Files read on Hugging Face: 2026-10-24

Krea 2 Turbo GGUF files and Mac RAM

Krea 2 Turbo is the 8-step distilled text-to-image checkpoint of Krea 2. Commercial use is allowed only below USD $1,000,000 in annual revenue under the Krea 2 Community License.

Krea · Updated 2026-10-24
Answer

No published Mac run with a GGUF build yet. The smallest complete GGUF download is 16.87 GB; a download that fits in memory does not prove the model runs.

Smallest Mac with a published run
none yetunknown below
Smallest complete download
16.87 GBTurbo Q4_K_M GGUF
Files read
2026-10-24Hugging Face

Krea 2 Community License Agreement v.1. Commercial use: restricted. Excluded territories: none listed. Commercial use needs total company-wide annual revenue below USD $1,000,000 on a trailing twelve-month basis, or an Enterprise License.

Builds here are Krea 2 Turbo, the 8-step distilled checkpoint. Krea 2 Raw is a separate undistilled checkpoint with its own 52-step settings, and Turbo results do not apply to it.

Table 1

Which exact GGUF files make a complete build?

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

Turbo Q4_K_M GGUF

gguf · Q4_K_M · 16.87 GB complete

Mac routes: stable-diffusion.cpp

Exact component files for Turbo Q4_K_M GGUF
FileComponentRequiredDownloadSource
krea2_turbo-Q4_K_M.ggufvantagewithai/Krea-2-Turbo-GGUFKrea 2 transformerditYes7.49 GBHugging FaceRead 2026-10-24
text_encoder/model.safetensorskrea/Krea-2-TurboQwen3-VL-4B-Instruct text encodertext_encoderYes8.88 GBHugging FaceRead 2026-10-24
vae/diffusion_pytorch_model.safetensorskrea/Krea-2-TurboQwen-Image VAEvaeYes0.51 GBHugging FaceRead 2026-10-24

Build sources: Krea 2 Turbo GGUF card · stable-diffusion.cpp README.

Turbo Q8_0 GGUF

gguf · Q8_0 · 23.09 GB complete

Mac routes: stable-diffusion.cpp

Exact component files for Turbo Q8_0 GGUF
FileComponentRequiredDownloadSource
krea2_turbo-Q8_0.ggufvantagewithai/Krea-2-Turbo-GGUFKrea 2 transformerditYes13.71 GBHugging FaceRead 2026-10-24
text_encoder/model.safetensorskrea/Krea-2-TurboQwen3-VL-4B-Instruct text encodertext_encoderYes8.88 GBHugging FaceRead 2026-10-24
vae/diffusion_pytorch_model.safetensorskrea/Krea-2-TurboQwen-Image VAEvaeYes0.51 GBHugging FaceRead 2026-10-24

Build sources: Krea 2 Turbo GGUF card · stable-diffusion.cpp README.

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 GBTurbo Q4_K_M GGUFQ4_K_M · stable-diffusion.cpp16.87 GBDoes not fitest.
16 GBTurbo Q4_K_M GGUFQ4_K_M · stable-diffusion.cpp16.87 GBDoes not fitest.
24 GBTurbo Q4_K_M GGUFQ4_K_M · stable-diffusion.cpp16.87 GBunknownunknown
32 GBTurbo Q4_K_M GGUFQ4_K_M · stable-diffusion.cpp16.87 GBunknownunknown
48 GBTurbo Q4_K_M GGUFQ4_K_M · stable-diffusion.cpp16.87 GBunknownunknown
64 GBTurbo Q4_K_M GGUFQ4_K_M · stable-diffusion.cpp16.87 GBunknownunknown
96 GBTurbo Q4_K_M GGUFQ4_K_M · stable-diffusion.cpp16.87 GBunknownunknown
128 GBTurbo Q4_K_M GGUFQ4_K_M · stable-diffusion.cpp16.87 GBunknownunknown

How does it rank in blind votes?

No independent score yet.

Which Mac software routes are listed?

  • 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?

"Official Turbo settings are 8 steps, cfg 0.0 and mu 1.15, with generation from 1k to 2k resolution. No numeric RAM or VRAM minimum is given."

Source: Krea 2 README · Read 2026-10-24.

What known issues should you check?

  • Known issue 1

    The node author describes one 12.9B model as staying resident at about 18 to 20 GB with encoder and VAE. That is an estimate, not a measured peak.

    Source: ComfyUI-Krea2-MLX README · Read 2026-10-24

  • Known issue 2

    The Mac time comes from the node author README, with sampler, guidance and run date not stated. The source date is the commit that published it.

    Source: ComfyUI-Krea2-MLX README · Read 2026-10-24

Sources