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Channel

AI作画相关用法记录频道

@StableDiffusion_CN_WIKI

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

3,217subscribers

-8 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-1001757310728
TypeChannel
Username@StableDiffusion_CN_WIKI
Created10 October 2022measured — dated from the channel’s first post
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/StableDiffusion_CN_WIKI

Growth

3,2173,2263,221.57 August 2026 — 3,225 subscribers7 August 2026 — 3,225 subscribers7 August 2026 — 3,226 subscribers10 August 2026 — 3,223 subscribers13 August 2026 — 3,220 subscribers16 August 2026 — 3,217 subscribers7 August 202616 August 2026
6 measurements spanning 9 days, net -8. 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 3,216–3,227 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 15:273,217-3
13 Aug 2026, 08:183,220-3
10 Aug 2026, 10:213,223-3
7 Aug 2026, 17:283,226+1
7 Aug 2026, 09:153,225no change
7 Aug 2026, 09:043,225first reading

Engagement

18 posts held, back to 10 October 2022the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 3 pagesof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 1 December 2022. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
23s
Average length
23s

Measured directly from 1 video 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

479 reactions across 13 posts, in 13 distinct kinds. The most used accounts for 81.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍38881.0%
❤‍🔥4810.0%
112.30%
😁81.67%
🥰71.46%
👏51.04%
🌚40.835%
👎20.418%
🔥20.418%
10.209%
10.209%
10.209%
🆒10.209%

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 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 479reactions 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 10 October 2022 to 1 December 2022, 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

1 Dec 2022, 11:58 UTC≈24,600 views42 reactionsread 7 August 2026

【各平台 Dreambooth 训练方法合集列表】 ——Google Colab https://colab.research.google.com/drive/17yM4mlPVOFdJE_81oWBz5mXH9cxvhmz8 由 Nyanko Lepsoni 佬提供的 https://colab.research.google.com/drive/1C1vVZ59S4kWfL7jIsczyLpmxbD4cOA-k 由 RcINS 佬提供的 ——移动云 灵车 https://t.me/StableDiffusion_CN/395727 由 ❄️🦋 ~ Wings of Arctic 佬提供的 https://www.notion.so/fd4747a969344594aca26d24aecab402 由 eij x 佬提供的 ——AutoDL(凹凸云) https://github.com/crosstyan/d

👍372🌚2🆒1

Signed 炼铜术士

18 Oct 2022, 15:52 UTC≈38,000 views56 reactionsread 7 August 2026

群炼丹炉 https://t.me/+H4EGgSS-WH8wYzBl 收集了群友炼的各种 Textual Inversion Embeddings 和 Hypernetworks,欢迎投稿自己的作品。 仅限群内学习交流使用。 使用前请详阅wiki:https://stable-diffusion-book.vercel.app/5_drawing/#textual-inversion

👍48🌚2👎2🥰21❤‍🔥1

Signed Nyanko Lepsoni

16 Oct 2022, 10:58 UTC≈32,000 views91 reactionsread 7 August 2026

Wiki,StableDiffusionWebUi 入门到入土,主要为有能力读文档的人提供自助入门。 文档编写材料来源置顶 FAQ,群组讨论和外文教程翻译。开源项目,欢迎 PR 群内提问前应该先读一下 🍫文档地址 https://stable-diffusion-book.vercel.app 🍫国内可用别名 https://draw.dianas.cyou/ ⚙️项目地址 https://github.com/sudoskys/StableDiffusionBook 🧊短链 https://b23.ink/aibook

👍81🥰42😁21👏1

Signed Yuki Nano

14 Oct 2022, 04:19 UTC≈20,300 views57 reactionsread 7 August 2026
Video

https://github.com/DominikDoom/a1111-sd-webui-tagcomplete 这个自定义脚本还挺好用,可以让WebUI像NovaAI那样在输入时自动联想和补全标签 by 去年 夏天

👍561

Signed 炼铜术士

11 Oct 2022, 07:46 UTC≈74,700 views168 reactionsread 7 August 2026
Photo

——NovelAI泄露原版前后端部署教程 4chan优化版 naifu 支持 Colab + Linux + win 部署 自带前后端,打开网页就能用,并且可突破 prompt 77 限制 由 4chan 里 Anonymous 大佬制作 Nyanko Lepsoni & 炼铜术士 & @exlolicon 等大佬更改支持Colab PS.默认使用4G模型 (如果是本地搭建的话)最低8G显存可用,但建议10G显存 (补充:更改float16半精准6G显存可能能跑) 如需使用7G模型,可自行下载,更改启动文件里的模型路径来使用 但注意7G模型要求最低16G显存,且不保证正常使用,最好24G以上 不过4G模型、7G模型和官网,差异都不算大,因此不必强求使用7G模型 —超简单colab一键搭建 白嫖colab谷歌服务器无需本地显卡 https://colab.research.google.com/drive/1_Ma71L6uG

