保姆级别教程（持续更新各类社区/非官方教程---- #20

zhuzaileiting · 2021-08-19T09:28:58Z

（作者借楼编辑ing
社区视频教程：
奶糖 https://www.bilibili.com/video/BV1dq4y137pH

babysor · 2021-08-19T09:56:52Z

再分享 #122

zhuzaileiting · 2021-08-19T10:04:46Z

播放都是杂音。。。。。。。。。。。。。 C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main>python synthesizer_train.py mandarin E:\datat\rain_set\train\ Arguments:     run_id:          mandarin     syn_dir:         E:\datat\rain_set\train\     models_dir:      synthesizer/saved_models/     save_every:      1000     backup_every:    25000     force_restart:   False     hparams: Checkpoint path: synthesizer\saved_models\mandarin\mandarin.pt Loading training data from: E:\datat\rain_set\train\train.txt Using model: Tacotron Using device: cpu Initialising Tacotron Model... Trainable Parameters: 30.872M Loading weights at synthesizer\saved_models\mandarin\mandarin.pt Tacotron weights loaded from step 0 Using inputs from:         E:\datat\rain_set\train\train.txt         E:\datat\rain_set\train\mels         E:\datat\rain_set\train\embeds Traceback (most recent call last):   File "synthesizer_train.py", line 35, in <module>     train(**vars(args))   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\train.py", line 111, in train     dataset = SynthesizerDataset(metadata_fpath, mel_dir, embed_dir, hparams)   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\synthesizer_dataset.py", line 12, in __init__     with metadata_fpath.open("r", encoding="utf-8") as metadata_file:   File "C:\ProgramData\Anaconda3\lib\pathlib.py", line 1221, in open     return io.open(self, mode, buffering, encoding, errors, newline,   File "C:\ProgramData\Anaconda3\lib\pathlib.py", line 1077, in _opener     return self._accessor.open(self, flags, mode) FileNotFoundError: [Errno 2] No such file or directory: 'E:\\datat\\rain_set\\train\\train.txt' C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main>python demo_toolbox.py -d E:\data\train_set\train 2021-08-19 17:56:17.809226: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not found 2021-08-19 17:56:17.809396: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine. Arguments:     datasets_root:    E:\data\train_set\train     enc_models_dir:   encoder\saved_models     syn_models_dir:   synthesizer\saved_models     voc_models_dir:   vocoder\saved_models     cpu:              False     seed:             None     no_mp3_support:   False Warning: you do not have any of the recognized datasets in E:\data\train_set\train. The recognized datasets are:         LibriSpeech/dev-clean         LibriSpeech/dev-other         LibriSpeech/test-clean         LibriSpeech/test-other         LibriSpeech/train-clean-100         LibriSpeech/train-clean-360         LibriSpeech/train-other-500         LibriTTS/dev-clean         LibriTTS/dev-other         LibriTTS/test-clean         LibriTTS/test-other         LibriTTS/train-clean-100         LibriTTS/train-clean-360         LibriTTS/train-other-500         LJSpeech-1.1         VoxCeleb1/wav         VoxCeleb1/test_wav         VoxCeleb2/dev/aac         VoxCeleb2/test/aac         VCTK-Corpus/wav48         aidatatang_200zh/corpus/dev         aidatatang_200zh/corpus/test Feel free to add your own. You can still use the toolbox by recording samples yourself. Loaded encoder "pretrained.pt" trained to step 1564501 Synthesizer using device: cpu Trainable Parameters: 30.872M Traceback (most recent call last):   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\toolbox\__init__.py", line 122, in <lambda>     func = lambda: self.synthesize() or self.vocode()   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\toolbox\__init__.py", line 229, in synthesize     specs = self.synthesizer.synthesize_spectrograms(texts, embeds)   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\inference.py", line 86, in synthesize_spectrograms     self.load()   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\inference.py", line 64, in load     self._model.load(self.model_fpath)   File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\models\tacotron.py", line 497, in load     self.load_state_dict(checkpoint["model_state"])   File "C:\ProgramData\Anaconda3\lib\site-packages\torch\nn\modules\module.py", line 1223, in load_state_dict     raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format( RuntimeError: Error(s) in loading state_dict for Tacotron:         size mismatch for encoder.embedding.weight: copying a param with shape torch.Size([75, 512]) from checkpoint, the shape in current model is torch.Size([70, 512]). | Generating 1/1 Done.

