Running LTX-2.3 Locally
- →Install and run the real local stack — ltx-core and ltx-pipelines — and recognise the fabricated LTXVideoModel API on sight
- →Match a checkpoint and precision to the hardware you actually have, using the documented VRAM tiers
- →State your organisation's position under the LTX-2 Community License before you ship anything built on the weights
- →Reason about when local inference beats the API and when it does not
At some point every team asks whether to bring generation in-house. The honest answer depends on three things that have nothing to do with model quality: what your GPUs are, what your legal position is, and how many clips a month you actually make. This lesson gets all three right, and it starts by throwing away the most widely-copied local tutorial on the internet.
That is the inference surface. Note what is not here: ltx-trainer is not on PyPI. It lives inside the Lightricks/LTX-2 monorepo and is driven with uv sync / uv run from a clone. We come back to it next lesson.
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