AI로 인해서 더 심해진 느낌이긴 한데
딸깍하면 다 나온다고 하지만
정작 딸깍해서 무언가 만들고 더 나가아가는 사람은 여전히 극히 일부이고
유튜브로 보는 도파민 뿜뿜하는 것들만 봐서 그런가
성공은 당연한거고 실패는 패배자들이나 하는
노력에 대한 것 자체를 평가절하는 시대가 되어버린 것 같다
자꾸 꼰대가 되어가고 싶은 밤이네
[링크 : https://news.nate.com/view/20260506n36389] "입사 쉬웠던 대기업, 30년 다닌 게 대단?"…비아냥에 누리꾼 반응은
[링크 : https://pann.nate.com/talk/375393906] << 원문
tmux는 기본적으로 ctrl-b 단축키로 모드 전환하는데
screen이 ctrl-a를 쓰다보니 대부분 바꾸어서 쓰는듯.
| $ cat ~/.tmux.conf # remap prefix to Control + a set -g prefix C-a # bind 'C-a C-a' to type 'C-a' bind C-a send-prefix unbind C-b |
| C-a c 새 창 열기 C-a 0~9 창 이동 단축키 C-a n 다음 창 C-a p 이전 창 C-a " 세로 패널 나누기 C-a % 가로 패널 나누기 C-a 방향키 해당 방향 으로 패널 이동 |
[링크 : https://gist.github.com/andreyvit/2921703]
얘도 동일하게 detach가 있나보다.
| C-a d detach |
[링크 : https://blog.naver.com/jaydee88/221330638931]
기본으로는 안되고 단축키를 할당해주어야 마우스로 패널 크기 조정이 가능한가보다.
| set -g mouse on setw -g mode-keys vi # Use Alt-arrow keys without prefix key to switch panes bind -n M-Left select-pane -L bind -n M-Right select-pane -R bind -n M-Up select-pane -U bind -n M-Down select-pane -D # Shift arrow to switch windows bind -n S-Left previous-window bind -n S-Right next-window # scrollback buffer size increase set -g history-limit 100000 # change window order bind-key -n C-S-Left swap-window -t -1 bind-key -n C-S-Right swap-window -t +1 # disable window name auto change set-option -g allow-rename off # bar color set -g status-bg black set -g status-fg white # toggle pane title visibility bind T run 'zsh -c "arr=( off top ) && tmux setw pane-border-status \${arr[\$(( \${arr[(I)#{pane-border-status}]} % 2 + 1 ))]}"' # rename pane bind t command-prompt -p "(rename-pane)" -I "#T" "select-pane -T '%%'" |
[링크 : https://hydragon-cv.info/entry/tmux에서-마우스-사용하기]
+
2026.05.28
ctrl b - s // 먼가 가로 정렬해서 미리보기 느낌. 엔터 치면 미리보기 종료
ctrl b - w // 창 목록 떠서 고를수 있음
[링크 : https://www.reddit.com/r/tmux/comments/1dhsqsg/display_all_windows_side_by_side/?tl=ko]
| microhttpd (0) | 2026.06.05 |
|---|---|
| openscad (0) | 2026.05.27 |
| appimage , AppImageLauncher (0) | 2026.04.20 |
| usb device tree viewer (0) | 2026.02.22 |
| exaone 경량 모델 (0) | 2026.02.04 |
아따 많이도 찾아봤었네 -_-
집에는 라즈베리 하나 켜놓고 회사에 켠 녀석을 집으로 SSH 접속하게 하고
집에서는 내부 아이피로 역으로 접속할수 있는 시스템을 만들려고 하는 중
[링크 : https://manpages.ubuntu.com/manpages/jammy/man1/autossh.1.html]
[링크 : https://lstm.tistory.com/10]
[링크 : https://m.clien.net/service/board/cm_linux/4344761]
[링크 : https://sangwonyoon.tistory.com/m/entry/Autossh로-SSH-연결-유지하기]
2018.05.14 - [프로그램 사용/ssh scp sftp] - reverse SSH
2021.01.03 - [프로그램 사용/ssh scp sftp] - reverse ssh
-------------------
2026.05.13
아래 링크의 옵션 참조했음
[링크 : https://donotlimityourself.tistory.com/33[
private(회사)
원격지에 2222 포트로 현재 pc의 22번 포트를 돌린다~ 라는 의미 인듯한데
그래서 listen에 추가로 포트가 열리지도 않았고, 정상적으로 실행이 되는 건가 보다.
