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Channel

НЕЙРО-СКЛАД ● Модели и LoRa для FLUX и SD, WAN, Hunyuan

@neurosklad

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,457subscribers

+15 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001710295528
TypeChannel
Username@neurosklad
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/neurosklad

Growth

8,4428,4578,449.57 August 2026 — 8,442 subscribers7 August 2026 — 8,442 subscribers10 August 2026 — 8,444 subscribers14 August 2026 — 8,453 subscribers17 August 2026 — 8,457 subscribers7 August 202617 August 2026
5 measurements spanning 10 days, net +15. 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 8,440–8,459 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 14:258,457+4
14 Aug 2026, 12:568,453+9
10 Aug 2026, 23:088,444+2
7 Aug 2026, 10:308,442no change
7 Aug 2026, 10:208,442first reading

Engagement

6 posts held, back to 14 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.3%
avg views ÷ 8,457 subscribers
Avg views / post
1,630
4 posts measured
Reaction rate
0.89%
reactions ÷ views · ER floor
Posts in window
5
of 6 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 10 August 2026
Posts held6 (14 July 202610 August 2026)
Views total6,516
Reactions total58
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:24 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.

Reaction mix

75 reactions across 5 posts, in 6 distinct kinds. The most used accounts for 38.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2938.7%
🔥2736.0%
1216.0%
🗿45.33%
😁22.67%
🤔11.33%

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 5 of the 6 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 75reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 14 July 2026 to 10 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.

Recent posts

10 Aug 2026, 16:27 UTC656 views11 reactionsread 12 August 2026
Photo

Коллекция персонажей игр и комиксов — 81 LoRA в одной сборке Название: ZyloO's Characters Ссылка: https://civitai.com/models/565034 Тип: #LoRA Скачивания: 63 554 Версия: Valeera K2, 8 августа 2026, 218 МБ Базовая модель: Krea 2 Теги: #персонажи #игры #Krea2 #реализм Описание: Автор держит целую библиотеку героев: 39 отдельных LoRA под Krea 2 и ещё 42 под Pony. Лара Крофт, Цири, Йеннифэр, Трисс, Самус, 2B, Тифа, Шэд

🔥7👍4

3 Aug 2026, 18:19 UTC≈1,680 views16 reactionsread 12 August 2026
Photo

GonzaLomo Krea 2 — фотореализм и живопись за пять шагов Название: GonzaLomo Krea 2 Ссылка: https://civitai.com/models/2761943 Тип: #Checkpoint Скачивания: 8 383 Версия: v2.0 RC1 от 21 июля 2026 — 24.48 ГБ (bf16), также fp8 11.94 ГБ и int8 13.16 ГБ Базовая модель: Krea 2 Теги: #realism #photo #art #basemodel Лицензия: REMIX Описание: Универсальный чекпоинт на свежей базе Krea 2: одинаково уверенно тянет аэросъёмку,

🔥10👍51

29 Jul 2026, 13:40 UTC≈1,960 views14 reactionsread 12 August 2026
Photo

Nova Orange AM — аниме-чекпоинт с детальной кожей и глубиной кадра Название: Nova Orange AM Ссылка: https://civitai.com/models/2606801 Тип: #Checkpoint (merge) Скачиваний: 7 127 Версия: v3.0 A от 23 июля 2026, 3.9 ГБ, BF16 Базовая модель: Anima Теги: #аниме #фэнтези #пейзаж Описание: Аниме-чекпоинт от Crody, оммаж легендарным OrangeMixes и Anima-версия Nova Orange XL. Даёт детальную кожу и ощутимую глубину кадра, р

8👍3🗿3

22 Jul 2026, 08:55 UTC≈2,220 views17 reactionsread 12 August 2026
Photo

Art Universe — универсальный фотореалистичный чекпоинт Один из старейших чекпоинтов Civitai (в топе с 2023 года): портреты, жанровые сцены, пейзажи, фэнтези и сюр — всё в одной модели. Свежая версия переехала на Krea 2 и держит фотокачество даже на 8 шагах. Модель: civitai.com/models/123313 Тип: #Checkpoint Скачиваний: 49 310 Обновление: 19.07.2026 Базовая модель: SDXL 1.0 / Krea 2 Теги: #фотореализм #портрет #пейз

👍13😁21🤔1

14 Jul 2026, 12:52 UTC≈2,370 views17 reactionsread 10 August 2026
Photo

🌸 One obsession v23 — аниме-чекпоинт №1 недели на Civitai Название: One obsession Ссылка: civitai.com/models/1318945 Тип: Checkpoint (#чекпоинт) Скачиваний: 209 851 Версия v23: 11 июля 2026 Базовая модель: Illustrious Теги: #аниме #Illustrious #SDXL #нейроарт Триггер: не требуется — обычные теги-промпты Параметры: Steps 20–30 · CFG 4–5 · Sampler Euler / Euler a Совет: добавляй качество-теги (masterpiece, best qualit

🔥10👍42🗿1

Showing the 6 most recent of 6 posts we hold for @neurosklad. 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 — 1,106,803 of 1,480,975entries 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 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.

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.

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.

Neural Pony
@neuralpony · 200,019
Telegram ranks this channel #24 of 61 here — alongside 60 others — read 13 August 2026
Технологии | Нейросети | Боты
@aiaiai · 177,548
Telegram ranks this channel #57 of 93 here — alongside 92 others — read 12 August 2026
Midjourney Креативы
@midjourney_home · 155,070
Telegram ranks this channel #76 of 94 here — alongside 93 others — read 12 August 2026
PROAI
@pro_ai_news · 93,102
Telegram ranks this channel #90 of 92 here — alongside 91 others — read 16 August 2026

This channel appears in 4 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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“НЕЙРО-СКЛАД ● Модели и LoRa для FLUX и SD, WAN, Hunyuan” (@neurosklad), 8,457 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/neurosklad.

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.