Entrance
In this article, we learn how to generate images using artificial intelligence. This time we are working with DALL·E. DALL·E is an image generator that uses artificial intelligence. Just enter a description and DALL E will generate an image:
In this article we will cover the following topics:
- First, we learn what DALL·E is and how to work with it over the Internet.
- Second, we learn how to call the DALL·E REST API in Python and store it in SQL Server. If you're new to Python, this tutorial should teach you.
- Finally, we'll show you how to retrieve values stored in SQL Server and view images.
Requirements
- You must first install SQL Server.
- Second, I installed Visual Studio Code.
- SSMS is also installed.
- Finally, we need a table to store the images in SQL Server. The following code creates the requested table.
CREATE TABLE [dbo].[image]([id] [int] NULL,[image] [varbinary](max) NULL) NA [PRIMARY] TEXTIMAGE_ON [PRIMARY]GO
What is DALL·E?
This deep learning AI model was created by OpenAI (well-known developersChatGPT). DALL·E is named after a famous Spanish artistSalvador DaliandWALL-E. The famous Pixar robot. The name combines art and artificial intelligence. This software generates images according to the attached text.
First steps
Go to the first oneDALL E web stranicai press the Try DALL·E button.
Second, write a description of the image in natural language. In this example, I'm making a cartoon of an angry tomato boss in a suit and mustache waiting for a train.
Third, pressuregeneratebutton.
You can also generate images using painting styles. The following example shows you how to create a Van Gogh painting:
Additionally, we can use the 3D rendering style:
This is the ukiyo-e style:
Finally, we have the abstract pen style:
My personal gallery
First, we have a robot on a throne conquering the world.
Second, one of my favorite pictures.Vrisak to Edward Muncha. This time with a cat.
Finally, it's a mix between a dog and a painting of the Mona Lisa.
How to generate images using artificial intelligence and store them in SQL Server using Python
First, we will use Visual Studio Code, which is free software. However, you can use any software to generate Python code.
After installation, go to Extensions and installPythonfrom Microsoft and optionalpilance.
Second, go to Menu and selectFile>New File
Third, in the new file, clickChoose a languageoption and select Python.
In addition, you must install the following command-line libraries. Run this code on the command line where Python is installed. Pip is a command line used to manage Python packages. In this example, we install additional packages.
install pip3 pyodbcpip3 install openaipip3 install requirements base64pip3
We finally have the code. The given code was generated by me andChatGPTas well as in the human-robot alliance.
import osimport pyodbciimport base64import openaiimport requestopenai.api_key = "sk-Z5KNDHB8hthJYIfRaNqj"# Stvorite sliku s OpenAI APIresponse = openai.Image.create(prompt="green fighting soldier figure",n=2,size="256x256")# Povežite se na SQL Server databaseconn = pyodbc.connect('DRIVER={SQL Server};SERVER=.;DATABASE=adventureworks2019;Trusted_Connection=yes;')# Preuzmite i spremite slike za i, img_data u enumerate(response["data"]): # spremi URL-ove u c:\data driveurl = img_data["url"]filename = f"image_{i}.png"filepath = os.path.join("c:\\data", filename)response = request.get ( url)with open(filepath, "wb") kao f:f.write(response.content)# Postavite slike u bazu podataka SQL Servera, sliku slike tablice i stupca s open(filepath, "rb") kao f:image = f. read()cursor = conn.cursor()#user the insert statementcursor.execute("INSERT INTO image (id, image) VALUES (?,?)", i+1, pyodbc.Binary( image))#commit and close cursorcursor.commit()cursor.close()Code Explained for AI Image Generation Using Python - Code Explained
This code saves the generated images to the c:\\data folder in SQL Server. This assumes you already have a map.
If we first go to the c:\data folder we will see the photos.
Second, when we open the images, we see green soldiers generated by DALL·E.
Finally, when we make a selection in SSMS, we see two images stored in a table named image created in requests.
SELECT *With dbo].[image]
AI Image Generation Code Explained Using Python - Import Instructions
First we need to import some packages to make them work:
import osimport pyodbcimport requests base64import openaiimport
We installed those packages using the pip3 command and now use them to import images. Let's explain the packages:
- First, we have the os package for saving images to the hard disk. Os (operating system) is the core package included with Python by default. You don't need to install it.
- Second, we have the pyodbc package which is used to connect to SQL Server using ODBC.
- Third, we have base64 which is used to handle binary data. Images in this example.
- We also have openai package which will be used to work to connect to DALL-E using REST API.
