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Can the RTX 4060 Ti 8 GB run FLUX.1 [schnell]?

Not at full quality. The 16-bit and 8-bit files are too big for the RTX 4060 Ti 8 GB; the largest that fits is Q3_K_S (5.2 GB).

Image model · 12B8 GB GDDR6 · 128-bit · 288 GB/s · Ada LovelaceData 2026-10-01
Tight
Only just.

Q3_K_S (5.2 GB) fits with only 0.5 GB to spare (about 7.5 GB of 8 GB). Quality: noticeable loss of detail. For better quality, Q4_K_S (6.8 GB) also runs, with about 1.1 GB spilling into system RAM - a little slower, still practical.

Best fileQ3_K_S
File size5.2 GB
VRAM needed~7.5 GB
System RAM32 GB+
Memory map · RTX 4060 Ti 8 GB7.5 GB / 8 GB
04 GB8 GB
Weights Q3_K_S · 5.2 GBWorking memory · 1.5 GBReserve · 0.8 GBFree · 0.5 GB

Also try the FP8 file (11.9 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 →

01What to download

PartFileFolderSize
Modelflux1-schnell-Q3_K_S.gguf
Q3_K_S · city96/FLUX.1-schnell-gguf
models/unet5.2 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 disk10.7 GB

Alternatives: T5-XXL FP16 (9.8 GB). Sizes from Hugging Face, 2026-10-01.

Free ComfyUI workflow, tested on my RTX 5060 Ti: GGUF Q8_0 workflow (.json). Drag the file into ComfyUI. All workflows →

02Every FLUX.1 schnell file on 8 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · black-forest-labs
23.8 GB26.1 GB18.1 GB too bigthe original weightsHugging Face →
FP8
SAFETENSORS · Kijai
11.9 GB14.2 GB6.2 GB too bigpractically identical to the originalHugging Face →
Q8_0
GGUF · city96
12.7 GB15.0 GB7.0 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · city96
9.8 GB12.1 GB4.1 GB too bigvery close to the originalHugging Face →
Q5_K_S
GGUF · city96
8.3 GB10.6 GB2.6 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_S
GGUF · city96
6.8 GB9.1 GBspills 1.1 GBgood; some loss in fine detail and textHugging Face →
Q3_K_S ←
GGUF · city96
5.2 GB7.5 GBfits · 0.5 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · city96
4.0 GB6.3 GBfits · 1.7 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 1.5 GB of working memory for FLUX.1 schnell and a 0.8 GB reserve. Sizes 2026-10-01.

03Measured and reported results

LabelSetupResultPeak VRAMDateSource
reportedFP8
“Flux-Schnell(FP8) … 2回目は24秒から11秒です。”
ComfyUI; same PC before/after swapping RTX 4060 Ti 8GB -> 16GB; 2nd-run times; resolution/steps not stated; 24 s = 8GB card
24 s / image—2025-01-03note.com →

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

04With more VRAM

With 16 GB you could run FLUX.1 schnell at 8-bit or better (FP8, 11.9 GB) with no offloading: for example on the RTX 5080 16 GB, RTX 5070 Ti 16 GB, RTX 5060 Ti 16 GB.

What changes from the RTX 4060 Ti 8 GB to the RTX 5060 Ti 16 GB →

05About the RTX 4060 Ti 8 GB

The RTX 4060 Ti 8 GB is an Ada Lovelace GPU with hardware FP8, so ComfyUI can compute Comfy-Org's FP8 files natively: small and fast. (Plain FP8 files use FP8 maths with the --fast fp8_matrix_mult option.)

8 GB GDDR6 · 128-bit · 288 GB/s · Ada Lovelace. Everything that runs on it →

06Questions

How much VRAM does FLUX.1 schnell need?

Around 6.3 GB with the smallest file (Q2_K) and 14.2 GB with an 8-bit file (FP8). The full 16-bit file needs about 26.1 GB.

Which FLUX.1 schnell file should I download for the RTX 4060 Ti 8 GB?

Q3_K_S (5.2 GB) from city96/FLUX.1-schnell-gguf. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

FP8 or Q8_0 for FLUX.1 schnell on the RTX 4060 Ti 8 GB?

FP8 (11.9 GB): the RTX 4060 Ti 8 GB computes it natively, while Q8_0 (12.7 GB) is unpacked on the fly.

How much do I need to download for FLUX.1 schnell on the RTX 4060 Ti 8 GB?

10.7 GB: flux1-schnell-Q3_K_S.gguf, t5xxl_fp8_e4m3fn.safetensors, clip_l.safetensors, ae.safetensors.