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Can the Mac 16 GB run FLUX.2 [klein] 9B?

Yes, but only just: Q8_0 leaves 0.4 GB free on the Mac 16 GB.

Image model · 9B16 GB unified · ~12.7 GB for the GPU · 68.25–200 GB/s · Apple SiliconData 2026-10-01
Runs well
Yes, just.

Q8_0 (10.0 GB) fits with only 0.4 GB to spare (about 12.3 GB of 12.7 GB).

Best fileQ8_0
File size10.0 GB
GPU memory needed~12.3 GB
Shared memory33 / 16 GB
Memory map · Mac 16 GB12.3 GB / 12.7 GB
06 GB13 GB
Weights Q8_0 · 10.0 GBWorking memory · 1.5 GBReserve · 0.8 GBFree · 0.4 GB

01What to download

PartFileFolderSize
Modelflux-2-klein-9b-Q8_0.gguf
Q8_0 · unsloth/FLUX.2-klein-9B-GGUF
models/unet10.0 GBDownload →
Text encoderqwen_3_8b.safetensors
Qwen3 8B BF16 · Comfy-Org/flux2-klein-9B
models/text_encoders16.4 GBDownload →
VAEflux2-vae.safetensors
FLUX.2 VAE · Comfy-Org/flux2-dev
models/vae0.3 GBDownload →
Total download · keep about the same free on disk26.7 GB

On a Mac, FP8 text encoders do not load, so a 16-bit one is listed. Sizes from Hugging Face, 2026-10-01.

Free ComfyUI workflow, tested on my RTX 5060 Ti: GGUF Q8_0 workflow (.json). Drag the file into ComfyUI. All workflows →

Shared memory: about 32.7 GB of your 16 GB. On this machine the model, the text encoder, the VAE and the operating system all use the same memory. That is about 16.7 GB more than there is. It still runs: while the model works, the system compresses or swaps the idle text encoder, so loading and changing the prompt get slower. A smaller file or text encoder avoids that. calculated

02Every FLUX.2 klein 9B file on 12.7 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · black-forest-labs
18.2 GB20.5 GB7.8 GB too bigthe original weightsHugging Face →
Q8_0 ←
GGUF · unsloth
10.0 GB12.3 GBfits · 0.4 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · unsloth
7.9 GB10.2 GBfits · 2.5 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · unsloth
7.0 GB9.3 GBfits · 3.4 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · unsloth
5.9 GB8.2 GBfits · 4.5 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · unsloth
4.8 GB7.1 GBfits · 5.6 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · unsloth
4.0 GB6.3 GBfits · 6.4 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 1.5 GB of working memory for FLUX.2 klein 9B and a 0.8 GB reserve. Sizes 2026-10-01. FP8 and INT8 files are left out on a Mac: Apple GPUs cannot compute FP8, so ComfyUI either fails to load them or converts them back to 16-bit, which saves no memory. Use a 16-bit or GGUF file.

03Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run FLUX.2 klein 9B on a Mac 16 GB, send your time per image and peak VRAM and it will appear here, credited.

04About the Mac 16 GB

A Mac with 16 GB shares that memory between the CPU and the GPU. On current macOS the GPU may use about 12.7 GB of it by default (older macOS versions: about 11.5 GB); that is the figure used here. ComfyUI can go past it, but macOS then starts compressing and swapping memory and everything slows down. ComfyUI runs on Apple GPUs through PyTorch's MPS backend. 16-bit and GGUF files work; FP8 and INT8 files do not save memory on a Mac, so they are skipped. Speed is the catch: even the fastest Macs are several times slower per image than a desktop RTX card. Chips sold with 16 GB: M1, M1 Pro, M2, M2 Pro, M3, M4, M5, M6 (memory bandwidth 68.25–200 GB/s - the higher, the faster). Everything about Macs and local AI →

16 GB unified · ~12.7 GB for the GPU · 68.25–200 GB/s · Apple Silicon. Everything that runs on it →

05Questions

How much VRAM does FLUX.2 klein 9B need?

Around 6.3 GB with the smallest file (Q2_K) and 11.7 GB with an 8-bit file (FP8). The full 16-bit file needs about 20.5 GB.

Which FLUX.2 klein 9B file should I download for the Mac 16 GB?

Q8_0 (10.0 GB) from unsloth/FLUX.2-klein-9B-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

FP8 or Q8_0 for FLUX.2 klein 9B on the Mac 16 GB?

Q8_0 (10.0 GB). The Mac 16 GB has no FP8 maths, so FP8 (9.4 GB) only saves memory and is a step further from the original.

How much do I need to download for FLUX.2 klein 9B on the Mac 16 GB?

26.7 GB: flux-2-klein-9b-Q8_0.gguf, qwen_3_8b.safetensors, flux2-vae.safetensors.