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5 AI Plugins for Blender You May Have Missed in 2023

Updated: Jan 23



A depiction of an Artificial Intelligence surrounded by Blender AI plugins


Welcome to the cutting-edge world of AI-driven animation! As animators and creative professionals, we're always on the lookout for tools that can make our lives easier and our work more impressive. It's 2023, and Blender, our trusty open-source 3D creation suite, has become even more powerful, thanks to some incredible AI plugins. Now, let's be honest, keeping up with the latest tech advancements can feel like trying to herd cats in zero gravity - challenging, but certainly entertaining! So, buckle up as we dive into the "5 AI Plugins for Blender You May Have Missed." These plugins are not just about adding a new brush to your palette; they're about revolutionizing the way we create, animate, and bring our digital dreams to life. Whether you're a seasoned pro or just starting, these tools are set to turbocharge your creative process. Let's explore these AI wizards that are making Blender not just a tool, but a powerhouse of creativity!


AI Plugin Cozy-Auto-Texture

Created by @LeonardTorrin

 

AI Render is an innovative Blender addon that leverages the power of Stable Diffusion to create AI-generated images from text prompts, seamlessly integrated into your Blender scenes. Here's a detailed look at how it works:

How AI Render Functions

  • Integration with Stable Diffusion: AI Render utilizes Stable Diffusion, a cutting-edge AI technology, to generate images. This integration means you can create highly detailed and diverse AI-generated images directly within Blender, based on text prompts that describe the scene or concept you're envisioning.

  • User-Friendly: The addon is designed to be easy to use, without the need for running any complex code on your computer.

Key Features

  • Platform Compatibility: AI Render is compatible with Windows, Mac, and Linux, supporting Blender version 3.0.0 and above.

  • Animation Capabilities: Not only can you generate static images, but AI Render also allows you to render animations using Blender's tools. You can animate both the Stable Diffusion settings and the prompt text, offering immense creative flexibility.

  • Batch Processing: The addon can be used for batch processing, enabling you to try various settings or prompts, which is particularly useful for exploring different creative directions or iterations of a concept.

Installation and Usage

  • Installation: You can obtain AI Render via Blender Market or Gumroad. Additionally, it's available for free on the releases page on GitHub.

  • Easy Setup: After downloading, simply open Blender, navigate to Edit > Preferences > Add-ons > Install, and find the zip file to install the addon.

  • Local Installation of Stable Diffusion: AI Render supports running Stable Diffusion locally with the Automatic1111 Stable Diffusion Web UI, which can be set up following the instructions provided on the GitHub page.

Support and Resources

  • Demo and Tutorial: Watch this demo video and a tutorial, making it easier to understand the addon's capabilities and how to use it.

  • Prompt Help/FAQ: For assistance with prompt engineering and frequently asked questions, the addon's wiki page provides valuable resources and guidance.




AI Plugin AI Render

Created by @AIRender

 

AI Render is an innovative Blender addon that leverages the power of Stable Diffusion to create AI-generated images from text prompts, seamlessly integrated into your Blender scenes. Here's a detailed look at how it works:

How AI Render Functions

  • Integration with Stable Diffusion: AI Render utilizes Stable Diffusion, a cutting-edge AI technology, to generate images. This integration means you can create highly detailed and diverse AI-generated images directly within Blender, based on text prompts that describe the scene or concept you're envisioning.

  • User-Friendly: The addon is designed to be easy to use, without the need for running any complex code on your computer.

Key Features

  • Platform Compatibility: AI Render is compatible with Windows, Mac, and Linux, supporting Blender version 3.0.0 and above.

  • Animation Capabilities: Not only can you generate static images, but AI Render also allows you to render animations using Blender's tools. You can animate both the Stable Diffusion settings and the prompt text, offering immense creative flexibility.

  • Batch Processing: The addon can be used for batch processing, enabling you to try various settings or prompts, which is particularly useful for exploring different creative directions or iterations of a concept.

Installation and Usage

  • Installation: You can obtain AI Render via Blender Market or Gumroad. Additionally, it's available for free on the releases page on GitHub.

  • Easy Setup: After downloading, simply open Blender, navigate to Edit > Preferences > Add-ons > Install, and find the zip file to install the addon.

  • Local Installation of Stable Diffusion: AI Render supports running Stable Diffusion locally with the Automatic1111 Stable Diffusion Web UI, which can be set up following the instructions provided on the GitHub page.