| $ ssh minimonk@집SSH도메인 -p 8022 -f -N -T -R 2222:localhost:22 minimonk@집SSH도메인's password: $ ps -ef | grep ssh root 900 1 0 5월12 ? 00:00:00 sshd: /usr/sbin/sshd -D [listener] 0 of 10-100 startups root 2298 900 0 5월12 ? 00:00:00 sshd: minimonk [priv] minimonk 2385 2298 0 5월12 ? 00:05:27 sshd: minimonk@pts/0 root 5656 900 0 5월12 ? 00:00:00 sshd: minimonk [priv] minimonk 5735 5656 0 5월12 ? 00:00:00 sshd: minimonk@pts/7 minimonk 10717 1 0 09:58 ? 00:00:00 ssh minimonk@집SSH도메인 -p 8022 -f -N -T -R 2222:localhost:22 minimonk 10719 5736 0 09:58 pts/7 00:00:00 grep --color=auto ssh $ netstat -tnlp (Not all processes could be identified, non-owned process info will not be shown, you would have to be root to see it all.) Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 127.0.0.1:39557 0.0.0.0:* LISTEN 3128/language_serve tcp 0 0 127.0.0.1:5803 0.0.0.0:* LISTEN 5350/llama-server tcp 0 0 127.0.0.1:38605 0.0.0.0:* LISTEN 3128/language_serve tcp 0 0 127.0.0.1:6010 0.0.0.0:* LISTEN - tcp 0 0 127.0.0.1:6012 0.0.0.0:* LISTEN - tcp 0 0 127.0.0.1:45837 0.0.0.0:* LISTEN 6184/language_serve tcp 0 0 0.0.0.0:7860 0.0.0.0:* LISTEN 5584/venv/bin/pytho tcp 0 0 127.0.0.1:36141 0.0.0.0:* LISTEN 6184/language_serve tcp 0 0 127.0.0.1:36197 0.0.0.0:* LISTEN 6184/language_serve tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN - tcp 0 0 127.0.0.1:44747 0.0.0.0:* LISTEN 3016/antigravity tcp 0 0 127.0.0.1:35159 0.0.0.0:* LISTEN 6061/exe tcp 0 0 127.0.0.1:34279 0.0.0.0:* LISTEN 3016/antigravity tcp 0 0 127.0.0.53:53 0.0.0.0:* LISTEN - tcp 0 0 127.0.0.1:631 0.0.0.0:* LISTEN - tcp6 0 0 :::5900 :::* LISTEN 1502/gnome-remote-d tcp6 0 0 ::1:631 :::* LISTEN - tcp6 0 0 :::8080 :::* LISTEN 5256/./llama-swap tcp6 0 0 :::22 :::* LISTEN - tcp6 0 0 ::1:6010 :::* LISTEN - tcp6 0 0 ::1:6012 :::* LISTEN - tcp6 0 0 :::3389 :::* LISTEN 1502/gnome-remote-d |
public(내 집)
| 접속전 $ netstat -tnlp (Not all processes could be identified, non-owned process info will not be shown, you would have to be root to see it all.) Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN - tcp6 0 0 :::22 :::* LISTEN - 접속후 $ netstat -tnlp (Not all processes could be identified, non-owned process info will not be shown, you would have to be root to see it all.) Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN - tcp 0 0 127.0.0.1:2222 0.0.0.0:* LISTEN - tcp6 0 0 :::22 :::* LISTEN - tcp6 0 0 ::1:2222 :::* LISTEN - |
SSH 옵션을 보면 -fNTR 에서 -f이 백그라운드로 뜨게 하느것이고
NT는 터미널 관련, 명령 실행 관련
R은 원격지 포트에 내껄 붙인다는 의미
역시 NTR은 좋은것이여... (응?)
