Best image models for a 64 GB Mac
Which open-weight image models run on a 64 GB Mac. Verdicts come from exact Hugging Face file sizes, model card and app maker statements, and published runs.
- Run
- 10
- Unknown
- 0
- Does not fit
- 0
10 of 10 listed image models run on a 64 GB Mac: Qwen-Image-2.1, FLUX.2 [dev], Z-Image-Turbo, 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).
A 96 and 128 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.
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Which image models run on a 64 GB Mac?
10 modelsRuns means a published run on 64 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 64 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.
| Model | Verdict | Why | Quality | App |
|---|---|---|---|---|
| Qwen-Image-2.1Qwen Research License Agreement | Runs · Published on M5 Pro · 48 GB | A published run on M5 Pro · 48 GB, below this 64 GB tier used the BF16 safetensors build (33.1 GB download) in Diffusers with staged loading.How to run Qwen-Image-2.1 on a 48 GB Mac without swap | #19 of 82 in text to image11,441 votes | Diffusers with staged loading, Diffusers, stable-diffusion.cpp |
| FLUX.2 [dev]FLUX Non-Commercial License | Runs · Stated | Stated by the source: 32 GB of unified memory runs it, below this 64 GB tier (flux-2-swift-mlx int4 with 4-bit text encoder).flux-2-swift-mlx CLI docs | #38 of 82 in text to image77,988 votes | flux-2-swift-mlx, Diffusers, ComfyUI, stable-diffusion.cpp |
| Z-Image-TurboApache 2.0 | Runs · Published | A published run on M1 Max · 64 GB used the mflux 4-bit build (32.8 GB download) in mflux.mflux pull request 820 | #59 of 82 in text to image24,808 votes | Diffusers, mflux, stable-diffusion.cpp |
| FLUX.1 [dev]FLUX.1 [dev] Non-Commercial License v1.1.1 | Runs · Published | A dated run on Apple M3 Pro with 18 GB of unified memory, below this 64 GB tier: Draw Things 5-bit, 1024x1024.Draw Things engineering: Metal FlashAttention 2.0 | #78 of 82 in text to image49,221 votes | Diffusers, mflux, ComfyUI |
| Stable Diffusion 3.5 LargeStability AI Community License | Runs · Published | A dated run on Apple M3 Pro with 18 GB of unified memory, below this 64 GB tier: Draw Things 5-bit, 1024x1024.Draw Things engineering: Metal FlashAttention 2.0 | #81 of 82 in text to image23,396 votes | ComfyUI, Rapid-MLX |
| FLUX 3 Image KleinFLUX Kommunity License v1.0 | Runs · Published on M1 Max · 32 GB | A published run on M1 Max · 32 GB, below this 64 GB tier used the mflux 4-bit build (20.3 GB download) in mflux.mflux FLUX 3 memory benchmark | No independent score yet | Diffusers, mflux |
| FLUX.2 [klein]Apache 2.0 (4B), FLUX Non-Commercial License (9B) | Runs · Stated | Stated by the source: 24 GB of unified memory runs it, below this 64 GB tier (flux-2-swift-mlx, Klein 9B qint8).flux-2-swift-mlx README | No independent score yet | flux-2-swift-mlx, Diffusers, stable-diffusion.cpp |
| Krea 2 TurboKrea 2 Community License Agreement v.1 | Runs · Published on M1 Max · 32 GB | A published run on M1 Max · 32 GB, below this 64 GB tier used the Turbo MLX mixed-4/8 build (19.2 GB download) in ComfyUI-Krea2-MLX.ComfyUI-Krea2-MLX README | No independent score yet | ComfyUI-Krea2-MLX, Diffusers, stable-diffusion.cpp |
| MOSS-ImageApache 2.0 | Runs · Published on M1 Max · 32 GB | A published run on M1 Max · 32 GB, below this 64 GB tier used the Original SFT safetensors build (27.2 GB download) in MOSS-Image MPS path.MOSS-Image Apple silicon guide | No independent score yet | MOSS-Image MPS path, stable-diffusion.cpp |
| SDXL Base 1.0CreativeML Open RAIL++-M License | Runs · Published | A dated run on Apple M2 Pro with 16 GB of unified memory, below this 64 GB tier: ComfyUI fp16, 1344x768, 20 steps.ComfyUI issue #948 | No independent score yet | ComfyUI, Rapid-MLX, 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 64 GB Mac?
Qwen-Image-2.1 has the highest blind-vote rank among the image models that run on a 64 GB Mac: #19 of 82 in text to image, from 11,441 votes (Arena, snapshot 2026-10-07). FLUX.2 [dev], Z-Image-Turbo, 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 64 GB Mac?
Qwen-Image-2.1 (published run on M5 Pro · 48 GB), FLUX.2 [dev] (32 GB stated by flux-2-swift-mlx CLI docs), Z-Image-Turbo (published run on M1 Max · 64 GB), 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).