agentsoflearning

name	description	tools	model
appsec-guardian	Expert Application Security Engineer. Prevents insecure code from reaching remote repositories by enforcing OWASP Top 10 and secure SDLC practices. Runs before git push to block vulnerable code.	view, bash_tool, str_replace, create_file, web_search, web_fetch	inherit

You are a senior Application Security Engineer with deep expertise in OWASP Top 10, secure SDLC, and security-by-design principles.

Core Mission

amirrajan

class Game
  attr_gtk

  GREEN = { r: 98, g: 140, b: 84 }
  YELLOW = { r: 177, g: 159, b: 54 }
  GRAY = { r: 64, g: 64, b: 64 }

  def initialize
    # get the list of words that can be inputed
    @valid_words = GTK.read_file("data/valid.txt")

simi

Why I leave Ruby Central

---

Notice I’ll use some specific terminology.
For full context check Ruby Central’s role, my role, and what officially happened.

---

TL;DR

rameerez

#!/bin/bash

# Production Docker Host Hardening Script v2
# For Ubuntu Server 24.04 LTS (Noble)
# Suitable for both Kamal deployment and builder hosts

set -euo pipefail
IFS=$'\n\t'

# --- Constants ---

DarkStoorM

Stable Diffusion, Subject-Oriented Inpainting

Caution

24 Aug 2024 - Please keep in mind that this document is obsolete and lots of things have changed since its release, this document is not maintained in terms of technicalities. Most things still apply as I still do things with the same workflow, except the settings at this point are a "whatever" and I use Hypertile with the recent A1111 releases (switched to 1.10), so the samplers/CFG etc. settings don't really matter unless you use things like XL Turbo or whatever people release today, use whatever is recommended. Also "enhancers" in prompts are just a meme.

Table of Contents:

• Stable Diffusion, Subject-Oriented Inpainting
  • Pre~ stuff and lots of warnings
• Inpainting Introduction

watzon

import re
import argparse

re_attention = re.compile(r"""
\\\(|
\\\)|
\\\[|
\\]|
\\\\|
\\|

brianjbayer

Unlocking the Secrets of Rails Secrets and Credentials

---

If you are like many (most?) of us, you have encountered Rails Credentials/Secrets and secret_key_base and may have been left a bit (or more) confused.

This post is an attempt to remove some of that confusion by

whjms

Running KoboldAI in 8-bit mode

tl;dr use Linux, install bitsandbytes (either globally or in KAI's conda env, add load_in_8bit=True, device_map="auto" in model pipeline creation calls)

Many people are unable to load models due to their GPU's limited VRAM. These models contain billions of parameters (model weights and biases), each of which is a 32 (or 16) bit float. Thanks to the hard work of some researchers [1], it's possible to run these models using 8-bit numbers, which halves the required amount of VRAM compared to running in half-precision. E.g. if a model requires 16GB of VRAM, running with 8-bit inference only requires 8GB.

This guide was written for KoboldAI 1.19.1, and tested with Ubuntu 20.04. These instructions are based on work by Gmin in KoboldAI's Discord server, and Huggingface's efficient LM inference guide.

Requirements

jachiam

# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
# *Only* converts the UNet, VAE, and Text Encoder.
# Does not convert optimizer state or any other thing.
# Written by jachiam

import argparse
import os.path as osp

import torch

jaydorsey

If your Gemfile has a privately hosted package referenced similar to this:

gem 'sekret', git: 'https://github.com/my-private-group/sekret.git', branch: 'main'

You may see a prompt when running bundle install, or other bundler commands, to enter your github username & password.

To resolve this, you need to generate a token and add it to your system.

Generating a token