Files
lektor-ai/docs/installation.md
T
claudeandClaude Opus 5 3dde6e58e4 Settings file, per-job clip folders, faster polling, voices/ rename
Poll interval
  wait_for_completion() polled every 3 s, which quantised every clip to a 3 s
  boundary — across 2075 existing clips, 91% of the gaps landed exactly on a
  multiple of 3 s. It now starts at 0.25 s and backs off to 2 s after 10 s, so
  short clips are picked up immediately without hammering the server on long
  ones. Measured over 34 clips: 4.75 s actual vs 6.35 s under the old poll,
  a 25% cut in TTS wait (~18 min on a 693-clip episode). Runs now print real
  generation time, e.g. "done (4.2s)".

  A WebSocket would remove polling entirely but needs a third-party client,
  which would cost this script its dependency-free property.

settings.ini
  voice, speed, temperature, max_tokens, strip_leading_ms, trailing_fade_ms,
  orig_volume, tts_volume, output_dir and comfy_url moved to an INI file next
  to the script. Precedence is CLI flag > settings.ini > built-in default,
  wired by feeding loaded values in as argparse defaults. --settings FILE
  selects an alternative profile.

  INI rather than TOML (tomllib is 3.11+, this runs on system Python 3.10) or
  JSON (no comments). A missing, partial, malformed or corrupt file degrades to
  built-in defaults with a warning instead of killing a long run.

  Run-specific flags are deliberately excluded: --start, --end, --seed,
  --regen, --rebuild, --resume-from, --embedded-subs, --skip-tts.

Per-job folders
  All state for one video now lives in <output_dir>/clips/<video name>/ —
  clips, tts_input.srt, tts_assembled.flac, embedded_sub.srt and
  video_fragment.mkv. Only <stem>_lektor.mkv stays at the top level.

  tts_input.srt moved with the clips because they are a matched pair: block N
  in the SRT is clip_NNNN.flac. Previously both sat at the top level and each
  new job overwrote the last one's, so rebuilding an older film silently
  paired its clips with the newest film's text. Any past job can now be
  rebuilt. A run against the old flat layout gets an explanatory message.

gudowski/ -> voices/
  VOICE_PROMPTS_DIR is now resolved relative to the script rather than
  hardcoded, so moving the project no longer breaks it. Voice filenames are
  unchanged, so --voice gudowski_short still works.

Docs updated throughout for the new layout, settings file and poll behaviour.

Known issue, not addressed here: with a non-zero --start the voiceover plays
early. extract_video_fragment() stream-copies, so it can only cut on a
keyframe and seeks backwards to it, while TTS timestamps are relative to the
requested start. On S01_E08 at --start 07:40 the nearest earlier keyframe is
458.375 s, putting the voiceover 1.625 s ahead of the picture. Runs with
--start 00:00 are unaffected, since 0 is always a keyframe.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-09 21:56:42 +02:00

6.8 KiB
Raw Blame History

Installation

Two things need to exist: the ComfyUI backend (large, isolated, GPU-bound) and the script (which needs nothing installed at all).

Automated install

install_comfyui.sh in the project root reproduces the exact working environment. It is idempotent — safe to re-run, and it skips any step already satisfied.

cd ~/Programy/lektor_ai
./install_comfyui.sh

Roughly 30–60 minutes, mostly downloading. Expect ~22 GB.

Options

Flag Effect
(none) Pinned versions — ComfyUI 7cb784e0, suite v5.3.0. Recommended.
--latest Newest ComfyUI and suite instead. You are on your own for breakage.
--skip-model Skip the 8.7 GB download; it happens on first generation anyway.
--lock FILE Restore an exact package set from a pip freeze lockfile.
--help Usage summary.

Changing where things go

CONDA_ROOT=/opt/miniforge3 COMFY_ROOT=/data/comfy ./install_comfyui.sh
Variable Default
CONDA_ROOT ~/miniforge3
COMFY_ROOT ~/comfy-tts-app
ENV_NAME comfy-tts
COMFY_PORT 8189
PYTHON_VERSION 3.12

If you change COMFY_ROOT or COMFY_PORT, update the script constants too — see Configuring the script.

Exact reproduction

comfyui-requirements.lock.txt pins all 232 packages. To rebuild a byte-identical environment:

./install_comfyui.sh --lock comfyui-requirements.lock.txt

Regenerate it after intentional changes:

source ~/miniforge3/etc/profile.d/conda.sh && conda activate comfy-tts
pip freeze > comfyui-requirements.lock.txt

What the installer does

Useful to know when something fails midway, since each step can be repeated on its own.

