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| author | historia <historiavg@proton.me> | 2026-08-26 22:27:51 -0400 |
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| committer | historia <historiavg@proton.me> | 2026-08-26 22:27:51 -0400 |
| commit | f18f421d9180ae0e3bff9496b1fdaf53d3624a75 (patch) | |
| tree | 6f89ccbda3844bb74ebe239dbf15ed3441b13204 /app/docs | |
| parent | 477ac3e827e3bdc9f14583fc3aa8db1fa2d27c52 (diff) | |
| download | tts-audiobook-generator-f18f421d9180ae0e3bff9496b1fdaf53d3624a75.tar.gz | |
feat: manage qwen-tts model installs manually, delete model(s) when uninstalled
Diffstat (limited to 'app/docs')
| -rw-r--r-- | app/docs/backend-qwen.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/app/docs/backend-qwen.md b/app/docs/backend-qwen.md index 5cfb0b3..3fd55ca 100644 --- a/app/docs/backend-qwen.md +++ b/app/docs/backend-qwen.md @@ -4,7 +4,7 @@ The easiest way is to run `python audiobook.py` → **Configure backends… → If you prefer to install the backend yourself (in your own environment, not the managed venv), the manual steps are below. Either way the hub detects a running server by its port (its `GET /info` names which of the three demos answers), so a manually-installed backend works once its server is up. To use a demo server on another machine, set `QWEN_REMOTE_URL` in `app/converter/config.py` to its `host:port` (default `127.0.0.1:7860`) — the hub probes it and offers the matching `qwen-tts [remote]` mode limited to the model that server hosts — or pass `--api-url` on the CLI. -Model weights download automatically from HuggingFace into the standard cache (`~/.cache/huggingface/hub`) the first time a server for each model starts — there is nothing else to install per model. +Model weights download automatically from HuggingFace into the standard cache (`~/.cache/huggingface/hub`) the first time a server for each model starts — there is nothing else to install per model. To pre-fetch or remove a single model's weights without starting its server, open **Configure backends… → Configure qwen-tts**: each of Base / CustomVoice / VoiceDesign gets an Install (a streamed, resumable download — canceling one just means it resumes later) or Uninstall action, with a server hosting that model stopped first. Uninstalling the whole backend deletes all three of those directories along with the pip package; only they are ever touched — anything else in your HuggingFace cache is left alone. Install qwen-tts with pip into your environment: |