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

```bash
cd ~/Programy/lektor_ai
./install_backend.sh
```

Roughly 45–90 minutes, almost all of it downloading. Expect ~39 GB: ~22 GB for
the speech backend and ~17 GB for the normalizer's own environment and models.

### 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 TTS download; it happens on first generation anyway. |
| `--skip-normalizer` | ComfyUI only. Digits then reach the TTS as digits, which it misreads. |
| `--lock FILE` | Restore an exact package set from a `pip freeze` lockfile. |
| `--help` | Usage summary. |

### Changing where things go

```bash
CONDA_ROOT=/opt/miniforge3 COMFY_ROOT=/data/comfy ./install_backend.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](#configuring-the-script).

### Exact reproduction

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

```bash
./install_backend.sh --lock comfyui-requirements.lock.txt
```

Regenerate it after intentional changes:

```bash
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](requirements.md#dependency-surface)).
7. **Model** — `bosonai/higgs-audio-v3-tts-4b` into
   `ComfyUI/models/TTS/higgs_audio_v3/`.
8. **Number normalizer** — `normalizer/setup.sh --model`: its own venv with
   `transformers>=5`, the open inflection model, and the gated fine-tune if you
   have credentials. Failure here is reported, not fatal.
9. **Launcher** written to `$COMFY_ROOT/start_comfyui.sh`.
10. **Verification** — imports torch, torchaudio, transformers, safetensors,
    soundfile, librosa, reports CUDA availability, and prints whether the
    normalizer came up neural or on the fallback.

## Manual install

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

```bash
# 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:

```python
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

```bash
~/comfy-tts-app/start_comfyui.sh
```

which is just:

```bash
#!/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](usage.md#settings-file). The backend address in particular:

```ini
[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:

```python
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:

```bash
ffmpeg -version && ffprobe -version
```

If missing, and you would rather not use sudo:

```bash
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.

## Number normalizer

`install_backend.sh` installs this too — its own venv, the 8 GB inflection
model, and the 1.1 GB fine-tune. Nothing further is needed unless the script
says otherwise.

It gets its own venv on purpose: it needs `transformers >= 5`, which must not be
forced on the ComfyUI environment installed above. They talk over a pipe.

**The one thing the installer cannot do for you** is accept a licence. The
fine-tune is gated, so if you have no Hugging Face credentials the script
installs everything else, reports `fallback only (gated model missing)`, and
prints these three steps:

```bash
# 1. accept the terms while signed in:
#    https://huggingface.co/Folx/qwen3-0.6b-pl-text-normalization
normalizer/venv/bin/hf auth login
normalizer/setup.sh --model
```

`HF_TOKEN=hf_...` in the environment works instead of `hf auth login`, and the
installer picks up either automatically if you set it up beforehand.

Until then the pipeline runs with `num2words` for times, dates and identifiers,
and says so on every run. Turn the stage off entirely with `numbers = no` under
`[normalize]` in `settings.ini`. See [normalizer/README.md](../normalizer/README.md).

## Verifying

```bash
# 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. Number normalizer, if installed
normalizer/venv/bin/python normalizer/normalizer.py --status
# -> "mode": "model"   ("fallback" means the weights are missing)

# 5. 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:

```bash
conda env remove -n comfy-tts
rm -rf ~/comfy-tts-app
rm -rf ~/Programy/lektor_ai/normalizer/venv    # number normalizer env
rm -rf ~/Programy/lektor_ai/normalizer/model   # and its weights
rm -rf ~/miniforge3        # only if nothing else uses it
```