怎么完整的卸载掉，我想安装最新的版本，但是他现在下载什么都下载好慢，开VPN不开VPN都卡在下载模型了

[liufumingbaba]

[dlsandy]

无需卸载，你改用手动修复即可。手动修复可以直接导出所有的下载链接，下载完成后拖入就会自动安装，会比自动修复更方便一些。

[liufumingbaba]

显存好像还没读取到，需要什么日志文件

[dlsandy]

引擎日志就可以了

…

---- 回复的原邮件 ---- | 发件人 | ***@***.***> | | 发送日期 | 2026年09月20日 20:00 | | 收件人 | dlsandy/Transub ***@***.***> | | 抄送人 | flyforyou ***@***.***>, Comment ***@***.***> | | 主题 | Re: [dlsandy/Transub] 怎么完整的卸载掉，我想安装最新的版本，但是他现在下载什么都下载好慢，开VPN不开VPN都卡在下载模型了 (Issue #63) | liufumingbaba left a comment (dlsandy/Transub#63) Image: Image (view on web) 显存好像还没读取到，需要什么日志文件 — Reply to this email directly, view it on GitHub, or unsubscribe. Triage notifications, keep track of coding agent tasks and review pull requests on the go with GitHub Mobile for iOS and Android. Download it today! You are receiving this because you commented.Message ID: ***@***.***>

[liufumingbaba]

===== Transub Engine log 2026-09-20T12:03:44.652Z =====
[engine] 启动 D:\Transub-3.2.1-win\transub-engine\runtime\python.exe -m transub_engine serve --host 127.0.0.1 --port 8765
[transub-engine] ffmpeg: D:\Transub-3.2.1-win_internal\bin\ffmpeg.exe
[transub-engine] torch: preloaded 2.12.0+rocm10.0.0 cuda=None
[transub-engine] gpu: status=ready name=AMD Radeon RX 9070 GRE cublas12=False ct2Cuda=False ortGpuCuda=False pathInjected=2 rocm=gfx1201 torchRocm=True
INFO: Started server process [29380]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:8765 (Press CTRL+C to quit)
INFO transub_engine.runtime_release: release_gpu_memory reason=api freed=['whisper_cache:0', 'whisperseg_cache:0', 'sensevoice_cache:0', 'reazon_k2_cache:0', 'qwen3_asr_cache:0', 'parakeet_cache:0', 'cohere_asr_cache:0', 'wav2vec_align_cache:0', 'gc', 'torch.cuda.empty_cache'] errors=[]
INFO: 127.0.0.1:10537 - "POST /v1/runtime/release-gpu HTTP/1.1" 200 OK
[engine] 批次结束 · 已释放引擎显存
INFO: 127.0.0.1:10538 - "POST /v1/compute/release HTTP/1.1" 200 OK

[liufumingbaba]

Demucs 这个在哪里下载

[dlsandy]

Demucs 这个在哪里下载

模型管理里面可以下载

[liufumingbaba]

