Start Here
Build your local AI studio from hardware and core AI stack through to creative workflows for image, video, Blender, Unreal, and more.
Choose Your Path
New to Local AI?
Start with the fundamentals: understand the hardware, software, and core concepts you'll need before building your local AI system.
Already Running Local AI?
Jump into advanced workflows, model deployment, MCP and agents, creative AI tools, automation, Blender, Unreal Engine, and production pipelines.
Building for Creative Production?
Explore practical AI workflows for image and video generation, Blender, Unreal Engine, MetaHuman, and other tools used in modern 3D and content production.
What We're Building
Local AI Studio documents the process of building a powerful, self-hosted AI production environment using open-source models and tools. The goal is to connect local AI with creative applications like ComfyUI, Blender, and Unreal Engine to create practical, automated production workflows.
The core system will eventually include:
A dedicated local AI server
Open-source LLMs and model runtimes
MCP servers and AI agents
ComfyUI for image and video generation
AI-assisted Blender workflows
AI-assisted Unreal Engine workflows
Automated creative production pipelines
Getting Started Roadmap
Follow these stages to go from a new local AI setup to a fully integrated creative production environment.
1. Plan Your Hardware
Choose the CPU, GPU, memory, storage, networking, and operating system that fit your AI workloads, creative applications, and budget.
2. Build the Core AI System
Install and configure the operating system, GPU drivers, model runtimes, and other foundational software needed to run AI locally.
3. Run Your First Local Models
Install and test open-source LLMs, understand model sizes and quantization, and learn how to choose models that fit your hardware and workloads.
4. Connect Tools with MCP & Agents
Connect your local AI models to tools and applications using MCP, then build agents that can access resources, execute tasks, and coordinate multi-step workflows.
5. Add Creative AI Tools
Add image, video, and audio generation tools such as ComfyUI and integrate them with your local AI system to build practical creative workflows.
6. Integrate Blender & Unreal Engine
Connect AI to Blender and Unreal Engine for 3D asset creation, scene management, automation, rendering, MetaHuman workflows, and other production tasks.
7. Build Automated Production Workflows
Combine local models, agents, creative AI, Blender, and Unreal Engine into repeatable pipelines for tasks such as marketing videos, asset production, rendering, and other content workflows.