Over the last two years, local AI on PCs has gone from a niche experiment to something practical for everyday creators, thanks to faster RTX GPUs, maturing tools and far more efficient models. NVIDIA’s latest update focuses on making high quality video, audio and language workflows run comfortably on consumer hardware instead of massive cloud setups. A new RTX powered pipeline built around the open LTX-2 model and ComfyUI lets artists move from storyboard to keyframes to 4K video with much tighter control over motion and scene layout, while still fitting into typical VRAM budgets. NVFP4 and NVFP8 formats, plus PyTorch CUDA optimizations, cut video and image generation VRAM use by up to 60 percent and can roughly triple performance compared to earlier generations, which is a significant step up versus 2024 era local tools.
LTX-2 itself generates synchronized video and audio in a single pass and supports keyframe guidance, control signals like depth or pose, and native upscaling, which makes it flexible enough for both stylized and more realistic clips. On top of that, features such as weight streaming in ComfyUI, faster small language model inference in llama.cpp and Ollama, and tools like Nexa’s Hyperlink for local video search aim to turn RTX PCs into broad creative and analytical workstations, rather than single purpose render boxes.
