Раскадровка фото с шампунем. ЗАБИРАЙ ПРОМПТ ДЛЯ РАСКАДРОВКИ ТОВАРА, в КОММЕНТАРИЯХ⬇️⬇️⬇️
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Channel
@AIPROMPT_ROMANOV
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
481subscribers
+6 since we began measuring on 30 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003782104789 |
|---|---|
| Type | Channel |
| Username | @AIPROMPT_ROMANOV |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 30 August 2026 |
| Last confirmed live | 31 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 31 August 2026 |
| On Telegram | t.me/AIPROMPT_ROMANOV |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 31 Aug 2026, 19:08 | 481 | +6 |
| 30 Aug 2026, 20:15 | 475 | no change |
| 30 Aug 2026, 20:00 | 475 | first reading |
8 posts held, back to 22 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 1 page of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 30 August 2026 |
|---|---|
| Posts held | 8 (22 August 2026 – 30 August 2026) |
| Views total | 1,466 |
| Reactions total | 90 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Aug 2026, 20:15 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.
90 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 43.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 39 | 43.3% | |
| 👍 | 29 | 32.2% | |
| ❤ | 22 | 24.4% |
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 8 of the 8 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 90 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 22 August 2026 to 30 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.
Раскадровка фото с шампунем. ЗАБИРАЙ ПРОМПТ ДЛЯ РАСКАДРОВКИ ТОВАРА, в КОММЕНТАРИЯХ⬇️⬇️⬇️
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Собрал промпт для генерации вот таких рекламных фото продукта - на примере шампуня 👆 Задача была сделать не просто красивую картинку, а кадр, который выглядит как полноценная коммерческая съёмка: естественный свет, аккуратная композиция, реалистичные руки, фактура кожи и продукта, премиальная подача. И всё это - через один грамотно собранный промпт. Если тоже генерируете контент для товаров, брендов или маркетплейс…
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Я разработал готовый набор из 20 промптов для продуктовой фотосессии в едином стиле — чтобы можно было собрать не одну красивую картинку, а целую визуальную серию для бренда. Внутри — разные сценарии: предметные кадры, продукт в руках, лайфстайл, бьюти-съёмка, крупные планы и рекламные композиции. При этом все изображения сохраняют единый свет, цветовую палитру и визуальный язык, как на примере выше. Все 20 промпто…
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Раскадровка фото с очками. ЗАБИРАЙ ПРОМПТ ДЛЯ РАСКАДРОВКИ ТОВАРА, в КОММЕНТАРИЯХ⬇️⬇️⬇️
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Собрали промпт, который превращает обычное фото товара в такой визуал 👆 Подходит для карточек на Ozon и Wildberries: акцент на продукте, чистая композиция, яркий фон и ощущение дорогой предметной съёмки. Можно использовать как основу практически для любого товара — меняете продукт, цвета и детали сцены под свою нишу. Хотите попробовать на своих карточках? Промпт забирайте в комментариях 👇
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Я разработал 9 промптов для 9 разных световых схем — специально для ваших товарных фото. Если вы делаете контент для маркетплейсов, интернет-магазинов или рекламы, они помогут получать более профессиональные и разнообразные кадры без бесконечных экспериментов со светом. В каждом промпте я подробно прописал: — направление и характер света — расположение источников — интенсивность освещения — мягкость и глубину теней…
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Подготовил для вас 15 готовых промптов для единой фотосессии товара — мясорубки 🔥 С их помощью можно создать серию изображений в одном стиле, чтобы карточка товара выглядела цельно, профессионально и привлекала внимание покупателей. Подойдёт для оформления карточек на Ozon и Wildberries: — главное фото — интерьерные кадры — мясорубка в работе — крупные планы и детали — кадры с продуктами — рекламные изображения в ед…
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Разработал для вас промпт, который превращает обычную мясорубку в настоящую звезду маркетплейса 🤩🥩✨ С его помощью можно сгенерировать стильное, сочное и «дорогое» фото товара — идеально для обложек на Ozon и Wildberries 🛒🔥 Минимум возни с фотосессией — максимум эффекта в карточке товара 😎📸 Текст промпта прикрепил в комментариях 👇 Забирайте, тестируйте и делитесь результатами 🔥
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Showing the 8 most recent of 8 posts we hold for @AIPROMPT_ROMANOV. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
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 31 August 2026 — this entry's latest reading, not the date you are reading this.
“Нейрофотосессия товара для маркетплесов | AI Product Photo” (@AIPROMPT_ROMANOV), 481 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/AIPROMPT_ROMANOV.
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.