Nguyen Vu Cuong (Ralph) 6220119

Hurdles of macOS distribution

These are some of the Stable Diffusion references people have made listing hundreds of artist styles.

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	{
	"tools": [
	{
	"type": "function",
	"function": {
	"name": "codebase_search",
	"description": "Find snippets of code from the codebase most relevant to the search query.\nThis is a semantic search tool, so the query should ask for something semantically matching what is needed.\nIf it makes sense to only search in particular directories, please specify them in the target_directories field.\nUnless there is a clear reason to use your own search query, please just reuse the user's exact query with their wording.\nTheir exact wording/phrasing can often be helpful for the semantic search query. Keeping the same exact question format can also be helpful.",
	"parameters": {
	"type": "object",
	"properties": {

	# train_grpo.py
	#
	# See https://github.com/willccbb/verifiers for ongoing developments
	#
	import re
	import torch
	from datasets import load_dataset, Dataset
	from transformers import AutoTokenizer, AutoModelForCausalLM
	from peft import LoraConfig
	from trl import GRPOConfig, GRPOTrainer

	# THIS LINUX SETUP SCRIPT HAS MORPHED INTO A WHOLE PROJECT: HTTPS://OMAKUB.ORG
	# PLEASE CHECKOUT THAT PROJECT INSTEAD OF THIS OUTDATED SETUP SCRIPT.
	#
	#

	# Libraries and infrastructure
	sudo apt update -y
	sudo apt install -y \
	docker.io docker-buildx \
	build-essential pkg-config autoconf bison rustc cargo clang \

	import { useEffect, useState } from "react";

	type UseTextSelectionReturn = {
	text: string;
	rects: DOMRect[];
	ranges: Range[];
	selection: Selection \| null;
	};

	const getRangesFromSelection = (selection: Selection): Range[] => {

	#!/usr/bin/env python3

	##############################################################################
	# Installation:
	# First, run the following command to install the required dependencies:
	# pip3 install rumps
	# Then, copy the script to /usr/bin/local/tmr
	##############################################################################

	import rumps

	I want you to help me make requests (prompts) for the Stable Diffusion neural network.

	Stable diffusion is a text-based image generation model that can create diverse and high-quality images based on your requests. In order to get the best results from Stable diffusion, you need to follow some guidelines when composing prompts.

	Here are some tips for writing prompts for Stable diffusion1:

	1) Be as specific as possible in your requests. Stable diffusion handles concrete prompts better than abstract or ambiguous ones. For example, instead of “portrait of a woman” it is better to write “portrait of a woman with brown eyes and red hair in Renaissance style”.
	2) Specify specific art styles or materials. If you want to get an image in a certain style or with a certain texture, then specify this in your request. For example, instead of “landscape” it is better to write “watercolor landscape with mountains and lake".
	3) Specify specific artists for reference. If you want to get an image similar to the work of some