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Channel
AI视频生成优秀案例分享
@aibox_aivideo
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13,161subscribers
+684 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001338328139 |
|---|---|
| Type | Channel |
| Username | @aibox_aivideo |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/aibox_aivideo |
Topic
Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 17:55 | 13,161 | +123 |
| 17 Sept 2026, 07:37 | 13,038 | +121 |
| 15 Sept 2026, 08:19 | 12,917 | +64 |
| 13 Sept 2026, 16:18 | 12,853 | +66 |
| 11 Sept 2026, 18:19 | 12,787 | +137 |
| 9 Sept 2026, 05:16 | 12,650 | +86 |
| 5 Sept 2026, 18:01 | 12,564 | +60 |
| 3 Sept 2026, 14:37 | 12,504 | +38 |
| 2 Sept 2026, 07:52 | 12,466 | +17 |
| 1 Sept 2026, 06:36 | 12,449 | +11 |
| 31 Aug 2026, 03:56 | 12,438 | +4 |
| 30 Aug 2026, 00:39 | 12,434 | +4 |
| 28 Aug 2026, 02:46 | 12,430 | +1 |
| 27 Aug 2026, 01:59 | 12,429 | +2 |
| 26 Aug 2026, 01:41 | 12,427 | +17 |
| 24 Aug 2026, 22:25 | 12,410 | +47 |
| 23 Aug 2026, 10:18 | 12,363 | -14 |
| 21 Aug 2026, 23:48 | 12,377 | -6 |
| 20 Aug 2026, 18:52 | 12,383 | -3 |
| 19 Aug 2026, 20:12 | 12,386 | first reading |
Engagement
56 posts held, back to 4 February 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 54 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.51%
- avg views ÷ 13,161 subscribers
- Avg views / post
- 330
- 29 posts measured
- Reaction rate
- 0.3%
- reactions ÷ views · ER floor
- Posts in window
- 29
- of 56 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 29 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 56 (4 February 2026 – 2 September 2026) |
| Views total | 9,567 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 22:53 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
- 9m 45s
- Average length
- 13s
Measured directly from 46 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
35 reactions across 11 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 35 | 100.0% |
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 14 of the 56 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 35 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 56 most recent posts we hold, published 4 February 2026 to 2 September 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
#AI视频 #文生视频1 👉AI视频生成机器人入口1 👉AI视频生成机器人入口2 右下角真人的手拿着笔在纸上画画,可爱的日本女人和狼形男主角的图案出现在纸上,随着一声伴奏声响起,丝乐和琴声越来越强,画上的两个人活了,女主角唱着“无限春愁横翠黛,一脉娇羞上粉腮。”双手摆动,水袖舞动,男主角将女人的衣服脱掉,女男人一丝不挂,随着一声鼓声,他们二人双手相握,四目相对定格造型,镜头快速推进定格在他们的脸和眼睛,这是一个非常奇幻的视频。
#AI视频 #文生视频1 晚上,博物馆里,天王 玉兔 两件文物在一起,闭馆关门后,它们都复活了,石兔跑到天王的怀里,天王抱着石兔拿出一个桃子给它吃。天亮了,开馆了,他们又恢复原来的样子,参观的人来来往往快进形成虚影,但文物保持不同。玉兔前面多了一颗桃核。两件文物始终保持原来的材质,天王的眼珠会动,兔子的耳朵会动。
#AI视频 #文生视频1 右下角真人的手拿着笔在纸上画画,一个裸体的亚洲女人的图案出现在纸上,随着一声京剧锣鼓声响起,京剧丝乐和鼓点越来越强,画上的裸体的亚洲女人活了,她开口唱戏“来也”,双手摆动,靠旗随着她的身段飞舞,随着一声鼓声,她最终做了一个定格造型,镜头快速推进定格在她的脸和眼睛,这是一个非常奇幻的视频。
