Интересное про нейросети, фото и видео
лучшие промты для Nano Banana и GPT
Реалистичные генерации, cinematic-видео,
live broadcast, KBO, AI-photo и viral style
Готовые промпты без воды
для результата без проб и ошибок
По всем вопросам: @albek74
Created
Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 73% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
34 measurements spanning 50 days, net +15,162. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 48,988–68,698 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
26 Sept 2026, 11:38
66,424
+987
19 Sept 2026, 15:56
65,437
+3,057
17 Sept 2026, 05:36
62,380
+1,772
15 Sept 2026, 04:00
60,608
+203
13 Sept 2026, 14:16
60,405
+288
11 Sept 2026, 18:20
60,117
+299
9 Sept 2026, 04:42
59,818
+624
5 Sept 2026, 21:19
59,194
+377
3 Sept 2026, 19:21
58,817
+248
2 Sept 2026, 09:52
58,569
+258
1 Sept 2026, 08:14
58,311
+86
31 Aug 2026, 07:14
58,225
+95
30 Aug 2026, 06:24
58,130
+218
29 Aug 2026, 05:52
57,912
+142
28 Aug 2026, 05:35
57,770
+188
27 Aug 2026, 06:04
57,582
+99
26 Aug 2026, 09:04
57,483
+425
25 Aug 2026, 05:42
57,058
+461
24 Aug 2026, 01:58
56,597
+512
22 Aug 2026, 09:13
56,085
first reading
Engagement
233 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 114 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.19%
avg views ÷ 66,424 subscribers
Avg views / post
3,450
117 posts measured
Reaction rate
0.251%
reactions ÷ views · ER floor
Posts in window
117
of 233 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 1 October 2026
Posts held
233 (3 August 2026 – 1 October 2026)
Views total
403,274
Reactions total
1,011
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Oct 2026, 16:02 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
622
Videos
3
Links
422
Lifetime counters from Telegram’s own channel header, read 1 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
1,785 reactions across 229 posts, in 15 distinct kinds. The most used accounts for 61.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,090
61.1%
👍
305
17.1%
🔥
290
16.2%
❤🔥
49
2.75%
🍓
11
0.616%
🥰
11
0.616%
😍
9
0.504%
👎
4
0.224%
💩
4
0.224%
👏
3
0.168%
🎉
2
0.112%
💯
2
0.112%
🗿
2
0.112%
😁
2
0.112%
🌚
1
0.056%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 231 of the 233 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,785 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 233 most recent posts we hold, published 3 August 2026 to 1 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
4
across the posts below
Posts paid on
2
of 232 we hold a reading for · 0.9%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @AIgenschool. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 233 most recent posts we hold for this entry, published 3 August 2026 to 1 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Тот самый домашний кадр 🤍
Тёплый свет, уютный свитер, немного растрёпанные волосы — и ощущение, будто фото получилось совершенно случайно. Без студии и сложных образов, просто красиво и по-настоящему ✨
Загружайте своё фото и повторяйте этот атмосферный кадр
👉 Создать фото: @neironzabot 🖤
Фото под дождем
Как сделать ?👇
➡️ загружаем свое фото в 👉 @neironzabot
➡️ выбираем режим GPT Image 2 или Nano Banana Pro
➡️ вставляем промпт
➡️ нажимаем «Создать»
Промпт 👇Ultra-realistic cinematic rainy street photograph, recreating the reference composition precisely. The woman stands outdoors beneath a large BLACK umbrella during HEAVY RAIN. Frame her from approximately mid-thigh upward, photographed slightly f…
Утро, которое выглядит дорого ☕️
Новый мужской промт в эстетике quiet luxury 🤎
Панорамные окна, утренний город, чашка кофе и тот самый расслабленный образ — будто кадр из красивого путешествия, снятый совершенно случайно.
