Metadata-Version: 2.4
Name: pixlstash
Version: 1.0.2
Summary: Self-hosted picture library with AI tagging, semantic search, and a clean web UI
Author: Gaute Lindkvist
License-Expression: GPL-3.0-only AND MIT
Project-URL: Homepage, https://pikselkroken.github.io/pixlstash
Project-URL: Repository, https://github.com/pikselkroken/pixlstash
Project-URL: Bug Tracker, https://github.com/pikselkroken/pixlstash/issues
Project-URL: Changelog, https://github.com/pikselkroken/pixlstash/releases
Keywords: image library,AI tagging,semantic search,photo management,self-hosted,comfyui
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: End Users/Desktop
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Multimedia :: Graphics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: pixlstash/LICENSE
License-File: frontend/LICENSE
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Requires-Dist: fastapi>=0.135.1
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Dynamic: license-file

# PixlStash
<p align="center">
  <img src="website/assets/ScreenshotGrid.jpg" alt="PixlStash Screenshot" width="800"/>
</p>

PixlStash is a local picture library server for organizing, filtering, and reviewing large image collections.

It provides:

- A browser-based interface
- Automatic tagging of images
- Fast metadata and tag filtering
- Smart score sorting
- Character and set organization
- Local storage of your library data
- API for integrating with other tools
- Simple keyboard shortcuts for scoring, selection, tagging, deletion and navigation.
- Integration with ComfyUI for running workflows on selected images within PixlStash.
- Plugin system for defining new filter operations that can be performed on a set of images.

PixlStash runs on your machine and serves the UI at a local web address.

## Install PixlStash

<p align="center">
  <a href="https://pixlstash.dev/install.html">
    <img src="website/assets/install-banner.svg" alt="Install PixlStash" width="320"/>
  </a>
</p>

Detailed installation instructions on <a href="http://pixlstash.dev/install.html">pixlstash.dev</a>.


## First run and data location

On first run, PixlStash creates a user config directory and stores:

- Server config
- Database
- Imported media files

> **Model downloads:** On first startup, PixlStash automatically downloads the AI models required for tagging, captioning, and quality scoring. This includes several hundred MB of model weights. Downloads are stored in the platform user data directory:
>
> | OS | Path |
> |----|------|
> | **Linux** | `~/.local/share/pixlstash/downloaded_models/` |
> | **macOS** | `~/Library/Application Support/pixlstash/downloaded_models/` |
> | **Windows** | `%LOCALAPPDATA%\pixlstash\downloaded_models\` |
>
> An internet connection is required the first time the server starts. Subsequent starts use the cached models.

If you need to use a custom config path:

```bash
python -m pixlstash.app --server-config "C:\path\to\server-config.json"
```

## Server configuration

On first run, PixlStash generates a `server-config.json` file in the user config directory:

- **Linux / macOS:** `~/.config/pixlstash/server-config.json`
- **Windows:** `%LOCALAPPDATA%\pixlstash\server-config.json`

You can also supply a custom path with `--server-config <path>`.

On first run in an interactive terminal, PixlStash now launches a short setup wizard for:

- `image_root` (storage path)
- `port`
- `require_ssl` (HTTP/HTTPS)
- `watch_folders`

Before the server starts, bootstrap also offers to set (or replace) the
initial username/password.

You can rerun the wizard at any time with:

```bash
python -m pixlstash.app --bootstrap
```

When rerunning the wizard, pressing Enter keeps existing values as defaults.
For watch folders:

- Press `A` to add one or more folders (and set `delete_after_import` for each).
- Press `E` to edit `delete_after_import` on existing folders.
- Press Enter to keep the existing list unchanged.

Edit the file and restart the server to apply changes.

### Network and port

| Key            | Default       | Description                                                                                                                                               |
| -------------- | ------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `host`         | `"localhost"` | Address the server binds to. Change to `"0.0.0.0"` to expose the server on the local network.                                                             |
| `port`         | `9537`        | TCP port the server listens on.                                                                                                                           |
| `cors_origins` | `[]`          | Extra origins allowed to make credentialed cross-origin requests. `localhost`, `127.0.0.1`, and the server's own LAN IP are always permitted on any port. |

At startup the server detects its own LAN IP and automatically allows it on any port. This means the Vite dev server works over LAN (`http://192.168.1.5:5173` → `http://192.168.1.5:9537`) without any extra configuration, as long as network access is enabled via `host`.

Use `cors_origins` only if you need to allow origins on a different machine entirely.

### SSL / HTTPS

| Key               | Default                     | Description                                                                   |
| ----------------- | --------------------------- | ----------------------------------------------------------------------------- |
| `require_ssl`     | `false`                     | Enable HTTPS. When `true`, the server will use the key and certificate below. |
| `ssl_keyfile`     | `<config_dir>/ssl/key.pem`  | Path to the SSL private key file.                                             |
| `ssl_certfile`    | `<config_dir>/ssl/cert.pem` | Path to the SSL certificate file.                                             |
| `cookie_samesite` | `"Lax"`                     | `SameSite` attribute for session cookies (`"Lax"`, `"Strict"`, or `"None"`).  |
| `cookie_secure`   | `false`                     | Set the `Secure` flag on session cookies. Enable when serving over HTTPS.     |

