Files read on Hugging Face: 2026-10-24

FLUX 3 Image Klein on Mac: files, RAM and published times

Distilled 5.6B text-to-image and editing model with Qwen3-VL-4B-Instruct as the text encoder. The FLUX Kommunity License limits model use to non-commercial work, with an output exception below US$5,000,000 revenue.

Black Forest Labs · Updated 2026-10-24
Answer

FLUX 3 Image Klein runs on a Mac with 32 GB or more. A published run on M1 Max · 32 GB used the mflux 4-bit build (source, 2026-10-20).

Smallest Mac with a published run
32 GBM1 Max · 32 GB · mflux 4-bit
Smallest complete download
12.88 GBQ4_K_M GGUF
Files read
2026-10-24Hugging Face

FLUX Kommunity License v1.0. Commercial use: restricted. Excluded territories: none listed. Ordinary model use is non-commercial. Output generation has an exception for qualifying users below US$5,000,000 gross annualized revenue.

See the exact GGUF files and sizes

This is the distilled FLUX 3 Image Klein checkpoint. FLUX 3 Image Klein Base and the prompt upsampler are separate repositories and roles.

Table 1

What do you download?

Only builds with every required component and an exact probed file size are shown.

mflux 4-bit

safetensors · 4-bit (mflux --quantize 4) · 20.31 GB complete · Recommended

Mac routes: mflux

Exact component files for mflux 4-bit
FileComponentRequiredDownloadSource
transformer/diffusion_pytorch_model-00001-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinFLUX 3 transformerditYes9.91 GBHugging FaceRead 2026-10-24
transformer/diffusion_pytorch_model-00002-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinFLUX 3 transformerditYes1.19 GBHugging FaceRead 2026-10-24
text_encoder/model-00001-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinQwen3-VL-4B-Instruct text encodertext_encoderYes4.97 GBHugging FaceRead 2026-10-24
text_encoder/model-00002-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinQwen3-VL-4B-Instruct text encodertext_encoderYes3.91 GBHugging FaceRead 2026-10-24
vae/diffusion_pytorch_model.safetensorsblack-forest-labs/flux-3-image-kleinFLUX image autoencodervaeYes0.34 GBHugging FaceRead 2026-10-24

Build sources: mflux model registry · mflux README.

Q4_K_M GGUF

gguf · Q4_K_M · 12.88 GB complete

Mac routes: Diffusers

Exact component files for Q4_K_M GGUF
FileComponentRequiredDownloadSource
flux-3-image-klein-Q4_K_M.ggufunsloth/flux-3-image-klein-GGUFFLUX 3 transformerditYes3.67 GBHugging FaceRead 2026-10-24
text_encoder/model-00001-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinQwen3-VL-4B-Instruct text encodertext_encoderYes4.97 GBHugging FaceRead 2026-10-24
text_encoder/model-00002-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinQwen3-VL-4B-Instruct text encodertext_encoderYes3.91 GBHugging FaceRead 2026-10-24
vae/diffusion_pytorch_model.safetensorsblack-forest-labs/flux-3-image-kleinFLUX image autoencodervaeYes0.34 GBHugging FaceRead 2026-10-24

Build sources: FLUX 3 Image Klein GGUF card · Diffusers GGUF guide.

Q8_0 GGUF

gguf · Q8_0 · 15.30 GB complete

Mac routes: Diffusers

Exact component files for Q8_0 GGUF
FileComponentRequiredDownloadSource
flux-3-image-klein-Q8_0.ggufunsloth/flux-3-image-klein-GGUFFLUX 3 transformerditYes6.09 GBHugging FaceRead 2026-10-24
text_encoder/model-00001-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinQwen3-VL-4B-Instruct text encodertext_encoderYes4.97 GBHugging FaceRead 2026-10-24
text_encoder/model-00002-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinQwen3-VL-4B-Instruct text encodertext_encoderYes3.91 GBHugging FaceRead 2026-10-24
vae/diffusion_pytorch_model.safetensorsblack-forest-labs/flux-3-image-kleinFLUX image autoencodervaeYes0.34 GBHugging FaceRead 2026-10-24

Build sources: FLUX 3 Image Klein GGUF card · Diffusers GGUF guide.

BF16 safetensors

safetensors · BF16 · 20.31 GB complete

Mac routes: Diffusers

Exact component files for BF16 safetensors
FileComponentRequiredDownloadSource
transformer/diffusion_pytorch_model-00001-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinFLUX 3 transformerditYes9.91 GBHugging FaceRead 2026-10-24
transformer/diffusion_pytorch_model-00002-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinFLUX 3 transformerditYes1.19 GBHugging FaceRead 2026-10-24
text_encoder/model-00001-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinQwen3-VL-4B-Instruct text encodertext_encoderYes4.97 GBHugging FaceRead 2026-10-24
text_encoder/model-00002-of-00002.safetensorsblack-forest-labs/flux-3-image-kleinQwen3-VL-4B-Instruct text encodertext_encoderYes3.91 GBHugging FaceRead 2026-10-24
vae/diffusion_pytorch_model.safetensorsblack-forest-labs/flux-3-image-kleinFLUX image autoencodervaeYes0.34 GBHugging FaceRead 2026-10-24

Build sources: FLUX 3 Image Klein model card.

Table 2

Does it fit your Mac's RAM?

