| function memfrob(str) { | |
| var out = ""; | |
| for (var i = 0; i < str.length; i++) { | |
| out += String.fromCharCode(str.charCodeAt(i) ^ 42); | |
| } | |
| return out; | |
| } | |
| function apply(id, frobbed) { | |
| document.getElementById(id).href = memfrob(atob(frobbed)); |
This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.
Update: I've disabled comments as of 2025-01-26 to avoid everyone having notifications for something a year on if someone wants to suggest a correction. Folks are free to email to suggest corrections still, of course.
Moved to a repo at https://github.com/Geczy/coolify-migration
Last updated: 2025-09-11 Installing Gitbutler Version: 0.16.0
This guide will provide a complete walkthrough for getting GitButler setup and functioning on a windows environment using Windows Subsystem for Linux (WSL).
Please note that GitButler on windows via wsl is not well tested and not officially supported. Also, please note that installing and running GitButler on windows and pointing it to a WSL project folder or visa versa is not currently supported.
Over the weekend, I decided to try running a Postgres database in my Homelab. In my current setup, the most convenient option for storage is NFS. However, NFS is especially tricky for databases. A misconfigured setup can lead to performance or data corruption issues.
After watching
| FROM node:20 | |
| WORKDIR /build | |
| COPY src/frontend/package*.json . | |
| RUN rm -rf node_modules | |
| RUN rm -rf build | |
| RUN npm install | |
| COPY src/frontend/. . | |
| RUN npm run build | |
| # Thanks https://stackoverflow.com/q/76988450 |
Note
(2025-01-08) Add feature for 🏷️Tag(Revision) Selection, contributed by @Bamboo-D.
(2024-12-17) Add feature for ⚡Quick Startup and ⏭️Fast Resume, enabling skipping of downloaded files, while removing the git clone dependency to accelerate file list retrieval.
Considering the lack of multi-threaded download support in the official huggingface-cli, and the inadequate error handling in hf_transfer, This command-line tool leverages curl and aria2c for fast and robust downloading of models and datasets.
| DELAY 1000 | |
| GUI r | |
| DELAY 500 | |
| STRING cmd | |
| SHIFT CTRL ENTER | |
| DELAY 1000 | |
| LEFT | |
| ENTER | |
| DELAY 1000 |
| domain = 'watermark' # just an example of how to use bytesio with PIL, works better if you know more about the images you're using instead of using random ones which can have random dimensions. | |
| import aiohttp | |
| from urllib.parse import unquote | |
| from io import BytesIO | |
| from PIL import Image, ImageDraw, ImageFont | |
| async def returnRandomCat(): | |
| async with aiohttp.ClientSession() as session: | |
| async with session.get("https://aws.random.cat/meow") as resp: |
