Generate 3D images with ComfyUI and Artificial Intelligence
A course by Carlos DordellyGraphic designer
A course by Carlos Dordelly, Graphic designer
Generate 3D rendering iterations with ComfyUI, control nets, and AI techniques for detailed images.
Discover how to boost your 3D rendering skills with ComfyUI, a tool that will allow you to generate multiple iterations of your projects in a practical and effective way. Through innovative techniques, you'll learn to guide image generation with artificial intelligence, optimizing your creative processes. Begin with an introduction to installing and customizing ComfyUI, where you'll explore the configuration of essential nodes and useful commands. The integration of templates will facilitate your workflow, avoiding starting from scratch and providing a didactic and efficient approach.
The course progresses to the use of Control Networks, such as Depth and Kani, to direct artificial intelligence in the creation of your renders. Basic methods of image manipulation within ComfyUI will also be covered, allowing for the integration of rendering elements. Finally, techniques for scaling images using artificial intelligence will be presented, enriching the visual details of your projects. Ideal for those who want to explore new possibilities in 3D design, this course offers tools to transform your ideas into striking visual realities.
What will you learn in this online course?
8 lessons & 4 downloads
Basic exploration of the interface and nodes in ComfyUI
7 minutes, 5 seconds
Using Flux and Image-to-Image Techniques in ComfyUI
14 minutes, 32 seconds
ControlNet and depth guidance with FluxD
8 minutes, 58 seconds
ControlNet with Kani and use of custom LoRAs
10 minutes, 8 seconds
Final composition and upscaling of images with Flux
7 minutes, 12 seconds
Final words
2 minutes, 25 seconds
What's included in this course?
You'll learn how to generate multiple 3D rendering iterations using ComfyUI, a tool that offers various techniques to guide image creation with artificial intelligence. With a brief introduction to its installation and configuration, you'll acquire the skills necessary to install custom nodes and explore templates that facilitate the creative process. You'll become familiar with concepts such as Control Networks and specific tools like Depth and Kani, which will allow you to significantly improve your rendering projects.
Additionally, the course teaches you how to manipulate images within ComfyUI, effectively integrating rendering elements into your compositions. You'll also explore how to scale images using artificial intelligence to recover or generate new details, thus enriching your visual projects. With these techniques, you'll enhance your creative and technical skills in 3D design, achieving more impactful and professional results.
Recommended software & tools for this course
What is this course's project?
The course project involves learning how to generate multiple iterations of 3D renders with ComfyUI, using artificial intelligence techniques to guide image creation. The course will explore the installation of custom nodes, the use of Control Networks, and basic image manipulation.
Who is this online course for?
3D designers and digital art enthusiasts who want to learn how to generate multiple rendering iterations using ComfyUI with artificial intelligence. Ideal for those looking to integrate AI techniques, improve workflows, and explore new creative possibilities in their visual projects.
Requirements and materials
No extensive prior knowledge is required, but a basic understanding of 3D and file manipulation is helpful. You'll need a computer with a powerful graphics card, at least 8GB of VRAM, internet access, and the ComfyUI and Git software installed.
Reviews
- 8 months ago
If you're looking for a starting point in AI, this is it. Highly recommend!"
Content
Generate 3D images with ComfyUI and Artificial Intelligence
- Introduction to ComfyUI and AI-driven rendering
- Installing ComfyUI and initial configuration
- Basic exploration of the interface and nodes in ComfyUI
- Using Flux and Image-to-Image Techniques in ComfyUI
- ControlNet and depth guidance with FluxD
- ControlNet with Kani and use of custom LoRAs
- Final composition and upscaling of images with Flux
- Final words
- Final project
What to expect from a Domestika course
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FAQs
ComfyUI is a visual node-based interface that lets you create, manipulate, and optimize images and 3D renders using AI, enabling advanced and customizable workflows.
This is an intermediate-level course; basic knowledge of digital imaging, 3D workflows, or AI is recommended but not required.
A Windows PC with an Nvidia graphics card of at least 8 GB VRAM and enough storage space is recommended. You’ll also need to install Git and some additional tools like file decompressors.
The setup involves downloading the Portable package, installing Git, extracting files, organizing model and node folders, and configuring CUDA arguments if you have a compatible GPU.
You’ll learn how to install ComfyUI, manage AI nodes and models, build custom workflows, integrate 3D renders, control generation with ControlNet, and enhance images using advanced techniques like upscaling and masks.
Custom nodes extend ComfyUI’s capabilities by adding specific processes, control tools, and new workflows for advanced image generation and editing.
You can load workflow templates to kickstart projects quickly; these predefined setups speed up creation and let you tweak nodes to fit your needs.