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Channel

UNISET AI: промпты, новости

@unisetai

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

110,297subscribers

+8,650 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1003089961783
TypeChannel
Username@unisetai
DescriptionПромпты, шаблоны для генераций, сравнение нейросетей и обновления сервиса Uniset AI. Бот → @uniset Cайт → uniset.ai
CreatedBetween 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/unisetai

Topic

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 90% 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

101,647110,297105,9727 August 2026 — 101,647 subscribers8 August 2026 — 101,796 subscribers9 August 2026 — 101,931 subscribers10 August 2026 — 101,982 subscribers11 August 2026 — 102,148 subscribers12 August 2026 — 102,208 subscribers12 August 2026 — 102,317 subscribers14 August 2026 — 102,606 subscribers15 August 2026 — 102,847 subscribers16 August 2026 — 102,925 subscribers17 August 2026 — 103,061 subscribers18 August 2026 — 103,157 subscribers19 August 2026 — 103,162 subscribers20 August 2026 — 103,264 subscribers22 August 2026 — 103,396 subscribers23 August 2026 — 103,475 subscribers25 August 2026 — 103,627 subscribers26 August 2026 — 103,480 subscribers26 August 2026 — 103,463 subscribers27 August 2026 — 103,528 subscribers29 August 2026 — 103,759 subscribers29 August 2026 — 103,740 subscribers30 August 2026 — 103,822 subscribers31 August 2026 — 103,861 subscribers1 September 2026 — 103,829 subscribers2 September 2026 — 103,888 subscribers4 September 2026 — 103,969 subscribers6 September 2026 — 104,366 subscribers10 September 2026 — 105,832 subscribers12 September 2026 — 106,553 subscribers14 September 2026 — 107,401 subscribers15 September 2026 — 108,018 subscribers17 September 2026 — 108,443 subscribers27 September 2026 — 110,297 subscribers7 August 202627 September 2026
34 measurements spanning 51 days, net +8,650. 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 100,350–111,595 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
27 Sept 2026, 12:56110,297+1,854
17 Sept 2026, 13:21108,443+425
15 Sept 2026, 14:41108,018+617
14 Sept 2026, 02:17107,401+848
12 Sept 2026, 09:18106,553+721
10 Sept 2026, 04:58105,832+1,466
6 Sept 2026, 18:59104,366+397
4 Sept 2026, 06:41103,969+81
2 Sept 2026, 21:05103,888+59
1 Sept 2026, 21:25103,829-32
31 Aug 2026, 19:58103,861+39
30 Aug 2026, 19:54103,822+82
29 Aug 2026, 22:58103,740-19
29 Aug 2026, 00:06103,759+231
27 Aug 2026, 22:13103,528+65
26 Aug 2026, 21:07103,463-17
26 Aug 2026, 00:33103,480-147
25 Aug 2026, 03:33103,627+152
23 Aug 2026, 17:08103,475+79
22 Aug 2026, 01:59103,396first reading

Engagement

54 posts held, back to 1 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 120 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.60%
avg views ÷ 110,297 subscribers
Avg views / post
8,390
19 posts measured
Reaction rate
0.213%
reactions ÷ views · ER floor
Posts in window
20
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
WindowRolling 30 days · latest post in window 3 October 2026
Posts held54 (1 August 2026 – 3 October 2026)
Views total159,360
Reactions total340
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Oct 2026, 11:29 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
≈1,630
Videos
≈127
Links
≈523

Lifetime counters from Telegram’s own channel header, read 4 October 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
9m 15s
Average length
16s

Measured directly from 35 videos 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

885 reactions across 52 posts, in 4 distinct kinds. The most used accounts for 54.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤48254.5%
🔥20222.8%
👍17720.0%
🤷‍♂242.71%

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 52 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 885 reactions 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 1 August 2026 to 3 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.

Recent posts

3 Oct 2026, 16:38 UTC≈2,540 views4 reactionsread 4 October 2026
Photo

🔥 Сразу три новинки в UNISET! Следим за свежими релизами и продолжаем пополнять UNISET новыми моделями. ⬇️Новые модели: 🔴ElevenLabs v4 - озвучивает диалоги несколькими голосами и понимает ремарки в тексте: меняет эмоцию, шепчет, смеётся, делает паузы и добавляет звуки. 🔴Seedream 5 Flash - ускоренная версия Seedream 5.0. 🔴Qwen Image - создаёт изображения с прозрачным фоном, извлекает объекты из фотографий и редакт…

❤2👍1🔥1

3 Oct 2026, 10:34 UTC≈3,170 views7 reactionsread 4 October 2026
Photo

💌 Подборка парных и семейных фото для вдохновения! Собрали атмосферные кадры, которые точно захочется повторить со своей второй половинкой или семьёй! Нажмите на ссылку и повторите: 🔴Стильное селфи 🔴Семейный вайб 🔴Домашняя романтика 🔴Поцелуй у моря 🔴Загородная эстетика 🔴Семейный портрет ❤️ если понравилась идея. Делитесь результатами в нашем чате @unisetcom #семейные@unisetai

❤4👍2🔥1

2 Oct 2026, 18:08 UTC≈3,770 views15 reactionsread 4 October 2026
Video

🎬 Workflow для создания ИИ-сериала Шаблон демонстрирует процесс создания собственного ИИ-сериала: от идеи и создания персонажей до генерации сцен и готового видео. Скопируйте доску и создайте свою историю на основе готового примера. Доступно только в desktop-версии: 🔴Создание сериала Готовые шаблоны workflow → https://uniset.ai/workflow ❤️если понравилась идея. Делитесь результатами в нашем чате → @unisetcom #w…

