Telegram RegisterThe public register of Telegram
Telegram profile photo for Tensor Banana

Channel

Tensor Banana

@tensorbanana

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Telegram's recommendations · Cite this entry

2,956subscribers

+2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001525842886
TypeChannel
Username@tensorbanana
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/tensorbanana

Growth

2,9502,9612,955.57 August 2026 — 2,954 subscribers7 August 2026 — 2,954 subscribers7 August 2026 — 2,950 subscribers10 August 2026 — 2,953 subscribers14 August 2026 — 2,956 subscribers17 August 2026 — 2,959 subscribers21 August 2026 — 2,961 subscribers24 August 2026 — 2,960 subscribers27 August 2026 — 2,956 subscribers2,9567 August 202627 August 2026
9 measurements spanning 20 days, net +2. 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 2,948–2,963 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 22:032,956-4
24 Aug 2026, 14:242,960-1
21 Aug 2026, 05:342,961+2
17 Aug 2026, 19:552,959+3
14 Aug 2026, 08:072,956+3
10 Aug 2026, 23:252,953+3
7 Aug 2026, 22:272,950-4
7 Aug 2026, 13:312,954no change
7 Aug 2026, 12:202,954first reading

Engagement

7 posts held, back to 29 January 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.0%
avg views ÷ 2,956 subscribers
Avg views / post
474
1 post measured
Reaction rate
7.38%
reactions ÷ views · ER floor
Posts in window
1
of 7 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 7 August 2026
Posts held7 (29 January 20267 August 2026)
Views total474
Reactions total35
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:16 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

Video runtime
15m 09s
Average length
3m 47s

Measured directly from 4 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

299 reactions across 7 posts, in 10 distinct kinds. The most used accounts for 47.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍14247.5%
🔥7224.1%
6722.4%
😁62.01%
👏41.34%
🐳31.00%
🤝20.669%
10.334%
❤‍🔥10.334%
😱10.334%

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 7 of the 7 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 299reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 29 January 2026 to 7 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
60
across the posts below
Posts paid on
3
of 7 we hold a reading for · 43%
Most on one post
58
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tensorbanana. 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 7 most recent posts we hold for this entry, published 29 January 2026 to 7 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.

Recent posts

7 Aug 2026, 16:25 UTC474 views35 reactionsread 8 August 2026
Video

Minimax H3 - ускоряем генерацию Кратко: int8 + lightx2v лора + Spectrum + sage-attention + Sol-Attn + EasyCache Железо: - 3090-24GB - 64 GB DDR4 - Потребление vram около 40 гигов, ram около 50 гигов. Пишут, что Minimax можно юзать и на 3060-12GB + 32 RAM. Это так, но разрешение будет низким (480p), максимальная длина короткая (5s) и генерация уйдет в в файл подкачки. И я не уверен, что у вас режим редактирования в

17🔥11👍7

20 Jun 2026, 15:15 UTC≈2,550 views51 reactions58 Starsread 8 August 2026
Photo

Ideogram 4 img2img редактирование через inpaint по SAM2 маске и частичным denoise - можно точно сохранить лицо при редактировании - изменить только указанный объект, например лицо, фон или текст на бумажке благодаря маскам - не надо самому выделять маски, маска задается через простой промпт типа "face,hair" или "background" - запрос на описание картинки и составление json промпта уходит через любой API, например lla

👍29🔥1451👏1😱1

5 Jun 2026, 15:07 UTC≈2,390 views42 reactionsread 8 August 2026
Video

ComfyUI-PixelDriftFix Написал комфи ноду для устранения pixel drift (смещения и небольшого кропа отредактированной после img2img картинки) Работает для любых AI моделей редактирования (klein, qwen-edit, flux2-dev, ...) Решает проблему сдвига, растягивания и обрезки пикселей после редактирования относительно оригинальной картинки. Нода автоматически выравнивает финальное изображение по исходнику, возвращая ему идеа

🔥26👍11😁3👏2

7 May 2026, 18:55 UTC≈3,110 views61 reactions1 Starread 8 August 2026
Video

Talk-llama-fast 2 - перезапуск на питоне Я начал переносить свой проект говорящего аватара с C++ на питон. Сборка на видео: - Whisper.cpp streaming, large-q4 - llama.cpp server - gemma4-31b-q4 - omnivoice TTS + omnivoice-server - основное приложение на питоне. - wav2lip липсинк (пока нету). - Всё это влазит на одну 3090. - Текущая задержка от голоса до голоса - 4 секунды, возможно, удастся сократить до 3-х. На 500

👍39🔥125😁3❤‍🔥1🤝1

17 Mar 2026, 19:56 UTC≈3,600 views40 reactionsread 8 August 2026
Video

Создаем персонализированный контент: фанфики, аудиокниги, визуальные новеллы Это же видео на яндекс диске: https://disk.yandex.ru/i/BKndy2R19qDEMw Пример на видео - не готовый результат, готовым его сделает нужная вам персонализация (замена персонажей, локаций, привычек, фетишей, голосов и изображений). Читать/смотреть чужие фанфики обычно неинтересно, они слишком плоские и неинтересные. А вот персональный контент

👍298🔥3

7 Feb 2026, 19:26 UTC≈3,570 views37 reactions1 Starread 8 August 2026
Photo

# screen2edit Навайбкодил скрипт, который по горячей клавише делает скриншот любого активного окна и отправляет в comfy+klein-9b API. Отображает картинку в соседнем окне. Работает очень быстро - за 7 секунд (чекпоинт klein-9b-int8) на 3090 ## Примеры промптов: 1. Улучшение графики в визуальных новеллах или других пошаговых играх: Turn this into a photo, soft dim lighting. Add film grain, bokeh, shallow depth of fi

22👍9🐳3🔥2👏1

29 Jan 2026, 18:01 UTC≈5,530 views33 reactionsread 8 August 2026
Photo

Треним лоры для Klein-9b в режиме редактирования Klein-9b в режиме редактирования мне нравится больше, чем qwen-edit за счет большего реализма и меньшей деградации картинки после каждой генерации. Тренить будем в OneTrainer. В другом софте тоже можно, но полноценную поддержку в некоторые трейнеры еще не везде завезли. Установка OneTrainer поддержки klein еще нет в master ветке, поэтому так: git clone https://githu

👍1810🔥4🤝1

Showing the 7 most recent of 7 posts we hold for @tensorbanana. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Ai molodca
@strangedalle · 46,718
Telegram ranks this channel #31 of 94 here — alongside 93 others — read 27 August 2026
Силиконовый Мешок
@prompt_design · 84,266
Telegram ranks this channel #31 of 96 here — alongside 95 others — read 18 August 2026
Метаверсище и ИИще
@cgevent · 51,479
Telegram ranks this channel #71 of 92 here — alongside 91 others — read 25 August 2026

This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Tensor Banana” (@tensorbanana), 2,956 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/tensorbanana.

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.