### Storage

| Key             | Default               | Description                                                                                                                  |
| --------------- | --------------------- | ---------------------------------------------------------------------------------------------------------------------------- |
| `image_root`    | `<config_dir>/images` | Directory where imported media files are stored.                                                                             |
| `watch_folders` | `[]`                  | List of folder entries to watch for new images and automatically import them. Each entry is an object with the fields below. |

Each entry in `watch_folders` has the following fields:

| Field                 | Type    | Default | Description                                                                            |
| --------------------- | ------- | ------- | -------------------------------------------------------------------------------------- |
| `folder`              | string  | —       | Absolute path to the directory to monitor (recursively).                               |
| `delete_after_import` | boolean | `false` | When `true`, source files are deleted from the watch folder after a successful import. |

Example:

```json
"watch_folders": [
  { "folder": "/home/user/downloads/photos", "delete_after_import": false },
  { "folder": "/mnt/camera", "delete_after_import": true }
]
```

### Processing

| Key                              | Default | Description                                          |
| -------------------------------- | ------- | ---------------------------------------------------- |
| `default_device`                 | `"cpu"` | Device used for AI processing (`"cpu"` or `"cuda"`). |
| `generate_thumbnails_on_startup` | `true`  | Generate missing thumbnails when the server starts.  |

To remove stale database records for missing source files at startup, run:

```bash
python -m pixlstash.app --cleanup-missing-pictures
```

### Logging

| Key         | Default                   | Description                                                  |
| ----------- | ------------------------- | ------------------------------------------------------------ |
| `log_level` | `"info"`                  | Log verbosity (`"debug"`, `"info"`, `"warning"`, `"error"`). |
| `log_file`  | `<config_dir>/server.log` | Path to the log file.                                        |

### Example config

```json
{
  "host": "localhost",
  "port": 9537,
  "log_level": "info",
  "require_ssl": false,
  "image_root": "/home/user/.config/pixlstash/images",
  "watch_folders": [
    { "folder": "/path/to/photos", "delete_after_import": false }
  ],
  "default_device": "cpu",
  "generate_thumbnails_on_startup": true
}
```

## Upgrade PixlStash

<p align="center">
  <a href="https://pixlstash.dev/upgrade.html">
    <img src="website/assets/upgrade-banner.svg" alt="Upgrade PixlStash" width="320"/>
  </a>
</p>

Detailed installation instructions on <a href="http://pixlstash.dev/upgrade.html">pixlstash.dev</a>.

## Installing plugins

PixlStash supports built-in plugins and user-created plugins.

### User plugin directory

Place your `.py` plugin files in the platform-specific user data directory. PixlStash logs the exact path on startup.

| OS | Path |
|----|------|
| **Linux** | `~/.local/share/pixlstash/image-plugins/user/` |
| **macOS** | `~/Library/Application Support/pixlstash/image-plugins/user/` |
| **Windows** | `%LOCALAPPDATA%\pixlstash\image-plugins\user\` |

### Writing a plugin

Use the template from `pixlstash/image_plugins/built-in/plugin_template.py` in the source repository as a starting point:

1. Create a new `.py` file in your user plugin directory.
2. Subclass `ImagePlugin`, set a unique `name` and `plugin_id`, and implement `run()`.
3. Restart PixlStash Server — plugins are loaded at startup.

`plugin_template.py` is ignored by plugin discovery and will not be loaded as a plugin.

### Plugin licensing

PixlStash backend core is GPL-3.0, but the plugin authoring API files
`pixlstash/image_plugins/base.py` and
`pixlstash/image_plugins/built-in/plugin_template.py` are MIT-licensed.

This means user plugins that only rely on that plugin API/template may use any
license chosen by the plugin author.

If a plugin copies substantial GPL backend code or depends directly on other
GPL-only backend internals, different obligations may apply.


## Troubleshooting

- If the page does not load, confirm the server process is running.
- If port `9537` is in use, set a different port in your server config file.
- If frontend assets are missing, rebuild frontend with `npm run build` and restart the server.
- **Mobile browsers:** the UI is designed for desktop. Mobile may work for basic browsing but is not a supported layout in 1.0.0.

## Docker Images

PixlStash maintains separate Dockerfiles:

- `Dockerfile`: CPU image
- `Dockerfile.gpu`: GPU image (NVIDIA CUDA)

Build locally:

```bash
# CPU
docker build -f Dockerfile -t pixlstash:cpu .

# GPU
docker build -f Dockerfile.gpu -t pixlstash:gpu .
```

Run locally:

```bash
# CPU
docker run --rm -p 9537:9537 -v pixlstash_data:/home/pixlstash pixlstash:cpu

# GPU
docker run --rm --gpus all -p 9537:9537 -v pixlstash_data:/home/pixlstash pixlstash:gpu
```

GitHub Actions uses the same split in `.github/workflows/docker-publish.yml`:

- CPU publish job builds from `Dockerfile`
- GPU publish job builds from `Dockerfile.gpu`

### GPU startup fails (`CUDAExecutionProvider` unavailable)

If startup reports that ONNX `CUDAExecutionProvider` is unavailable, you likely have CPU-only ONNX Runtime installed.

Fix your environment:

```bash
pip uninstall -y onnxruntime
pip install onnxruntime-gpu
```
It some cases you may have to uninstall onnxruntime-gpu and reinstall it.

Verify providers:

```bash
python -c "import onnxruntime as ort; print(ort.get_available_providers())"
```

Expected output should include `CUDAExecutionProvider`.

If you prefer CPU mode, set `"default_device": "cpu"` in `server-config.json`.