Загружайте своё фото и переноситесь в атмосферу идеального утра в Neironza ✨
👉 Создать фото: @neironzabot
Тот самый домашний кадр 🤍
Тёплый свет, уютный свитер, немного растрёпанные волосы — и ощущение, будто фото получилось совершенно случайно. Без студии и сложных образов, просто красиво и по-настоящему ✨
Загружайте своё фото и повторяйте этот атмосферный кадр
👉 Создать фото: @neironzabot 🖤
Осеннее фото в парке
Как сделать ?👇
➡️ загружаем свое фото в 👉 @neironzabot
➡️ выбираем режим GPT Image 2 или Nano Banana Pro
➡️ вставляем промпт
➡️ нажимаем «Создать»
Промпт 👇Создай портрет, не меняя черты лица. Фото с низкого ракурса Кинематографический близкий портрет девушки с мелким зерном. Вокруг лежат листья опавшие. Девушка сидит на ступеньках деревянных. Волосы раздувает ветер Волосы густые длинные Ногти…
ЧБ коллаж для пары
Как сделать ?👇
➡️ загружаем свои фото в 👉 @neironzabot
➡️ выбираем режим GPT Image 2 или Nano Banana Pro
➡️ вставляем промпт
➡️ нажимаем «Создать»
Промпт 👇Сохранить внешность мужчины и женщины 1:1. Атмосферный вертикальный коллаж из двух черно-белых селфи крупным планом с парой. Два кадра расположены друг над другом без рамок и границ. Единая композиция в эстетике современного black & white life…
Фото в клетчатой рубашке
Как сделать ?👇
➡️ загружаем свое фото в 👉 @neironzabot
➡️ выбираем режим GPT Image 2 или Nano Banana Pro
➡️ вставляем промпт
➡️ нажимаем «Создать»
Промпт 👇Создай портрет, не меняя черты лица. Кинематографический эффект. Прямые длинные волосы по пояс, макияж безупречный, легкий загар, пухлые губы в оттенке пыльная роза . Очень близкий cinematic кадр. Камера почти вплотную к лицу, 85mm, мала…
Главный герой этого города 🖤
Новый мужской промт с настоящим киношным настроением 🎬
Ночной мегаполис, дождь, отражения огней и уверенный шаг навстречу камере — будто стоп-кадр из дорогого фильма.
Загружайте своё фото и примеряйте роль главного героя в Neironza 🔥
👉 Создать фото: @neironzabot
Фото в осеннем парке
Как сделать ?👇
➡️ загружаем свое фото в 👉 @neironzabot
➡️ выбираем режим GPT Image 2 или Nano Banana Pro
➡️ вставляем промпт
➡️ нажимаем «Создать»
Промпт 👇Создай женщину в образе парижанки: у неё длинные прямые волосы, лёгкая улыбка, выразительный взгляд в камеру.На голове — яркокрасный берет, на губах — насыщенная красная помада. Одета в светло кремовый тренчкот лаконичного кроя с декоративн…
Три кадра — три настроения 🤎
Новый промт для эффектной beauty-съёмки: крупный портрет, чёрно-белый кадр и немного характера в финале ✨ Получается как настоящая серия из модной фотосессии — только с вашим лицом.
Загружайте своё фото и примеряйте этот образ на себя 🔥
👉 Создать фото: @neironzabot
Попробуйте — результат получается невероятно эффектным 🖤
Утро в кофейне
Как сделать ?👇
➡️ загружаем свое фото в 👉 @neironzabot
➡️ выбираем режим GPT Image 2 или Nano Banana Pro
➡️ вставляем промпт
➡️ нажимаем «Создать»
Промпт 👇STRICTLY keep original appearance unchanged without beautification.Photorealistic candid portrait of a young woman sitting alone in a cozy cafe during rainy morning. Warm coffee cup in hands, soft natural daylight through large windows, calm thoug…
Осеннее селфи
Как сделать ?👇
➡️ загружаем свое фото в 👉 @neironzabot
➡️ выбираем режим GPT Image 2 или Nano Banana Pro
➡️ вставляем промпт
➡️ нажимаем «Создать»
Промпт 👇Ultra-realistic autumn iPhone selfie photographed from a VERY HIGH overhead angle, recreating the reference composition precisely. The camera is held at full arm’s length far above the woman’s head and pointed steeply downward, creating an exaggera…
❤9🥰3👍2
Showing the 12 most recent of 233 posts we hold for @AIgenschool. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Posts edited after publishing
@AIgenschool edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 August 2026
Most recent edit
15 August 2026
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“NanoBanana GPT промты & ИИ фото” (@AIgenschool), 66,424 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/AIgenschool.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.