Support and Resources

  • Demo and Tutorial: The GitHub page offers a demo video and a tutorial, making it easier to understand the addon's capabilities and how to use it.

  • Prompt Help/FAQ: For assistance with prompt engineering and frequently asked questions, the addon's wiki page provides valuable resources and guidance.

AI Render thus stands out as a highly accessible and versatile tool for animators and digital artists. It opens up new possibilities for creating detailed, AI-generated imagery within Blender, enhancing the creative process and expanding the boundaries of digital art and animation​​.




AI Plugin Dream Textures

Created by @Carson Katri

 

The third AI plugin for Blender we're discussing is Dream Textures, a tool that incorporates Stable Diffusion directly into Blender, allowing you to create textures, concept art, background assets, and more using simple text prompts. Here's how Dream Textures enhances your Blender experience:

Functionality of Dream Textures

  • Diverse Creations: Dream Textures enables the creation of textures, concept art, and background assets with a simple text prompt. This feature dramatically simplifies the process of generating complex and detailed textures.

  • Seamless Texture Option: It offers a 'Seamless' option to create textures that tile perfectly without visible seams, which is crucial for creating consistent and professional-looking surfaces.

  • Project Dream Texture: The plugin allows you to texture entire scenes with the 'Project Dream Texture' feature, adding depth and realism to images.

  • Animation Re-styling: You can re-style animations using the Cycles render pass, providing flexibility in altering the visual appearance of animations.

  • Local Model Running: Dream Textures runs models on your machine, allowing for faster iterations without service-induced slowdowns​​.

Installation and Usage

  • Easy Installation: Download the latest release and follow the provided instructions. A video tutorial is also available for a visual guide, especially helpful for macOS users who might encounter a quarantine issue with dependencies.

  • Usage Guides: The GitHub page offers quick guides for setting up and generating images, ensuring that users can easily grasp and utilize the tool's capabilities​​​​.

Advanced Features

  • Texture Projection: This feature lets you texture entire models and scenes, adding depth and realism to your creations​​.

  • Inpaint/Outpaint: Inpaint to automatically fix up images and convert existing textures into seamless ones. Outpaint allows for the expansion of an image in any direction, increasing its size​​.

  • Complex Effects with Render Engine: Use the Dream Textures node system to create intricate effects, enhancing the visual quality of your work​​.

  • AI Upscaling: Upscale your low-resolution creations by up to 4x, improving the quality and detail of your images​​.

Compatibility and Cloud Processing

  • GPU Compatibility: Dream Textures has been tested with CUDA and Apple Silicon GPUs, and it's recommended to have over 4GB of VRAM for optimal performance.

  • Cloud Processing Option: If your hardware is unsupported, DreamStudio can be used to process in the cloud, following the instructions in the release notes​​​​.

Support and Resources

  • Demo and Tutorial: The GitHub page offers a demo video and a tutorial, making it easier to understand the addon's capabilities and how to use it.

  • Prompt Help/FAQ: For assistance with prompt engineering and frequently asked questions, the addon's wiki page provides valuable resources and guidance.


Dream Textures thus stands as a highly versatile and powerful tool for Blender users, significantly streamlining the process of creating detailed and realistic textures and assets. Its integration of text-to-image AI technology directly into Blender opens up new creative possibilities, making it an invaluable asset for animators, graphic designers, and digital artists.




AI Plugin Control Net with Blender

Created by @Jin Liu

 

The fourth AI plugin for Blender that we're exploring is Control Net with Blender, a tool that significantly enhances image generation within Blender by integrating ControlNet. Here's a detailed overview of how it functions and how you can utilize it:

How Control Net with Blender Functions

  • Integration with ControlNet: Control Net with Blender uses ControlNet, a tool for generating images based on specific poses and drawings. This integration allows you to modify human rigs to create custom poses and generate images accordingly.

  • Use of Blender Compositor: The script uses Blender Compositor to generate the necessary maps, which are then sent to AUTOMATIC1111 for image generation.

  • Versatility in Image Generation: You have the flexibility to send various types of maps to AI, such as openpose, depth, canny, or bone maps, allowing for diverse and custom image outputs​​.

Installation and Usage

  1. Start A1111 in API Mode: Run the web UI with the --api command-line argument.

  2. Install Mikubill/sd-webui-controlnet Extension: This extension must be installed in A1111 along with downloading the ControlNet models.