…

------------------ 原始邮件 ------------------ 发件人: "babysor/Realtime-Voice-Clone-Chinese" ***@***.***>; 发送时间: 2021年8月19日(星期四) 下午5:57 ***@***.***>; ***@***.***>;"State ***@***.***>; 主题: Re: [babysor/Realtime-Voice-Clone-Chinese] 来个保姆级别教程@@ (#20) 别害羞，快分享一下卡在哪里啦，我再优化优化 — You are receiving this because you modified the open/close state. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.

zhuzaileiting · 2021-08-19T10:06:56Z

出一个详细的教程吧，大佬👍

…

---原始邮件--- 发件人: ***@***.***> 发送时间: 2021年8月19日(周四) 下午5:57 收件人: ***@***.***>; 抄送: ***@***.***>;"State ***@***.***>; 主题: Re: [babysor/Realtime-Voice-Clone-Chinese] 来个保姆级别教程@@ (#20) 别害羞，快分享一下卡在哪里啦，我再优化优化 — You are receiving this because you modified the open/close state. Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications on the go with GitHub Mobile for iOS or Android.

babysor · 2021-08-19T10:27:19Z

这。。看起来你都没train起来synthesizer啊

zhangji261 · 2021-08-19T12:18:43Z

同求，比如数据集在哪里下载

XiuChen-Liu · 2021-08-19T12:45:41Z

同求，比如数据集在哪里下载

#14 closed裡面有同樣的問題，有放下載連結

zhuzaileiting · 2021-08-20T02:00:23Z

E:\data\aidatatang_200zh\aidatatang_200zh\corpus\train 数据集解压路径这一步synthesizer_preprocess_audio.py有问题吗
C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main>
python synthesizer_preprocess_audio.py E:\data\aidatatang_200zh\aidatatang_200zh
Arguments:
datasets_root: E:\data\aidatatang_200zh\aidatatang_200zh
out_dir: E:\data\aidatatang_200zh\aidatatang_200zh\SV2TTS\synthesizer
n_processes: None
skip_existing: False
hparams:
no_alignments: False
dataset: aidatatang_200zh

Using data from:
E:\data\aidatatang_200zh\aidatatang_200zh\aidatatang_200zh\corpus\train
Traceback (most recent call last):
File "synthesizer_preprocess_audio.py", line 63, in
preprocess_dataset(**vars(args))
File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\preprocess.py", line 32, in preprocess_dataset
assert all(input_dir.exists() for input_dir in input_dirs)
AssertionError

babysor · 2021-08-20T02:14:31Z

E:\data\aidatatang_200zh\aidatatang_200zh\corpus\train 数据集解压路径这一步synthesizer_preprocess_audio.py有问题吗
C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main>
python synthesizer_preprocess_audio.py E:\data\aidatatang_200zh\aidatatang_200zh
Arguments:
datasets_root: E:\data\aidatatang_200zh\aidatatang_200zh
out_dir: E:\data\aidatatang_200zh\aidatatang_200zh\SV2TTS\synthesizer
n_processes: None
skip_existing: False
hparams:
no_alignments: False
dataset: aidatatang_200zh

