image model · stable-diffusion · iOS
SD Can I run Stable Diffusion XL 1.0 on iPhone 17 Pro?
Yes. Stable Diffusion XL 1.0 runs on iPhone 17 Pro at fp16 (~7.5 GB of ~8 GB usable).
Fits at fp16 (~7.5 GB of ~8 GB usable) but with little headroom; close other apps.
- Peak VRAM
- ~7.5 GB
- Usable on device
- ~8 GB
- Device memory
- 12 GB
- Quant
- fp16
How to run it
Use ComfyUI or AUTOMATIC1111 / Forge 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
- 2.6B
- Peak VRAM
- ~7.5 GB at fp16
- Resolution
- 1024×1024
- License
- CreativeML OpenRAIL++-M
- Memory
- 12 GB unified
- Usable for weights
- ~8 GB
- Best runtime
- llama.cpp + Metal (via PocketPal or Off Grid app)
You could also run
Run Stable Diffusion XL 1.0 on other hardware
FAQ
Can iPhone 17 Pro run Stable Diffusion XL 1.0?
Yes. Stable Diffusion XL 1.0 runs on iPhone 17 Pro at fp16 (~7.5 GB of ~8 GB usable).
How much VRAM does Stable Diffusion XL 1.0 need?
It is a tight fit on iPhone 17 Pro. At fp16 the realistic peak is ~7.5 GB of VRAM, versus ~8.5 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~4 GB, much slower.
What do I use to run Stable Diffusion XL 1.0 locally?
Stable Diffusion XL 1.0 runs in ComfyUI or AUTOMATIC1111 / Forge (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.