- Finally, we have a request packet to send an HTTP request with a specific URL. We use this to store the image URL value to disk and then to SQL Server.
AI Image Generation Code Explained Using Python - Create an image
After importing the package we have the following code:
openai.api_key = "sk-Z5KNDHB8hmMd801XWwthJYIfRaNqj"# Create an image with OpenAI APIresponse = openai.Image.create(prompt="green cartoon soldier fight",n=2,size="256x256")
First, we use openai.api_key to connect to the DALL·E REST API. You must register on openai. If you've worked with ChatGPT before, you already have an account. After creating an account, go toLink to API keys.
Drugo, opAPI keyspress Create new secret key and copy the key (sk-Z5KNDHB8hmIfRaNqj in this example) into your code:
openai.api_key = "sk-Z5KNDHBIfRaNqj"
Third, we have the following code:
# Create an image with OpenAI APIresponse = openai.Image.create(promp="cartoon green soldier in battle",n=2,size="256x256")
Let's explain line by line:
First we create an image using the openai package:
antwoord = openai.Image.create(
Second, in the query, we send a description of the image (a cartoon green soldier in battle):
prompt="green cartoon soldier in battle",
Third, n=2 is used to enter the number of images created.
Finally, Size is used to determine the size of the image.
Explaining the code to generate AI images using Python - Saving images
The next section discusses saving images to the c:\data folder.
First we use a for loop to store the openai response URLs. URLs are stored in an attribute called data.
dla i, img_data u enumerate(answer["data"]):
Second, we store the URL in a variable:
url = dane_img ["url"]
Third, we create a file name with the prefix f, the word image, an underscore and a number, and the extension png (image_0.png and image_1.png). PNG (Portable Network Graphics) is a well-known extension for storing digital images.
file name = f"image_{i}.png"We also create a file path by concatenating the folder path and the file name.
filepath = os.path.join("c:\\data", file name)Also provide the URL.
odgovor = requests.get(url)
Finally, we save the content of the URL.
z open(filepath, "wb") kao f:f.write(answer.content)
Code Explained for Generating AI Images Using Python - Storing Data in SQL Server
In this section we will explain the following code:
# Spojite se na SQL Server databaseconn = pyodbc.connect('DRIVER={SQL Server};SERVER=.;DATABASE=adventureworks2019;Trusted_Connection=yes;')# Postavite slike u bazu podataka SQL Servera, otvorite tablicu slika i stupce slika(put do datoteke , "rb") kao f:picture = f.read()cursor = conn.cursor()#user the insert statementcursor.execute("INSERT INTO image (id, picture) VALUES (?, ?)", i+1 , pyodbc.Binary(image))#commit and close cursorcursor.commit()cursor.close()First we establish a connection. We use the pyodbc package. The driver is SQL Server because we want to connect to SQL Server. Server is the name of SQL Server. In this example a. means using a local SQL server. The database name in this example is Adventureworks2019, but you can use any existing SQL Server database you like. A trusted connection means using Windows authentication to connect to the SQL server. So make sure your Windows account has SQL Server permissions.
# Vratite se na SQL Server databaseconn = pyodbc.connect('DRIVER={SQL Server};SERVER=.;DATABASE=adventureworks2019;Trusted_Connection=yes;')Second, we read the file and save a variable called image:
z open(filepath, "rb") as f:image = f.read()
Third, we open the pointer to manipulate the data.
cursor = connection.cursor()
In addition, we add data to the image table. Note that this table was created inClaimSection.
cursor.execute("INSERT INTO image (id, image) VRIJEDNOSTI (?,?)", i+1, pyodbc.Binary(image))Finally, we edit and close the cursor.
cursor.approve() cursor.close()
Application
In this article, we have seen how to generate images using artificial intelligence and store them in SQL Server using Python. DALL·E is an excellent image generation tool. We saw how to link and generate images manually using a web page and then using the REST API in Python. Finally, we stored the images in SQL Server.
FAQs
Is SQL used for AI? ›
By encapsulating the machine learning and AI models as part of the SQL Server stored procedure, it lets SQL Server serve AI with the data. There are other advantages for using stored procedures for operationalizing machine learning and AI (ML/AI).
Can I do machine learning in SQL? ›Machine Learning Services is a feature in SQL Server that gives the ability to run Python and R scripts with relational data. You can use open-source packages and frameworks, and the Microsoft Python and R packages, for predictive analytics and machine learning.
How to create a AI in Python? ›- Step 1: Create A Python Program. ...
