Stable Diffusion: Worldbuilding with 3D and AI Using MVDream - Part 1

Dive into a comprehensive tutorial on MVDream, a unique text-to-3D model, and explore its application in worldbuilding with 3D and AI. Learn about the theory, setup, and usage of MVDream repositories, focusing on creating a character's living space. Discover how to generate 3D objects from single images, export meshes, and refine them. Explore techniques for rendering 3D objects, using ControlNet guides, and generating textures with ComfyUI and Adobe 3D Sampler. Gain insights into the potential of AI-assisted worldbuilding and conceptual design for intellectual property development.

Intro
MVDream: what is it/what does it solve?
Dataset Overview
Camera settings explanation
Multiview perspective
Multiview 2D code dive
Camera embedding
Camera utils
Setting up MVDream 2D environment
Trying out the Gradio server
Start of MVDream-threestudio
Setting up Docker environment for MVDream-threestudio
Explaining why the gradio server for 3D is not usable
Generating NeRFs through CLI
Exporting meshes
Evaluating MVDream mesh fidelity
Second stage refinement and why I don't recommend it
Redesign from refinement = unusable
Showing some other NeRF to 3D mesh objects
Rendering out a 3D object
Using 3D renders as ControlNet guides
Worldbuilding overview context
Potential room designs
Potential chair designs
Generating albedo map texture in ComfyUI
Using Adobe 3D Sampler to convert albedo into PBR textures
Quick setup of converted PBR textures
Using same process to generate metal textures
Quick overview of using Cube by CSM to convert a picture to a mesh
Checking refined mesh from Cube
Closing thoughts