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April 16, 2023 07:05 pm GMT

Generating Images from Text with C and Open AI DALL-E

With the use of .NET C#, we can develop a POC (Proof of Concept) that uses the Open AI DALL-E model to generate images from text input.

In this blog post, we will explore the steps to develop a C# Console Application using Open AI's DALL-E model to generate images from text.

Also, check out my blog with other articles --> https://rmauro.dev

What is DALL-E from Open AI

DALL-E can generate images of almost anything, from a yellow submarine to a pig with wings. It has been trained on a massive dataset of images and textual descriptions, allowing it to learn how to generate images from natural language input. In this article, we will explore how to integrate C# with DALL-E to generate images using code.

DALL-E Generated

Development with C

In this project we're going to use Visual Studio and C# with .NET 6 to create a Console Application.

You may need to do some tweaks if you intend to use another.NET version.

Step 1: Console Application and dependencies

Let's create our Console Application with C# and .NET 6 let's install the dependencies.

Project Name : ConsoleAppOpenAI.DALL_E

dotnet add Microsoft.Extensions.Http these are for loading configuration from JSON filesdotnet add Microsoft.Extensions.Configurationdotnet add Microsoft.Extensions.Configuration.Json this is optionaldotnet add Microsoft.Extensions.Configuration.UserSecrets

Commands to install the dependencies

Installed Dependencies

Step 2: IOpenAIProxy Interface

Within this interface, we'll expose only the methods to Generate and Download the images from Open AI.

namespace ConsoleAppOpenAI.DALL_E.HttpServices;public interface IOpenAIProxy{    // Send the Prompt Text with and return a list of image URLs    Task<GenerateImageResponse> GenerateImages(        GenerateImageRequest prompt,         CancellationToken cancellation = default);    // Download the Image as byte array    Task<byte[]> DownloadImage(string url);}

IOpenAIProxy.cs File

Step 3: Generate Image Models

Let's define our models using records. Records simplify the reading since they are only POCO classes.

namespace ConsoleAppOpenAI.DALL_E.HttpServices{    public record class GenerateImageRequest(        string Prompt,         int N,         string Size);    public record class GenerateImageResponse(        long Created,         GeneratedImageData[] Data);    public record class GeneratedImageData(string Url);}

Generate Image Models DTO

Step 4: Create an Open AI Account

To use the OpenAI API, we need to create an account on the OpenAI platform. The registration process is straightforward and can be completed in a few minutes.

We just need to visit the OpenAI website at https://platform.openai.com/overview.
Then click on the "Sign Up" button in the top right corner.
Click on the button to start the registration process.

Step 5: Set up the Configuration File / appsettings.json

To access the DALL-E model, we'll need to set up the Subscription Id and API key for our application.

Collect them from these menus:

Update the appsettings.json or secrets.json file with the values.

{  "OpenAi": {    "OrganizationId": "{Subscription Id goes here}",    "ApiKey": "{API Key goes here}",    "Url": "https://api.openai.com",    "DALL-E": {      "Size": "1024x1024",      "N": 1    }  }}

appsettings.json file
Don't forget to set Copy to Output Directory as Copy if newer for appsettings.json.

Step 6: Open AI HTTP Service Implementation

Create a class named OpenAIHttpService with a single constructor receiving IConfiguration and read the configuration we just set in place.

using ConsoleAppOpenAI.DALL_E.HttpServices;using Microsoft.Extensions.Configuration;using System.Net.Http.Headers;using System.Net.Http.Json;using System.Text.Json;namespace ConsoleAppOpenAI.DALL_E.Services;public class OpenAIHttpService : IOpenAIProxy{    readonly HttpClient _httpClient;    readonly string _subscriptionId;    readonly string _apiKey;    public OpenAIHttpService(IConfiguration configuration)    {        // reading settings from the configuration file        var openApiUrl = configuration["OpenAi:Url"] ?? throw new ArgumentException(nameof(configuration));        _httpClient = new HttpClient { BaseAddress = new Uri(openApiUrl) };        _subscriptionId = configuration["OpenAi:SubscriptionId"];        _apiKey = configuration["OpenAi:ApiKey"];    }    public async Task<GenerateImageResponse> GenerateImages(GenerateImageRequest prompt, CancellationToken cancellation = default)    {        throw new NotImplementedException();    }    public async Task<byte[]> DownloadImage(string url)    {        throw new NotImplementedException();    }}