- Now Create a greeting and goodbye to your AI chatbot for use. ...
- Create keywords and responses for your AI chatbot. ...
- Bring in the random module. ...
- Greet the user. ...
- Continue interacting with the user until they say “bye”.
- Import the OpenCV package to access the functions. ...
- Create a variable as img that holds our image. ...
- Then set a while loop and that will help us render the image an infinite number of times till we exit the system.
- Then use the cv2. ...
- The cv2. ...
- Then call the sys.
- Redis. Redis is a top-notch open-source, in-memory data structure many people currently use in the market. ...
- PostgreSQL. ...
- MySQL. ...
- MongoDB. ...
- MLDB. ...
- Microsoft SQL Server. ...
- Apache Cassandra.
The difference in collation between AI/AS is Accent Sensitive (AS) and Accent Insensitive (AI). And the CI/CS mean Case Insensitive (CI) and Case Sensitive (CS).
How long does it take to learn SQL on your own? ›On its own, SQL isn't hard to learn. You can learn SQL in as little as two to three weeks. However, it can take months of practice before you feel comfortable using it. Determining how long it takes to learn SQL also depends on how you plan to use it.
Can SQL Server run on a virtual machine? ›SQL Server on Azure Virtual Machines enables you to use full versions of SQL Server in the cloud without having to manage any on-premises hardware. SQL Server virtual machines (VMs) also simplify licensing costs when you pay as you go. Azure virtual machines run in many different geographic regions around the world.
How difficult is learning SQL? ›Because SQL is a relatively simple language, learners can expect to become familiar with the basics within two to three weeks. That said, if you're planning on using SQL skills at work, you'll probably need a higher level of fluency. How quickly you achieve mastery will depend on your method of learning.
Can I build an AI on my own? ›Can I create my own AI? Yes, you can create your own AI system by following the steps outlined in this article. However, creating an AI system requires technical expertise in fields such as machine learning, deep learning, and natural language processing.
Which language is best for AI? ›
#1 Python. Although Python was created before AI became crucial to businesses, it's one of the most popular languages for Artificial Intelligence. Python is the most used language for Machine Learning (which lives under the umbrella of AI).
How are images stored in SQL database? ›The IMAGE data type in SQL Server has been used to store the image files. Recently, Microsoft began suggesting using VARBINARY(MAX) instead of IMAGE for storing a large amount of data in a single column since IMAGE will be retired in a future version of MS SQL Server.
Which software is best for making AI? ›- Google Cloud Learning Machine. ...
- IBM Watson. ...
- NVIDIA Deep Learning AI Software. ...
- Content DNA Platform. ...
- Nia Infosys. ...
- Azure Machine Learning Studio. ...
- Cortana. ...
- Salesforce Einstein.
AI type-1: Based on Capabilities
Narrow AI is a type of AI which is able to perform a dedicated task with intelligence.The most common and currently available AI is Narrow AI in the world of Artificial Intelligence. Narrow AI cannot perform beyond its field or limitations, as it is only trained for one specific task.
Google DeepMind — AlphaGo
AlphaGo is considered to be one of the most intelligent AI systems in the industry due to its advanced capabilities and its ability to learn and adapt over time.
SQL full form, or SQL, stands for sequel programming languages are used for storing, manipulating, and retrieving data stored in a relational database.
What is the difference between SQL virtual machine and SQL database? ›SQL virtual machines offer full administrative control over the SQL Server instance and underlying OS for migration to Azure. The most significant difference from SQL Database and SQL Managed Instance is that SQL Server on Azure Virtual Machines allows full control over the database engine.
What makes SQL different from other languages? ›The most widely used programming languages from this category include Java, JavaScript, Python, C++, and Ruby. In contrast to these languages, SQL has a very niche role of communicating with relational databases. Thus, you cannot build an application using only SQL.
What is the salary of a SQL Developer? ›In the United States., SQL developers can typically make a median salary of $98,860, according to the Bureau of Labor Statistics [1]. Roles such as SQL developer and other database administrators have a projected job growth outlook of 9 percent between 2021 and 203 [1].
How can I practice SQL by myself? ›- SQL Fiddle. SQL Fiddle is a great place to start if you're looking to, well, fiddle around with SQL. ...
- SQLZOO. You'll find it easy to get going in SQL at SQLZOO. ...
- Oracle LiveSQL. ...
- W3resource. ...
- Stack Overflow. ...
- DB-Fiddle. ...
- GitHub. ...
- Coding Ground.