👍110❤‍🔥47😁62🔥2👏1

Signed 炼铜术士

11 Oct 2022, 07:46 UTC≈22,700 views8 reactionsread 7 August 2026

——NovelAI 原版网页UI+后端部署教程 Docker版 感谢由 神楽坂早苗️ 大佬提供完整的前后端部署教程 https://telegra.ph/NovelAI-%E5%8E%9F%E7%89%88%E7%BD%91%E9%A1%B5UI%E5%90%8E%E7%AB%AF%E9%83%A8%E7%BD%B2%E6%95%99%E7%A8%8B-10-10 但可能有 prompt 77 限制 突破 prompt 77限制需要以 CLIP_CONTEXTS=3 参数启动

👍8

Signed 炼铜术士

10 Oct 2022, 08:04 UTC≈19,400 views14 reactionsread 7 August 2026

——关于 AUTOMATIC1111 /stable-diffusion-webui 的 FAQ https://gist.github.com/crosstyan/f912612f4c26e298feec4a2924c41d99 由 Kurosu Chan 大佬编辑的FAQ,包含许多内容同时会更新,有问题时建议先查看一下

👍131

Signed 炼铜术士

10 Oct 2022, 07:49 UTC≈12,400 views6 reactionsread 7 August 2026

——NovelAI泄露原版后端部署教程 Colab 版 https://colab.research.google.com/drive/1X-62QjZJpZ5Ewo3w6xr9D23Tu90udvQI 由 Nyanko Lepsoni & @exlolicon 等大佬提供 能够支持在免费层级colab下以float16方式运行完整后端API 由于非常消耗资源,同时生一张图需要花费20s左右,并且只能单线程,一旦超过立即挤爆显存或黑图,一般不建议折腾 同时依然有 prompt 77 限制 突破 prompt 77限制需要以 CLIP_CONTEXTS=3 参数启动 使用方式参考上方体验版 注意要查看第6和7步骤的 bore.pub:xxx 映射地址

👏3👍21

Signed 神樂official

10 Oct 2022, 07:48 UTCviews —

AI作画相关用法记录频道 pinned «本频道目前主要记录AI作画用法搭建的相关内容教程 如Stable Diffusion、stable-diffusion、waifu-diffusion、NovelAI等 同时欢迎大家投稿,投稿方式发送到讨论群里 讨论群 https://t.me/StableDiffusion_CN bot群 https://t.me/+a590kmLPEhlkM2Ux»

10 Oct 2022, 07:48 UTC≈12,100 views10 reactionsread 7 August 2026
File

感谢由 shuix 大佬提供的部分中英文Tag对照表 2022/10/10 V2更新 补充了关于幼年男性和女性的词汇和描述

👍9🥰1

Signed 炼铜术士

10 Oct 2022, 07:47 UTC≈11,800 views0 reactionsread 7 August 2026

——NovelAI泄露原版后端部署教程 Docker版 感谢由 神楽坂早苗️ 大佬提供完整的NovelAI原版部署教程 https://telegra.ph/NovelAI%E5%8E%9F%E7%89%88%E9%83%A8%E7%BD%B2%E6%95%99%E7%A8%8B-10-07 但有 prompt 77 限制 突破 prompt 77限制需要以 CLIP_CONTEXTS=3 参数启动

Signed 炼铜术士

10 Oct 2022, 07:46 UTC≈10,900 views15 reactionsread 7 August 2026
Photo

——超简单colab一键搭建线上novelai泄露体验版(stable-diffusion-webui + animefull-final-pruned) 优点:无需显卡有网有谷歌账号即可 缺点:随时掉线、只是简单加载模型,未加载其他配置,与官后端有一定的差异 ——colab页面方面(记得不要关闭网页) colab. research. google. com/drive/1zuK0u8UW8IKMEvVNz7lU34Qph_gS14XD https://t.me/StableDiffusion_CN/394832 colab直连已经寄了(被DMCA),需要自行下载ipynb上传运行 ①↑打开由 Nyanko Lepsoni 大佬提供的colab文档链接 登录谷歌账号,左上角,代码执行程序→全部运行 ②等待连接和构建完后,下方有显示 xxx.gradio.app 网址,打开等待加载 PS.默认下载4G模型,如想下载7G模型请自

👍141

Signed 炼铜术士

Showing the 12 most recent of 18 posts we hold for @StableDiffusion_CN_WIKI. 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

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

“AI作画相关用法记录频道” (@StableDiffusion_CN_WIKI), 3,217 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/StableDiffusion_CN_WIKI.

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.