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Can the Mac 24 GB run FLUX.2 [dev]?

Not at full quality. The 16-bit and 8-bit files are too big for the Mac 24 GB; the largest that fits is Q3_K_M (16.0 GB).

Image model · 32B24 GB unified · ~19.6 GB for the GPU · 100–307 GB/s · Apple SiliconData 2026-10-01
Tight
Only just.

Q3_K_M (16.0 GB) fits with only 0.3 GB to spare (about 19.3 GB of 19.6 GB). Quality: noticeable loss of detail.

Best fileQ3_K_M
File size16.0 GB
GPU memory needed~19.3 GB
Shared memory58 / 24 GB
Memory map · Mac 24 GB19.3 GB / 19.6 GB
010 GB20 GB
Weights Q3_K_M · 16.0 GBWorking memory · 2.5 GBReserve · 0.8 GBFree · 0.3 GB

01What to download

PartFileFolderSize
Modelflux2-dev-Q3_K_M.gguf
Q3_K_M · city96/FLUX.2-dev-gguf
models/unet16.0 GBDownload →
Text encodermistral_3_small_flux2_bf16.safetensors
Mistral 3 Small BF16 · Comfy-Org/flux2-dev
models/text_encoders35.6 GBDownload →
VAEflux2-vae.safetensors
FLUX.2 VAE · Comfy-Org/flux2-dev
models/vae0.3 GBDownload →
Total download · keep about the same free on disk51.9 GB

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

Shared memory: about 57.9 GB of your 24 GB. On this machine the model, the text encoder, the VAE and the operating system all use the same memory. That is about 33.9 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 dev file on 19.6 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · black-forest-labs
64.4 GB67.7 GB48.1 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · city96
35.0 GB38.3 GB18.7 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · city96
27.4 GB30.7 GB11.1 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · city96
24.1 GB27.4 GB7.8 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · city96
20.1 GB23.4 GB3.8 GB too biggood; some loss in fine detail and textHugging Face →
Q3_K_M ←
GGUF · city96
16.0 GB19.3 GBfits · 0.3 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · city96
12.9 GB16.2 GBfits · 3.4 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 2.5 GB of working memory for FLUX.2 dev 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 dev on a Mac 24 GB, send your time per image and peak VRAM and it will appear here, credited.

04With more VRAM

With 48 GB you could run FLUX.2 dev at 8-bit or better (Q8_0, 35.0 GB) with no offloading.

05About the Mac 24 GB

A Mac with 24 GB shares that memory between the CPU and the GPU. On current macOS the GPU may use about 19.6 GB of it by default (older macOS versions: about 17.2 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 24 GB: M2, M3, M4, M4 Pro, M5, M5 Pro, M6 (memory bandwidth 100–307 GB/s - the higher, the faster). Everything about Macs and local AI →

24 GB unified · ~19.6 GB for the GPU · 100–307 GB/s · Apple Silicon. Everything that runs on it →

06Questions

How much VRAM does FLUX.2 dev need?

Around 16.2 GB with the smallest file (Q2_K) and 38.8 GB with an 8-bit file (FP8). The full 16-bit file needs about 67.7 GB.

Which FLUX.2 dev file should I download for the Mac 24 GB?

Q3_K_M (16.0 GB) from city96/FLUX.2-dev-gguf. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

FP8 or Q8_0 for FLUX.2 dev on the Mac 24 GB?

Q8_0 (35.0 GB). The Mac 24 GB has no FP8 maths, so FP8 (35.5 GB) only saves memory and is a step further from the original.

How much do I need to download for FLUX.2 dev on the Mac 24 GB?

51.9 GB: flux2-dev-Q3_K_M.gguf, mistral_3_small_flux2_bf16.safetensors, flux2-vae.safetensors.