ensean

import { Cluster } from "ioredis";

const host = "clustercfg.test.xxxxxx.memorydb.ap-northeast-1.amazonaws.com";
const port = 6379;

export const redis = new Cluster([{ host, port }], {
  dnsLookup: (address, callback) => callback(null, address),
  redisOptions: {
    tls: {},
  },

ensean

import json
import sagemaker
import boto3
from sagemaker.huggingface import HuggingFaceModel, get_huggingface_llm_image_uri

try:
	role = sagemaker.get_execution_role()
except ValueError:
	iam = boto3.client('iam')
	role = iam.get_role(RoleName='sagemaker_execution_role')['Role']['Arn']

ensean

import json
import boto3

client = boto3.client('rds')

def modify_acu(cluster_id, min_acu, max_acu):
    resp = client.modify_db_cluster(
        DBClusterIdentifier=cluster_id,
        ApplyImmediately=True,
        ServerlessV2ScalingConfiguration={

ensean

#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0

ensean

#! /usr/bin/python3
"""
extras.py: Upscale PNG images in DIR_IN into DIR_OUT.
Usage: Set API_URL, DIR_IN, and DIR_OUT. Then run ./extras.py
For API documentation see: http://localhost:7860/docs#/
"""

import sys
import io
import os

ensean

base) [ec2-user@ip-172-16-78-199 stable-diffusion-on-eks]$ kubectl logs sdruntime-sd-on-eks-sd-webui-inference-api-6cfbc85c7d-tbsng
Defaulted container "sd-webui-inference-api" out of: sd-webui-inference-api, sd-webui-queue-agent, xray-daemon
The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.
Launching Web UI with arguments: -f --api --skip-prepare-environment --no-hashing --listen --port 8080 --xformers --ckpt v1-5-pruned-emaonly.safetensors --ckpt-dir /tmp/models/stable-diffusion --controlnet-dir /tmp/models/controlnet --lora-dir /tmp/models/lora --vae-dir /tmp/models/vae
Moving 0 files to the new cache system
0it [00:00, ?it/s]
Checkpoint in --ckpt argument not found (Possible it was moved to /opt/ml/code/models/Stable-diffusion: v1-5-pruned-emaonly.safetensors
2023-11-15 23:29:49,101 - ControlNet - INFO - ControlNet v1.1.410
Co

ensean

import logging
import zipfile
import mimetypes
from io import BytesIO
from boto3 import resource

logger = logging.getLogger()
logger.setLevel(logging.INFO)

def upload_files(zipped, zipfile_info, destinationbucket, upload_path):

ensean

import json
import urllib.parse
import boto3

print('Loading function')

s3 = boto3.client('s3')


def lambda_handler(event, context):

ensean

var crypto = require('crypto');

//Update with your own key.
var magic_key = "Set_at_your_wish";

// default validation is 12 hours, update it when necessary
var time_delta = 12 * 3600; 

//Response when token ts does not match.
var response403 = {

ensean

import json
import datetime
import random
from datetime import timedelta
import time
i=0

def getlatlon():
	a=["-73.98174286,40.71915817", "-73.98508453, 40.74716568", "-73.97333527,40.76407242", "-73.99310303,40.75263214",
		"-73.98229218,40.75133133", "-73.96527863,40.80104065", "-73.97010803,40.75979996", "-73.99373627,40.74176025", "-73.98544312,40.73571014",