Using data from:
E:\data\aidatatang_200zh\aidatatang_200zh\aidatatang_200zh\corpus\train
Traceback (most recent call last):
File "synthesizer_preprocess_audio.py", line 63, in
preprocess_dataset(**vars(args))
File "C:\Users\Administrator\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main\synthesizer\preprocess.py", line 32, in preprocess_dataset
assert all(input_dir.exists() for input_dir in input_dirs)
AssertionError

python synthesizer_preprocess_audio.py E:\data\aidatatang_200zh 不用多一层

zhuzaileiting · 2021-08-20T02:59:52Z

python synthesizer_preprocess_audio.py E:\data\aidatatang_200zh 不用多一层
解决了

zhuzaileiting · 2021-08-20T03:00:14Z

python synthesizer_preprocess_audio.py E:\data\aidatatang_200zh 不用多一层
@解决了大佬

zhuzaileiting · 2021-08-22T22:17:22Z

这步也太慢了。。。
C:\Users\lxd\Desktop\Realtime-Voice-Clone-Chinese-main\Realtime-Voice-Clone-Chinese-main>python synthesizer_train.py mandarin D:\data\aidatatang_200zh\SV2TTS\synthesizer
Arguments:
run_id: mandarin
syn_dir: D:\data\aidatatang_200zh\SV2TTS\synthesizer
models_dir: synthesizer/saved_models/
save_every: 1000
backup_every: 25000
force_restart: False
hparams:

Checkpoint path: synthesizer\saved_models\mandarin\mandarin.pt
Loading training data from: D:\data\aidatatang_200zh\SV2TTS\synthesizer\train.txt
Using model: Tacotron
Using device: cpu

Initialising Tacotron Model...

Trainable Parameters: 30.872M

Loading weights at synthesizer\saved_models\mandarin\mandarin.pt
Tacotron weights loaded from step 0
Using inputs from:
D:\data\aidatatang_200zh\SV2TTS\synthesizer\train.txt
D:\data\aidatatang_200zh\SV2TTS\synthesizer\mels
D:\data\aidatatang_200zh\SV2TTS\synthesizer\embeds
Found 122482 samples
+----------------+------------+---------------+------------------+
| Steps with r=2 | Batch Size | Learning Rate | Outputs/Step (r) |
+----------------+------------+---------------+------------------+
| 20k Steps | 12 | 0.001 | 2 |
+----------------+------------+---------------+------------------+

