As the world continues to evolve, so does technology. One of the most recent technological advances that have taken the world by storm is the creation of non-fungible tokens (NFTs). NFTs are unique digital assets that are created and stored on a blockchain, making them one-of-a-kind and irreplaceable. One of the most popular uses of NFTs is in the creation of digital art, and the use of artificial intelligence (AI) has made it possible to generate stunning and unique pieces of art. In this article, we will take a look at our top 10 AI NFT generators that are currently available.
1. ArtBreeder
Artbreeder is a collaborative, machine learning-based art website that allows users to generate and modify images of faces, landscapes, and paintings, among other categories. It was created by Joel Simon in 2018 and is currently available for free.
Artbreeder uses the StyleGAN and BigGAN models to generate images. These models are trained on a massive dataset of images, and they are able to learn the underlying patterns of human faces, landscapes, and other objects. This allows Artbreeder to generate images that are both realistic and creative.
Users can create images on Artbreeder by uploading their own images or by using the website's pre-existing images. They can then modify the images by adjusting their genes. Genes are the underlying parameters that control the appearance of an image. By adjusting the genes, users can change the features of an image, such as its hair color, eye color, and facial expression.
Artbreeder is a powerful tool for creating and modifying images. It has been used by artists, designers, and hobbyists to create a wide variety of images, including portraits, landscapes, and abstract art. The website has also been used to create realistic images of people who do not exist, such as celebrities and historical figures.
Artbreeder is a free and open-source platform, which means that anyone can use it to create and share images. This has made the website a popular destination for artists and creatives who are looking for new ways to express themselves.
Here are some of the benefits of using Artbreeder:
It is a free and open-source platform.
It is easy to use.
It can be used to create a wide variety of images.
The images are realistic and creative.
The website has a vibrant community of users.
Here are some of the limitations of Artbreeder:
The images can be somewhat repetitive, as they are all generated by the same underlying models.
The website can be slow at times, especially when generating high-quality images.
The images are not always accurate, as they are generated by machine learning models.
DeepDreamGenerator is a free online image generator that uses deep learning to create surreal and dreamlike images. It was created by Alexander Mordvintsev, a software engineer at Google AI, and was first released in 2015.
DeepDreamGenerator works by applying a technique called "neural style transfer" to images. Neural style transfer is a machine learning algorithm that learns to identify the distinctive features of an image, such as its colors, textures, and shapes. It then uses this information to create a new image that combines the features of the original image with the style of another image.
In DeepDreamGenerator, the user can choose the original image and the style image. The style image can be any image, but it is often a painting or a photograph with a strong visual style. The user can also adjust the settings of the generator, such as the number of iterations and the level of detail.
The result of the neural style transfer process is a new image that is both realistic and dreamlike. The image will contain the features of the original image, but it will also have the style of the style image. The resulting images can be quite striking and often have a surreal or even psychedelic appearance.
DeepDreamGenerator has been used by artists, designers, and hobbyists to create a wide variety of images. It has also been used to create educational resources and to explore the potential of deep learning for image generation.
Here are some of the benefits of using DeepDreamGenerator:
It is a free and easy-to-use tool.
It can be used to create a wide variety of images.
The images are realistic and dreamlike.
The tool is open-source, so anyone can contribute to its development.
Here are some of the limitations of DeepDreamGenerator:
The images can be somewhat repetitive, as they are all generated by the same underlying algorithm.
The tool can be slow at times, especially when generating high-quality images.
The images are not always accurate, as they are generated by machine learning models.
Deep Art Effect is an artificial intelligence (AI)-powered software that allows you to transform your photos into works of art. It uses a variety of AI technologies to analyze your photos and apply different art styles to them. The software is available as a desktop app and a mobile app.
Features
A variety of art styles: Deep Art Effect offers a variety of different art styles to choose from, including the styles of famous artists such as Vincent van Gogh, Claude Monet, and Pablo Picasso.
Customizable results: You can experiment with different combinations of content and style images to create your own unique artistic images.
High-resolution images: Deep Art Effect can create high-resolution images, so you can print your artworks or use them for commercial purposes.
Easy to use: Deep Art Effect is a user-friendly software that is easy to learn and use. You can simply upload your photos and select the art style that you want to apply.
Deep Art Effect is available in two pricing plans:
Personal plan: This plan costs $9.90 per month and allows you to create up to 10 artworks per month.
Professional plan: This plan costs $29.90 per month and allows you to create unlimited artworks per month.
4. StyleGAN
Sure, here is a profile on StyleGAN:
StyleGAN is a generative adversarial network (GAN) that was introduced by Nvidia researchers in December 2018. It is a powerful tool for generating realistic and high-quality images.
