
One AI Brain, Many Faces and Voices
Our presenter, her news-anchor self, and every character voice in our videos share infrastructure: one local LLM, swappable voices, swappable faces. The architecture that makes characters cheap.

Our presenter, her news-anchor self, and every character voice in our videos share infrastructure: one local LLM, swappable voices, swappable faces. The architecture that makes characters cheap.

Free, unlimited, private image generation at home — the ComfyUI setup we generate hundreds of images a day on, explained for a first-timer.

Our whole stack — image generation, the LLM brain, everything — is reachable from a phone on the other side of the country, with zero open ports. Tailscale setup in fifteen minutes.

Every caption on our channel — including karaoke-timed lyrics — comes from faster-whisper running locally. Setup, word-level timestamps, and the two tricks that fix the words it always gets wrong.

The full blueprint for a fully-local AI companion — speech in, animated talking character out — running on one consumer GPU. This is the map; every stage links to a hands-on guide.

The brain is the biggest VRAM line-item and the biggest latency trap. How we run a 26B multimodal LLM via Ollama with sub-second warm responses, persistent memory — and free screen vision.

Pick your GPU and RAM, get honest answers: which AI chat models, image generators, voice cloning, talking avatars, video generation, and full AI companions your machine can actually run — from people who run all of it daily.