Next should be the implementation of the GenerateImages() method:

public async Task<GenerateImageResponse> GenerateImages(GenerateImageRequest prompt, CancellationToken cancellation = default){    using var rq = new HttpRequestMessage(HttpMethod.Post, "/v1/images/generations");    var jsonRequest = JsonSerializer.Serialize(prompt, new JsonSerializerOptions    {        PropertyNamingPolicy = JsonNamingPolicy.CamelCase    });    //serialize the content to JSON and set the correct content type    rq.Content = new StringContent(jsonRequest);    rq.Content.Headers.ContentType = new MediaTypeHeaderValue("application/json");    // Including the Authorization Header with API Key    var apiKey = _apiKey;    rq.Headers.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);    // Including the Subscription Id Header    var subscriptionId = _subscriptionId;    rq.Headers.TryAddWithoutValidation("OpenAI-Organization", subscriptionId);    var response = await _httpClient.SendAsync(rq, HttpCompletionOption.ResponseHeadersRead, cancellation);    response.EnsureSuccessStatusCode();    var content = response.Content;    var jsonResponse = await content.ReadFromJsonAsync<GenerateImageResponse>(cancellationToken: cancellation);    return jsonResponse;}

Last the DownloadImage() method implementation:

public async Task<byte[]> DownloadImage(string url){    var buffer = await _httpClient.GetByteArrayAsync(url);    return buffer;}

Step 7: Consuming the APIs

Back to Program.cs file let's wire everything together and start calling the APIs to generate images.

using ConsoleAppOpenAI.DALL_E.HttpServices;using ConsoleAppOpenAI.DALL_E.Services;using Microsoft.Extensions.Configuration;using System.Reflection;Console.WriteLine("Starting commandline for DALL-E [Open AI]");var config = BuildConfig();IOpenAIProxy aiClient = new OpenAIHttpService(config);Console.WriteLine("Type your first Prompt");var msg = Console.ReadLine();var nImages = int.Parse(config["OpenAi:DALL-E:N"]);var imageSize = config["OpenAi:DALL-E:Size"];var prompt = new GenerateImageRequest(msg, nImages, imageSize);var result = await aiClient.GenerateImages(prompt);foreach (var item in result.Data){    Console.WriteLine(item.Url);    var fullPath = Path.Combine(Directory.GetCurrentDirectory(), $"{Guid.NewGuid()}.png");    var img = await aiClient.DownloadImage(item.Url);    await File.WriteAllBytesAsync(fullPath, img);    Console.WriteLine("New image saved at {0}", fullPath);}Console.WriteLine("Press any key to exit");Console.ReadKey();static IConfiguration BuildConfig(){    var dir = Directory.GetCurrentDirectory();    var configBuilder = new ConfigurationBuilder()        .AddJsonFile(Path.Combine(dir, "appsettings.json"), optional: false)        .AddUserSecrets(Assembly.GetExecutingAssembly());    return configBuilder.Build();}

With all of this, we should have a running POC integrating with DALL-E model.

Generate our very first Image

Here is the output of my first try.

Prompt: Wide and green garden with a lot of flowers, with sunflowers, and a small dog running around

Take a look at this beautiful image generated by our application and DALL-E.

DALL-E Generated

Conclusion

Integrating C# with DALL-E is a straightforward process that allows us to generate images programmatically.

By using Open AI's API, we can easily send textual descriptions and receive high-quality images in response.

This integration opens up many possibilities, such as generating images for data visualization, creating custom artwork, or automating image creation tasks. As DALL-E continues to improve, we can expect even more exciting applications in the future.

Source code at: https://github.com/ricardodemauro/OpenAILabs.Console

Posted at: https://rmauro.dev/generating-images-from-text-with-csharp-and-open-ai-dall-e/

Original Link: https://dev.to/rmaurodev/generating-images-from-text-with-c-and-open-ai-dall-e-2o7n

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