13 Best AI Art Generators in 2024 – Movavi (2024)

13 Best AI Art Generators in 2024

Quick summary

1. Image editing and photo restoration with AI: Movavi Photo Editor

   Download for Free

   Download for Free

   Download for Free

   Download for Free

2. Generating illustrations: Craiyon

3. Transforming text into visual art: Dream by WOMBO

Special pick: Movavi Photo Editor

While Movavi Photo Editor may not be classified as a dedicated AI art generator, it has embraced the power of artificial intelligence to enhance its functionality and offer creative solutions to its users. Movavi Photo Editor is a versatile image editing software that has evolved to include AI-powered features, making it an attractive option for those seeking to experiment with AI-enhanced photo editing. Here's how Movavi utilizes AI to elevate the photo editing experience:

• AI-powered enhancements. The software employs AI algorithms to automatically enhance various aspects of a photo, such as color balance, sharpness, and exposure.
• Object removal. Movavi Photo Editor's AI-driven object removal tool can intelligently detect and remove unwanted objects or blemishes from photos, seamlessly filling in the background to create a polished look.
• Portrait retouching. The software offers portrait-specific AI enhancements, allowing users to retouch portraits by smoothing skin, removing imperfections, and enhancing facial features.
• Background replacement. Movavi Photo Editor uses AI to simplify the process of changing backgrounds in photos.

Top AI art generators

Best AI art generators: comparison

What is an AI drawing generator?

An AI drawing generator is a computer program or tool that utilizes artificial intelligence (AI) algorithms to automatically create digital drawings, illustrations, or images. These AI-driven systems have gained popularity in recent years for their ability to produce most realistic artwork without human intervention, offering a range of applications and creative possibilities.

AI drawing generators typically work by employing deep learning techniques, particularly generative adversarial networks (GANs) or convolutional neural networks (CNNs). These algorithms analyze large datasets of existing images or artworks to learn patterns, styles, and visual elements. Once trained, the AI model can generate new drawings or images based on the knowledge it has acquired.

Top AI art generators are valuable tools for a variety of creative professionals, including graphic designers, illustrators, and digital artists. They can assist in the rapid creation of visuals, experimentation with different styles, and the exploration of new artistic horizons. While they are not a replacement for human creativity and skill, AI drawing generators have become powerful aids in the creative process, expanding the possibilities for digital art and design.

How AI art generators work

AI art generators operate through a complex interplay of algorithms and neural networks, enabling them to create visually compelling and often surreal artworks. Here's a simplified explanation of how these systems work:

• Data collection. AI art generators begin by collecting extensive datasets of existing artworks, images, or visual content. These datasets can include a wide range of artistic styles, genres, and themes, allowing the AI to learn from a diverse array of sources.
• Training neural networks. The heart of an AI art generator lies in its neural networks, typically deep learning models like Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs). These networks are trained on the collected data to understand the patterns, styles, and structures within the artwork.

Once trained, the AI art generator can produce new art by following a set of principles:

• Style transfer. For style-based generators, the AI combines the content of one image with the style of another. It dissects the content and style elements, then applies the artistic style to the content to create a fusion of the two.
• Random generation. Some AI art generators create entirely new art without specific inputs. They generate random noise and manipulate it through the learned patterns to produce abstract or imaginative pieces.
• Conditional inputs. Users can sometimes provide input or guidance to the AI generator, such as specifying colors, themes, or elements they want in the artwork. The AI then uses this input as a reference to create the desired output.
• Feedback mechanisms. In the case of GANs, there are two neural networks at play: the generator and the discriminator. The generator tries to create art that is convincing, while the discriminator evaluates the generated art against real art. This adversarial process encourages the generator to continuously improve its output.
• Iterative refinement. The AI art generator goes through numerous iterations, adjusting its output based on feedback and learning from its mistakes. This process refines the generated art, making it increasingly realistic or artistically appealing.
• Output and customization. Finally, the AI art generator produces the finished artwork, which can often be customized further by users. Artists may have the option to tweak various parameters, such as colors, shapes, or styles, to achieve the desired artistic effect.

Why you should use AI art generators

The best AI drawing generators offer a range of advantages that have significantly impacted the world of digital art and creative expression. Here are some key advantages of private use of AI art generators:

Efficiency and speed

AI art generators can produce artwork quickly and efficiently. They automate repetitive tasks, such as generating background elements or applying consistent styles, which can save artists valuable time and energy.

Inspiration and creativity

AI-generated art can serve as a wellspring of inspiration for artists. It can generate novel ideas, unique compositions, and styles that artists may not have considered on their own. This infusion of fresh perspectives can invigorate and expand an artist's creative horizons.

Accessibility

AI art generators make art creation more accessible to a broader audience. They enable individuals with varying levels of artistic skill to engage in creative endeavors and produce visually appealing art, reducing the barriers to entry for digital art creation.

Consistency

AI ensures a high level of consistency in artwork, particularly when replicating specific styles or themes. This can be valuable for creating cohesive visual elements in design projects, branding, or series of artworks.

