I built this because I was tired of "AI tools" that were just wrappers around expensive APIs with high latency. As a developer who lives in the terminal (Arch/Nushell), I wanted something that felt like a CLI tool and respected my hardware.
The Tech:
GPU Heavy: It uses decord and PyTorch for scene analysis. I’m calculating action density and spectral flux locally to find hooks before hitting an LLM.
Local Audio: I’m using ChatterBox locally for TTS to avoid recurring costs and privacy leaks.
Rendering: Final assembly is offloaded to NVENC.
Looking for Collaborators: I’m currently looking for PRs specifically around:
Intelligent Auto-Zoom: Using YOLO/RT-DETR to follow the action in a 9:16 crop.
Voice Engine Upgrades: Moving toward ChatterBoxTurbo or NVIDIA's latest TTS.
It's fully dockerized, and also has a makefile. Would love some feedback on the pipeline architecture!
Fair point. I used SOTA models for the analysis to prioritize quality, but since the heavy media processing is local, API costs stay negligible (or free).
The architecture is modular, though—you can definitely swap in a local LLM for a fully air-gapped setup.
I don't get this reasoning. You were tired of LLM wrappers, but what is your tool? These two requirements (felt like a CLI and respects your hardware) do not line up.
Still a cool tool though! Although it seems partly AI generated.
Seems like the post you're replying to has since been edited to clarify that he's referring to the wrappers that rely on third party AI APIs over the internet rather than running locally.
The Tech:
Looking for Collaborators: I’m currently looking for PRs specifically around: It's fully dockerized, and also has a makefile. Would love some feedback on the pipeline architecture!