ibuki🏖🔭🎮帰宅部
📈 Analytical overview of Telegram channel ibuki🏖🔭🎮帰宅部
Channel ibuki🏖🔭🎮帰宅部 (@ibuki_kitakubu) in the Chinese language segment is an active participant. Currently, the community unites 25 742 subscribers, ranking 1 738 in the Humor & Entertainment category and 9 236 in the China region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 25 742 subscribers.
According to the latest data from 08 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -43 over the last 30 days and by 4 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 6.11%. Within the first 24 hours after publication, content typically collects 4.23% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 571 views. Within the first day, a publication typically gains 1 088 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 31.
- Thematic interests: Content is focused on key topics such as 66万, 排行榜, 播放量.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“@ibuki_animemusic”
Thanks to the high frequency of updates (latest data received on 09 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Humor & Entertainment category.
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| Date | Subscriber Growth | Mentions | Channels | |
| 09 September | +11 | |||
| 08 September | +5 | |||
| 07 September | +2 | |||
| 06 September | +3 | |||
| 05 September | +8 | |||
| 04 September | +3 | |||
| 03 September | +2 | |||
| 02 September | +10 | |||
| 01 September | +8 |
| 2 | No text... | 167 |
| 3 | No text... | 314 |
| 4 | No text... | 721 |
| 5 | No text... | 674 |
| 6 | No text... | 649 |
| 7 | No text... | 642 |
| 8 | No text... | 671 |
| 9 | No text... | 669 |
| 10 | No text... | 882 |
| 11 | No text... | 871 |
| 12 | No text... | 1 083 |
| 13 | No text... | 975 |
| 14 | 华强见宋老虎 但是唱跳RAP 【多梦综合征】【AI音乐宇宙】
忙了许久,华强再次回归。
研究了许久的Minimax H3这次是主力。全片没有使用闭源视频平台。
@多梦综合征:
发布视频
历史排行榜第4位
播放量:447.02万 弹幕:5364 评论:7689
点赞:28.67万 投币:16.21万 收藏:9.57万 转发:6.20万
发布日期:2026-08-29 03:44:17
🔝> :
许多人私信问歌曲怎么做的,统一回复一下。首先把原台词看着视频写好,先大概看一下,把曲式结构分出来,主歌、预副歌、副歌、连接部、再现部等等。支个麦克风,打开DAW的节拍器开始录制(我使用的是Cubase 14 pro),然后看着歌词和曲式标记发呆,不一会儿脑子里就会出现一些旋律,跟着脑子里的旋律把台词唱出来,录到满意为止,然后把间奏得吉他Solo大概的录一下,demo就制作完成。把这个自己唱得很难听demo上传至Suno,用Cover模式进行生成,这样歌曲的旋律和间奏就基本锁定了,将整理好的歌词填入,在风格提示词中写清楚需要的风格、配器、速度、调性、以及大致的结构、人声的演唱风格等等,然后生成,直到选到自己听着不错的编曲为止(有的时候需要在多个生成的版本中选取好的部分进行拼接)。导出全分轨,全部导入DAW,将Suno生成的人声电平衰减8-10个dB,作为铺底(因为人声转换为角色声音之后会有很大的音质损失,所以需要原声进行频响补偿)。将演唱的人声干声分轨和原剧中角色的一部分台词声导入到翻唱工具中进行角色声音替换(我使用的是SoulX-Singer),替换完成的华强和宋老虎等歌声导回到DAW中与音乐合成,对人声进行压限、混响等处理,对所有乐器进行分轨预混音(我用的是Waves),随后进行母带终混(我使用的是IZotope Ozone 9)。导出全混音进入剪映,导出人声干声作为比较难的RAP之类部分的口型引导,导出伴奏。歌曲制作结束。后面就进入ComfyUI工作流进行视频生成制作了。 | 1 133 |
| 15 | https://www.bilibili.com/video/BV1Hy4k64Erk | 1 |
| 16 | No text... | 1 068 |
| 17 | No text... | 1 074 |
| 18 | No text... | 1 202 |
| 19 | No text... | 1 182 |
| 20 | No text... | 1 353 |
