video model · wan · macOS
Can I run Wan 2.1 T2V 1.3B on Apple M1 (8GB)?
Needs ~6 GB at Q4 GGUF, but only ~5.5 GB is usable on Apple M1 (8GB). With aggressive CPU offload it can run on as little as ~5 GB, much slower.
Needs ~6 GB at Q4 GGUF, but only ~5.5 GB is usable on Apple M1 (8GB). With aggressive CPU offload it can run on as little as ~5 GB, much slower.
The gap is about 0.5 GB: Wan 2.1 T2V 1.3B needs roughly 6 GB and Apple M1 (8GB) leaves only about 5.5 GB usable for a model. The lightest tracked hardware that runs Wan 2.1 T2V 1.3B is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See Wan 2.1 T2V 1.3B on Nvidia GeForce RTX 3060 (12GB).
- Peak VRAM
- ~6 GB
- Usable on device
- ~5.5 GB
- Device memory
- 8 GB
- Quant
- Q4 GGUF
- Type
- video (DIT)
- Parameters
- 1.3B
- Peak VRAM
- ~6 GB at Q4 GGUF
- Resolution
- 832×480 (480p)
- License
- Apache-2.0
- Memory
- 8 GB unified
- Usable for weights
- ~5.5 GB
- Power draw
- ~39 W
- Best runtime
- Ollama (llama.cpp Metal backend)
Run Wan 2.1 T2V 1.3B on other hardware
FAQ
Can Apple M1 (8GB) run Wan 2.1 T2V 1.3B?
Needs ~6 GB at Q4 GGUF, but only ~5.5 GB is usable on Apple M1 (8GB). With aggressive CPU offload it can run on as little as ~5 GB, much slower.
How much VRAM does Wan 2.1 T2V 1.3B need?
Apple M1 (8GB) does not have enough memory. At Q4 GGUF the realistic peak is ~6 GB of VRAM, versus ~20 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~5 GB, much slower.
What do I use to run Wan 2.1 T2V 1.3B locally?
Wan 2.1 T2V 1.3B 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.