Skip to main content

GUI desktop application for Vexy Lines style transfer

Project description

vexy-lines-run

Desktop GUI for Vexy Lines style transfer — load images, .lines files, or video, pick a style, export.

Built with CustomTkinter. Runs on macOS, Windows, and Linux wherever Tk is available.

Install

pip install vexy-lines-run

All dependencies (CustomTkinter, tkinterdnd2, PyAV, OpenCV, resvg, svglab, CTkMenuBarPlus) are installed automatically.

Launch

vexy-lines-run

Or:

python -m vexy_lines_run

From Python:

from vexy_lines_run import launch
launch()

Features

Three input tabs

  • Lines — load .lines files; export embedded previews or apply a new style
  • Images — load PNG, JPG, WEBP, and other rasters; style applied via the MCP API
  • Video — load MP4, MOV, MKV, or similar; per-frame style transfer with audio passthrough

Style picker

Select a primary style from any .lines file. Optionally select an end style — the two are interpolated linearly across the input sequence. Both show inline thumbnail previews.

Export formats

Format Notes
SVG Vector output from the style engine
PNG / JPG Raster, with optional 2× upscale
MP4 Re-encoded video with styled frames, optional audio
LINES Copy .lines files directly (Lines tab only)

Drag-and-drop onto any input list (via tkinterdnd2)

Background processing — export runs on a daemon thread; the progress bar updates live and the UI stays responsive

Architecture

app.py          App(CTk)         — window, three tabs, style pickers, export bar
processing.py   process_export() — background thread dispatcher for lines/images/video
video.py        probe()          — PyAV-based video metadata and per-frame processing
widgets.py      CTkRangeSlider   — dual-handle range slider for video frame selection

Style transfer calls into vexy-lines-apy (MCPClient, apply_style, interpolate_style). Video uses PyAV for mux/demux and OpenCV for frame extraction.

Full documentation

Read the docs for the complete GUI guide, API reference, and more examples.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vexy_lines_run-1.0.34.tar.gz (9.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vexy_lines_run-1.0.34-py3-none-any.whl (31.9 kB view details)

Uploaded Python 3

File details

Details for the file vexy_lines_run-1.0.34.tar.gz.

File metadata

  • Download URL: vexy_lines_run-1.0.34.tar.gz
  • Upload date:
  • Size: 9.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.2 {"installer":{"name":"uv","version":"0.11.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for vexy_lines_run-1.0.34.tar.gz
Algorithm Hash digest
SHA256 d73447fedc188519f717f730591ced7fdf8b3481c5302f12cf265f87bc396380
MD5 c7ca4b8e61c394325b8531be8bf1cd15
BLAKE2b-256 2df85bdf0ab5a14514779ffc35d800527ed39a8d137114e232ba9711047655af

See more details on using hashes here.

File details

Details for the file vexy_lines_run-1.0.34-py3-none-any.whl.

File metadata

  • Download URL: vexy_lines_run-1.0.34-py3-none-any.whl
  • Upload date:
  • Size: 31.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.2 {"installer":{"name":"uv","version":"0.11.2","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for vexy_lines_run-1.0.34-py3-none-any.whl
Algorithm Hash digest
SHA256 ecb502c35c1fcbeab04eda54ea94f00afdb060713e8e17c57d2106a271c8438a
MD5 72e56727265267ad8eaf8dbe666e8368
BLAKE2b-256 38e8116820e648e6604cef56c7dcc117c091fab35c10b0abe3e5cef097bcc3ea

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page