image model · stable-diffusion · iOS
SD Can I run Stable Diffusion XL 1.0 on iPhone 15 Pro?
Needs ~7.5 GB at fp16, but only ~4.5 GB is usable on iPhone 15 Pro. With aggressive CPU offload it can run on as little as ~4 GB, much slower.
Needs ~7.5 GB at fp16, but only ~4.5 GB is usable on iPhone 15 Pro. With aggressive CPU offload it can run on as little as ~4 GB, much slower.
- Peak VRAM
- ~7.5 GB
- Usable on device
- ~4.5 GB
- Device memory
- 8 GB
- Quant
- fp16
- Type
- image (UNET)
- Parameters
- 2.6B
- Peak VRAM
- ~7.5 GB at fp16
- Resolution
- 1024×1024
- 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)
What you can run instead
Run Stable Diffusion XL 1.0 on other hardware
FAQ
Can iPhone 15 Pro run Stable Diffusion XL 1.0?
Needs ~7.5 GB at fp16, but only ~4.5 GB is usable on iPhone 15 Pro. With aggressive CPU offload it can run on as little as ~4 GB, much slower.
How much VRAM does Stable Diffusion XL 1.0 need?
iPhone 15 Pro does not have enough memory. 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.