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image model · stable-diffusion · iOS

Can I run Stable Diffusion XL 1.0 on iPhone 16?

Compatibility verdict VRAM check
No, not enough memory would not load

Needs ~7.5 GB at fp16, but only ~4.5 GB is usable on iPhone 16. With aggressive CPU offload it can run on as little as ~4 GB, much slower.

Needs ~7.5 GB Device usable ~4.5 GB

Needs ~7.5 GB at fp16, but only ~4.5 GB is usable on iPhone 16. With aggressive CPU offload it can run on as little as ~4 GB, much slower.

The gap is about 3 GB: Stable Diffusion XL 1.0 needs roughly 7.5 GB and iPhone 16 leaves only about 4.5 GB usable for a model. The lightest tracked hardware that runs Stable Diffusion XL 1.0 is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See Stable Diffusion XL 1.0 on Nvidia GeForce RTX 3060 (12GB).

Peak VRAM
~7.5 GB
Usable on device
~4.5 GB
Device memory
8 GB
Quant
fp16
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Model stable-diffusion
Type
image (UNET)
Parameters
2.6B
Peak VRAM
~7.5 GB at fp16
Resolution
1024×1024
License
CreativeML OpenRAIL++-M
Full Stable Diffusion XL 1.0 requirements →
Device iOS
Memory
8 GB unified
Usable for weights
~4.5 GB
Power draw
~11 W
Best runtime
llama.cpp + Metal (via PocketPal or Off Grid app)
Best models for iPhone 16 →

What you can run instead

Run Stable Diffusion XL 1.0 on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)iPhone 17 ProiPhone AirApple M2 (16GB)Apple M4 (16GB)

FAQ

Can iPhone 16 run Stable Diffusion XL 1.0?

Needs ~7.5 GB at fp16, but only ~4.5 GB is usable on iPhone 16. 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 16 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 2026-08-03. See methodology.