video model · ltx-video · macOS
Can I run LTX-Video 13B on Apple M1 (8GB)?
Needs ~20 GB at fp8, but only ~5.5 GB is usable on Apple M1 (8GB). With aggressive CPU offload it can run on as little as ~12 GB, much slower.
Needs ~20 GB at fp8, but only ~5.5 GB is usable on Apple M1 (8GB). With aggressive CPU offload it can run on as little as ~12 GB, much slower.
The gap is about 14.5 GB: LTX-Video 13B needs roughly 20 GB and Apple M1 (8GB) leaves only about 5.5 GB usable for a model. The lightest tracked hardware that runs LTX-Video 13B is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See LTX-Video 13B on Nvidia GeForce RTX 4090 (24GB).
- Peak VRAM
- ~20 GB
- Usable on device
- ~5.5 GB
- Device memory
- 8 GB
- Quant
- fp8
- Type
- video (DIT)
- Parameters
- 13B
- Peak VRAM
- ~20 GB at fp8
- Resolution
- 1216×704
- License
- LTX-Video Open Weights (OpenRAIL-M)
- Memory
- 8 GB unified
- Usable for weights
- ~5.5 GB
- Power draw
- ~39 W
- Best runtime
- Ollama (llama.cpp Metal backend)
Run LTX-Video 13B on other hardware
FAQ
Can Apple M1 (8GB) run LTX-Video 13B?
Needs ~20 GB at fp8, but only ~5.5 GB is usable on Apple M1 (8GB). With aggressive CPU offload it can run on as little as ~12 GB, much slower.
How much VRAM does LTX-Video 13B need?
Apple M1 (8GB) does not have enough memory. At fp8 the realistic peak is ~20 GB of VRAM, versus ~38 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~12 GB, much slower.
What do I use to run LTX-Video 13B locally?
LTX-Video 13B runs in ComfyUI or Diffusers. It loads as a video diffusion checkpoint plus its text encoder and VAE, not a single chat command.
Sources
VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-08-03. See methodology.