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#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

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from diffusers import LCMScheduler
from diffusers import AutoPipelineForText2Image
import torch
from dotenv import load_dotenv
import os
from openai import OpenAI
import gradio as gr
import random
import time
import string

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import json
from broadcaster import Broadcast
from starlette.applications import Starlette
from starlette.concurrency import run_until_first_complete
from starlette.routing import Route, WebSocketRoute
from starlette.templating import Jinja2Templates
from starlette.middleware import Middleware
from starlette.middleware.cors import CORSMiddleware
from dotenv import load_dotenv
import os

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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

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Extend and override nginx config for Elastic Beanstalk Amazon Linux 2

Documentation on how to override or extend the default nginx config on Elastic Beanstalk running om Amazon Linux 2. Correct as of 2021-08-01. Also see the general documentation on how to extend linux servers.

All references to placing files refer to putting a file at this location in your application bundle. You should never modify a file directly at your Elastic Beanstalk server by ssh:ing to the server, since such a change will be wiped whenever your servers autoscale or if you rebuild your application completely.

Adding a new location block

The easiest extension is to add a new location block to the main server block. This can be done by placing a .conf file with a server block in the folder .platform/nginx/conf.d/elasticbeanstalk. Any such file is automatically included in the main server block.

Overriding the default location

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mcolors = ['b', 'g', 'r', 'c', 'm', 'y', 'k', 'w', 'aliceblue', 'antiquewhite', 'aqua', 'aquamarine', 'azure', 'beige', 'bisque', 'black', 'blanchedalmond', 'blue', 'blueviolet', 'brown', 'burlywood', 'cadetblue', 'chartreuse', 'chocolate', 'coral', 'cornflowerblue', 'cornsilk', 'crimson', 'cyan', 'darkblue', 'darkcyan', 'darkgoldenrod', 'darkgray', 'darkgreen', 'darkgrey', 'darkkhaki', 'darkmagenta', 'darkolivegreen', 'darkorange', 'darkorchid', 'darkred', 'darksalmon', 'darkseagreen', 'darkslateblue', 'darkslategray', 'darkslategrey', 'darkturquoise', 'darkviolet', 'deeppink', 'deepskyblue', 'dimgray', 'dimgrey', 'dodgerblue', 'firebrick', 'floralwhite', 'forestgreen', 'fuchsia', 'gainsboro', 'ghostwhite', 'gold', 'goldenrod', 'gray', 'green', 'greenyellow', 'grey', 'honeydew', 'hotpink', 'indianred', 'indigo', 'ivory', 'khaki', 'lavender', 'lavenderblush', 'lawngreen', 'lemonchiffon', 'lightblue', 'lightcoral', 'lightcyan', 'lightgoldenrodyellow', 'lightgray', 'lightgreen', 'lightgrey', 'lightpink', 'light

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