Check my GPU →

Can the RTX 5060 Ti 16 GB run FLUX.2 [dev]?

Not entirely. Even Q2_K is 0.2 GB over 16 GB, so ComfyUI keeps part of it in system RAM.

Image model · 32B16 GB GDDR7 · 128-bit · 448 GB/s · BlackwellData 2026-10-01
Offload
Not entirely in VRAM, but it can still run.

Nothing fits entirely, but Q2_K (12.9 GB) overflows by only about 0.2 GB. ComfyUI keeps that part in system RAM automatically: slower than a full fit, but usable.

Best fileQ2_K
File size12.9 GB
VRAM needed~16.2 GB
System RAM48 GB+
Memory map · RTX 5060 Ti 16 GB16.2 GB needed · 0.2 GB over 16 GB
08 GB16 GB
Weights Q2_K · 12.9 GBWorking memory · 2.5 GBReserve · 0.8 GBSpills to system RAM · 0.2 GB

Also try the FP8 file (35.5 GB) on this GPU. It does not fit entirely, but a current ComfyUI streams the overflow from RAM and native 8-bit files often beat a small GGUF that does fit. Dynamic VRAM →

02Every FLUX.2 dev file on 16 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · black-forest-labs
64.4 GB67.7 GB51.7 GB too bigthe original weightsHugging Face →
FP8
SAFETENSORS · Comfy-Org
35.5 GB38.8 GB22.8 GB too bigpractically identical to the originalHugging Face →
Q8_0
GGUF · city96
35.0 GB38.3 GB22.3 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · city96
27.4 GB30.7 GB14.7 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · city96
24.1 GB27.4 GB11.4 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · city96
20.1 GB23.4 GB7.4 GB too biggood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · city96
16.0 GB19.3 GB3.3 GB too bignoticeable loss of detailHugging Face →
Q2_K ←
GGUF · city96
12.9 GB16.2 GBspills 0.2 GBheavy 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.

03What to download

PartFileFolderSize
Modelflux2-dev-Q2_K.gguf
Q2_K · city96/FLUX.2-dev-gguf
models/unet12.9 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 disk31.2 GB

Alternatives: Mistral 3 Small BF16 (35.6 GB). Sizes from Hugging Face, 2026-10-01.

System RAM: 48 GB or more. These files take about 31.2 GB of RAM while loaded, 37.2 GB with Windows and ComfyUI. What happens with less. calculated

04The text encoder

At 18.0 GB even the smallest Mistral Small 3 (24B) file is too big for 16 GB, so it runs from system RAM. That slows down reading the prompt, not the picture. Sizes: 16-bit 35.6 GB, FP8 18.0 GB. Why the encoder does not count against VRAM →

05Measured and reported results

LabelSetupResultPeak VRAMDateSource
reportedflux2_dev_fp8mixed + mistral_3_small_flux2_fp8 · 1024x1024 · 20 steps
“FP8 t2i 142秒程度(20Steps)”
ComfyUI t2i at 1MP; approximate (程度)
142 s / image—2025-11-28note.com →
reportedGGUF Q4_0 (flux2-dev-q4_0.gguf) · 1024x1024 · 20 steps
“GGUF Q4_0 t2i 180秒程度(20Steps)”
ComfyUI t2i at 1MP; approximate (程度); author notes GGUF slower than fp8 when spilling VRAM
180 s / image—2025-11-28note.com →

Other people's numbers are copied as published, with a link. Send yours.

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 RTX 5060 Ti 16 GB?

Q2_K (12.9 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 RTX 5060 Ti 16 GB?

FP8 (35.5 GB): the RTX 5060 Ti 16 GB computes it natively, while Q8_0 (35.0 GB) is unpacked on the fly.

How much do I need to download for FLUX.2 dev on the RTX 5060 Ti 16 GB?

31.2 GB: flux2-dev-Q2_K.gguf, mistral_3_small_flux2_fp8.safetensors, flux2-vae.safetensors.