DeepArt, also known as deepart.io, is an online tool that uses machine learning and uses artificial intelligence to create digital images. The technology behind this tool is inspired by a neural algorithm that uses “Neural Style Transfer is called. This technique allows the aesthetic styles of one image (the “style image”) to be transferred to another image (the “content image”).

This is how DeepArt works:

• The user uploads two images: a “style image” that provides the artistic style they want to apply to the second image, and a “content image” that provides the structural information.
• The tool analyzes the style image to capture the specific artistic features that make it unique. This can include the specific color palette, brush strokes, or other visual elements.
• Then the tool analyzes the content image and applies the learned style characteristics to it. The result is a new image that combines the content of the content image and the style of the style image.
• DeepArt can be used by professional artists, designers, and photographers who want to experiment with new styles in their work, or just anyone who enjoys creating unique and artistic images.

The quality of the results can of course vary and also depends on the particular style and content of the selected images. Sometimes multiple attempts may be necessary to achieve the desired result.

Daz 3D is a 3D modeling tool specializing in human figures and animation. Known for its realistic rendering and versatility in depicting human forms, it is a popular tool for artists, designers, illustrators, and animators.

At the heart of Daz 3D is the Daz Studio software. Daz Studio allows users to create, customize and animate 3D characters. It offers a wide range of features, including the ability to modify individual body and facial features, adjust lighting and camera settings, and apply different textures and materials. In addition, the software also allows for rigging (skeleton animation technique) and posing of characters, making it particularly attractive for creating animations.

• Daz 3D also offers an extensive library of 3D assets including characters, clothing, props and environments. These assets can be purchased and downloaded to be used in Daz Studio, greatly simplifying the 3D modeling and animation process for users.

Using Daz 3D is relatively accessible, even for beginners, thanks to an intuitive interface and extensive learning resources provided by the company. It’s also worth noting that Daz Studio is free for personal and commercial use, although certain premium assets and extensions require payment.

Daz 3D is also compatible with other popular 3D software applications such as Maya, 3D Studio Max and Cinema 4D, making it a versatile tool in 3D modeling and animation.

Runway ML is a toolkit for artists, designers, and other creative professionals that makes machine learning more accessible and applicable to visual and interactive projects. It is an easy-to-use and creative tool for exploring Artificial Intelligence and machine learning that does not require extensive technical knowledge or programming skills.

Runway ML offers a wide range of functions and tools:

• Generative Models: With Runway ML, users can leverage generative models such as GANs (Generative Adversarial Networks) to create new images, text, and even 3D models.
• Image and Video Analysis: The tool provides image and video analysis capabilities, including object detection, face detection, mood analysis, and more.
• Integration with other tools: Runway ML can also be integrated with other software tools like Processing, Unity, p5.js and even hardware devices like Raspberry Pi.
• Export and share models: Users can easily export and share their models with others, facilitating collaborative work and the development of community projects.

Because Runway ML is based on the principle of machine learning, it improves over time and with increasing use. New models and features are constantly being added to enable users to take full advantage of the possibilities of artificial intelligence in their creative and technical projects.

Shutterstock, the renowned stock photo platform, has integrated an AI-powered image generation function into its existing system. This innovative feature has recently become available to all users.

This new offer was realized in cooperation with OpenAI using OpenAI’s Dall-E 2 image generator. The aim is for the generative AI to create images based on simple text input. The AI Image Generator is a component of Creative Flow, a suite of products designed to help customers edit and now create images.

Stable Diffusion, a deep learning text-to-image generator, is mainly for generating precise images based on text instructions. In addition, it can also be used in areas such as inpainting, outpainting, and image-to-image transformations. It is a development of the Compvis group at the LMU Munich and is based on a latent diffusion model, a special form of the deep generative neuronal network.

What distinguishes Stable Diffusion from comparable models is the public availability of its source code and the associated training data.

The Wombo Dream app, like many other generative art creation apps, uses at its core two artificial neural networks that work together to create the images. With Wombo Dream’s system, users are able to create art in a variety of different styles. In addition, the app offers the option of inserting a reference image, which Wombo Dream uses to align the artwork it creates. The generated images can also be converted into NFTs.

The application is easy to use and designed to be user friendly. Users can enter any name or term and choose from nine different art styles, including “Psychic”, “Pastel” or “Vibrant”. The finished artwork can then be named, downloaded and shared.

The Wombo Dream App allows users to let their imagination run wild. She can create fan-art style artworks from a wide variety of concepts, from humorous portraits of politicians and actors to images of sunsets.

DALL-E is an AI program by OpenAI, which was introduced in January 2021. It’s a variant of the GPT-3 model, specially trained to generate images instead of text.

Unlike typical image generation algorithms, which are often trained on a specific domain or type of images, DALL-E has been trained on a wide variety of images and can therefore generate a remarkable variety of images. It is able to represent concrete and abstract concepts in one image, even as it combines those concepts in ways that don’t occur in the real world.

• A distinctive feature of DALL-E is its ability to interpret natural language instructions and create images based on them. For example, if you ask DALL-E to “draw a two-headed kiwi bird”, it will attempt to generate an image that conforms to this unusual request.

The development of DALL-E is an important step in artificial intelligence research and development as it shows how advanced and versatile generative models can be. However, it also raises ethical and legal issues such as: B. Copyrights and the possibility that such technologies could be used to generate disinformation or fake.

Most of the free tools for AI image generation presented here are also available in a paid version, which then has a lot more to offer depending on the tool and purpose of use.

In any case, we wish you a lot of fun trying out these tools in advance.