#AI视频 #文生视频1 右下角真人的手拿着笔在纸上画画,一个京剧刀马旦的图案出现在纸上,随着一声京剧锣鼓声响起,京剧丝乐和鼓点越来越强,画上的刀马旦活了,她开口唱戏“来也”,双手摆动,靠旗随着她的身段飞舞,随着一声鼓声,她最终做了一个定格造型,镜头快速推进定格在她的脸和眼睛,这是一个非常奇幻的视频。
#AI视频 #图生视频2 For the target video, at 0.00 seconds into the target video, <Picture 1> (from [Shot 1]) is fully referenced. integrated_multimodal_description: [Shot 1] The visual style is a high-end fitness vlog shot on a mobile phone with natural window light. At 0.00 seconds, the young woman from <Picture 1>, with her exact facial features, long wavy brown hair, gold-rimmed glasses, and wearing her white satin cam…
#AI视频 #文生视频1 一位20出头的东方古代女性穿越到现代上海真实的个人度假视频日志,她第一次来到上海。生活自然、随性而发,偶尔还有些小瑕疵——绝对不是那种商业化的旅游宣传视频。角色:始终都是同一个东方古代女性。 鹅蛋脸脸型,气质凌冽,脸型流畅,长发自然披散,一侧斜插玉簪,清冷出尘,气质淡雅,丹凤眼,鼻子秀挺,嘴唇饱满柔美但边界清晰;妆容以淡雅为主;无耳饰; 衣服为淡绿色为主,内衬为白色,服饰为传统交领襦裙,交领右衽,上裾下裙,腰间系带,线条简洁,配色清冷,无花样样式。她使用自然的中文进行交谈,没有字幕、标注、翻译或屏幕上的文字提示。 摄像机:手持智能手机,屏幕格式为16:9的横向模式。自然的手臂摆动、行走时的抖动、不完美的构图、自动对焦的变动、曝光变化、真实的运动模糊效果以及手机与摄像机的结合效果。 没有无人机、云台设备,也没有任何电影级的调色或美化滤镜。 0–4秒—外滩:她以自拍的方式行走在外滩,东方明珠就…
#AI视频 #文生视频1 integrated_multimodal_description: [Shot 1] 写实华语怀旧电影质感,民国时期上海法租界雨夜,高级私人会所包厢。一男一女坐在窗边圆桌两侧低声交谈。空间以黄铜台灯、红色灯罩、墨绿丝绒窗帘、胡桃木墙板、挂着雨水的玻璃窗、细脚酒杯构成,暖金、墨绿、暗红为主色,空气潮湿克制,浅景深,细腻胶片颗粒,轻微镜头呼吸与真实电影曝光。全片严格避免大全景、远景和全身镜头,人物不从头拍到脚;主要使用胸部以上双人近景、中近景、过肩正反打和脸部近景,仅在关键情绪处短暂使用局部特写。人物脸始终足够大、清晰、稳定。女人固定在画面左侧靠窗位置,男人固定在画面右侧靠圆桌位置,全片严格保持180度轴线,男人始终朝画面左侧看向女人,女人始终朝画面右侧看向男人,人物方位不得交换。女人28岁,精致上海名媛,低盘发,珍珠耳坠,深墨绿丝绒旗袍,妆容细腻,神态冷静而带试探,声音轻、慢、柔。男人34岁,深灰三件…
#AI视频 #文生视频1 integrated_multimodal_description: [Shot 1] Live-action cinematic style with 35mm vintage film grain and a muted, low-saturation palette of warm browns, soft golds, and matte beige. A high-end 1940s Shanghai jewelry store with soft warm indoor lighting and blurred glass displays in the background. The camera is a static 85mm portrait shot, close-up from the chest up of a lean, cold-featured East Asian m…
#AI视频 #图生视频2 For the target video, at 0.00 seconds into the target video, <Picture 1> (from [Shot 1]) is fully referenced. integrated_multimodal_description: [Shot 1] Live-action PENISLORA cinematic realistic style. The video begins with the exact composition of <Picture 1>, showing a woman with long brown hair, glasses, wearing a white satin camisole and black lace panties in a brightly lit room. The camera immedi…
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本频道为爱发电⭐️,喜欢的朋友 关注/点赞/转发 一键三连👍。 >>>熟女宝鉴<<<
Showing the 12 most recent of 56 posts we hold for @aibox_aivideo. 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 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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“AI视频生成优秀案例分享” (@aibox_aivideo), 13,161 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/aibox_aivideo.
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.