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localmodel.run

image model · flux · iOS

Can I run FLUX.1 dev on iPhone 15 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 15 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 15 Pro. With aggressive CPU offload it can run on as little as ~3 GB, much slower.

The gap is about 2 GB: FLUX.1 dev needs roughly 6.5 GB and iPhone 15 Pro leaves only about 4.5 GB usable for a model. The lightest tracked hardware that runs FLUX.1 dev is the Nvidia GeForce RTX 3060 Ti (8GB) at 8 GB. See FLUX.1 dev on Nvidia GeForce RTX 3060 Ti (8GB).

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
FLUX.1-dev Non-Commercial License
Full FLUX.1 dev requirements →
Device iOS
Memory
8 GB unified
Usable for weights
~4.5 GB
Power draw
~14 W
Best runtime
llama.cpp + Metal (via PocketPal or Off Grid app)
Best models for iPhone 15 Pro →

What you can run instead

Run FLUX.1 dev on other hardware

Nvidia GeForce RTX 3060 Ti (8GB)Nvidia GeForce GTX 1070 (8GB)Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)iPhone 17 ProiPhone Air

FAQ

Can iPhone 15 Pro run FLUX.1 dev?

Needs ~6.5 GB at Q4 GGUF, but only ~4.5 GB is usable on iPhone 15 Pro. With aggressive CPU offload it can run on as little as ~3 GB, much slower.

How much VRAM does FLUX.1 dev need?

iPhone 15 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 dev locally?

FLUX.1 dev 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; catalog updated 2026-10-05. See methodology.