Experimentation

Artists can experiment with different styles and techniques by using AI art generators as a starting point. They can easily explore diverse artistic directions, from traditional to avant-garde, without committing extensive time and resources.

Customization

Many AI art generators allow users to customize generated artwork. Artists can fine-tune parameters, add personal touches, or integrate AI-generated elements into their work, fostering a sense of collaboration between human creativity and AI technology.

Art restoration

AI has shown promise in the restoration of damaged or deteriorated artworks. These systems can analyze historical data about an artwork and reconstruct missing or damaged portions, helping to preserve and restore cultural heritage.

Commercial applications

AI-generated art has found commercial applications in industries such as advertising, gaming, and entertainment. It can be used to create visual assets, concept art, or immersive digital environments.

What different AI art generator models offer

Generative Adversarial Networks (GANs)

GANs consist of two neural networks, a generator, and a discriminator. The generator creates art, while the discriminator evaluates it. They engage in a continuous feedback loop, with the generator striving to produce art that is indistinguishable from real art.

Advantages: GANs excel at creating highly detailed and realistic art. They are often used for style transfer, where they mimic the artistic style of famous painters or generate photorealistic images.

Variational autoencoders (VAEs)

VAEs are based on encoding and decoding techniques. They compress input data (art) into a latent space and then decode it back into an image. This process allows for generating new art by sampling from the latent space.

Advantages: VAEs are known for their ability to create diverse and abstract art. They can generate unique interpretations of styles and concepts.

Neural style transfer (NST)

NST algorithms separate content and style from an image. They then apply the style of one image to the content of another, resulting in a new artwork that combines the two.

Advantages: NST is excellent for merging different artistic styles. It allows artists to experiment with diverse visual aesthetics and create hybrid artworks.

Recurrent neural networks (RNNs)

RNNs are designed to work with sequences of data, making them suitable for generating sequential art, such as animations or comics. They can predict the next element in a sequence based on the previous ones.

Advantages: RNNs excel in creating art that tells a story or evolves over time, making them ideal for dynamic and narrative-driven artworks.

Transformers

Transformers are versatile models originally designed for natural language processing but adapted for image generation. They excel in capturing long-range dependencies and context in images.

Advantages: Transformers are known for their ability to generate highly detailed and context-aware art. They are suitable for creating intricate and complex compositions.

DeepDream

DeepDream is a technique that enhances and exaggerates patterns and features in images. It amplifies specific visual elements, often resulting in dreamlike and surreal art.

Advantages: DeepDream is prized for its ability to produce abstract and surrealistic art, making it a popular choice among artists seeking unconventional and mind-bending visuals.

Choosing the best AI art generator: tips

What is the best AI art generator? Choosing a good AI art generator can be an exciting but challenging endeavor, given the plethora of options available. To help you make an informed decision, here are some key considerations to keep in mind while choosing tools available on websites or downloadable for a PC.

• Artistic style and output

Determine the style and type of art you want to create or explore. Different AI art generators excel in various artistic styles, from realism to abstraction, so choose one that aligns with your artistic vision.

• Ease of use

Evaluate the user-friendliness of the AI art generator. Look for tools with intuitive interfaces and clear instructions, especially if you're a beginner.

• Customization options

Assess the degree of customization the AI art generator offers. Some platforms allow you to adjust parameters, add personal touches, or fine-tune the generated artwork to better align with your creative vision.

• Quality and realism

Gauge the quality and realism of the generated art. Some AI models excel in producing highly detailed and lifelike artwork, while others focus on abstract or stylized output.

• Output resolution

Check if the AI art generator provides output in high-resolution formats suitable for your intended use, whether it's for print, online sharing, or other purposes.

• Training data and diversity

Investigate the diversity of the training data used by the AI model. Models trained on a broad range of artistic styles and genres tend to offer more versatility in their output.

• Community and support

Look for AI art generators with active user communities or robust customer support. These resources can be invaluable for troubleshooting issues and seeking inspiration or assistance.

• Cost and pricing model

Consideration: Consider the pricing structure of the AI art generator. Some platforms offer free trials, subscription models, or one-time purchase options. Ensure that the pricing aligns with your budget and intended usage.

• Integration and compatibility

Check if the AI art generator integrates with other software or platforms you use. Compatibility with popular design and editing tools can streamline your creative workflow.

• Ethical and legal considerations

Consideration: Be mindful of any ethical or legal considerations related to the use of AI art generators. Ensure that you have the rights to use, modify, and distribute the generated artwork as needed.

• Feedback and reviews

Read user reviews and seek feedback from other artists who have used the AI art generator. Real-world experiences can provide valuable insights into the pros and cons of a particular tool.

• Future updates and development

Research the development roadmap of the AI art generator's creators. Look for platforms that are actively maintained and regularly updated to ensure ongoing support and improvements.

By carefully considering these factors, you can select the AI art generator that best aligns with your artistic goals, technical requirements, and creative preferences, enabling you to embark on a rewarding journey of AI-enhanced artistry.

Have questions?

If you can’t find the answer to your question, please feel free to contact our Support Team.