Datasheet for local AI49 models98 GPUsData read 2026-09-25
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FLUX.2 [dev] on 12 GB of VRAM

Image model · 32BAny 12 GB GPUData 2026-09-25
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Not entirely in VRAM, but it can still run.

The smallest sensible file, Q4_K_M (20.1 GB), needs about 23.4 GB — 11.4 GB more than 12 GB GPU has. ComfyUI can still run it by streaming part of the model from system RAM. How much slower that is depends on your ComfyUI version, the file format and the PCIe link — see the note below.

Best fileQ4_K_M
File size20.1 GB
VRAM needed~23.4 GB
System RAM48 GB+
Memory map · 12 GB GPU23.4 GB needed · 11.4 GB over 12 GB
012 GB23 GB
Weights Q4_K_M · 20.1 GBWorking memory · 2.5 GBReserve · 0.8 GBSpills to system RAM · 11.4 GB
calculated from real file sizes plus working memory. Not yet measured on this setup. How this works.

Worth trying on NVIDIA GPUs: with an up-to-date ComfyUI, Dynamic VRAM (on by default for NVIDIA since March 2026) streams whatever does not fit from system RAM, and ComfyUI's own start-up message recommends native FP8/INT8 files over GGUF, saying they “will be faster even if they are larger than your memory”. So before settling for a heavily compressed GGUF, try the native FP8 file (35.5 GB). The file recommended above is the best one that fits entirely — the safe choice on older ComfyUI versions, AMD and Intel. Comfy blog: Dynamic VRAM →

01What to download

PartFileFolderSize
Modelflux2-dev-Q4_K_M.gguf
Q4_K_M · city96/FLUX.2-dev-gguf
models/unet20.1 GBDownload →
Text encodermistral_3_small_flux2_fp8.safetensors
Mistral 3 Small FP8 · Comfy-Org/flux2-dev
models/text_encoders18.0 GBDownload →
VAEflux2-vae.safetensors
FLUX.2 VAE · Comfy-Org/flux2-dev
models/vae0.3 GBDownload →
Total download · keep about the same free on disk38.5 GB

Alternatives: Mistral 3 Small BF16 (35.6 GB). The 16-bit text encoder is a little more faithful; the smaller one is chosen here because it loads faster and needs less RAM. Sizes read from Hugging Face (2026-09-25). “Download” links start the file directly; the file name links are the same files the official ComfyUI workflows use.

System RAM: 48 GB or more. ComfyUI keeps the model file, the text encoder and the VAE in system RAM and moves them to the GPU as needed. With this set of files that is about 38.5 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 44.5 GB in total. With less RAM it still runs, but Windows starts swapping to disk and loading gets very slow. calculated

02Every file, on 12 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · black-forest-labs
64.4 GB67.7 GB55.7 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · city96
35.0 GB38.3 GB26.3 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
35.5 GB38.8 GB26.8 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · city96
27.4 GB30.7 GB18.7 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · city96
24.1 GB27.4 GB15.4 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M ←
GGUF · city96
20.1 GB23.4 GB11.4 GB too biggood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · city96
16.0 GB19.3 GB7.3 GB too bignoticeable loss of detailHugging Face →
Q2_K
GGUF · city96
12.9 GB16.2 GB4.2 GB too bigheavy loss; a last resortHugging Face →

Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 2.5 GB working memory for this model + 0.8 GB kept free for the system.

03The text encoder

Mistral Small 3 (24B): 35.6 GB as 16-bit, 18.0 GB as FP8. ComfyUI encodes the prompt first and can push the encoder out of VRAM before sampling, so it does not have to fit together with the model. On 12 GB the encoder itself is too big for VRAM, so let it run from system RAM: slower prompt encoding, same images.