StyleGAN is based on the Progressive GAN architecture, which means that it is trained on a series of increasingly larger images. This allows StyleGAN to learn the underlying patterns of images at different scales, which results in more realistic and detailed images.
StyleGAN also uses a technique called "style transfer" to generate images. Style transfer is a process of combining the style of one image with the content of another image. This allows StyleGAN to generate images that have the realistic appearance of a real person, but with the stylized features of a painting or a drawing.
StyleGAN has been used to generate a wide variety of images, including portraits, landscapes, and abstract art. It has also been used to create realistic images of people who do not exist, such as celebrities and historical figures.
Here are some of the benefits of using StyleGAN:
It can generate realistic and high-quality images.
It can be used to generate a wide variety of images.
It can be used to create realistic images of people who do not exist.
It is open-source, so anyone can use it or contribute to its development.
Here are some of the limitations of using StyleGAN:
It can be computationally expensive to train.
The images can be somewhat repetitive, as they are all generated by the same underlying model.
The images are not always accurate, as they are generated by machine learning models.
5. RunwayML
Sure, here is a profile on RunwayML:
RunwayML is a platform for sharing and deploying machine learning models. It was created by MIT researchers in 2019.
RunwayML allows users to create and publish pre-trained machine learning models for applications such as as generating photorealistic images or image captions. Users also can train models of their own and import new models directly from GitHub.
RunwayML has a number of features that make it a powerful tool for machine learning practitioners.
These features include:
A user-friendly interface that makes it easy to create and publish models.
A large library of pre-trained models that can be used for a variety of tasks.
The ability to train models on your own data.
The ability to deploy models to production.
RunwayML is a free platform, and it is open-source. This means that anyone can use it, and anyone can contribute to its development.
Here are some of the benefits of using RunwayML:
It is a free and open-source platform.
It is easy to use.
It has a large library of pre-trained models.
It allows you to train your own models.
It allows you to deploy models to production.
Here are some of the limitations of using RunwayML:
The models on RunwayML are not always accurate.
The platform can be slow at times, especially when deploying models.
The platform is not as well-known as some other machine learning platforms.
Google Muse AI is a text-to-image generative model that was released by Google AI in January 2023. Muse is trained on a massive dataset of text and images, and it can generate high-quality images of a wide variety of objects and scenes. Muse is also significantly faster than other text-to-image models, making it possible to generate images in real time.
Muse works by first converting the text prompt into a sequence of tokens. These tokens are then used to generate an image by a masked generative transformer. The masked generative transformer is a type of neural network that is trained to predict the missing tokens in a sequence. In the case of Muse, the missing tokens are the image pixels.
Muse has been shown to be able to generate images that are comparable in quality to those generated by other state-of-the-art text-to-image models. However, Muse is significantly faster than these other models, making it possible to generate images in real time. This makes Muse a valuable tool for a variety of applications, such as:
Image editing: Muse can be used to edit images by adding, removing, or modifying objects in the image.
Image generation: Muse can be used to generate new images based on a text prompt.
Art creation: Muse can be used to create new art pieces by generating images that are inspired by text prompts.
Muse has the potential to revolutionize the way that images are created and used. Muse is a powerful tool that can be used to create new and innovative images for a variety of purposes.
Here are some of the features of Google Muse AI:
Speed: Muse is significantly faster than other text-to-image models, making it possible to generate images in real time.
Accuracy: Muse can generate images that are comparable in quality to those generated by other state-of-the-art text-to-image models.
Flexibility: Muse can be used to generate images of a wide variety of objects and scenes.
Personalization: Muse can be used to generate images that are specifically tailored to a user's interests and experiences.
If you are interested in learning more about Google Muse AI, you can visit the Google AI website.
7. DALL-E
DALL-E 2 is a powerful AI image generator developed by OpenAI. It can create realistic images from text descriptions, including descriptions of objects, scenes, and people. DALL-E 2 is based on a large language model (LLM) called CLIP, which is trained on a massive dataset of text and images.
Features
Create realistic images from text descriptions: DALL-E 2 can create realistic images from text descriptions, including descriptions of objects, scenes, and people. For example, you could ask DALL-E 2 to create an image of a "cat riding a unicycle on a beach" or a "painting of a city in the style of Van Gogh."
Combine concepts and attributes: DALL-E 2 can combine concepts and attributes in its image generation. For example, you could ask DALL-E 2 to create an image of a "dog with the head of a cat" or a "painting of a sunset that looks like a painting by Bob Ross."
Edit existing images: DALL-E 2 can also be used to edit existing images. For example, you could ask DALL-E 2 to add a new object to an image, or to change the style of an image.
Limitations
Can be biased: DALL-E 2 is trained on a massive dataset of text and images, which means that it can be biased. For example, if the dataset contains more images of white people than black people, DALL-E 2 is more likely to generate images of white people.
