Artificial IntelligenceGenerative AI

How To Develop an AI Art Generator App Like Imagine

how-to-develop-ai-art-generator-app-like-imagine

With the significant rise of Generative AI in the last few years, businesses are showing keen interest in developing AI art generator apps that create real-like-looking images. And the best part is, these AI art generators only use text-based prompts to design an image of your choice. 

Among the many available in the market, there is a popular AI art generator app known as Imagine that many people use to design and create images, as per their preferences. 

Thus, if you are someone who wants to develop an AI art generator app like Imagine, this blog is a must-read. Here, we have provided a proper roadmap to assist you in the AI Art Generator App development journey. 

So, without any further ado, let’s get started with some latest statistics. 

Latest Statistics for AI Art Generator App Development 

Below are some of the latest statistics depicting the market value of AI art generator apps and software. 

Source: Market Research

  • The Generative AI in art market size was valued at $212 million in 2022, and it is predicted to be worth $5840 million by 2032, growing at a CAGR of 40.5% from 2023 to 2032.
  • North America region dominates the AI image generator market with a revenue share of 36.% in 2022, and it is still growing. 
  • The growing popularity of NFTs drives the use of AI art generators to create unique and exclusive digital art and collectibles. 
  • The advertising industry uses the AI art generator apps and software the most (27.5%), followed by the fashion sector in the USA. 
  • Imagine, the text-to-image AI art generator app has over 10M+ downloads on Playstore in 2023, and the number is growing. 

By evaluating the above-mentioned statistics, it is clear that the market of AI art generator apps like Imagine is very promising, and it will grow more in the coming years. 

How Does Imagine AI Art Generator Work

Imagine is a text-to-image AI art generator application that helps to create appealing and aesthetically pleasing images using text-based prompts. It leverages techniques such as Natural Language Processing (NLP) and Generative Adversarial Networks (GANs) to create images from text prompts provided by the user.

The AI art generators similar to Imagine are trained using pre-defined data sets, such as existing artworks, images, paintings, etc., during the development stage. After training, the AI art generators become capable of identifying patterns and relationships within the data, through deep learning techniques, and produce unique art images in response to the prompts given.

Now that you know the workings of AI art generators, let’s move forward and explore the development process of a custom AI art generator like Imagine. 

Development Process of AI Art Generator App Like Imagine

Here is the development guide to build a custom AI art generator application similar to Imagine. 

  1. Pre-Development Research

Before developing an AI art generator app similar to Imagine, it is crucial to deeply research the market, competitors, technology stack, target userbase, and top Generative AI development companies that can be your professional tech partner on your AI art generator app development journey. 

  1. Design the AI Art Generator App

Post research, design your AI art generator app like Imagine with the assistance of designers. Create the app’s outline, including features and functionalities you want to integrate into your app.

  1. Gather Training Data 

The working of AI art generators highly depends on the data quality used for its training. Thus, it is important to collect a large dataset of images that represent a wide range of artistic styles. 

Along with this, you need to ensure your dataset is diverse and contains different genres, artistic techniques, artists, and more. 

  1. Select the AI Techniques 

There are various AI techniques used in different AI art generators to produce art images. Some popular AI techniques are Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models. 

While selecting any of these techniques, it is crucial to keep the working of the AI art generator app aligned with your business goals. Furthermore, you need to choose the appropriate frameworks and libraries like TensorFlow or PyTorch when implementing these techniques. 

  1. Develop the AI Art Generator App Like Imagine 

After choosing the appropriate AI technique, develop an AI art generator app like Imagine. With your Generative AI mobile app developers, design and implement the neural network architecture for your AI model. 

Afterward, train the model using the gathered training data and fine-tune the model to improve performance and generate high-quality images. 

  1. Integrate Natural Language Processing Techniques 

For generating text-to-image artwork, it is essential to add Natural Language Processing techniques to process user prompts. Natural Language Processing helps the AI art generator model to understand and interpret text-based prompts given by the users. 

