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-1.0.31.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-1.0.31-py3-none-any.whl (30.9 kB view details)

Uploaded Python 3

File details

Details for the file vexy_lines_run-1.0.31.tar.gz.

File metadata

  • Download URL: vexy_lines_run-1.0.31.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-1.0.31.tar.gz
Algorithm Hash digest
SHA256 385ca41f3fc9026493e54ae926fa0bee2b977777434cba6bcfd559f1ae83de0f
MD5 51c3c5987c073bc1f9b6748c3245fdbb
BLAKE2b-256 3ac52e70b66d0968232188f66337247575d4264cba3fc9575a5e0990c5d5b85f

See more details on using hashes here.

File details

Details for the file vexy_lines_run-1.0.31-py3-none-any.whl.

File metadata

  • Download URL: vexy_lines_run-1.0.31-py3-none-any.whl
  • Upload date:
  • Size: 30.9 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-1.0.31-py3-none-any.whl
Algorithm Hash digest
SHA256 1cea0eb56a7e5a5bfb4a158d3777fada52521972cd3db6c1638fb048d8715c80
MD5 6b06ee1ddd07efe5ec48f565c86545f9
BLAKE2b-256 811f2a66b1bdc2a5fbeed926e7f77d4827a3d4836ada5bde64c03222ebe1c610

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