Datasheet for local AI49 models98 GPUsData read 2026-09-25
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FLUX.1 Krea [dev] on 12 GB of VRAM

Image model · 12BAny 12 GB GPUData 2026-09-25
Runs
Yes, with a compressed file.

Download Q5_K_M (8.4 GB). With the model's working memory it needs about 10.7 GB, leaving 1.3 GB spare on 12 GB. Quality: close; small differences in fine detail. For better quality, Q6_K (9.8 GB) also runs, with about 0.1 GB spilling into system RAM — a little slower, still practical.

Best fileQ5_K_M
File size8.4 GB
VRAM needed~10.7 GB
System RAM32 GB+
Memory map · 12 GB GPU10.7 GB / 12 GB
06 GB12 GB
Weights Q5_K_M · 8.4 GBWorking memory · 1.5 GBReserve · 0.8 GBFree · 1.3 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 (11.9 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
Modelflux1-krea-dev-Q5_K_M.gguf
Q5_K_M · QuantStack/FLUX.1-Krea-dev-GGUF
models/unet8.4 GBDownload →
Text encodert5xxl_fp8_e4m3fn.safetensors
T5-XXL FP8 · comfyanonymous/flux_text_encoders
models/text_encoders4.9 GBDownload →
Text encoderclip_l.safetensors
CLIP-L · comfyanonymous/flux_text_encoders
models/text_encoders0.2 GBDownload →
VAEae.safetensors
FLUX.1 VAE (ae) · Comfy-Org/Lumina_Image_2.0_Repackaged
models/vae0.3 GBDownload →
Total download · keep about the same free on disk13.9 GB

Alternatives: T5-XXL FP16 (9.8 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: 32 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 13.9 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 19.9 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
23.8 GB26.1 GB14.1 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · QuantStack
12.7 GB15.0 GB3.0 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
11.9 GB14.2 GB2.2 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · QuantStack
9.8 GB12.1 GBspills 0.1 GBvery close to the originalHugging Face →
Q5_K_M ←
GGUF · QuantStack
8.4 GB10.7 GBfits · 1.3 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · QuantStack
6.9 GB9.2 GBfits · 2.8 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · QuantStack
5.4 GB7.7 GBfits · 4.3 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · QuantStack
4.0 GB6.3 GBfits · 5.7 GB spareheavy loss; a last resortHugging Face →

Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 1.5 GB working memory for this model + 0.8 GB kept free for the system.

03The text encoder

T5-XXL: 9.8 GB as 16-bit, 4.9 GB as FP8, 2.9 GB as GGUF Q4_K_M (plus CLIP-L (0.25 GB)). 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 FP8 encoder fits on its own, so prompt encoding stays fast.