Generate 3D images with ComfyUI and Artificial Intelligence

Overview

“You'll discover how to use ControlNet with FluxD to guide your imagery using depth maps. You'll load LoRa and Diffusion models, run workflows, and learn how to optimize prompts. You'll also explore embedded metadata and how to iterate from custom 3D scenes.”

In this video lesson Carlos Dordelly addresses the topic: ControlNet and depth guidance with FluxD, which is part of the Domestika online course: Generate 3D images with ComfyUI and Artificial Intelligence. Generate 3D rendering iterations with ComfyUI, control nets, and AI techniques for detailed images..

Partial transcription of the video

“Hello. in this video. we'll discuss what's known as Control Net. Control Net can be viewed as tools or plugins. if you will. that we can utilize within artificial intelligence models. These tools enhance the capabilities of AI systems. allowing for more precise control and customization of their functionalities. which. as the name suggests. provide us with greater control to direct and manage outcomes the generation of artificial intelligence. thereby achieving results that are more controlled. stable. or consistent. as one might say. This allows for enhanced precision and reliability in ou...”

This transcript is automatically generated, so it may contain mistakes.

Course summary for: Generate 3D images with ComfyUI and Artificial Intelligence

• Level: Beginner
• 250 students
• 1 unit
• 8 lessons (59m)

• Category

  3D & Animation, Artificial Intelligence

• Software

  ComfyUI

• Areas

  3D & Motion Design with AI, 3D Design, 3D Modeling, Artificial Intelligence, Digital Design, Image Generation, Photo and Video Editing with AI, VFX