Can I learn SQL in 3 days? ›
It should take an average learner about two to three weeks to master the basic concepts of SQL and start working with SQL databases. But in order to start using them effectively in real-world scenarios, you'll need to become quite fluent; and that takes time.
What is the best VM size for SQL Server? ›Since the starting recommendation for production workloads is a memory-to-vCore ratio of 8, the minimum recommended configuration for a General Purpose VM running SQL Server is 4 vCPU and 32 GiB of memory.
Can I have 2 SQL Server on the same machine? ›You can install multiple instances of SQL Server, or install SQL Server on a computer where earlier SQL Server versions are already installed. The following SQL Server-related items are compatible with the installation of multiple instances on the same computer: Database Engine.
How do I know if SQL Server is physical or virtual? ›Run>msinfo32 and press enter. This will display system information. Under System model you will find out whether VM or physical machine.
What is the hardest part of SQL? ›Recursive Queries is known as master the most challenging type of SQL queries. Learn how to process trees and graphs in SQL, and how to effectively organize long SQL queries.
Can I learn SQL in a week? ›Can I Learn SQL in a Week? Yes, it is definitely possible to learn the basics of SQL in a week or less. To accomplish this goal, you need to become acquainted with the various types of SQL statements, such as SELECT , INSERT , UPDATE , and DELETE .
What is the easiest SQL to learn? ›Microsoft SQL Server is used as the fundamental tool in universities for Web applications and software. SQLite, a powerful Relational Database Management System (RDBMS), is also very easy to learn and to practice simple queries. It is very essential to become familiar with the basics of the most popular SQL Databases.
What is the AI tool that generates images? ›DALL-E 2 is an AI-powered image generator created by OpenAI, the makers of ChatGPT. The original DALL-E was released in 2021, and DALL-E 2, the updated version, was released in November 2022. Users enter text descriptions into the system, and the software spits out realistic, original images.
Is there a free AI image generator? ›Canva (Web, Android, iOS): Free AI Image Generator by the Popular Design App. Canva is one of the most popular photo-editing and designing apps for the web and smartphones. Like Picsart, it has also plunged into the AI world with a free AI art generator of its own.
What are AI generated images called? ›Most AI images are computer-generated photographs (CGI), but there are other forms of art that can be created using AI.
How to create AI without coding? ›
- Amazon SageMaker. ...
- Akkio. ...
- Apple CreateML. ...
- DataRobot. ...
- Google AutoML. ...
- Google Teachable Machine. ...
- Microsoft Lobe.
- A simple tool for training image recognition algorithms.
To make an AI, you need to identify the problem you're trying to solve, collect the right data, create algorithms, train the AI model, choose the right platform, pick a programming language, and, finally, deploy and monitor the operation of your AI system.
What are the top 3 languages for AI? ›Python is the best programming language for AI. It's easy to learn and has a large community of developers. Java is also a good choice, but it's more challenging to learn. Other popular AI programming languages include Julia, Haskell, Lisp, R, JavaScript, C++, Prolog, and Scala.
Is C++ or Python better for AI? ›C++ is the most suitable platform for embedded systems and robotics, whereas Python is supported for high-level tasks like training neural networks or loading data that can only be used on certain platforms. Most of the recent developments in AI were done in Python and thus people assume that it is the best choice.
Does AI require programming? ›Technical Skills
The first skill required to become an AI engineer is programming. To become well-versed in AI, it's crucial to learn programming languages, such as Python, R, Java, and C++ to build and implement models.
Insert one image into SQL Server
This table will have an integer (int) id and the image column named img. The data type that we are going to use to store images is the varbinary(max). The INSERT statement inserts the value 1 as the id and then inserts the image named 1. png from the folder img in the c drive.
IMAGE is a variable-length data type that can store binary data. IMAGE can hold up to 2GB of data. Note: IMAGE has been deprecated and will be removed in some future release of SQL Server. Use NVARCHAR(Max) instead.
How to store multiple images in SQL database? ›- Create an HTML form to select multiple images and files.
- Display multiple images preview before sending to server.
- Implement necessary validation before uploading.
- Save files in the local directory and store the uploaded file path in the database.
One method is to store the images as binary data, also known as BLOB (Binary Large OBject) data. This involves converting the image file into a binary format and then storing it directly in the database.
How to display image stored in SQL Server? ›How to view images stored in your database Start SQL Image Viewer and connect to your database. For SQL Server databases, tables containing blob columns will be highlighted in green in the list of database objects. Write the query to retrieve your images, and execute the query.