{| Epoch: 1/2 (500/10207) | Loss: 0.9025 | 0.065 steps/s | Step: 0k | }Input at step 500: wo3 yao4 gei3 wang2 ming2 da3 dian4 hua4~__________________________________________________________
{| Epoch: 1/2 (1000/10207) | Loss: 0.8266 | 0.071 steps/s | Step: 1k | }Input at step 1000: na4 me wo3 jiu4 chong2 xin1 ren4 shi2 ni3~______________________________________________________________
{| Epoch: 1/2 (1500/10207) | Loss: 0.7602 | 0.074 steps/s | Step: 1k | }Input at step 1500: mei3 tian1 dou1 na4 me wan3 shui4 jiao4~___________________________________
{| Epoch: 1/2 (2000/10207) | Loss: 0.7415 | 0.075 steps/s | Step: 2k | }Input at step 2000: da3 dian4 hua4 gei3 deng4 han4 ling2~_________________________________________________________________________
{| Epoch: 1/2 (2500/10207) | Loss: 0.6921 | 0.068 steps/s | Step: 2k | }Input at step 2500: zhen1 xiang4 yong3 yuan3 zhi3 you3 yi2 ge4~___________________________________
{| Epoch: 1/2 (3000/10207) | Loss: 0.6741 | 0.072 steps/s | Step: 3k | }Input at step 3000: xia4 men2 wai4 guo2 yu3 xue2 xiao4 chu1 er4 nian2 ji2 chen2 xiao3 qi2 jia1 de zhu4 zhi3~
{| Epoch: 1/2 (3500/10207) | Loss: 0.6499 | 0.070 steps/s | Step: 3k | }Input at step 3500: ru2 guo3 wo3 he2 ni3 zai4 yi4 qi3~_______________________________________________________
{| Epoch: 1/2 (4000/10207) | Loss: 0.6679 | 0.073 steps/s | Step: 4k | }Input at step 4000: fu4 jin4 de ping2 an1 yin2 hang2~_________________________________
{| Epoch: 1/2 (4500/10207) | Loss: 0.6349 | 0.069 steps/s | Step: 4k | }Input at step 4500: ming2 zi4 shi4 hui3 guo4 cheng2 nuo4 shu1~_____________________________________________________
{| Epoch: 1/2 (5000/10207) | Loss: 0.6392 | 0.073 steps/s | Step: 5k | }Input at step 5000: wo3 shen2 me shi2 hou4 cai2 neng2 chong1 man3 dian4~_______________________
{| Epoch: 1/2 (5500/10207) | Loss: 0.6293 | 0.073 steps/s | Step: 5k | }Input at step 5500: wo3 da3 ni3 hao3 bu4 hao3 ma ge2 shi4 chong2 fu4~___________
{| Epoch: 1/2 (6000/10207) | Loss: 0.6715 | 0.077 steps/s | Step: 6k | }Input at step 6000: ci3 ji4 hao3 wu2 liao2 da3 yi1 dian4 ying3 ming2~___________________________________
{| Epoch: 1/2 (6500/10207) | Loss: 0.6446 | 0.075 steps/s | Step: 6k | }Input at step 6500: wo3 gei3 ni3 fa1 de ni3 shou1 dao4 le ma~___________________________________________________________
{| Epoch: 1/2 (7000/10207) | Loss: 0.6022 | 0.068 steps/s | Step: 7k | }Input at step 7000: ning4 que1 wu2 lan4 zhi3 wei4 yi3 hou4 de du2 yi1 wu2 er4~________________________
{| Epoch: 1/2 (7500/10207) | Loss: 0.6178 | 0.067 steps/s | Step: 7k | }Input at step 7500: mei2 you3 wang3 luo4 ni3 hai2 hui4 liao2 tian1 ma~______________________
{| Epoch: 1/2 (8000/10207) | Loss: 0.6041 | 0.068 steps/s | Step: 8k | }Input at step 8000: wo3 bu4 fa1 le wo3 yao4 shui4 jiao4 le~____________________________________________________________________________________________
{| Epoch: 1/2 (8500/10207) | Loss: 0.6078 | 0.072 steps/s | Step: 8k | }Input at step 8500: ni3 cai1 lai2 cai1 qu4 ye3 cai1 bu4 ming2 bai2~____________________________________________________
{| Epoch: 1/2 (9000/10207) | Loss: 0.6055 | 0.072 steps/s | Step: 9k | }Input at step 9000: ni3 wen4 le wo3 tou2 dou1 da4 le~_______________________________________
{| Epoch: 1/2 (9500/10207) | Loss: 0.5816 | 0.069 steps/s | Step: 9k | }Input at step 9500: xia4 ban1 mei2 you3 mei2 chu1 qu4 guang4~_______________________________________
{| Epoch: 1/2 (10000/10207) | Loss: 0.5664 | 0.068 steps/s | Step: 10k | }Input at step 10000: ni3 jin1 tian1 bu2 shi4 bu4 shang4 ban1 ma~__________________________________________________
{| Epoch: 1/2 (10207/10207) | Loss: 0.5879 | 0.071 steps/s | Step: 10k | }
{| Epoch: 2/2 (293/10207) | Loss: 0.5840 | 0.070 steps/s | Step: 10k | }Input at step 10500: ai4 qing2 xiao3 shuo1 ma2 que4 gao3 ding4 hua1 mei3 nan2~_________________________________
{| Epoch: 2/2 (322/10207) | Loss: 0.5892 | 0.070 steps/s | Step: 10k | }

miven · 2021-08-23T04:12:39Z

@zhuzaileiting 你这是用cpu训练的，GPU速度大概在1.3-2 steps/s

zhuzaileiting · 2021-08-23T06:25:20Z

...GPU，怎么配置显卡全局配置了呀。。

dukechain2333 · 2021-08-23T12:11:39Z

Arguments:
datasets_root: D:\Data\aidatatang_200zh
out_dir: D:\Data\aidatatang_200zh\SV2TTS\synthesizer
n_processes: None
skip_existing: False
hparams:
no_alignments: False
dataset: aidatatang_200zh

