  • 467 of 3,698 rows carry no source-post timestamp (catalogued templates), so month and engagement figures cover 3,231 rows.
  • Text detectors (JSON, template slots, in-image text, aspect ratios, camera settings) are documented pattern matches, not human review; expect a small error rate in both directions.
  • Engagement counts are stored at the last stats refresh and skew towards posts that passed the collection likes floor.

No raw prompt text, row IDs, creator handles, source URLs, private fields or per-row behaviour are distributed with this edition.

Metric definitions

published_prompts
Rows of the PicGens catalog that are published (is_published = true) on the edition date, after takedowns and blocked creators are removed.
model_share
Published prompts carrying a stored model label divided by all published prompts. "Unlabelled model" is a visible bucket; no model is inferred from prompt wording.
category_share
Published prompts carrying a category tag divided by all published prompts. Tags are assigned from prompt-text keywords and can overlap, so shares do not sum to 100%.
source_month
Calendar month (UTC) of the source post timestamp. Rows without a source-post timestamp (catalogued templates) are excluded from this dimension.
prompt_rows
Published prompts with non-empty prompt text: the denominator for every prompt-anatomy share.
length_chars
Prompt length in Unicode code points after trimming surrounding whitespace.
length_words
Number of whitespace-separated tokens after trimming. Chinese, Japanese and Korean text has few spaces, so word counts understate those prompts; use characters to compare across languages.
structured_json
The whole prompt (after trimming and removing an optional Markdown code fence) parses as a JSON object or array.
template_slots
The prompt contains at least one fill-in slot: [text] or {{text}} of 1–60 characters with at least one letter, no quotation marks or line breaks, and not followed by "(" (a Markdown link).
in_image_text
The prompt asks for visible text in the image: it uses a text-rendering term (text, lettering, typography, typeface, font, headline, caption, subtitle, slogan, tagline, wordmark, logotype, signage, "the words"; 文字/字样/标题/文案/テキスト/텍스트) or introduces a quoted string with says/reads/title/label/sign/banner — after removing negations such as "no text", "without lettering" or "text-free".
aspect_ratio_mention
The prompt names an explicit aspect ratio W:H from this list: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9, 9:21, 2:1, 1:2 (e.g. "--ar 16:9" or "9:16 framing"), not preceded or followed by another digit, dot or colon.
camera_spec
The prompt names a camera setting: a focal length (e.g. 85mm), an aperture (f/1.8), an ISO value (ISO 200) or a shutter speed (1/250s).
cjk_script
At least 30% of the letters in the prompt are Chinese, Japanese or Korean characters.
image_orientation
From the stored width and height of the first published image: portrait (height > width × 1.05), landscape (width > height × 1.05), otherwise square. Rows without stored dimensions are excluded.
color_tags
Up to three dominant-colour buckets per image, extracted from the thumbnail palette. Share = images carrying the colour divided by images with any colour tag.
engagement
Likes, bookmarks and views of the source post as stored at the last stats refresh, for rows with a source-post timestamp. Views are counted only where a non-zero view count was stored. Medians, not means, because counts are heavily skewed.

Other dated editions

Machine-readable access

Agents and researchers can use the JSON or CSV distribution as a stable, dated citation target. The files hold aggregate dimensions, medians and the metric definitions they were computed with; they do not expose individual creator content or grant rights to reuse any source image or prompt.

For prompt workflows, see the prompt guides, the prompt variable analyzer and the image ratio recommender. For the live gallery, browse model collections and use-case collections.