  1. Build the UI 

Once you integrate the NLP techniques, develop an intuitive user interface for the AI art generator app like Imagine for users to enter text prompts and view generated images. 

Remember to keep the UI simple and easy to navigate, so that your users can easily use your AI art generator mobile application. 

Additionally, you must add features for customizing artistic styles, adjusting parameters, such as lightning, tones, brush strokes, etc., and saving or sharing generated results. 

  1. Implement Backend Infrastructure

Post UI development, set up the necessary backend infrastructure, like dedicated servers or serverless computing for hosting and serving the AI model. Moreover, you can use Cloud-based infrastructure as it provides numerous benefits, such as cost-effectiveness, scalability, security, and more.  

  1. Testing and Quality Assurance

The Testing and Quality Assurance stage is crucial to ensure your AI art generator mobile application similar to Imagine is bug-free and delivers the best results. 

Thus, you can test its functionalities by entering prompts to generate various types of high-quality art images. Also, you can release a Beta version of your AI art generator to test it among a limited number of users and gather feedback regarding the same. 

Afterward, you can make essential changes in your Generative AI application based on the user feedback you receive. 

  1. Launch Your AI Art Generator Application

After testing your Artificial Intelligence art generator app and making the necessary changes, launch your application for public use. You can publish your app on Playstore and Appstore from where your users can download and use your AI art generator app like Imagine. 

Alongside this, consider licensing arrangements for any proprietary algorithms or technologies used in the app and ensure compliance with copyright laws when using training data and generating artwork.

Therefore, this is the development process you can use to develop an AI art generator app similar to Imagine. If you require professional expertise to build your app, you can contact the Quytech team, and we will gladly assist you in your AI art generator application development. 

Top Features to Integrate in An AI Art Generator App Similar to Imagine 

Features are an essential part of any AI art generator mobile app that enhances user experience, allows users to generate the best and unique AI art images using prompts, and makes your AI-driven art generator application stand out in the market.  

Thus, let’s talk about some of the best features you can add to an AI art generator app like Imagine:

  1. Easy SignUp and Login 

While building an AI-powered art generator similar to Imagine, it is crucial to understand that your audience wants a seamless signup and login experience. 

If you ask for too many irrelevant details, it might irritate them, and they would leave your app. Therefore, always keep the signup and login process easy with minimal details such as name, email, phone number, etc. 

Moreover, you can also provide users with the experience of signup and logins using their social media accounts.

  1.  User Interface 

If you research all the leading AI art generators, including Imagine and others, you will notice that one thing common in all – and that is a simple and intuitive user interface

By keeping the interface simple, you not only let users use your AI art generator application easily but also ensure to retain them and use it again and again. After all, who wants to use an app that’s user interface is complicated?

  1. Advanced Machine Learning Techniques 

All the AI image creators use advanced machine learning techniques to understand the prompts given by the users and produce high-quality, visually appealing images. 

Therefore, you also need to leverage machine learning techniques, such as deep learning and complex neural networks, to create appealing AI images that users appreciate. 

Moreover, you can consult a top machine learning development firm about advanced machine learning techniques and algorithms for your AI art generator app development. 

  1. Prompting 

Imagine is a text-based Artificial intelligence-enabled art generator that uses text prompts to generate unique art images. Hence, if you are developing a similar application and still stand out from the competition, you can provide your users with various prompting ways for their convenience.

These prompting can include voice-based prompting, in which a user can give a prompt using voice commands, or reference image-based prompting, in which a user can upload a reference image and give prompts like, “ create an image like this but use a different theme, strokes, lighting, etc.” 

  1. Token Generation 

In times of rising demand for trading NFTs (Non-Fungible Tokens) on the NFT marketplaces, you can integrate the Token Generation feature to allow your users to tokenize the AI art that they create using your app, and sell them in the marketplaces on the Blockchain network as an NFT. 

This way, you can allow your users to generate extra income and ensure that they use your app often. 

But here is the advice to consult the top Blockchain development company in the USA to learn about the rules and regulations related to NFT trading, the Minting process, taxes and platform charges, and more, before proceeding further.  

