garystafford

subject_prompt = """oue, photo of a oue electric scooter, sleek, smooth curves, colorful, 
daytime, urban, futuristic cityscape"""

subject_negative_prompt = """person, people, human, rider, floating objects, text, 
words, writing, letters, phrases, trademark, watermark, icon, logo, banner, signature, 
username, monochrome, cropped, cut-off, patterned background"""

refiner_prompt = """ultra-high-definition, photorealistic, 8k uhd, high-quality, 
ultra sharp detail"""

garystafford

subject_prompt = """oue, photo of a oue electric scooter in a brightly colored 
neon-lite city at night, sleek design, smooth curves, colorful, nighttime, 
urban environment, futuristic cityscape"""

subject_negative_prompt = """person, people, human, rider, floating objects, daytime, 
sunlight, text, words, writing, letters, phrases, trademark, watermark, icon, logo, 
banner, signature, username, monochrome, cropped, cut-off, patterned background"""

refiner_prompt = """ultra-high-definition, photorealistic, 8k uhd, high-quality, 
ultra sharp detail"""

garystafford

!autotrain dreambooth \
    --model ${MODEL_NAME} \
    --project-name ${PROJECT_NAME} \
    --image-path "${IMAGE_PATH}" \
    --prompt "${INSTANCE_PROMPT}" \
    --class-prompt "${CLASS_PROMPT}" \
    --resolution ${RESOLUTION} \
    --batch-size ${BATCH_SIZE} \
    --num-steps ${NUM_STEPS} \
    --gradient-accumulation ${GRADIENT_ACCUMULATION} \

garystafford

chpt  paras    words     chrs   tokens    ratio     cost
--------------------------------------------------------
   1     39    5,547   30,624    7,218     4.24    0.080
   2     62    5,305   28,510    6,833     4.17    0.075
   3     46    5,571   29,805    7,075     4.21    0.078
   4     86    5,703   30,267    7,338     4.12    0.081
   5     28    3,390   18,019    4,650     3.88    0.051
   6     64    5,299   29,195    7,524     3.88    0.083
   7     62    5,424   29,964    7,120     4.21    0.078
   8     59    6,044   32,637    7,970     4.09    0.088

garystafford

garystafford

###############################################################################
# Helpful Docker commands and code snippets
###############################################################################

### CONTAINERS ###
docker stop $(docker ps -a -q) #stop ALL containers
docker rm -f $(docker ps -a -q) # remove ALL containers
docker rm -f $(sudo docker ps --before="container_id_here" -q) # can also filter

# exec into container

garystafford

cd ./pyspark/emr_jars/
wget https://github.com/aws/aws-msk-iam-auth/releases/download/v1.1.1/aws-msk-iam-auth-1.1.1-all.jar
wget https://repo1.maven.org/maven2/org/apache/commons/commons-pool2/2.11.1/commons-pool2-2.11.1.jar
wget https://repo1.maven.org/maven2/org/apache/kafka/kafka-clients/2.8.1/kafka-clients-2.8.1.jar
wget https://repo1.maven.org/maven2/org/apache/spark/spark-avro_2.12/3.1.2/spark-avro_2.12-3.1.2.jar
wget https://repo1.maven.org/maven2/org/apache/spark/spark-sql-kafka-0-10_2.12/3.1.2/spark-sql-kafka-0-10_2.12-3.1.2.jar
wget https://repo1.maven.org/maven2/org/apache/spark/spark-streaming_2.12/3.1.2/spark-streaming_2.12-3.1.2.jar
wget https://repo1.maven.org/maven2/org/apache/spark/spark-tags_2.12/3.1.2/spark-tags_2.12-3.1.2.jar
wget https://repo1.maven.org/maven2/org/apache/spark/spark-token-provider-kafka-0-10_2.12/3.1.2/spark-token-provider-kafka-0-10_2.12-3.1.2.jar
wget https://repo1.maven.org/maven2/software/amazon/awssdk/bundle/2.17.66/bundle-2.17.66.jar

garystafford

import argparse
import json
import logging
import sys
from datetime import datetime

import paho.mqtt.client as mqtt
import psycopg2

# Mosquitto to TimescaleDB Script

garystafford

###############################################################################
# Helpful Git/GitHub commands and code snippets
###############################################################################

#### Remove/Squash All History on Master - CAUTION! ####
# https://stackoverflow.com/a/26000395/580268
git checkout --orphan latest_branch \
 && git add -A \\
 && git commit -am "Remove/squash all project history" \
 && git branch -D master \

garystafford

# Purpose: Generate US residential address data
# Author: Gary A. Stafford and GitHub Copilot
# Date: 2023-04-13
# Usage: python3 residential_address_data_gen.py 100
# Command-line argument(s): rec_count (number of records to generate as an integer)

# Write an application that create a random list of united states addresses.
# The application should accept a command line argument that specifies the number of records to generate.
# Include address, city, state, zip code, country, and property type.
# Write the data to a csv file named 'address_data.csv'.