What is the best way to store images? ›
- Don't Rely on Storing Images on Memory Cards. ...
- Store Your Photos on External Hard Drives. ...
- Backup Your Photos on the Cloud. ...
- Save Your Photos as Email Attachments. ...
- Go Old School and Burn Your Photos to CD. ...
- Print Your Favorite Photos and Put Them on Display.
By the help of PreparedStatement we can retrieve and store the image in the database. The getBlob() method of PreparedStatement is used to get Binary information, it returns the instance of Blob.
How to create database for image processing? ›- Prepare the Data for Filemaker.
- Prepare Filemaker for the Data.
- Import Data to Filemaker.
- Prepare Images.
- Embed Images in Filemaker.
- Export Data from Filemaker.
- Prepare Data for MySQL.
- Prepare MySQL for Data.
- Open a Database Diagram. Note. Only the owner of the diagram or a member of the db_owner role of the database can open the diagram.
- Right-click a blank area and choose Copy Diagram to Clipboard. The image of the entire Database Diagram is now in the system Clipboard.
PostgreSQL and MySQL are both Relational Database Management Systems (RDBMS), which have been the choice management systems for many robotics companies for decades.
Does AI use a database? ›AI databases are a fast-emerging database approach dedicated to creating better machine-learning and deep-learning models and then train them faster and more efficiently. AI databases integrate artificial intelligence technologies to provide value-added services.
Should I learn SQL before machine learning? ›If you want to get into domains like software engineering or machine learning, you need to learn python first. If you want to get into domains like data analytics and data science, you can choose to learn SQL first.
Is SQL a machine language? ›According to Webopedia, “a programming language is a vocabulary and set of grammatical rules for instructing a computer or computing device to perform specific tasks.” SQL is definitely a programming language given this definition.
What programming language does SQL use? ›The SQL standard defines SQL/JRT extensions (SQL Routines and Types for the Java Programming Language) to support Java code in SQL databases.
Is SQL Server a virtual machine? ›SQL Server on Azure Virtual Machines enables you to use full versions of SQL Server in the cloud without having to manage any on-premises hardware. SQL Server virtual machines (VMs) also simplify licensing costs when you pay as you go. Azure virtual machines run in many different geographic regions around the world.
What programming language does SQL Server use? ›
| Developer(s) | Microsoft |
|---|---|
| Initial release | April 24, 1989, as SQL Server 1.0 |
| Stable release | SQL Server 2022 / 16 November 2022 |
| Written in | C, C++ |
| Operating system | Linux, Microsoft Windows Server, Microsoft Windows |
Although it may not seem like it, Artificial Intelligence systems can be built even without a database. However, similar to other software applications, even Artificial Intelligence requires a form of data storage. There are numerous types of storage, and presently database is one of the most commonly used storage.
How is AI used to collect data? ›This is done by using software to gather data from online data sources automatically. Some methods of automating data collection include; Web-scraping, web crawling, using APIs, etc.
What is the best source of data for AI system? ›Primary and Secondary Sources of Data
Primary data sources can include surveys, observations, questionnaires, experiments, personal interviews, and more. The data from ERP (Enterprise Resource Planning) and CRM (Customer Relationship Management) systems can also be used as a primary source of data.
How Long Does it Take to Learn SQL? Because SQL is a relatively simple language, learners can expect to become familiar with the basics within two to three weeks.
What is the best language to pair with SQL? ›Python and SQL are a match made in heaven, so we've given them the honor of first place on our list. Python is one of the world's most popular scripting languages, one of the easiest to learn, and one of the best for data analysis and visualization.
How much time it ll take to learn SQL? ›You can learn SQL in as little as two to three weeks. However, it can take months of practice before you feel comfortable using it. Determining how long it takes to learn SQL also depends on how you plan to use it.
What are the 4 main SQL languages? ›- Data definition language. Data definition language (DDL) refers to SQL commands that design the database structure. ...
- Data query language. ...
- Data manipulation language. ...
- Data control language. ...
- Transaction control language.
No, SQL isn't dying. There are many very capable NoSQL stores that do their jobs very well, supporting massive scale out with low costs. However, they don't replace high-quality SQL-based stores—they complement them. One day, SQL might be a thing of the past.
Is SQL easier than coding? ›Because of its narrow application domain, SQL is relatively easier to learn than most general-purpose programming languages. We encourage you to follow DataCamp's SQL Fundamentals track, where we take you from being a beginner to a pro in SQL with 5 courses in just 21 hours.