| -f Requests ssh to go to background just before command execution. This is useful if ssh is going to ask for passwords or passphrases, but the user wants it in the background. This im‐ plies -n. The recommended way to start X11 programs at a remote site is with something like ssh -f host xterm. If the ExitOnForwardFailure configuration option is set to “yes”, then a client started with -f will wait for all remote port for‐ wards to be successfully established before placing itself in the background. Refer to the description of ForkAfterAuthentication in ssh_config(5) for details. -N Do not execute a remote command. This is useful for just for‐ warding ports. Refer to the description of SessionType in ssh_config(5) for details. -T Disable pseudo-terminal allocation. -R [bind_address:]port:host:hostport -R [bind_address:]port:local_socket -R remote_socket:host:hostport -R remote_socket:local_socket -R [bind_address:]port Specifies that connections to the given TCP port or Unix socket on the remote (server) host are to be forwarded to the local side. |
이제 autossh를 설치하고
| $ sudo apt-get install autossh Reading package lists... Done Building dependency tree... Done Reading state information... Done The following NEW packages will be installed: autossh 0 upgraded, 1 newly installed, 0 to remove and 47 not upgraded. Need to get 29.2 kB of archives. After this operation, 89.1 kB of additional disk space will be used. Get:1 http://kr.archive.ubuntu.com/ubuntu jammy/universe amd64 autossh amd64 1.4g-1 [29.2 kB] Fetched 29.2 kB in 0s (217 kB/s) Selecting previously unselected package autossh. (Reading database ... 322586 files and directories currently installed.) Preparing to unpack .../autossh_1.4g-1_amd64.deb ... Unpacking autossh (1.4g-1) ... Setting up autossh (1.4g-1) ... Processing triggers for man-db (2.10.2-1) ... |
public 쪽에 로그인이 되도록 키를 복사하려는데 안되네 -_-???
아무튼 키를 생성하고 해주면 끝
| $ ssh-copy-id -p 8022 minimonk@집SSH도메인 /usr/bin/ssh-copy-id: ERROR: No identities found $ ssh-keygen |
-f 를 넣으면 키를 넣어줘도 로그인이 안되서 일단 빼고 하니 되긴한데..
| $ autossh -M -0 -o "ServerAliveinterval 30" -o "ServerAliveCountMax 3" -T -R 2222:localhost:22 minimonk@집SSH도메인 -p 2022 |
[링크 : https://sangwonyoon.tistory.com/entry/Autossh로-SSH-연결-유지하기]
autossh가 죽으면 어쩌지 싶어서 데몬으로 된 거 없나 찾아 봐야 할 듯.
[링크 : https://tecadmin.net/autossh-persistent-ssh-connections/]
+
여러 번의 인자를 사용하면 복수의 포트를 포워딩 할 수 있다.
| ssh remote-host -L 8822:REMOTE_IP_1:22 -L 9922:REMOTE_IP_2:22 |
[링크 : https://stackoverflow.com/questions/29936948/ssh-l-forward-multiple-ports]
+
아래를 public 쪽 sshd_config 에 설정해주고 sshd를 재기동하고
| $ cat /etc/ssh/sshd_config # GatewayPorts no GatewayPorts yes $ sudo systemctl restart sshd |
2222 대신 0.0.0.0:2222 라고 입력하고 실행하면
| $ ssh minimonk@집SSH도메인 -p 8022 -f -N -T -R 0.0.0.0:2222:localhost:22 |
localhost로 되어있던걸
| $ netstat -tnlp (Not all processes could be identified, non-owned process info will not be shown, you would have to be root to see it all.) Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN - tcp 0 0 127.0.0.1:2222 0.0.0.0:* LISTEN - tcp 0 0 127.0.0.1:6010 0.0.0.0:* LISTEN - tcp6 0 0 :::22 :::* LISTEN - tcp6 0 0 ::1:2222 :::* LISTEN - tcp6 0 0 ::1:6010 :::* LISTEN - |
0.0.0.0 으로 바꾸어서 public 서버의 서비스 인것 처럼 붙일수도 있다.
