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localmodel.run

image model · flux · iOS

Can I run FLUX.1 schnell on iPhone 16 Pro?

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

Needs ~6.5 GB at Q4 GGUF, but only ~4.5 GB is usable on iPhone 16 Pro. With aggressive CPU offload it can run on as little as ~3 GB, much slower.

Needs ~6.5 GB Device usable ~4.5 GB

Needs ~6.5 GB at Q4 GGUF, but only ~4.5 GB is usable on iPhone 16 Pro. With aggressive CPU offload it can run on as little as ~3 GB, much slower.

The gap is about 2 GB: FLUX.1 schnell needs roughly 6.5 GB and iPhone 16 Pro leaves only about 4.5 GB usable for a model. The lightest tracked hardware that runs FLUX.1 schnell is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See FLUX.1 schnell on Nvidia GeForce RTX 3060 (12GB).

Peak VRAM
~6.5 GB
Usable on device
~4.5 GB
Device memory
8 GB
Quant
Q4 GGUF
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Model flux
Type
image (DIT)
Parameters
12B
Peak VRAM
~6.5 GB at Q4 GGUF
Resolution
1024×1024
License
Apache-2.0
Full FLUX.1 schnell requirements →
Device iOS
Memory
8 GB unified
Usable for weights
~4.5 GB
Power draw
~12 W
Best runtime
llama.cpp + Metal (via PocketPal or Off Grid app)
Best models for iPhone 16 Pro →

What you can run instead

Run FLUX.1 schnell 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 Pro run FLUX.1 schnell?

Needs ~6.5 GB at Q4 GGUF, but only ~4.5 GB is usable on iPhone 16 Pro. With aggressive CPU offload it can run on as little as ~3 GB, much slower.

How much VRAM does FLUX.1 schnell need?

iPhone 16 Pro does not have enough memory. At Q4 GGUF the realistic peak is ~6.5 GB of VRAM, versus ~33 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~3 GB, much slower.

What do I use to run FLUX.1 schnell locally?

FLUX.1 schnell 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 2026-08-03. See methodology.