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localmodel.run

image model · stable-diffusion · macOS

SD Can I run Stable Diffusion 3.5 Large on Apple M5 Max (128GB)?

Compatibility verdict VRAM check
Yes, it runsmoderate speed

Yes. Stable Diffusion 3.5 Large runs on Apple M5 Max (128GB) at Q4 GGUF (~7 GB of ~96 GB usable).

Needs ~7 GB Device usable ~96 GB

Runs at Q4 GGUF using ~7 GB of ~96 GB usable.

Peak VRAM
~7 GB
Usable on device
~96 GB
Device memory
128 GB
Quant
Q4 GGUF

How to run it

Use ComfyUI or Draw Things at Q4 GGUF. The big text encoder is loaded to encode your prompt, then offloaded before generation, which is why peak VRAM stays near the backbone size rather than the sum of every file.

Model stable-diffusion
Type
image (MMDIT)
Parameters
8.1B
Peak VRAM
~7 GB at Q4 GGUF
Resolution
1024×1024
License
Stability Community License
Full Stable Diffusion 3.5 Large requirements →
Device macOS
Memory
128 GB unified
Usable for weights
~96 GB
Best runtime
MLX direct / Ollama (MLX backend)
Best models for Apple M5 Max (128GB) →

You could also run

Run Stable Diffusion 3.5 Large on other hardware

FAQ

Can Apple M5 Max (128GB) run Stable Diffusion 3.5 Large?

Yes. Stable Diffusion 3.5 Large runs on Apple M5 Max (128GB) at Q4 GGUF (~7 GB of ~96 GB usable).

How much VRAM does Stable Diffusion 3.5 Large need?

Apple M5 Max (128GB) has room to spare. At Q4 GGUF the realistic peak is ~7 GB of VRAM, versus ~19 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 Stable Diffusion 3.5 Large locally?

Stable Diffusion 3.5 Large runs in ComfyUI or Draw Things (among others). It loads as a 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 2026-06-15. See methodology.