Using data from:
D:\Data\aidatatang_200zh\aidatatang_200zh\corpus\train
Traceback (most recent call last):
File "synthesizer_preprocess_audio.py", line 63, in
preprocess_dataset(**vars(args))
File "D:\Realtime-Voice-Clone-Chinese\synthesizer\preprocess.py", line 32, in preprocess_dataset
assert all(input_dir.exists() for input_dir in input_dirs)
AssertionError

dukechain2333 · 2021-08-23T12:12:02Z

路径好像没啥问题啊

dukechain2333 · 2021-08-23T12:13:47Z

trian里是长这样的嘛

yuzd · 2021-08-24T01:29:23Z

有群吗一起交流下怎么跑

babysor · 2021-08-24T02:31:02Z

7天有效

hexiosr · 2021-08-31T08:47:18Z

7天有效

二维码过期了

oceanarium · 2021-08-31T14:57:17Z

7天有效

二维码过期了

josh-zhu · 2021-09-08T07:32:04Z

群二维码过期了，求更

JackChow6 · 2021-09-12T07:22:27Z

二维码过期了，求更

babysor · 2021-09-12T11:48:01Z

babysor · 2021-09-12T11:48:15Z

群二维码过期了，求更

见上

JackChow6 · 2021-09-12T15:28:15Z

群二维码过期了，求更

见上

谢谢你

chloe5685 · 2021-09-19T13:26:56Z

二维码失效了呜呜呜

babysor · 2021-09-19T17:01:37Z

@chloe5685

Notingnoone · 2022-10-13T15:49:18Z

请问训练合成器的时候有一步还是挺好的，怎么回退，然后接着训练，顺便再要一下群码

babysor · 2022-10-15T03:46:17Z

请问训练合成器的时候有一步还是挺好的，怎么回退，然后接着训练，顺便再要一下群码

找之前的保存点

HelloOnePiece · 2022-10-18T14:55:57Z

欢迎大家进群交流

ZhangHLong · 2022-10-28T03:23:42Z

Mac 上传本地音频文件时，发现有异常，有遇到的吗？怎么解啊！
File "/Users/zhangsan/miniconda3/lib/python3.9/site-packages/matplotlib/axes/_base.py", line 3613, in _validate_converted_limits
raise ValueError("Axis limits cannot be NaN or Inf")
ValueError: Axis limits cannot be NaN or Inf

