Создаю премиум-портреты из ваших фото. Как после съемки у топ-фотографа ✨
Попробуй: https://t.me/lexygpt_bot?start=NEWS_ref0
Поддержка: @lexygpt_support
Created
Between 1 September 2024 and 31 March 2025— 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-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 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
8 measurements spanning 7 days, net -466. 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 200,667–201,273 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 17:17
200,737
-83
13 Aug 2026, 05:08
200,820
-72
12 Aug 2026, 05:46
200,892
-83
11 Aug 2026, 03:01
200,975
-69
10 Aug 2026, 03:31
201,044
-60
9 Aug 2026, 05:54
201,104
-71
8 Aug 2026, 09:05
201,175
-28
7 Aug 2026, 16:33
201,203
first reading
Engagement
54 posts held, back to 6 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 20 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
4.58%
avg views ÷ 200,737 subscribers
Avg views / post
9,190
54 posts measured
Reaction rate
0.205%
reactions ÷ views · ER floor
Posts in window
54
of 54 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 14 August 2026
Posts held
54 (6 August 2026 – 14 August 2026)
Views total
495,990
Reactions total
1,015
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 06:50 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
≈2,760
Videos
≈157
Links
≈1,030
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
7s
Average length
7s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
1,015 reactions across 54 posts, in 13 distinct kinds. The most used accounts for 60.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
610
60.1%
❤🔥
125
12.3%
🔥
104
10.2%
😍
83
8.18%
🥰
47
4.63%
👍
33
3.25%
🎉
3
0.296%
💔
2
0.197%
😇
2
0.197%
🙏
2
0.197%
🤩
2
0.197%
😱
1
0.099%
🤪
1
0.099%
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 54 of the 54 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 1,015reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 6 August 2026 to 14 August 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
4
of 54 we hold a reading for · 7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lexygpt. 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 54 most recent posts we hold for this entry, published 6 August 2026 to 14 August 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.
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✨ Посмотреть остальные фотосеты
Вечерние кадры с букетом 💐
1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot
2️⃣Отправляй качественное фото, где чётко видны пропорции лица
3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇):
Кадр 1:
СТРОГО сохранить внешность 1:1 по референсу — лицо, черты, пропорции, тон кожи, цвет глаз, цвет и длину волос как на референсе. Формат 3:4. Лицо скрыто за айфоном, естественно…
Серия кадров в воде озера 🖤
1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot
2️⃣Отправляй качественное фото, где чётко видны пропорции лица
3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇):
Кадр 1:
СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат 9:16. Художественный фэшн-снимок. Девушка по пояс погру…
Серия летних кадров на пикнике 🧺
1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot
2️⃣Отправляй качественное фото, где чётко видны пропорции лица
3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇):
Кадр 1:
СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат: 9:16. Реалистичное фото, средний крупный план. Дев…
Серия утонченных кадров в ресторане с видом на Питер 🌟
1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot
2️⃣Отправляй качественное фото, где чётко видны пропорции лица
3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇):
Кадр 1:
СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат: 9:16. Реалистичное фото. Жен…
Серия селфи на курорте 😎
1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot
2️⃣Отправляй качественное фото, где чётко видны пропорции лица
3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇):
Кадр 1:
СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат 9:16. Пляжный бьюти-портрет в формате селфи. Девушка в черн…
Фотосессия для мальчика в стиле Человека-паука 🕷
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Серия кадров в кинотеатре 🕷️
1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot
2️⃣Отправляй качественное фото, где чётко видны пропорции лица
3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇):
Кадр 1:
СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат 9:16. Портрет женщины с уложенными объемными волнами во…
Серия кадров с подругой на летней веранде 🍸
1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot
2️⃣Отправляй качественное фото, где чётко видны пропорции лица
3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇):
Кадр 1:
СТРОГО сохранить внешность 1:1 по референсу для обеих девушек — лица, черты, пропорции. Формат 9:16. Средний план, камера на уровне глаз, взгляд в объектив. S…
Серия элегантных кадров в тропиках 🩵
1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot
2️⃣Отправляй качественное фото, где чётко видны пропорции лица
3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇):
Кадр 1:
СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, тон кожи, цвет глаз, оттенок и длину волос как на референсе. Формат 9:16. Взгляд в сторону, чуть вдаль. Сред…
Серия забавных кадров с обезьянкой 🐒
1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot
2️⃣Отправляй качественное фото, где чётко видны пропорции лица
3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇):
Кадр 1:
СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат 9:16. Фотография в стиле селфи, на фронтальную…
Романтичные черно-белые кадры в городе 🤍
1️⃣Переходи в бот и включай модель Nano Banana 2.0 — @lexygpt_bot
2️⃣Отправляй качественное фото, где чётко видны пропорции лица
3️⃣Перед отправкой добавляй промт в описание (копируй текст одним касанием 👇):
Кадр 1:
СТРОГО сохранить внешность 1:1 — лицо, черты, пропорции, текстура кожи, тон кожи, возраст, цвет и длину волос. Формат 9:16. Стильная парная ч/б фотография в горо…
❤13👍3
Showing the 12 most recent of 54 posts we hold for @lexygpt. 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.
Citation-graph rank
Citation-graph rank — 326,369 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Lexy | Промты • ИИ • Новости” (@lexygpt), 200,737 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/lexygpt.
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.