  3. Scripting in Blender: Copy and paste the multicn.py code into your Blender scripting pane.

  4. Script Usage: Make necessary adjustments to either the script or Blender Compositor nodes before generating the output.

  5. Run Script Parameters: Before hitting "Run Script", you may want to modify various parameters in the script, such as the image output folder, maps to send to AI, and data for API.

  6. Render Images: Finally, hit F12 to render the images. You can also create 150 ControlNet segmentation colors materials by running seg.py​​​​​​​​.

Advanced Features

  • Customizability: The script offers extensive customizability options, allowing you to specify output folders, decide whether to use AI, and select which maps to send for AI processing.

  • Detailed API Parameters: The script allows for detailed parameter settings for the API, including prompts, image dimensions, sampler index, and more. This level of detail provides greater control over the final output.

Control Net with Blender is a game-changer for Blender users, particularly those looking to generate specific poses or detailed images based on custom inputs. Its integration with ControlNet and Blender's Compositor offers a unique combination of tools, opening new possibilities for creative and detailed image generation in animation and graphic design projects.




BlenderNeRF

Created by @Maxime Raafat

 

The final AI plugin for Blender we're exploring is BlenderNeRF, an exceptional tool designed for creating synthetic Neural Radiance Fields (NeRF) datasets within Blender. Here's an in-depth look at its capabilities and how you can use it:

Functionality of BlenderNeRF

  • NeRF Integration: BlenderNeRF makes the process of creating Neural Radiance Fields (NeRF) datasets in Blender straightforward and fast. NeRFs represent a 3D scene as a view-dependent volumetric object created from 2D images and their associated camera information, essentially reverse-engineering the 3D scene from training images using a neural network.

  • User Control: The plugin allows full control over the 3D scene and camera, making it a versatile tool for VFX artists, researchers, and graphics enthusiasts​​.

Advantages of Using BlenderNeRF

  • Efficiency: Rendering photorealistic scenes can be time-consuming, depending on complexity and resources. NeRFs can accelerate this process, but typically require complex camera information extraction. BlenderNeRF simplifies this, enabling renders and camera data to be obtained with a single click in Blender​​.

Installation and Usage

  1. Installation: Download the repository as a ZIP file, open Blender (version 3.0.0 or above), go to Edit > Preferences > Add-ons, and install the addon by selecting the downloaded ZIP file.

  2. Activation: Activate the addon in Blender under the Object: BlenderNeRF section​​.

Key Features and Methods

  • Data Creation Methods: BlenderNeRF includes three methods for creating NeRF training and testing data:

    1. Subset of Frames (SOF): Renders selected frames from a camera animation, using them as NeRF training data. It can render the full camera animation, ideal for large animations of static scenes​​.

    2. Train and Test Cameras (TTC): Utilizes data from two separate user-defined cameras for training and testing, suitable for evaluating NeRF models on different datasets​​.

    3. Camera on Sphere (COS): Renders training frames by sampling random camera views from a user-controlled sphere, providing diverse training data for the NeRF model​​.

  • User Interface and Properties: The addon's properties panel, found under 3D View > N panel > BlenderNeRF, includes options like Train, Test, Render Frames, and File Format, allowing for customizable dataset creation​​.

Running NeRF

  • Optimal GPU Utilization: For those with NVIDIA GPUs, installing Instant NGP can enhance the user experience. Alternatively, NeRF can be run in a COLAB notebook on Google GPUs for free with a Google account, making it accessible even for those without powerful hardware​​.

BlenderNeRF revolutionizes the way synthetic datasets are created within Blender, streamlining the process and offering immense control and flexibility. Its integration of advanced neural network technologies with Blender's intuitive interface makes it a valuable tool for a wide range of users, from professional VFX artists to research fellows and hobbyists.



In conclusion, the realm of Blender and AI integration has seen remarkable advancements in 2023. These tools are not just add-ons; they're gateways to a new era of creativity and efficiency in 3D animation and graphics. Whether you're a professional animator, a graphic designer, or just an enthusiast, these tools are designed to enhance your workflow, unleash your creativity, and help you stay ahead in the fast-paced world of digital art.


 

At Lightspeed Graphics, we recognize the immense potential these AI plugins hold for content marketing, 3D animation, and beyond. Embracing these tools means staying at the forefront of technology, ready to meet the ever-evolving demands of the creative industry. So, let's continue to explore, innovate, and create with these incredible AI animation tools at our fingertips. The future of digital art and animation is here, and it's more exciting than ever!



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