image model · stable-diffusion · iOS
SD Can I run Stable Diffusion 3.5 Large on iPhone 16?
Needs ~7 GB at Q4 GGUF, but only ~4.5 GB is usable on iPhone 16. With aggressive CPU offload it can run on as little as ~5 GB, much slower.
Needs ~7 GB at Q4 GGUF, but only ~4.5 GB is usable on iPhone 16. With aggressive CPU offload it can run on as little as ~5 GB, much slower.
- Peak VRAM
- ~7 GB
- Usable on device
- ~4.5 GB
- Device memory
- 8 GB
- Quant
- Q4 GGUF
- Type
- image (MMDIT)
- Parameters
- 8.1B
- Peak VRAM
- ~7 GB at Q4 GGUF
- Resolution
- 1024×1024
- License
- Stability Community License
- Memory
- 8 GB unified
- Usable for weights
- ~4.5 GB
- Best runtime
- llama.cpp + Metal (via PocketPal or Off Grid app)
What you can run instead
Run Stable Diffusion 3.5 Large on other hardware
FAQ
Can iPhone 16 run Stable Diffusion 3.5 Large?
Needs ~7 GB at Q4 GGUF, but only ~4.5 GB is usable on iPhone 16. With aggressive CPU offload it can run on as little as ~5 GB, much slower.
How much VRAM does Stable Diffusion 3.5 Large need?
iPhone 16 does not have enough memory. 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.