| $ netstat -tnlp (Not all processes could be identified, non-owned process info will not be shown, you would have to be root to see it all.) Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN - tcp 0 0 0.0.0.0:2222 0.0.0.0:* LISTEN - tcp 0 0 127.0.0.1:6010 0.0.0.0:* LISTEN - tcp6 0 0 :::22 :::* LISTEN - tcp6 0 0 :::2222 :::* LISTEN - tcp6 0 0 ::1:6010 :::* LISTEN - |
| ssh -t (0) | 2025.09.08 |
|---|---|
| ssh-copy-id (0) | 2025.04.18 |
| ssh socks proxy (0) | 2024.07.22 |
| ssh ecdsa 미지원(ubuntu 22.04) (0) | 2023.05.30 |
| ubuntu ssh x11 forwarding시 gnome 화면 끌어오기 (0) | 2022.07.11 |
결국은 또 스타일시트 도배?
일단 객체의 이름을 지어주고
스타일시트에다가 굵게, 크게, 흰색으로 넣어주었다.
그러면. padding left 등도 지정이 가능하겠는데?
| QPushButton#backBtn { font:bold; font-size: 36px; color: white; padding-left:40px; } |
오.. 되는데 이상하다?
왜 밀리긴 한데 잘리지?
[링크 : https://forum.qt.io/topic/75603/how-to-set-size-and-font-for-a-qpushbutton/2]
프로그램으로는 직접 <font> 태그 먹이는것 같은데 qt designer에서는 안되네
| QString arg() (0) | 2026.05.13 |
|---|---|
| qt 동적 크기 (0) | 2026.05.12 |
| qt5 창 내용 바꾸기 (0) | 2026.05.07 |
| qt QPushButton 에서 이미지로 대체하기 (hover) (0) | 2026.04.29 |
| QT QLabel 배경색상 넣기 (0) | 2026.04.29 |
음성인식 - 그림 들어가면 그리기
그림 넣고 캡션에 그림 있으면 img2img로 작동시키기
| rag 관련 라이브러리, 방법 조사중 (0) | 2026.05.12 |
|---|---|
| stable diffusion 모델 변경(SD -> SDXL) (0) | 2026.05.12 |
| litert-lm 와 gemma4-e2b mtp 일단 실패 (0) | 2026.05.10 |
| vLLM (0) | 2026.05.10 |
| Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice 시도 실패 (0) | 2026.05.10 |
길 못 찾아서 찾아봄 ㅠㅠ
| doom eternal ancient god part 2 (0) | 2026.06.04 |
|---|---|
| doom eternal / dlc 1편 완료 (0) | 2026.05.28 |
| 둠 이터널 노말 난이도 끝 (2) | 2026.01.24 |
| 둠 이터널 - 우르닥 (3) | 2026.01.19 |
| 둠 이터널 - 네크라볼 / 네크라볼 파트 2 (0) | 2026.01.17 |
흐음.. 신기한걸 알았는데.. 또 파이썬이네.
핸드폰에서 돌려놓기도 하는거 보면 제법 가볍긴 한다 보다.
| D:\study\llm>pip install litert-lm D:\study\llm>litert-lm CLI tool for LiteRT-LM models. Usage: litert-lm [OPTIONS] COMMAND [ARGS]... Commands: benchmark Benchmarks a LiteRT-LM model. delete Deletes a model from the local storage. import Imports a model from a local path or HuggingFace hub. list Lists all imported LiteRT-LM models. rename Renames a model. run Runs a LiteRT-LM model interactively or with a single prompt. serve Start a server with a Gemini or OpenAI compatible API (alpha feature) Global options: --version Show the version and exit. -h, --help Show this message and exit. D:\study\llm>litert-lm run --from-huggingface-repo=litert-community/gemma-4-E4B-it-litert-lm gemma-4-E4B-it.litertlm --backend=gpu --enable-speculative-decoding=true --prompt="What is the capital of France?" Downloading gemma-4-E4B-it.litertlm from litert-community/gemma-4-E4B-it-litert-lm... gemma-4-E4B-it.litertlm: 0%| | 92.3k/3.66G [00:01<16:44:38, 60.7kB/s] gemma-4-E4B-it.litertlm: 100%|████████████████████████████████████████████████████| 3.66G/3.66G [05:00<00:00, 12.2MB/s] C:\Users\minimonk\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\file_download.py:143: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\minimonk\.cache\huggingface\hub\models--litert-community--gemma-4-E4B-it-litert-lm. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations. To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development warnings.warn(message) The capital of France is **Paris**. |
찾아보니 저장소의 파일명이 그런거였군.
