LTX 2.5 Video Generation Runs Locally on a MacBook Pro
An open-source developer demonstrated running the LTX 2.5 Distilled model for local image-to-video generation with audio on a 48GB M5 Pro MacBook Pro using TensorSharp's Video Studio. The process generated 145 frames at 24 fps (about 6 seconds) in 13 minutes and 15 seconds. This demonstration highlights the growing accessibility and capability of running advanced, resource-intensive AI video generation pipelines entirely on consumer hardware without relying on cloud services. It empowers creators with local control over video editing, timeline composition, and optional LLM assistants. TensorSharp’s Video Studio combines local inference, a multi-track editable timeline, FFmpeg-based rendering, and local LLM editing assistance in a single project. The system supports multiple video models, first/last-frame conditioning, and seamless clip stitching, though motion drift and audio continuation across joins remain technical challenges.
## BACKGROUND
TensorSharp is an open-source inference engine and agent runtime designed for local AI workloads. LTX 2.5 is an open-source foundation model capable of generating multi-shot scenes and handling advanced video editing tasks.