8. Craiyon
Craiyon is a free AI image generator that uses large language models to create images from text descriptions. It is a fork of DALL-E mini, which was created by Boris Dayma. Craiyon is still under development, but it has already generated some impressive images.
Here are some of the features of Craiyon:
Can generate images from text descriptions: Craiyon can generate images from text descriptions. Simply type in a description of what you want to see, and Craiyon will generate an image.
Can generate images of a wide variety of objects and scenes: Craiyon can generate images of a wide variety of objects and scenes. You can ask Craiyon to generate images of anything from animals to food to landscapes.
Can generate high-quality images: Craiyon can generate high-quality images. The images generated by Craiyon are often indistinguishable from real images.
Free to use: Craiyon is free to use. You can generate as many images as you want without having to pay anything.
Here are some of the pros and cons of Craiyon:
Pros:
Can generate images from text descriptions
Can generate images of a wide variety of objects and scenes
Can generate high-quality images
Free to use
Cons:
Can be slow at times
The text descriptions can be difficult to get right
The images can be repetitive
9. Prisma
Prisma is an AI-powered photo editing app that uses neural networks to transform photos into paintings. The app has a library of over 300 different painting styles, including impressionism, cubism, and abstract expressionism. Users can upload any photo to Prisma and choose a painting style to apply. The app then uses AI to generate a new painting based on the photo and the chosen style.
Prisma was founded in 2016 by Alexey Moiseenkov and Oleg Gurskiy. The app was initially launched as a web app, but it was later released as a mobile app for iOS and Android. Prisma has been used by millions of people around the world to create unique and beautiful paintings.
Here are some of the features of Prisma:
A library of over 300 painting styles: Prisma has a library of over 300 different painting styles, including impressionism, cubism, and abstract expressionism. Users can choose any style to apply to their photos.
Easy to use: Prisma is very easy to use. Users simply upload a photo and choose a painting style. The app then generates a new painting based on the photo and the chosen style.
High-quality results: Prisma produces high-quality results. The paintings generated by the app are often indistinguishable from real paintings.
Free to use: Prisma is free to use. Users can upload as many photos as they want and generate as many paintings as they want.
Here are some of the pros and cons of Prisma:
Pros:
Easy to use
High-quality results
Free to use
Large library of painting styles
Cons:
Some painting styles may not work well with all photos
The app can be slow at times
There are some limitations on the size and resolution of photos that can be uploaded
Overall, Prisma is a great tool for transforming photos into paintings. The app is easy to use and produces high-quality results. If you are looking for a way to create unique and beautiful paintings, Prisma is a great option.
Here are some of the popular painting styles that can be used with Prisma:
Impressionism: This style is characterized by its soft, hazy brushstrokes and its use of light and shadow.
Cubism: This style is characterized by its geometric shapes and its angular perspective.
Abstract expressionism: This style is characterized by its use of bold colors and its expressive brushstrokes.
Pop art: This style is characterized by its use of bright colors and its playful imagery.
Surrealism: This style is characterized by its use of dreamlike imagery and its juxtaposition of unrelated objects.
Prisma is a great way to add a touch of creativity to your photos. With over 300 different painting styles to choose from, you can create unique and beautiful paintings that reflect your own personal style.
10. NeuralStyle art
NeuralStyle art is an online AI-powered tool that allows users to create stunning artworks by transforming their photos into paintings. The tool uses a technique called style transfer, which involves blending the content of one image with the style of another.
To use NeuralStyle, simply upload a photo and select a style image. The tool will then generate a new painting that combines the content of your photo with the style of the selected image. The results are often stunning, and the tool is a great way to create unique and personalized artworks.
Here are some of the features of NeuralStyle art:
Can transform photos into paintings: NeuralStyle art can transform photos into paintings using a technique called style transfer.
Can use a variety of style images: NeuralStyle art can use a variety of style images, including paintings, photographs, and even other artworks created by NeuralStyle art users.
Can generate high-quality images: NeuralStyle art can generate high-quality images, with a resolution of up to 15 megapixels.
Free to use: NeuralStyle art is free to use. You can create as many artworks as you want without having to pay anything.
Here are some of the pros and cons of NeuralStyle art:
Pros:
Can transform photos into paintings
Can use a variety of style images
Can generate high-quality images
Free to use
Cons:
Can be slow at times
The results can be unpredictable
The tool is not as user-friendly as some other style transfer tools
In conclusion, the use of AI has revolutionized the creation of digital art and NFTs. Our top 10 AI NFT generators listed above are just a few examples of the many platforms that are available for artists and creators to use. With the help of these platforms, artists can create unique and one-of-a-kind digital art that can be sold and traded as NFTs. As technology continues to evolve, it will be exciting to see what new and innovative ways artists will use AI to create digital art and NFTs.