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Channel
🎬 AI+ |AI视频制作工具|流程|视频分享 shipin
@longxiasq
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
224subscribers
+12 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003505473794 |
|---|---|
| Type | Channel |
| Username | @longxiasq |
| Created | Between 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/longxiasq |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 17:42 | 224 | +11 |
| 8 Aug 2026, 14:01 | 213 | +1 |
| 8 Aug 2026, 11:01 | 212 | no change |
| 8 Aug 2026, 03:18 | 212 | first reading |
Engagement
18 posts held, back to 19 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 · 30 days
- 59.5%
- avg views ÷ 224 subscribers
- Avg views / post
- 133
- 17 posts measured
- Reaction rate
- 0.833%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 18 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. It is computed over the 2 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 18 (19 July 2026 – 8 August 2026) |
| Views total | 2,267 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 11:01 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
- 7m 50s
- Average length
- 52s
Measured directly from 9 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
3 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2 | 66.7% | |
| ❤ | 1 | 33.3% |
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 2 of the 18 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 19 July 2026 to 8 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
《战马》动画DJ版创造过程分享 1️⃣ 生成动画人物(静态) 推荐工具: • Midjourney • SDXL • Leonardo • 或你熟悉的工具 🔥 角色提示词(可直接用) full body anime girl, long black hair,slightly emotional expression,modern street style outfit,short jacket, pleated skirt,dynamic pose,studio lighting,clean background,high detail,3D render,sharp focus 🏷️ Tips:选用固定形象或系列形象有利于打造IP 2️⃣ 生成舞蹈视频 工具推荐: 🥇 Seedance 🎵 舞蹈提示词 • 分镜1: 5-second TikTok style anime dance video, ver…
最近中国风AI视频很火,做的确实不错! 👍
不說話 跳西域的胡旋舞跟音樂 •極致細膩電影級光影(cinematic lighting) •夢幻飄逸氛圍、光粒子、星塵、薄霧(ethereal / luminous) •低飽和度高級電影色調 •真人寫實版電影質感特效 •8K 超高解析度 #Grok 视频模型 Imagine Video 1.5
❤1
数字人高效口播工作流:MiniMax + HeyGen + Codex & 项目推荐 工作流: 素材检查 → MiniMax 生成配音 → HeyGen 15秒样片 → 人工确认 → HeyGen 完整版 → 下载验片 → 状态归档 适合场景: 知识口播、短视频批量生产、课程讲解、产品介绍、多语言内容、固定IP数字人账号。 核心技术&分工 MiniMax:声音克隆 + TTS(保留真实音色) HeyGen:人像驱动、口型、表情、动作 Codex:检查素材、调用流程、记录状态、控制风险 🔗 项目地址 https://github.com/Jingyi-Wu-Richael/rachel-digital-human-production
#Grok 视频模型 Imagine Video 1.5,画面动态和声音都做得很逼真了。 https://grok.com/imagine
风从藏书阁深处翻起未写完的纸页,也吹动云外垂落的长帘。她们沿紫藤覆满的水巷缓缓走过,灯影在衣襟间流转;待行至雪后的高台,月亮已大得遮住半边天。有人倚栏读信,有人替她拢起长发,有人将酒杯递到唇边,却迟迟不肯松手。瀑布在殿外奔流,星河自穹顶倾下,世间的昼夜仿佛都在此处放慢。纵使明日仍有万里云山,她们也不急着赶路,只愿把这一刻留在彼此指间,任花香与月色,将未曾说出口的话,慢慢写满长夜。 #AI视频
视频是使用 #Grok imagine 完成的! 「云上有阙、天地秩序」 「CELESTIAL ORDER」 #AI视频
字节跳动发布视频生成模型 Seedance 2.5,单次可生成 30 秒 字节跳动 7 月 31 日正式发布新一代视频创作模型 Seedance 2.5。模型单次生成时长从 15 秒提升至 30 秒,支持多轮延长,可产出数分钟的高质量连贯视频。新版本重点突破长叙事、多模态参考与编辑能力,支持单次输入最多 30 张图片、10 段视频及 10 段音频作为参考素材,并能通过时间戳精准控制画面与节奏。 Seedance 2.5 已陆续上线即梦 AI 与豆包专业版,API 服务也将于近期接入火山方舟。此外,模型已开始应用于教育、工业仿真、具身智能及自动驾驶等场景,帮助生成教学视频与合成训练数据。
这不知道是哪家大模型的作品! 某国颜色视频产业 & XXFans 博主不是都要失业了! ☺️
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Posted without readable text
Showing the 12 most recent of 18 posts we hold for @longxiasq. 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 — 121,358 of 1,481,217entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Mentions
Named by 3 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“🎬 AI+ |AI视频制作工具|流程|视频分享 shipin” (@longxiasq), 224 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/longxiasq.
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.