Can the Apple M2 Pro (32 GB) run AuraFlow v0.3?

65 pts

Yes, it runs well

Runs well. At FP8 it needs about 10.4 GB of 21.4 GB usable, with an estimated speed of 2.6 min.

Best precision: FP8
Memory mode: Everything on GPU
Time per image: 2.6 min
Output: 1024×1024, 50 steps

Download AuraFlow v0.3

Quantized files · GGUF for ComfyUI

Smaller GGUF versions for ComfyUI (with the ComfyUI-GGUF node). No sign-in needed; the model’s license still applies.

huggingface.co/city96/AuraFlow-v0.3-gguf (opens in a new tab)

Original weights · Hugging Face

Full-precision files from fal, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/fal/AuraFlow-v0.3 (opens in a new tab)

No sign-in needed.

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

How the B grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	25.6 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	3.8 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	11.2 / 15
Total	65.6 / 100	65 ptsGood (B) · 65 of 100 points: Model quality 25.6/45, Memory fit 25.0/25, Speed 3.8/15, Memory use 11.2/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every precision on the Apple M2 Pro (32 GB)

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	18.5 GB	21.4 GB	2.9 min	Everything on GPU	Tight fit	67 ptsGood (B) · 67 of 100 points: Model quality 26.1/45, Memory fit 23.0/25, Speed 3.6/15, Memory use 15.0/15	Original weights (opens in a new tab)
`FP8`	10.4 GB	21.4 GB	2.6 min	Everything on GPU	Runs well	65 ptsGood (B) · 65 of 100 points: Model quality 25.6/45, Memory fit 25.0/25, Speed 3.8/15, Memory use 11.2/15	Original weights (opens in a new tab)
`Q8 GGUF`	10.9 GB	21.4 GB	3.3 min	Everything on GPU	Runs well	65 ptsGood (B) · 65 of 100 points: Model quality 25.8/45, Memory fit 25.0/25, Speed 3.4/15, Memory use 11.8/15	GGUF (opens in a new tab)
`Q4 GGUF`	7.7 GB	21.4 GB	3.5 min	Everything on GPU	Runs well	60 ptsGood (B) · 60 of 100 points: Model quality 24.3/45, Memory fit 25.0/25, Speed 3.3/15, Memory use 8.3/15	GGUF (opens in a new tab)

Other hardware that runs it

77 ptsGreat (A) · 77 of 100 points: Model quality 25.6/45, Memory fit 25.0/25, Speed 11.6/15, Memory use 15.0/15 AMD Radeon RX 9070 XT FP8 · 17 s
77 ptsGreat (A) · 77 of 100 points: Model quality 25.6/45, Memory fit 25.0/25, Speed 11.6/15, Memory use 15.0/15 NVIDIA GeForce RTX 5080 FP8 · 17 s
76 ptsGreat (A) · 76 of 100 points: Model quality 25.6/45, Memory fit 25.0/25, Speed 11.3/15, Memory use 15.0/15 NVIDIA GeForce RTX 4080 SUPER FP8 · 18 s
76 ptsGreat (A) · 76 of 100 points: Model quality 25.6/45, Memory fit 25.0/25, Speed 10.6/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 Ti SUPER FP8 · 20 s
76 ptsGreat (A) · 76 of 100 points: Model quality 25.6/45, Memory fit 25.0/25, Speed 10.5/15, Memory use 15.0/15 NVIDIA GeForce RTX 5070 Ti FP8 · 20 s
75 ptsGreat (A) · 75 of 100 points: Model quality 26.1/45, Memory fit 25.0/25, Speed 9.2/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 FP16 · 26 s

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.