FNGarvin

#!/usr/bin/env python3
"""
Author:  FNGarvin
License: MIT
Usage:   snoop_overlays

Maps every folder in the overlay directory to Podman objects with 
accurate size reporting using a robust find-sum method.
"""

FNGarvin

rm -f manifest_aware.txt ; find . \( -name .git -o -name models -o -name .venv -o -name __pycache__ -o -name manifest* \) -prune -o -type f -exec sha256sum {} + | sort -k 2 > manifest_dir1.txt

rm -f manifest_aware.txt ; find . \( -name .git -o -name models -o -name .venv -o -name __pycache__ -o -name manifest* \) -prune -o -type f -exec sha256sum {} + | sort -k 2 > manifest_dir2.txt

etc, then inspect, diff, or compare checksums of the two manifests.

FNGarvin

🛠️ HOWTO: Download a Single File From a Docker Image 🛠️

Quickstart:

Skip to the addendum for an automated script.

1. Set IMAGE and Collect Metadata

Define your image and use skopeo to pull the build history and the layer manifest.

IMAGE="docker://SOME_USERNAME/SOME_REPONAME[:OPTIONAL_TAG]"

FNGarvin

HOWTO: Automate NVIDIA CDI Refresh for Podman on WSL2

Why this is needed

Updating NVIDIA drivers on Windows often breaks the bridge to WSL2 containers. Because the Container Device Interface (CDI) file (/etc/cdi/nvidia.yaml) is a static snapshot of the driver state at the time of generation, any driver update renders the snapshot invalid. This usually results in Podman containers failing to find the GPU with jarring, cryptic, or non-existent error messages.

The Benefit

This solution provides "zero-touch" insurance. It checks your driver version at boot and only regenerates the CDI if a change is detected. By using a systemd service, it runs asynchronously in the background, adding negligible overhead (approx. 80ms) to your WSL startup time (zero per-shell latency).

Prerequisites

• WSL Version: 0.58.0 or higher (Check via wsl --version in PowerShell).

FNGarvin

#!/usr/bin/env python3
#
# Author: FNGarvin
# License: MIT
#
# Description: A tool to analyze .safetensors LoRA files. It analyzes
#              both metadata (if available) and tensor keys in an attempt
#              to infer the base model, resolution, and trigger words,
#              highlighting any contradictions.

FNGarvin

For a container such as docker://madiator2011/better-comfyui:slim-5090

skopeo inspect --config docker://madiator2011/better-comfyui:slim-5090 | jq '.history'

FNGarvin

def _generate_subs_with_whisper(self, generated_srt_path):
        """Generates subtitles using Whisper. This is the final fallback."""
        print(f"\n--- Generating Subtitles with Whisper ---", flush=True)

        # Create a predictable scratch directory for intermediate files
        scratch_dir = os.path.join(tempfile.gettempdir(), 'subtitle_processor_scratch')
        os.makedirs(scratch_dir, exist_ok=True)
    
        # Use a predictable filename based on the video for easier debugging
        video_basename = os.path.splitext(os.path.basename(self.args.video_file))[0]

FNGarvin

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# detect_and_crop.py
# FNGarvin (c) 2025
#
# This script uses a pre-trained YOLOv8 model to detect objects in an image
# specified as a command-line argument. For each detected object exceeding a
# specified confidence threshold, it generates ImageMagick 'convert' commands
# to crop the object. These commands are then printed to the console and

FNGarvin

General guidance for managing WSL space:

• Use ncdu -x to get an overview for disk usage.
• Use podman system df to get an overview for prune savings.
• Delete old, tagged, unwanted images from podman image list --sort size w/ podman rmi [imagename].
• Do a podman ps -a and ensure every container to keep features the to-keep label mnemonic for filtering. Workflow to add it follows:

Workflow to add -to-keep label:

1. Commit the [stopped] container

FNGarvin

BEWARE. Podman containers mysteriously failing with terse, bordering indecipherable errors.

Must sudo nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml

as per the very difficult to find when you can't remember what you're looking for docs here:

https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/cdi-support.html

REMEMBER