GaverChou · 2022-12-12T10:03:01Z

求更新

ngbruce · 2022-12-13T03:07:03Z

请问能发一下群二维码吗？谢谢。

cyancity · 2023-01-05T09:38:34Z

求更新群二维码

babysor · 2023-01-16T03:25:38Z

dumojun101 · 2023-01-27T05:36:35Z

请问能发一下群二维码吗？谢谢。

BinLiang2021 · 2023-02-09T10:21:50Z

还有群么

sap6110 · 2023-02-24T16:53:09Z

还有群吗

impvd · 2023-03-07T11:20:29Z

求更新群二维码

yt605155624 · 2023-03-09T02:40:43Z

@BinLiang2021 @sap6110 @impvd

barretzhi · 2023-03-16T11:38:34Z

求更新群二维码

yt605155624 · 2023-03-16T15:10:36Z

wgfire · 2023-03-27T13:40:39Z

还有群吗，进群学习下

mengguyi · 2023-03-28T03:53:56Z

求更新群二维码

Cauvinist · 2023-03-29T03:09:34Z

求更新二维码

yt605155624 · 2023-03-29T03:12:28Z

MR-MaoJiu · 2023-04-09T01:28:46Z

过期了555555555

zhangmm2 · 2023-04-27T18:25:24Z

二维码都过期，小白求教

alihua123 · 2023-05-31T03:50:45Z

求更新二维码

joisonwk · 2023-06-17T10:28:21Z

求更新二维码

xixiaoyue · 2023-06-20T01:25:23Z

求带炼丹

PengChaoJay · 2023-08-15T11:32:37Z

求更新一波二维码

PengChaoJay · 2023-08-15T11:32:52Z

哪里可以炼丹

dorbodwolf · 2023-11-20T06:16:45Z

求更新二维码

zyzfred · 2024-04-07T08:21:07Z

求更新二维码

zyzfred · 2024-04-07T08:21:22Z

求更新二维码

zhuzaileiting closed this as completed Aug 19, 2021

babysor reopened this Aug 19, 2021

babysor mentioned this issue Sep 7, 2021

想要支持更多数据集？在这里提建议 #10

Open

This comment was marked as off-topic.

Sign in to view

保姆级别教程（持续更新各类社区/非官方教程---- #20

保姆级别教程（持续更新各类社区/非官方教程---- #20

Comments

zhuzaileiting commented Aug 19, 2021 • edited by babysor

babysor commented Aug 19, 2021 • edited

zhuzaileiting commented Aug 19, 2021 via email

zhuzaileiting commented Aug 19, 2021 via email

babysor commented Aug 19, 2021

zhangji261 commented Aug 19, 2021

XiuChen-Liu commented Aug 19, 2021 • edited

zhuzaileiting commented Aug 20, 2021

babysor commented Aug 20, 2021

zhuzaileiting commented Aug 20, 2021

zhuzaileiting commented Aug 20, 2021

zhuzaileiting commented Aug 22, 2021

miven commented Aug 23, 2021

zhuzaileiting commented Aug 23, 2021

dukechain2333 commented Aug 23, 2021

dukechain2333 commented Aug 23, 2021

dukechain2333 commented Aug 23, 2021

yuzd commented Aug 24, 2021

babysor commented Aug 24, 2021

hexiosr commented Aug 31, 2021 • edited

oceanarium commented Aug 31, 2021

josh-zhu commented Sep 8, 2021

JackChow6 commented Sep 12, 2021

babysor commented Sep 12, 2021

babysor commented Sep 12, 2021

JackChow6 commented Sep 12, 2021

chloe5685 commented Sep 19, 2021

babysor commented Sep 19, 2021

Notingnoone commented Oct 13, 2022

babysor commented Oct 15, 2022

HelloOnePiece commented Oct 18, 2022

ZhangHLong commented Oct 28, 2022

GaverChou commented Dec 12, 2022

ngbruce commented Dec 13, 2022

cyancity commented Jan 5, 2023

This comment was marked as off-topic.

babysor commented Jan 16, 2023

dumojun101 commented Jan 27, 2023

BinLiang2021 commented Feb 9, 2023

sap6110 commented Feb 24, 2023

impvd commented Mar 7, 2023

yt605155624 commented Mar 9, 2023

barretzhi commented Mar 16, 2023

yt605155624 commented Mar 16, 2023

wgfire commented Mar 27, 2023

mengguyi commented Mar 28, 2023

Cauvinist commented Mar 29, 2023

yt605155624 commented Mar 29, 2023

MR-MaoJiu commented Apr 9, 2023

zhangmm2 commented Apr 27, 2023

alihua123 commented May 31, 2023

joisonwk commented Jun 17, 2023

xixiaoyue commented Jun 20, 2023

PengChaoJay commented Aug 15, 2023

PengChaoJay commented Aug 15, 2023

dorbodwolf commented Nov 20, 2023

zyzfred commented Apr 7, 2024

zyzfred commented Apr 7, 2024

zhuzaileiting commented Aug 19, 2021 •

edited by babysor

babysor commented Aug 19, 2021 •

edited

XiuChen-Liu commented Aug 19, 2021 •

edited

hexiosr commented Aug 31, 2021 •

edited