萌宠系列-梦境守护者 分类:插画 这是整个系列中情感最强的一张。画面表达的是:孩子睡着了,而真正守护他的,是身边那只不会说话的伙伴。 梦境与现实交织,营造童话般的电影感。
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Channel
@ailibrarya
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
590subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002637472742 |
|---|---|
| Type | Channel |
| Username | @ailibrarya |
| Description | 分享 GPT Image、Midjourney、FLUX、Nano Banana、Grok提示词/Prompt与做图技巧,每周更新! #人像 #广告 #插画 #二次元 #动漫 #COS 🪧 AI趋势与工具情报站:@aipluscn 🎬 AI+ |视频制作社区: @longxiasq 🤖 AI+|机器人开发: @clawstaffs 💬 AI+ 交流群:@NewAICommunity |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/ailibrarya |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 03:18 | 590 | no change |
| 7 Aug 2026, 17:57 | 590 | first reading |
20 posts held, back to 29 July 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 pageof 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. It is computed over the 4 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (29 July 2026 – 6 August 2026) |
| Views total | 1,364 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 03:18 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.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
7 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 57.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 4 | 57.1% | |
| ❤ | 3 | 42.9% |
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 4 of the 20 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 29 July 2026 to 6 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.
萌宠系列-梦境守护者 分类:插画 这是整个系列中情感最强的一张。画面表达的是:孩子睡着了,而真正守护他的,是身边那只不会说话的伙伴。 梦境与现实交织,营造童话般的电影感。
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萌宠系列-银河守望者 分类:插画 整张作品几乎没有动作,用背影讲故事。狗狗独自坐在城市屋顶,静静望向银河,让观众自己去想它在等待谁、思念谁。
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萌宠系列-月亮搬运工 分类:插画 这是一张超写实电影感宠物摄影作品,不只是宠物肖像,而是一段童话故事。画面通过一只金毛幼犬叼着发光月亮回家的场景,表达希望、温暖与陪伴,让观众第一眼就能理解故事。
宠物的故事 每一张作品都围绕一只宠物展开,通过一个奇幻元素、一种情绪和一个电影化瞬间,讲述关于陪伴、守护、希望与成长的温暖故事。整体采用统一的电影摄影语言、蓝金色调和超写实风格,让每张图片既能独立成篇,又共同构建一个充满治愈感的宠物童话世界。
有这样的老师,我一定能考上清华! 😍
从营造雨夜氛围,进一步优化到雨水状态、人物行为逻辑与环境真实性三者之间的协调关系,使画面更符合真实生活中的拍摄体验。 改进版提示词见评论区👇
雨停之前 分类:人像 《雨停之前》并不是在展示一位女孩,而是在探索 AI 是否能够生成具有真实生活气息的手机摄影作品。它通过普通社区便利店、雨夜环境、自然回头的动作和保留手机拍摄瑕疵,弱化商业摄影的精致感,强调偶然、真实与日常,让 AI 图像更接近人们记忆中的生活瞬间,而不是一张“完美”的图片。
私人俱乐部奢华 × 东方名媛 分类:Cinematic Animation 本作以 Bentley Continental GT 所代表的豪华旅行生活方式为灵感,将凝光塑造成现代东方名媛形象。通过私人俱乐部氛围、温暖高级内饰、旅行风格高定礼服与优雅坐姿,营造舒适、精致且充满品位的商业摄影质感,展现低调而克制的奢华生活方式。
现代东方高定 × 运动奢华 分类:Cinematic Animation 本作延续凝光高贵典雅的角色气质,并结合 Porsche 911 Turbo S 的现代运动基因,打造更年轻、更轻盈、更具速度感的商业大片。整体服装设计采用流线型高定结构,配合跑车车身曲线和动态人物姿态,使东方高级定制与现代性能跑车形成统一的豪华视觉语言。
评论区查看这个图片的提示词👇
东方女王 × 英伦皇家奢华 分类:Cinematic Animation 本作将凝光演绎为兼具东方王者气质与英伦贵族格调的现代女性形象。以 Rolls-Royce Phantom 为核心,通过宫廷感高级定制服装、珠宝化角色元素与庄重的商业摄影构图,塑造如皇家礼仪般沉稳优雅的视觉体验,呈现顶级豪华轿车与东方奢华美学的融合。
现代东方行政奢华 分类:Fashion Editorial 本作以梅赛德斯-奔驰 S-Class 为视觉核心,将凝光塑造成兼具现代东方美学与国际高级时装气质的品牌代言人。整体采用国际豪华汽车广告摄影语言,以象牙白与香槟金为主色,通过高定礼服、柔和商业布光和真实车展环境,营造行政旗舰轿车沉稳、优雅与尊贵的品牌形象。
Showing the 12 most recent of 20 posts we hold for @ailibrarya. 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 — 71,342 of 1,160,990entries 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.
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.
Named by 2 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“🎨 AI+|AI做图 & 提示词分享” (@ailibrarya), 590 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/ailibrarya.
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.