Stable Diffusion 3.5 Large on Apple M2 Pro (16GB Unified)
M2 Pro (16GB Unified) runs Stable Diffusion 3.5 Large at FP16 — ~37s first response. Usable on 16 GB VRAM — see full quantization options below.
Model Size
8.1B
Device VRAM
16 GB
Bandwidth
200 GB/s
Quantization
FP16
Performance by Quantization
OwnRig currently has one published compatibility entry for Stable Diffusion 3.5 Large on Apple M2 Pro (16GB Unified) at FP16. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| FP16 | – | 36585ms | ✓ Yes | Acceptable | estimated |
Notes
FP16
Conservative estimate anchored to existing Apple Silicon results. Memory bandwidth and quantization size are the primary inference limiters.
About Stable Diffusion 3.5 Large
Stable Diffusion 3.5 Large (8.1B) is a image gen model. Latest Stable Diffusion architecture with significantly improved prompt adherence, typography, and composition over SDXL. Higher VRAM requirement (12GB+ at FP16) but produces noticeably better images. The current standard for local image generation.
View all Stable Diffusion 3.5 Large hardware options →About Apple M2 Pro (16GB Unified)
Apple M2 Pro (16GB Unified) has 16 GB at 200 GB/s. Available in MacBook Pro 14" (2023), MacBook Pro 16" (2023).
See all models Apple M2 Pro (16GB Unified) can run →Estimate method: Conservative estimate anchored to m4-16gb with bandwidth scaling, quantization-size adjustment, and generation damping. Reference hardware source: github.com (2026-04-18)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.