Catalog updated 2026-10-31

Best image models for a 32 GB Mac

Which open-weight image models run on a 32 GB Mac. Verdicts come from exact Hugging Face file sizes, model card and app maker statements, and published runs.

Run
9
Unknown
1
Does not fit
0
Answer

9 of 10 listed image models run on a 32 GB Mac: Qwen-Image-2.1, FLUX.2 [dev], FLUX.1 [dev], Stable Diffusion 3.5 Large, FLUX 3 Image Klein, FLUX.2 [klein], Krea 2 Turbo, MOSS-Image and SDXL Base 1.0. Highest blind-vote rank among them: Qwen-Image-2.1, #19 of 82 in text to image (Arena, snapshot 2026-10-07). No figure covers Z-Image-Turbo at this size yet.

A 48 GB Mac gets the same verdicts.

License check before commercial use: Qwen-Image-2.1, FLUX.2 [dev], FLUX.1 [dev], Stable Diffusion 3.5 Large, FLUX 3 Image Klein, FLUX.2 [klein], Krea 2 Turbo.

Table 1

Which image models run on a 32 GB Mac?

10 models

Runs means a published run on 32 GB or less, or a model card or app maker figure at or below it. Does not fit means the weights the app keeps resident in the smallest complete build are larger than 32 GB. A Mac has one memory pool, so the text encoder cannot move out to a separate system RAM; an app that loads the text encoder and the main model one after the other counts only its largest stage. unknown means no source covers this size yet; it is not a failure.

Image models for a 32 GB Mac, with the reason for each verdict
ModelVerdictWhyQualityApp
Qwen-Image-2.1Qwen Research License AgreementRuns · StatedStated by the source: 32 GB of unified memory runs it (mlx-serve 8-bit pack).mlx-serve changelog#19 of 82 in text to image11,441 votesDiffusers with staged loading, Diffusers, stable-diffusion.cpp
FLUX.2 [dev]FLUX Non-Commercial LicenseRuns · StatedStated by the source: 32 GB of unified memory runs it (flux-2-swift-mlx int4 with 4-bit text encoder).flux-2-swift-mlx CLI docs#38 of 82 in text to image77,988 votesflux-2-swift-mlx, Diffusers, ComfyUI, stable-diffusion.cpp
FLUX.1 [dev]FLUX.1 [dev] Non-Commercial License v1.1.1Runs · PublishedA dated run on Apple M3 Pro with 18 GB of unified memory, below this 32 GB tier: Draw Things 5-bit, 1024x1024.Draw Things engineering: Metal FlashAttention 2.0#78 of 82 in text to image49,221 votesDiffusers, mflux, ComfyUI
Stable Diffusion 3.5 LargeStability AI Community LicenseRuns · PublishedA dated run on Apple M3 Pro with 18 GB of unified memory, below this 32 GB tier: Draw Things 5-bit, 1024x1024.Draw Things engineering: Metal FlashAttention 2.0#81 of 82 in text to image23,396 votesComfyUI, Rapid-MLX
FLUX 3 Image KleinFLUX Kommunity License v1.0Runs · PublishedA published run on M1 Max · 32 GB used the mflux 4-bit build (20.3 GB download) in mflux.mflux FLUX 3 memory benchmarkNo independent score yetDiffusers, mflux
FLUX.2 [klein]Apache 2.0 (4B), FLUX Non-Commercial License (9B)Runs · StatedStated by the source: 24 GB of unified memory runs it, below this 32 GB tier (flux-2-swift-mlx, Klein 9B qint8).flux-2-swift-mlx READMENo independent score yetflux-2-swift-mlx, Diffusers, stable-diffusion.cpp
Krea 2 TurboKrea 2 Community License Agreement v.1Runs · PublishedA published run on M1 Max · 32 GB used the Turbo MLX mixed-4/8 build (19.2 GB download) in ComfyUI-Krea2-MLX.ComfyUI-Krea2-MLX READMENo independent score yetComfyUI-Krea2-MLX, Diffusers, stable-diffusion.cpp
MOSS-ImageApache 2.0Runs · PublishedA published run on M1 Max · 32 GB used the Original SFT safetensors build (27.2 GB download) in MOSS-Image MPS path.MOSS-Image Apple silicon guideNo independent score yetMOSS-Image MPS path, stable-diffusion.cpp
SDXL Base 1.0CreativeML Open RAIL++-M LicenseRuns · PublishedA dated run on Apple M2 Pro with 16 GB of unified memory, below this 32 GB tier: ComfyUI fp16, 1344x768, 20 steps.ComfyUI issue #948No independent score yetComfyUI, Rapid-MLX, stable-diffusion.cpp
Z-Image-TurboApache 2.0unknownThe smallest complete build, Q4_K_M GGUF, is a 12.1 GB download, but no stated figure or published run covers 32 GB of unified memory yet.#59 of 82 in text to image24,808 votesDiffusers, mflux, stable-diffusion.cpp

Quality: blind human votes from Arena (arena.ai), CC BY 4.0, snapshot 2026-10-07. Scores are for the Arena checkpoint, not your local quantized build.

Frequently asked questions

What is the best image model for a 32 GB Mac?

Qwen-Image-2.1 has the highest blind-vote rank among the image models that run on a 32 GB Mac: #19 of 82 in text to image, from 11,441 votes (Arena, snapshot 2026-10-07). FLUX.2 [dev], FLUX.1 [dev], Stable Diffusion 3.5 Large, FLUX 3 Image Klein, FLUX.2 [klein], Krea 2 Turbo, MOSS-Image and SDXL Base 1.0 also run.

Which image models run on a 32 GB Mac?

Qwen-Image-2.1 (32 GB stated by mlx-serve changelog), FLUX.2 [dev] (32 GB stated by flux-2-swift-mlx CLI docs), FLUX.1 [dev] (run on Apple M3 Pro with 18 GB), Stable Diffusion 3.5 Large (run on Apple M3 Pro with 18 GB), FLUX 3 Image Klein (published run on M1 Max · 32 GB), FLUX.2 [klein] (24 GB stated by flux-2-swift-mlx README), Krea 2 Turbo (published run on M1 Max · 32 GB), MOSS-Image (published run on M1 Max · 32 GB) and SDXL Base 1.0 (run on Apple M2 Pro with 16 GB).

Which image models are not confirmed on a 32 GB Mac?

Z-Image-Turbo (Q4_K_M GGUF, 12.1 GB). No stated figure or published run covers this size yet, which is not the same as a failure.

Other memory sizes