LyAhn
3ee7d7a3ac
Single-file browser tool that decodes a base64 string and saves the result back out as a file. No server, no dependencies, nothing uploaded. Input cleanup covers data URIs, URL-safe alphabet, missing padding, line wrapping, percent-encoding and wrapping quotes. Type detection runs magic bytes (~30 signatures), then the data URI's declared MIME, then UTF-8 content sniffing for SVG/HTML/XML/JSON/PEM; unrecognised payloads fall back to .bin with a hex dump. Images, audio, video, PDF and text are previewed inline before download.
2.7 KiB
JWTF Tools
A collection of utility tools for development and testing.
Tools
Base64 → File
A single-file web tool that decodes a base64 string and saves it back out as a real file. Handles data URIs, URL-safe base64, missing padding and line-wrapped input; detects the file type from magic bytes and previews images, audio, video, PDFs and text before you download. Runs entirely in the browser — no server, no dependencies, nothing uploaded.
xdg-open base64-decoder/base64-decoder.html
Fake Media
Generates large collections of placeholder PNG images for testing without downloading real files. Supports a terminal UI and a non-interactive CLI mode. Configurable image sizes, folder structure, file counts, and naming prefixes — uses only Python's standard library.
python3 fake-media/generate_fake_media.py
Fake Wheel
Emulates a Logitech G29 Racing Wheel as a virtual Linux input device via /dev/uinput. Useful for testing applications that consume gamepad/wheel input without needing physical hardware. Simulates steering, throttle, brake, and button events automatically.
sudo python3 fake-wheel/fake_wheel_uinput.py
Requires Linux with the uinput kernel module and either root access or a user in the input group.
RemoveBG Studio
AI background removal for images and video, with lossless FFmpeg frame extraction/reassembly. Ships as a native Windows app (C++ host embedding WebView2, driving a Python/rembg sidecar over JSON-stdio) with a live before/after preview, plus a scriptable CLI and a legacy Tkinter GUI fallback. See rembg/README.md for build/usage details.
VidBoard Setup
A Rust TUI installer that copies VidBoard AI model files into existing ComfyUI and Ollama installations on Windows. Automatically detects both applications via open ports, running process command lines, environment variables, and known install locations — pre-filling the paths so you only need to confirm and press Enter.
The installer expects a models/ directory next to the binary containing the ComfyUI and Ollama payload. It copies the following files:
- ComfyUI (
models/comfyui/) — Flux 2 Klein 4b fp8, Flux 2 Klein 9b fp8, Qwen 3 4b text encoder, Qwen 3 8b fp8 text encoder, Flux 2 VAE - Ollama (
models/ollama/) — gemma3:12b, gemma4:e4b manifests and blobs
Files already present at the destination with a matching size are skipped. A live progress gauge shows per-file and overall transfer speed.
cargo build --release
# Place the binary alongside the models/ directory, then run:
./vidboard-setup.exe
Requires Windows (uses PowerShell for process/port detection).