[engine] 启动 D:\Transub-3.2.1-win\transub-engine\runtime\python.exe -m transub_engine serve --host 127.0.0.1 --port 8765
[transub-engine] ffmpeg: D:\Transub-3.2.1-win_internal\bin\ffmpeg.exe
[engine] 进程退出 code=1 signal=
[engine] 启动 D:\Transub-3.2.1-win\transub-engine\runtime\python.exe -m transub_engine serve --host 127.0.0.1 --port 8765
[transub-engine] ffmpeg: D:\Transub-3.2.1-win_internal\bin\ffmpeg.exe
WARNING transub_engine.pip_mirror_util: install_local_wheel_files: numpy dist-info missing RECORD; using --ignore-installed
INFO transub_engine.pip_mirror_util: install_local_wheel_files: D:\Transub-3.2.1-win\transub-engine\runtime\python.exe -u -m pip install --ignore-installed --no-deps --no-index --no-cache-dir --disable-pip-version-check C:\Users\yjh\AppData\Local\TransubEngine\wheel-cache\numpy-2.4.6-cp312-cp312-win_amd64.whl
[transub-engine] numpy: aligned for numba (ok)
[transub-engine] torch: preloaded 2.12.0+rocm10.0.0 cuda=None
[transub-engine] gpu: status=ready name=AMD Radeon RX 9070 GRE cublas12=False ct2Cuda=False ortGpuCuda=False pathInjected=2 rocm=gfx1201 torchRocm=True
INFO: Started server process [11020]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://127.0.0.1:8765 (Press CTRL+C to quit)
INFO: 127.0.0.1:4942 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4943 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4944 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4940 - "GET /v1/runtime/gpu HTTP/1.1" 200 OK
INFO: 127.0.0.1:4941 - "POST /v1/models/download HTTP/1.1" 200 OK
INFO: 127.0.0.1:4961 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4962 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4960 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4961 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4973 - "GET /v1/models HTTP/1.1" 200 OK
INFO: 127.0.0.1:4971 - "GET /v1/models HTTP/1.1" 200 OK
INFO: 127.0.0.1:4971 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4973 - "GET /v1/runtime/gpu HTTP/1.1" 200 OK
INFO: 127.0.0.1:4973 - "POST /v1/models/recommend HTTP/1.1" 200 OK
INFO: 127.0.0.1:4971 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4981 - "GET /v1/models HTTP/1.1" 200 OK
INFO: 127.0.0.1:4979 - "GET /v1/models HTTP/1.1" 200 OK
INFO: 127.0.0.1:4979 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4981 - "GET /v1/runtime/gpu HTTP/1.1" 200 OK
INFO: 127.0.0.1:4981 - "POST /v1/models/recommend HTTP/1.1" 200 OK
INFO: 127.0.0.1:4979 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4985 - "GET /v1/models HTTP/1.1" 200 OK
INFO: 127.0.0.1:4983 - "GET /v1/models HTTP/1.1" 200 OK
INFO: 127.0.0.1:4983 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4985 - "GET /v1/runtime/gpu HTTP/1.1" 200 OK
INFO: 127.0.0.1:4985 - "POST /v1/models/recommend HTTP/1.1" 200 OK
INFO: 127.0.0.1:4983 - "GET /v1/runtime/audio-separate HTTP/1.1" 200 OK
INFO: 127.0.0.1:4984 - "GET /v1/runtime/gpu HTTP/1.1" 200 OK
INFO: 127.0.0.1:4984 - "POST /v1/compute/acquire HTTP/1.1" 200 OK
INFO: 127.0.0.1:4984 - "POST /v1/models/recommend HTTP/1.1" 200 OK
[engine] 开始批次 · 1 个文件 · ASR=anime-whisper · 档位=balanced
[engine] 免费推理翻译 · 引擎内 llama（跳过外部适配器）
[engine] #1/1 启动 KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 · 准备引擎任务…
[engine] #1/1 翻译后端 · 推理翻译：sakura-galtransl-7b-q6k）
[engine] #1/1 加载识别模型 KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 · 创建引擎任务（anime-whisper）…
[engine] #1/1 加载识别模型 KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 · 准备原文…
[engine] #1/1 加载识别模型 KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 · 加载识别模型（anime-whisper）…
INFO: 127.0.0.1:4984 - "POST /v1/jobs HTTP/1.1" 200 OK
[engine] #1/1 启动 KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 · 任务已启动
[engine] #1/1 处理中 KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 · 准备音频…
INFO transub_engine.asr.whisper_fw: anime-whisper timing: island VAD short frames (align=firered)
INFO transub_engine.asr.whisper_fw: anime-whisper FireRed path start: KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 | model=anime-whisper | duration=8983.1s | VAD owns timeline (knobs from job vad options)
INFO transub_engine.vad.firered_vad_seg: FireRedVAD collect start: KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 | threshold=0.45 | max_speech=5.0s | min_speech=0.18s | min_sil=0.50s | pad=0.08s | extend=0.04s | gap=0.50s | gpu=True
INFO transub_engine.vad.ten_vad_seg: TEN VAD decode: ffmpeg | KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 | max 8983s
INFO transub_engine.vad.ten_vad_seg: TEN VAD decode ok: ffmpeg | KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 | 8983.1s @ 16000 Hz
INFO fireredvad.utils.param: #param of DetectModel <class 'fireredvad.core.detect_model.DetectModel'> is 588417 = 2.2 MB (float32)
WARNING fireredvad.vad: Too long input, split every 30000 frames
WARNING fireredvad.core.vad_postprocessor: Unexpected short speech segment, check vad_postprocessor.py
[engine] （上条重复 7 次）
INFO transub_engine.vad.firered_vad_seg: FireRedVAD collect done: KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 | audio=8983.1s | raw=2553 | merged=963 | spoken=7124.3s (79%) | first=3.4-7.3s | last=8972.1-8974.1s
INFO transub_engine.asr.whisper_fw: anime-whisper TEN frames: KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 | islands=963 -> frames=1945 | spoken=7134.4s | max_frame=5.00s | first=3.4-7.3s | last=8972.1-8974.1s
OMP: Error #15: Initializing libiomp5md.dll, but found libomp140.x86_64.dll already initialized.
OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://www.intel.com/software/products/support/.
[engine] 进程退出 code=3 signal=

[liufumingbaba]

[22:53:29] Qwen3-ASR 运行库 · 正在安装 ROCm PyTorch（gfx1201，AMD Radeon RX 9070 GRE）…
[22:54:56] 已取消下载
[22:54:56] 已取消
[22:56:11] 正在下载 qwen3-asr-0.6b… [qwen3-asr-0.6b] · 1.6 KB / 1.46 GB
[22:56:52] 下载 qwen3-asr-0.6b 失败: Force download failed due to the above error. [qwen3-asr-0.6b]
[22:56:52] 下载 qwen3-asr-0.6b 失败: Force download failed due to the above error.
[22:56:52] 下载 qwen3-asr-0.6b 失败: Force download failed due to the above error.
[22:59:10] 已添加 1 个文件
[22:59:12] 正在执行「KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4」…
[22:59:13] 开始生成字幕 1 个文件…
[22:59:13] 引擎后端：Transub Engine · ASR=anime-whisper · 档位=balanced
[22:59:13] 正在提交引擎任务（首次加载模型可能需数分钟）…
[22:59:13] [任务] 开始：引擎字幕任务
[22:59:14] 开始任务（翻译），共 1 个文件
[22:59:15] #1/1 开始处理：KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 · 准备引擎任务…
[22:59:16] #1/1 加载识别模型：KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 · 加载识别模型（anime-whisper）…
[22:59:16] #1/1 开始处理：KTB-030 うちの課長は性処理係！女課長とうかIカップ ～こちら人事部 福利性交課 性処理係～ 凛音とうか.mp4 · 任务已启动

[liufumingbaba]

好像卡住了

[liufumingbaba]

作者明天想要调试的话，可以找我要远程

[dlsandy]

你可以试下在模型管理里面下载安装模型