❤7👍4🔥4

1 Oct 2026, 15:05 UTC≈4,800 views17 reactionsread 4 October 2026
Video

🎬 Как сделать пластилиновый AI-мультик и не сломать русскую озвучку Главный момент в таких роликах - русская озвучка. Чтобы персонажи не путали голоса, а реплики не превращались в набор странных слов, речь лучше подготовить заранее. Как повторить: 🔴 Придумайте короткую жизненную сцену и 2–4 реплики. 🔴 Создайте референс персонажей в пластилиновом стиле. 🔴 Подготовьте для каждого героя озвучку в ElevenLabs. 🔴 Загрузи…

❤9👍4🔥4

30 Sept 2026, 16:38 UTC≈5,270 views17 reactionsread 4 October 2026
Video

🔥Genjutsu уже в UNISET! Новая модель редактирует готовые видео по референсам и позволяет изменить сцену без повторной съёмки. ⬇️Что умеет Genjutsu: 🔴Motion Transfer - сохраняет движения из исходного ролика, а персонажа и фон меняет по вашим референсам 🔴Object Swap - заменяет выбранные элементы в кадре: человека, товар, одежду, предмет или локацию. Остальная сцена остаётся без изменений. ✅ Пробуйте Genjutsu https:/…

❤12🔥3👍2

29 Sept 2026, 10:12 UTC≈7,060 views13 reactionsread 4 October 2026
Photo

✨ Необычные идеи для фото! Если хочется выйти за рамки обычных кадров, необычная обработка - лучший способ добавить снимкам характер, стиль и настроение. Такие снимки цепляют взгляд и делают ленту по-настоящему запоминающейся. Нажмите на ссылку и повторите: 🔴Стильный sketch 🔴В стиле Тима Бертона 🔴Бумажный вайб 🔴Art horse 🔴В стиле 90х 🔴Dark Fantasy ❤️ если понравилась идея. Делитесь результатами в нашем чате …

❤10🔥2👍1

26 Sept 2026, 13:32 UTC≈9,620 views20 reactionsread 4 October 2026
Video

⛽️ Танцы на заправке! Кажется, мы нашли главный танцпол этой осени. И это заправка в 4 утра. Теперь благодаря нейросетям в этом ролике могут оказаться буквально КТО УГОДНО. Нажмите на ссылку и повторите: 🔴Танцы на заправке ❤️ если понравилась идея. Делитесь результатами в нашем чате @unisetcom #тренды@unisetai

❤10🤷‍♂5🔥3👍2

24 Sept 2026, 14:43 UTC≈9,470 views19 reactionsread 4 October 2026
Video

🕺6 стилей мультфильмов для AI-видео! Стили мультфильмов в AI-видео сейчас набирают всё больше популярности. 3D-анимация, ретро, сказочная стилистика, аниме – каждый вариант создаёт своё настроение и визуальный характер. 🔴Pixar-style 3D cartoon 🔴Retro 90s Cartoon Style 🔴Disney-style Magical Cartoon 🔴DreamWorks-style 🔴Cinematic Anime Style 🔴Stylized Editorial 3D Fashion-Doll Один и тот же сюжет в этих стилях мо…

❤16👍2🔥1

23 Sept 2026, 12:21 UTC≈9,100 views25 reactionsread 2 October 2026
Video

🎬 Workflow для создания AI-мультфильма Шаблон демонстрирует логику генерации собственного мульта: создание героев, локаций и визуального стиля. Скопируйте доску и создайте собственную историю на основе готового примера. Доступно только в desktop-версии: 🔴Создание мультика Готовые шаблоны workflow → https://uniset.ai/workflow ❤️если понравилась идея. Делитесь результатами в нашем чате → @unisetcom #workflow@unis…

❤14👍6🔥5

20 Sept 2026, 13:27 UTC≈11,500 views22 reactionsread 2 October 2026
Video

⚡ Workflow-доски в UNISET Теперь весь процесс генерации на одном экране. Каждая модель на доске становится отдельным блоком. Соединяйте блоки линиями, и результат одного сразу попадёт в следующий. ⬇ Что это даёт: 🔴Все генерации перед глазами: фото, видео и промежуточные версии лежат на одной доске, искать в истории ничего не нужно 🔴Линии вместо скачиваний: готовые фото одним движением уходят в генерацию видео как …

❤9👍9🔥4

18 Sept 2026, 10:34 UTC≈11,300 views24 reactionsread 2 October 2026
Photo

🎭 Пранки вышли на новый уровень! Собрали для вас идей реалистичных AI-пранков, в которых до последнего непонятно – это правда или постановка 👀 Нажмите на ссылку и повторите: 🌟Остановка на дороге 🌟Малыш в зале 🌟Малахов у тебя дома 🌟Ситуация в спортзале 🌟Похититель колбасы Еще больше идей в нашем приложении: https://t.me/uniset?startapp=c_pranks ❤️ если понравилась идея. Делитесь результатами в нашем чате → @u…

❤13🔥6👍5

Showing the 12 most recent of 54 posts we hold for @unisetai. 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.

Mentions

Named by 1 registered channel — 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.

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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“UNISET AI: промпты, новости” (@unisetai), 110,297 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/unisetai.

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.