[링크 : https://huggingface.co/litert-community/gemma-4-E4B-it-litert-lm/tree/main]
[링크 : https://huggingface.co/metricspace/gemma4-E2B-it-litert-128k-mtp/tree/main]
mtp 들어가면서 안되나?
| D:\study\llm>litert-lm run --from-huggingface-repo=metricspace/gemma4-E2B-it-litert-128k-mtp model.litertlm --backend=gpu --enable-speculative-decoding=true --prompt="What is the capital of France?" Downloading model.litertlm from metricspace/gemma4-E2B-it-litert-128k-mtp... E0000 00:00:1778407860.973266 8280 delegate_webgpu.cc:373] Failed to create litert::ml_drift::DelegateKernelLiteRt: RESOURCE_EXHAUSTED: Requested allocation size - 4294967296 bytes. Max allocation size for this GPU - 2147483648 bytes. Shape - {bhwdc, {1, 1, 8192, 1, 131072}}, data type - float32. === Source Location Trace: === third_party/ml_drift/common/task/tensor_desc.cc:1846 third_party/ml_drift/common/gpu_model_util.cc:232 third_party/ml_drift/common/gpu_model_util.cc:269 third_party/ml_drift/common/gpu_model_util.cc:432 third_party/odml/litert/ml_drift/delegate/delegate_kernel.cc:765 third_party/odml/litert/ml_drift/delegate/delegate_kernel.cc:695 third_party/odml/litert/ml_drift/delegate/delegate_kernel.cc:787 third_party/odml/litert/ml_drift/delegate/delegate_kernel.cc:284 third_party/odml/litert/ml_drift/delegate/delegate_kernel_litert.cc:167 ERROR: Failed to initialize kernel. ERROR: Node number 223 (STABLEHLO_COMPOSITE) failed to prepare. E0000 00:00:1778407862.768911 8280 engine.cc:491] Failed to create engine: INTERNAL: ERROR: [third_party/odml/litert_lm/runtime/executor/llm_litert_compiled_model_executor.cc:1928] ??ERROR: [./third_party/odml/litert/litert/cc/litert_compiled_model.h:1780] === Source Location Trace: === ./third_party/odml/litert/litert/cc/litert_macros.h:538 third_party/odml/litert_lm/runtime/executor/llm_litert_compiled_model_executor_factory.cc:144 third_party/odml/litert_lm/runtime/core/engine_impl.cc:384 An error occurred Traceback (most recent call last): File "C:\Users\minimonk\AppData\Local\Programs\Python\Python310\lib\site-packages\litert_lm_cli\model.py", line 255, in run_interactive engine_cm = litert_lm.Engine( File "C:\Users\ minimonk \AppData\Local\Programs\Python\Python310\lib\site-packages\litert_lm\engine.py", line 82, in __init__ raise RuntimeError( RuntimeError: Failed to create LiteRT-LM engine for C:\Users\ minimonk \.cache\huggingface\hub\models--metricspace--gemma4-E2B-it-litert-128k-mtp\snapshots\4dae3505f550397923c206eaa63be84f17ee43cb\model.litertlm |
[링크 : https://github.com/google-ai-edge/LiteRT-LM]
[링크 : https://huggingface.co/metricspace/gemma4-E2B-it-litert-128k-mtp]
| stable diffusion 모델 변경(SD -> SDXL) (0) | 2026.05.12 |
|---|---|
| 텔레그램 봇 업데이트 / 그림 그리기 (4) | 2026.05.11 |
| vLLM (0) | 2026.05.10 |
| Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice 시도 실패 (0) | 2026.05.10 |
| supertone/supertonic3 시도 (0) | 2026.05.10 |
| 텔레그램 봇 업데이트 / 그림 그리기 (4) | 2026.05.11 |
|---|---|
| litert-lm 와 gemma4-e2b mtp 일단 실패 (0) | 2026.05.10 |
| Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice 시도 실패 (0) | 2026.05.10 |
| supertone/supertonic3 시도 (0) | 2026.05.10 |
| outetts 시도 (0) | 2026.05.10 |
qwen 형님으로 모셔야 하나 ㅋㅋㅋ
| D:\study\llm>pip install soundfile torch qwen_tts D:\study\llm>python Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> import torch >>> import soundfile as sf >>> from qwen_tts import Qwen3TTSModel ******** Warning: flash-attn is not installed. Will only run the manual PyTorch version. Please install flash-attn for faster inference. ******** 'sox' is not recognized as an internal or external command, operable program or batch file. SoX could not be found! If you do not have SoX, proceed here: - - - http://sox.sourceforge.net/ - - - If you do (or think that you should) have SoX, double-check your path variables. >>> >>> model = Qwen3TTSModel.from_pretrained( ... "Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice", ... device_map="cuda:0", ... dtype=torch.bfloat16, ... attn_implementation="flash_attention_2", ... ) config.json: 4.91kB [00:00, 4.70MB/s] C:\Users\minimonk\AppData\Local\Programs\Python\Python310\lib\site-packages\huggingface_hub\file_download.py:143: UserWarning: `huggingface_hub` cache-system uses symlinks by default to efficiently store duplicated files but your machine does not support them in C:\Users\minimonk\.cache\huggingface\hub\models--Qwen--Qwen3-TTS-12Hz-1.7B-CustomVoice. Caching files will still work but in a degraded version that might require more space on your disk. This warning can be disabled by setting the `HF_HUB_DISABLE_SYMLINKS_WARNING` environment variable. For more details, see https://huggingface.co/docs/huggingface_hub/how-to-cache#limitations. To support symlinks on Windows, you either need to activate Developer Mode or to run Python as an administrator. In order to activate developer mode, see this article: https://docs.microsoft.com/en-us/windows/apps/get-started/enable-your-device-for-development warnings.warn(message) model.safetensors: 0%| | 0.00/3.83G [00:00<?, ?B/s] model.safetensors: 100%|██████████████████████████████████████████████████████████| 3.83G/3.83G [04:45<00:00, 13.4MB/s] Traceback (most recent call last): File "<stdin>", line 1, in <module> File "C:\Users\minimonk\AppData\Local\Programs\Python\Python310\lib\site-packages\qwen_tts\inference\qwen3_tts_model.py", line 112, in from_pretrained model = AutoModel.from_pretrained(pretrained_model_name_or_path, **kwargs) File "C:\ Users\minimonk\AppData \Local\Programs\Python\Python310\lib\site-packages\transformers\models\auto\auto_factory.py", line 604, in from_pretrained return model_class.from_pretrained( File "C:\ Users\minimonk\AppData \Local\Programs\Python\Python310\lib\site-packages\qwen_tts\core\models\modeling_qwen3_tts.py", line 1876, in from_pretrained model = super().from_pretrained( File "C:\ Users\minimonk\AppData \Local\Programs\Python\Python310\lib\site-packages\transformers\modeling_utils.py", line 277, in _wrapper return func(*args, **kwargs) File "C:\ Users\minimonk\AppData \Local\Programs\Python\Python310\lib\site-packages\transformers\modeling_utils.py", line 4971, in from_pretrained model = cls(config, *model_args, **model_kwargs) File "C:\ Users\minimonk\AppData \Local\Programs\Python\Python310\lib\site-packages\qwen_tts\core\models\modeling_qwen3_tts.py", line 1817, in __init__ super().__init__(config) File "C:\ Users\minimonk\AppData \Local\Programs\Python\Python310\lib\site-packages\transformers\modeling_utils.py", line 2076, in __init__ self.config._attn_implementation_internal = self._check_and_adjust_attn_implementation( File "C:\ Users\minimonk\AppData \Local\Programs\Python\Python310\lib\site-packages\transformers\modeling_utils.py", line 2686, in _check_and_adjust_attn_implementation applicable_attn_implementation = self.get_correct_attn_implementation( File "C:\ Users\minimonk\AppData \Local\Programs\Python\Python310\lib\site-packages\transformers\modeling_utils.py", line 2714, in get_correct_attn_implementation self._flash_attn_2_can_dispatch(is_init_check) File "C:\ Users\minimonk\AppData \Local\Programs\Python\Python310\lib\site-packages\transformers\modeling_utils.py", line 2422, in _flash_attn_2_can_dispatch raise ImportError(f"{preface} the package flash_attn seems to be not installed. {install_message}") ImportError: FlashAttention2 has been toggled on, but it cannot be used due to the following error: the package flash_attn seems to be not installed. Please refer to the documentation of https://huggingface.co/docs/transformers/perf_infer_gpu_one#flashattention-2 to install Flash Attention 2. |
에라이, 역시 리눅스 환경 기준으로 해야하나?
| D:\study\llm>pip install flash_attn Collecting flash_attn Using cached flash_attn-2.8.3.tar.gz (8.4 MB) ERROR: Could not install packages due to an OSError: [Errno 2] No such file or directory: 'C:\\Users\\minimonk\\AppData\\Local\\Temp\\pip-install-gkk0v5su\\flash-attn_bdc9b907b4714d19aa80016a5ecbd8e6\\csrc/composable_kernel/library/src/tensor_operation_instance/gpu/batched_gemm_add_relu_gemm_add/device_batched_gemm_add_relu_gemm_add_xdl_cshuffle_f16_f16_f16_f16_gmk_gnk_gno_gmo_instance.cpp' HINT: This error might have occurred since this system does not have Windows Long Path support enabled. You can find information on how to enable this at https://pip.pypa.io/warnings/enable-long-paths |
화자와 언어가 달라도 될까 궁금하네
[링크 : https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice]
| litert-lm 와 gemma4-e2b mtp 일단 실패 (0) | 2026.05.10 |
|---|---|
| vLLM (0) | 2026.05.10 |
| supertone/supertonic3 시도 (0) | 2026.05.10 |
| outetts 시도 (0) | 2026.05.10 |
| huggingface 에서 다운로드 받기(python) (0) | 2026.05.10 |
알아서 받고 한글도 정말 잘 변환해준다.
잠시 검색해보니 한국 회사인것 같고. hybe 자회사로 게임같은데서 보이스 체인저로 유명한 듯?
라이센스는 좀 읽어 봐야겠지만 대충 번역기 돌려서 보니 SaaS 까지도 허용하는 것 같긴한데..
outetts 처럼 빌드는 필요없이 그냥 pip만으로 설치되니 good!
그리고 auto_download 하면 먼가 열심히 받고 알아서 한다.
| D:\study\llm>pip install supertonic D:\study\llm>python Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> from supertonic import TTS >>> tts = TTS(auto_download=True) Downloading (incomplete total...): 0.00B [00:00, ?B/s] Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. Fetching 26 files: 100%|███████████████████████████████████████████████████████████████| 26/26 [00:36<00:00, 1.40s/it] Download complete: : 404MB [00:36, 19.4MB/s] >>> style = tts.get_voice_style(voice_name="M1") >>> >>> text = "A gentle breeze moved through the open window while everyone listened to the story." >>> wav, duration = tts.synthesize(text, voice_style=style, lang="en") >>> >>> tts.save_audio(wav, "output.wav") >>> print(f"Generated {duration:.2f}s of audio") >>> text = "안녕? 난 잼미니야 만나서 반가워" >>> wav, duration = tts.synthesize(text, voice_style=style, lang="ko") >>> tts.save_audio(wav, "output_ko.wav") |
[링크 : https://huggingface.co/Supertone/supertonic-3]
[링크 : https://www.supertone.ai/ko]
| vLLM (0) | 2026.05.10 |
|---|---|
| Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice 시도 실패 (0) | 2026.05.10 |
| outetts 시도 (0) | 2026.05.10 |
| huggingface 에서 다운로드 받기(python) (0) | 2026.05.10 |
| stable diffusion 사용법 (0) | 2026.05.09 |
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