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Can the RTX 5070 Laptop 8 GB run FLUX.2 [klein] 9B?

Not at full quality. The 16-bit and 8-bit files are too big for the RTX 5070 Laptop 8 GB; the largest that fits is Q3_K_M (4.8 GB).

Image model · 9B8 GB GDDR7 · 128-bit · 384 GB/s · Blackwell · 50–100 WData 2026-10-01
Tight
Only just.

Q3_K_M (4.8 GB) fits with only 0.9 GB to spare (about 7.1 GB of 8 GB). Quality: noticeable loss of detail. For better quality, Q4_K_M (5.9 GB) also runs, with about 0.2 GB spilling into system RAM - a little slower, still practical.

Best fileQ3_K_M
File size4.8 GB
VRAM needed~7.1 GB
System RAM32 GB+
Memory map · RTX 5070 Laptop 8 GB7.1 GB / 8 GB
04 GB8 GB
Weights Q3_K_M · 4.8 GBWorking memory · 1.5 GBReserve · 0.8 GBFree · 0.9 GB

Also try the FP8 file (9.4 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
Modelflux-2-klein-9b-Q3_K_M.gguf
Q3_K_M · unsloth/FLUX.2-klein-9B-GGUF
models/unet4.8 GBDownload →
Text encoderqwen_3_8b_fp8mixed.safetensors
Qwen3 8B FP8 · Comfy-Org/flux2-klein-9B
models/text_encoders8.7 GBDownload →
VAEflux2-vae.safetensors
FLUX.2 VAE · Comfy-Org/flux2-dev
models/vae0.3 GBDownload →
Total download · keep about the same free on disk13.8 GB

Alternatives: Qwen3 8B BF16 (16.4 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.2 klein 9B file on 8 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · black-forest-labs
18.2 GB20.5 GB12.5 GB too bigthe original weightsHugging Face →
FP8
SAFETENSORS · black-forest-labs
9.4 GB11.7 GB3.7 GB too bigpractically identical to the originalHugging Face →
Q8_0
GGUF · unsloth
10.0 GB12.3 GB4.3 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · unsloth
7.9 GB10.2 GB2.2 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · unsloth
7.0 GB9.3 GBspills 1.3 GBclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · unsloth
5.9 GB8.2 GBspills 0.2 GBgood; some loss in fine detail and textHugging Face →
Q3_K_M ←
GGUF · unsloth
4.8 GB7.1 GBfits · 0.9 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · unsloth
4.0 GB6.3 GBfits · 1.7 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 1.5 GB of working memory for FLUX.2 klein 9B and a 0.8 GB reserve. Sizes 2026-10-01.

03The text encoder

At 8.7 GB even the smallest Qwen3 8B file is too big for 8 GB, so it runs from system RAM. That slows down reading the prompt, not the picture. