Duration 4h 27m Project Files Included MP4
Title: FXPHD – AIF201 – Generative AI for VFX with ComfyUI & InvokeAI
Info:
This course offers VFX and visualization artists a deep and thorough understanding of the Stable Diffusion generative process by using the two most versatile node-based SD applications: ComfyUI and Invoke AI.
In this course you will learn how to build custom workflows for various tasks like generating seamless textures, creating elements for matte painting and compositing, or producing fully-textured 3D assets.
We will explore all of the building blocks of the SD generative process, as well as various models for photoreal imagery, tools like controlNets, preprocessors, IP Adapters, and techniques for inpainting and upscaling.
By helping you master ComfyUI and InvokeAI, this course provides a rich foundation that will allow you to design and build your own custom workflows from scratch and use generative AI tools as a helping hand in VFX and visualization.
Prior knowledge of generative AI, ComfyUI or InvokeAI is not required. Basic knowledge of Nuke, Maya and Photoshop recommended.
Eran Dinur is a VFX Supervisor (Marty Supreme, Hereditary, The Wolf of Wall Street, Uncut Gems), and author of The Filmmaker’s Guide to Visual Effects and The complete Guide to Photorealism.
Class Listing
Class 1: Introduction and Setup
We discuss the advantages (and challenges) of working with ComfyUI and InvokeAI and compare the two applications. We then set up a comprehensive environment for Comfy UI that facilitates the installation of complex custom nodes and their dependencies.
Class 2: Essential SD Building Blocks
We build our first generative workflow in ComfyUI, exploring the fundamental components of the Stable diffusion process (Checkpoint models, clips, samplers, latent noise, VAE decoder) and learning the functions of essential controls like CFG, seed and steps.
Class 3: Seamless Textures Tool: Part 1
We start putting together a dedicated workflow that can generate seamlessly tileable textures for 3D. We learn the function of various nodes in InvokeAI and how to use split prompts.
Class 4: Seamless Textures Tool: Part 2
We continue developing our texture generation tool by adding various controlNet nodes and preprocessors, allowing us to use other images as guides. We also look at the unique features of the SDXL checkpoint model.
Class 5: Using CG Elements as Guidance: Part 1
We jump between Maya, Nuke and ComfyUI to create a modern villa environment. We use the beauty, Z depth and normal passes to accurately guide the AI generation toward the desired composition and layout.
Class 6: Using CG Elements as Guidance: Part 2
We continue with the villa project, using Cryptomattes for regional prompting and IP adapters for lighting, style and mood.
Class 7: Generating 3D Assets Part 1
We begin building a comprehensive workflow for generating fully textured 3D models using the HunYuan model and wrapper nodes. We go over installation and dependencies and then build the image-to-mesh and de-lighting sections.
Class 8: Generating 3D Models Part 2
We continue our step-by-step workflow building with AI UV mapping, multi-camera setup, texture projections, unwrapping and final export of textured mesh, exploring tools such as the multi-view renderer and the CV2 Inpaint.
Class 9: Inpainting with InvokeAI
In this class we take a step back from node-based workflows and explore InvokeAI’s excellent layer-based inpainting interface, looking at different techniques for assisting with matte painting and compositing tasks.
Class 10: Segmentation and Upscaling Techniques
We wrap the course with a look at segmentation and image-to-language with the Florence model and then examine different techniques and tools for upscaling.
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