  1. Preflight — checks Linux, git, a downloader, GPU, disk space, ffmpeg. Only missing git or a downloader is fatal; the rest warn.
  2. Miniforge → ~/miniforge3, batch mode. conda init is deliberately not run, so your .bashrc is never touched.
  3. Conda env comfy-tts with Python 3.12, then a guard that refuses to continue if the wrong Python somehow ended up active.
  4. PyTorch from the cu128 index, pinned to 2.11.0.
  5. ComfyUI cloned and checked out at the pinned commit (detached HEAD — this is expected, not an error), then its requirements.txt installed.
  6. TTS-Audio-Suite cloned, checked out at v5.3.0, then python install.py — its own resolver, which must not be replaced with a plain pip install (see requirements.md).
  7. Model — bosonai/higgs-audio-v3-tts-4b into ComfyUI/models/TTS/higgs_audio_v3/.
  8. Launcher written to $COMFY_ROOT/start_comfyui.sh.
  9. Verification — imports torch, torchaudio, transformers, safetensors, soundfile, librosa and reports CUDA availability.

Manual install

The equivalent by hand, if you would rather not use the script:

# Miniforge, self-contained, no shell integration
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh
bash Miniforge3-Linux-x86_64.sh -b -p ~/miniforge3
source ~/miniforge3/etc/profile.d/conda.sh

conda create -n comfy-tts python=3.12 -y
conda activate comfy-tts

# PyTorch with the CUDA 12.8 runtime bundled
pip install torch==2.11.0 torchvision==0.26.0 torchaudio==2.11.0 \
    --index-url https://download.pytorch.org/whl/cu128

# ComfyUI, pinned
mkdir -p ~/comfy-tts-app && cd ~/comfy-tts-app
git clone https://github.com/comfyanonymous/ComfyUI.git
cd ComfyUI && git checkout 7cb784e0f48784bb6ed588912e186e5ee1e9ee68
pip install -r requirements.txt

# The TTS node, pinned — note install.py, NOT requirements.txt
cd custom_nodes
git clone https://github.com/diodiogod/TTS-Audio-Suite.git
cd TTS-Audio-Suite && git checkout tags/v5.3.0
python install.py

The model downloads itself on first generation. To fetch it ahead of time:

from huggingface_hub import snapshot_download
snapshot_download(
    repo_id="bosonai/higgs-audio-v3-tts-4b",
    local_dir="~/comfy-tts-app/ComfyUI/models/TTS/higgs_audio_v3/higgs-audio-v3-tts-4b",
)

Running the backend

~/comfy-tts-app/start_comfyui.sh

which is just:

#!/bin/bash
source ~/miniforge3/etc/profile.d/conda.sh
conda activate comfy-tts
cd ~/comfy-tts-app/ComfyUI && python main.py --port 8189

Leave it running in its own terminal for the whole session — model load takes tens of seconds and would otherwise be repeated. The web UI at http://127.0.0.1:8189 is useful for watching progress and reading errors, but is not needed; the script drives everything over HTTP.

Configuring the script

Most settings live in settings.ini next to the script — see usage.md. The backend address in particular:

[comfy]
comfy_url = http://127.0.0.1:8189

Two paths remain constants in lektor_ai_comfy.py, because the script touches ComfyUI's own directories directly rather than over HTTP:

COMFY_OUTPUT_DIR  = Path("/home/lukas/comfy-tts-app/ComfyUI/output")
COMFY_INPUT_DIR   = Path("/home/lukas/comfy-tts-app/ComfyUI/input")

Generated audio is read straight out of the output directory and voice references are copied into the input directory, so both must be real paths reachable from wherever the script runs. If you installed ComfyUI anywhere other than ~/comfy-tts-app, edit these two lines. They are also what would have to change first to drive a ComfyUI instance on another machine.

A third path, VOICE_PROMPTS_DIR, resolves to voices/ beside the script and needs no editing as long as the project stays intact.

The script itself needs no installation. Ensure ffmpeg is present:

ffmpeg -version && ffprobe -version

If missing, and you would rather not use sudo:

conda install -n comfy-tts -c conda-forge ffmpeg

Note that this puts ffmpeg inside the conda env, so the script must then be run with that env active.

Verifying

# 1. Backend responds
curl -s http://127.0.0.1:8189/system_stats | head -c 200

# 2. GPU visible to PyTorch
source ~/miniforge3/etc/profile.d/conda.sh && conda activate comfy-tts
python -c "import torch; print(torch.__version__, torch.cuda.is_available())"
# -> 2.11.0+cu128 True

# 3. Model present
ls -la ~/comfy-tts-app/ComfyUI/models/TTS/higgs_audio_v3/higgs-audio-v3-tts-4b/model.safetensors

# 4. End-to-end on 60 seconds of a real file
cd ~/Programy/lektor_ai
python3 lektor_ai_comfy.py "input/film.mkv" --embedded-subs --end 01:00

The short run is the real test — it exercises subtitle parsing, TTS, assembly and muxing, and finishes in a couple of minutes.

Uninstalling

Nothing was installed system-wide, so removal is just deleting directories:

conda env remove -n comfy-tts
rm -rf ~/comfy-tts-app
rm -rf ~/miniforge3        # only if nothing else uses it