image model · stable-diffusion · iOS
SD Can I run Stable Diffusion 1.5 on iPhone 16 Pro?
Yes. Stable Diffusion 1.5 runs on iPhone 16 Pro at fp16 (~3.7 GB of ~4.5 GB usable).
Fits at fp16 (~3.7 GB of ~4.5 GB usable) but with little headroom; close other apps.
- Peak VRAM
- ~3.7 GB
- Usable on device
- ~4.5 GB
- Device memory
- 8 GB
- Quant
- fp16
How to run it
Use AUTOMATIC1111 or ComfyUI at fp16. It conditions on an image, not a text prompt; the pipeline offloads each stage off the GPU between passes, keeping peak VRAM near the active stage.
- Type
- image (UNET)
- Parameters
- 860M
- Peak VRAM
- ~3.7 GB at fp16
- Resolution
- 512×512
- License
- CreativeML OpenRAIL-M
- Memory
- 8 GB unified
- Usable for weights
- ~4.5 GB
- Best runtime
- llama.cpp + Metal (via PocketPal or Off Grid app)
Run Stable Diffusion 1.5 on other hardware
FAQ
Can iPhone 16 Pro run Stable Diffusion 1.5?
Yes. Stable Diffusion 1.5 runs on iPhone 16 Pro at fp16 (~3.7 GB of ~4.5 GB usable).
How much VRAM does Stable Diffusion 1.5 need?
It is a tight fit on iPhone 16 Pro. At fp16 the realistic peak is ~3.7 GB of VRAM, versus ~4 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~2 GB, much slower.
What do I use to run Stable Diffusion 1.5 locally?
Stable Diffusion 1.5 runs in AUTOMATIC1111 or ComfyUI (among others). It loads as a diffusion checkpoint plus its image 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.