Install the whole backend from one script; queue log; UI fixes
install_comfyui.sh becomes install_backend.sh and now builds everything the app needs, not just the speech half: - Step 7 runs normalizer/setup.sh --model, which fetches both models: the open inflection model first, so the install gets as far as it can before anything can ask for credentials, then the gated fine-tune. - A missing Hugging Face account is no longer fatal. Accepting a licence is the one thing an installer cannot do, so the rest installs, the verification reports "fallback only (gated model missing)", and the summary prints the three commands that finish it. - --skip-normalizer, disk requirement 35 -> 55 GB, removal instructions and the step list updated to match. Queue logging — queue.log in the first queued video's job folder, which for a single-video run is its own: - Records what went wrong rather than what happened: warnings, tracebacks, ffmpeg errors, guard rejections, clips cut off mid-word or that crashed the backend, and the --regen line carrying their numbers. - ComfyUI failures *and* restarts, so the log shows the recovery rather than reading as though the run simply stopped. GUI-initiated backend actions go in too; they never pass through a job's pipe. - A failure also dumps the job's last 15 lines. Keyword matching alone is not enough — ffmpeg says "Invalid data found when processing input" and nothing that looks like an error. UI: - The output pane follows new output only while already at the bottom. Scroll up and it stays there; scroll back down and it resumes. Reading an earlier warning during a run was impossible while every ffmpeg progress frame yanked the view to the end. - The ComfyUI button's status dot is drawn as its own canvas item, so it can be green (answering) or amber (holds the port, does not answer). A "." inside the label could only ever be the same grey as the words. comfyui.log is capped at 120,000 lines, trimmed on backend start and every five minutes. Rewritten in place, never replaced: tee holds it open in append mode, so swapping the inode would leave the backend writing to an unlinked file. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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@@ -5,16 +5,17 @@ and the **script** (which needs nothing installed at all).
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## Automated install
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`install_comfyui.sh` in the project root reproduces the exact working
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`install_backend.sh` in the project root reproduces the exact working
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environment. It is idempotent — safe to re-run, and it skips any step already
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satisfied.
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```bash
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cd ~/Programy/lektor_ai
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./install_comfyui.sh
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./install_backend.sh
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```
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Roughly 30–60 minutes, mostly downloading. Expect ~22 GB.
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Roughly 45–90 minutes, almost all of it downloading. Expect ~39 GB: ~22 GB for
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the speech backend and ~17 GB for the normalizer's own environment and models.
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### Options
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@@ -22,14 +23,15 @@ Roughly 30–60 minutes, mostly downloading. Expect ~22 GB.
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|---|---|
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| *(none)* | Pinned versions — ComfyUI `7cb784e0`, suite `v5.3.0`. Recommended. |
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| `--latest` | Newest ComfyUI and suite instead. You are on your own for breakage. |
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| `--skip-model` | Skip the 8.7 GB download; it happens on first generation anyway. |
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| `--skip-model` | Skip the 8.7 GB TTS download; it happens on first generation anyway. |
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| `--skip-normalizer` | ComfyUI only. Digits then reach the TTS as digits, which it misreads. |
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| `--lock FILE` | Restore an exact package set from a `pip freeze` lockfile. |
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| `--help` | Usage summary. |
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### Changing where things go
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```bash
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CONDA_ROOT=/opt/miniforge3 COMFY_ROOT=/data/comfy ./install_comfyui.sh
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CONDA_ROOT=/opt/miniforge3 COMFY_ROOT=/data/comfy ./install_backend.sh
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```
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| Variable | Default |
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@@ -49,7 +51,7 @@ see [Configuring the script](#configuring-the-script).
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byte-identical environment:
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```bash
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./install_comfyui.sh --lock comfyui-requirements.lock.txt
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./install_backend.sh --lock comfyui-requirements.lock.txt
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```
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Regenerate it after intentional changes:
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@@ -78,9 +80,13 @@ its own.
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pip install (see [requirements.md](requirements.md#dependency-surface)).
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7. **Model** — `bosonai/higgs-audio-v3-tts-4b` into
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`ComfyUI/models/TTS/higgs_audio_v3/`.
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8. **Launcher** written to `$COMFY_ROOT/start_comfyui.sh`.
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9. **Verification** — imports torch, torchaudio, transformers, safetensors,
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soundfile, librosa and reports CUDA availability.
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8. **Number normalizer** — `normalizer/setup.sh --model`: its own venv with
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`transformers>=5`, the open inflection model, and the gated fine-tune if you
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have credentials. Failure here is reported, not fatal.
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9. **Launcher** written to `$COMFY_ROOT/start_comfyui.sh`.
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10. **Verification** — imports torch, torchaudio, transformers, safetensors,
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soundfile, librosa, reports CUDA availability, and prints whether the
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normalizer came up neural or on the fallback.
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## Manual install
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@@ -184,25 +190,32 @@ conda install -n comfy-tts -c conda-forge ffmpeg
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Note that this puts ffmpeg inside the conda env, so the script must then be run
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with that env active.
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## Number normalizer (optional, recommended)
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## Number normalizer
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Digits reach the TTS as words rather than figures, in the correct Polish case.
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It has its own venv on purpose — the model needs `transformers >= 5`, which must
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not be forced on the ComfyUI environment installed above.
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`install_backend.sh` installs this too — its own venv, the 8 GB inflection
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model, and the 1.1 GB fine-tune. Nothing further is needed unless the script
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says otherwise.
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It gets its own venv on purpose: it needs `transformers >= 5`, which must not be
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forced on the ComfyUI environment installed above. They talk over a pipe.
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**The one thing the installer cannot do for you** is accept a licence. The
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fine-tune is gated, so if you have no Hugging Face credentials the script
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installs everything else, reports `fallback only (gated model missing)`, and
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prints these three steps:
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```bash
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cd ~/Programy/lektor_ai
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normalizer/setup.sh # venv + torch (cu128) + transformers
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HF_TOKEN=hf_... normalizer/setup.sh --model # the weights, ~1.1 GB
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# 1. accept the terms while signed in:
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# https://huggingface.co/Folx/qwen3-0.6b-pl-text-normalization
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normalizer/venv/bin/hf auth login
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normalizer/setup.sh --model
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```
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The weights are gated: accept the terms at
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<https://huggingface.co/Folx/qwen3-0.6b-pl-text-normalization> while signed in,
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then take a token from <https://huggingface.co/settings/tokens>. This is the only
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step that touches the network; runs are offline afterwards.
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`HF_TOKEN=hf_...` in the environment works instead of `hf auth login`, and the
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installer picks up either automatically if you set it up beforehand.
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Skipping this is fine — the pipeline falls back to `num2words` (nominative case
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only) and says so. Turn the whole stage off with `numbers = no` under
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Until then the pipeline runs with `num2words` for times, dates and identifiers,
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and says so on every run. Turn the stage off entirely with `numbers = no` under
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`[normalize]` in `settings.ini`. See [normalizer/README.md](../normalizer/README.md).
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## Verifying
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