  1. Social Media Sharing 

People love to share their achievements on social media networks, such as Facebook, Instagram, Pinterest, Twitter, and more. So, you can add the social media sharing feature to your AI-driven art generator app like Imagine, enabling users to share their AI-generated artwork on their social media handles.

  1. Range of Artistic Styles, Filters & More 

AI art generators like Imagine offer a wide range of artistic filters, painting styles, shades, colors, exposure, lighting, brush strokes, and more. Similarly, you can also provide your users with a variety of artistic filters, painting styles, and more, to enhance their final AI-generated artwork. 

With these advanced features, you can enhance the user experience of your AI-art generator mobile application similar to Imagine and make a unique place in the crowded market. 

Technology Stack For Developing a Custom AI-Art Generator 

Choosing the right technology stack is crucial for building a custom AI art generator similar to Imagine, Midjourney, Jasper, and more. Hence, here we have given the basic tech stack for developing a custom AI-art generator which you can leverage to build your application. 

  1. Python: The primary programming language for building the AI model and the overall application logic.
  1. TensorFlow: A commonly used Deep learning framework for building and training neural networks.
  1. Generative Adversarial Networks (GANs): It is used by top Generative AI app developers to equip the app to generate realistic-looking images from random noise.
  1. Flask: A popular web framework for creating the backend server to serve the generated art.
  1. HTML/CSS/JavaScript: For designing and developing the user interface.
  1. OpenCV: It is a computer vision library used for image processing tasks and handling image data.
  1. Scikit-learn: Developers use this machine learning library for additional pre-processing or post-processing tasks if required.
  1. MongoDB/SQLite: Well-known databases used for storing metadata, user preferences, or other relevant information.

This is the basic technology stack you can use to develop a personalized AI-powered art generator. 

How to Monetize An AI-Art Generator App? 

Developing an AI-enabled art generator app involves a lot of time, resources, human efforts, etc. And as a business, there will be no point in not getting returns for the investment you make in building the app. 

Thus, it is important to monetize the AI-art generator, and the following are some popular ways to monetize it. 

  1. Freemium

Using the Freemium monetizing strategy, you offer your users the basic features of an AI art generator for free and charge them for the premium features. This strategy is common and can be found in most popular AI art generators like Imagine, Canva, Jasper, etc. 

  1. Subscription

It is another monetizing strategy you can use to make money from your AI-art generator. As the name suggests, your users need to buy a subscription to use your application. This strategy works well when your AI art generator is well-known in the market and has a large user base who wants to use your app. 

  1. Commission

Remember about the Token Generation feature in the previous sections? This monetizing strategy will work when you integrate that particular feature into the app. 

When your users trade their artwork in the NFT marketplace, you can charge a percentage of the total transaction amount as a commission. This way, you can generate revenue whenever your users trade the image created by your AI art generator. 

So, these are some strategies for monetizing an AI art generator application. 

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Conclusion 

AI art generators like Imagine are revolutionizing the overall art industry. With some prompts and machine learning capabilities, the art generator produces an art image that looks as if it was created by a human.

In the coming years, AI-enabled art generators like Imagine will get more advanced and will be in demand not for only the art industry, but also for various industry verticals, such as marketing, education, entertainment, journalism, interior designing, and more. 

Thus, it is the right time to invest in AI-powered art generator development. Likewise, if you require technical assistance to develop the AI art generator, you can contact Quytech, the top Generative AI development company in India and USA. 

At Quytech, you will get the following benefits that are difficult to get all in one place:  

  • In-depth consultations with Generative AI experts
  • Team of skilled developers with 25+ years of experience in IT.  
  • Cutting-edge technologies that enhance the performance of the AI art generator and the experience of your users. 
  • Best-in-class tools and frameworks to uplift the overall quality of your AI art generator.
  • Post Development support and maintenance to ensure your AI art generator stays relevant for a long time. 

So, why wait anymore? Reach out to our experts now. For more information, you can visit our website: www.quytech.com