Blender, the popular open source 3D computer graphics software, now incorporates AI technology to produce stunning visuals and effects. In the past, adding post-processing effects like AI ray tracing or denoising to renders necessitated expensive hardware and software investments.
Stability AI, a community-driven artificial intelligence company, recently unveiled Stability for Blender. This tool allows users to generate textures and videos inside Stable Diffusion -- its AI post-processing engine which powers its popular Texture Generator.
Blender can now use AI to create images and effects
Stability AI's Stable Diffusion AI art generator has recently been added to Blender, the free, open-source 3D modeling software. As part of their Stability for Blender add-on, users can now access their AI images and effects generator within the application itself.This free (opens in new tab) add-on allows users to quickly and easily create textures and videos within Stable Diffusion by applying AI post-processing effects to renders. It also features image editor integration as well as keyframing all properties for image generation.
The RTX-powered AI image generator can be used to craft a variety of images, from abstract art faces and cartoon canvas paintings to trippy portraits. It works quickly with an extensive library of AI models available; however, results may not always be perfect.
AI art generators
AI art generators offer an innovative alternative to traditional media for creating beautiful digital artworks. Artists of all skill levels can utilize them to craft unique, personalized pieces of digital artwork.Artists can utilize this plugin to craft textures, photography-style images, concept art and custom art pieces. Furthermore, they may generate AI-generated images for their main project.
Installing the plugin on Blender requires downloading an add-on called "Stable Diffusion for Blender."
Stable Diffusion is an image creation system that utilizes artificial intelligence to mimic natural selection. It's often employed to craft realistic works of art by using generative adversarial networks (GANs) and evolutionary algorithms.
Stability for Blender requires an API
Stability AI has recently released a tool for Blender that brings its suite of generative AI capabilities to the free 3D modeling software. With it, artists can generate images directly within the program using text descriptions as well as existing renders and textures.To use this tool, you need an API key and reliable internet connection. It doesn't require a dedicated GPU; it can run on any computer with the latest version of Blender installed.
Creatives could save time and money by forgoing the need to purchase a GPU for their workstation. Furthermore, it doesn't necessitate much technical skill or expertise to use, making it ideal even for inexperienced artists.
OpenAI’s DALL-E
OpenAI's DALL-E is an image generator that turns short text descriptions into visual representations. Utilizing advanced data science techniques, it has the capacity to produce truly innovative results by fusing together seemingly disparate objects in meaningful combinations.DALL-E works within a browser, opening in a new tab (or via API). It's extremely straightforward and intuitive to use.
To begin, simply write a prompt in the box or upload an image. DALL-E will then generate four 1024x1024 images to represent what you wrote.
DALL-E can create numerous variations of your image, such as merging two subjects to form a unique composition. Additionally, you have the option to 'inpaint' or 'outpaint' your picture by altering its contents or adding more layers.
POINT-E
The artificial intelligence research company behind ChatGPT and DALL-E has created a new tool that can create 3D images from simple instructions. Dubbed POINT-E, this system is now open source and free for anyone to use.Point-E instead of creating 3D objects from scratch utilizes RGB point clouds to capture an image's shape and texture. These point clouds are easier to synthesize, which speeds up the process; however, they often don't capture finer details of an object - a major drawback.
To combat this, the team developed an AI system that transforms point clouds into meshes. While it cannot yet create 3D objects from scratch, it can dramatically speed up the process.