Published names the exact measured machine. est. is a memory calculation. unknown means the run verdict is not established, not that the model fails.

Run verdicts by Mac memory tier
Mac RAMComplete buildDownloadRun verdictBasis
8 GBmflux 4-bit4-bit (mflux --quantize 4) · mflux20.31 GBDoes not fitest.
16 GBQ4_K_M GGUFQ4_K_M · Diffusers12.88 GBunknownunknown
24 GBmflux 4-bit4-bit (mflux --quantize 4) · mflux20.31 GBunknownunknown
32 GBmflux 4-bit4-bit (mflux --quantize 4) · mflux20.31 GBRuns · PublishedPublishedApple M1 Max · 32 GB RAM
48 GBmflux 4-bit4-bit (mflux --quantize 4) · mflux20.31 GBRuns · Published on M1 Max · 32 GBPublishedApple M1 Max · 32 GB RAM
64 GBmflux 4-bit4-bit (mflux --quantize 4) · mflux20.31 GBRuns · Published on M1 Max · 32 GBPublishedApple M1 Max · 32 GB RAM
96 GBmflux 4-bit4-bit (mflux --quantize 4) · mflux20.31 GBRuns · Published on M1 Max · 32 GBPublishedApple M1 Max · 32 GB RAM
128 GBmflux 4-bit4-bit (mflux --quantize 4) · mflux20.31 GBRuns · Published on M1 Max · 32 GBPublishedApple M1 Max · 32 GB RAM

How does it rank in blind votes?

No independent score yet.

Table 3

What published Mac times are available?

Third-party results keep their original machine and settings. ModelFit does not run these benchmarks.

Published Mac generation measurements
Machine and RAMSettingsAppResultSource
Apple M1 Max · 32 GB RAM512x512 · 16 steps · 4-bit (mflux --quantize 4) · Default mode. Seed 42, mflux 0.23.0, MLX 0.32.0, macOS 14.6, local 4-bit conversion of the distilled checkpoint. External wall time and peak MLX allocation. Other applications were active.mfluxSuccess49.5 s6.7 GB peakmflux FLUX 3 memory benchmarkPublished 2026-10-20 · Grade A
Apple M1 Max · 32 GB RAM512x512 · 16 steps · 4-bit (mflux --quantize 4) · --low-ram mode. Seed 42, mflux 0.23.0, MLX 0.32.0, macOS 14.6, local 4-bit conversion of the distilled checkpoint. External wall time and peak MLX allocation. Other applications were active.mfluxSuccess52.6 s4 GB peakmflux FLUX 3 memory benchmarkPublished 2026-10-20 · Grade A

Which Mac software routes are listed?

  • Diffusers

    Official

    Formats: safetensors, gguf. Memory policy: component stages stay resident.

    Runs on the PyTorch mps device on Mac and CUDA on NVIDIA. GGUF loads through from_single_file on the model class, not the pipeline. Resident size is the sum of the weights, an upper bound.

    Sources: Diffusers MPS guide · Diffusers GGUF guide

  • mflux

    Community · 0.23.0

    Formats: safetensors. Memory policy: component stages stay resident.

    MLX-native runner. It reads the original Hugging Face weights and quantizes them while loading (--quantize 3, 4, 5, 6 or 8). --low-ram lowers memory use at a performance cost.

    Install with uv

    uv tool install --upgrade mflux

    Sources: mflux README, install · mflux pyproject · mflux common README, quantization

  • stable-diffusion.cpp

    Official

    Formats: gguf, safetensors. Memory policy: component stages stay resident.

    C/C++ runner with Metal on Mac and CUDA on NVIDIA. It reads GGUF and safetensors, and its docs keep a page per model family. Resident size is the sum of the weights, an upper bound.

    Sources: stable-diffusion.cpp README, backends

What does the official configuration say?

"Peak GPU memory with the reference code on a B200 at 1024x1024 with the prompt upsampler off is 31 GB in BF16, 26 GB in FP8 and 25 GB in NVFP4. This is a datacenter GPU figure, not a Mac minimum."

Source: FLUX 3 Image Klein model card · Read 2026-10-24.

What known issues should you check?

  • Known issue 1

    Black Forest Labs says not to use the model without a prompt upsampler. The upsampler is a separate 9B model and is not counted in the sizes here.

    Source: FLUX 3 Image Klein model card · Read 2026-10-24

  • Known issue 2

    The Mac timings come from a run with other applications active and growing swap. The authors call them observations under shared load, not a speed ranking.

    Source: mflux FLUX 3 memory benchmark · Read 2026-10-24

Frequently asked questions

How fast is FLUX 3 Image Klein on a Mac?

An mflux 4-bit conversion on an M1 Max with 32 GB made a 512x512 image in 16 steps in 49.45 s in default mode, peaking at 6.71 GB of MLX memory. Low-RAM mode took 52.63 s with a 3.997 GB peak. Other applications were running.

Do I need the FLUX 3 prompt upsampler?

Black Forest Labs says not to use the model without a prompt upsampler. It is a separate 9B model and is not counted in the file sizes here, so those sizes understate the official workflow.

Can I use FLUX 3 Image Klein commercially?

Ordinary model use is non-commercial under the FLUX Kommunity License v1.0. Output generation has an exception for qualifying users below US$5,000,000 gross annualized revenue. Read the license text for the full list of prohibited uses.

Sources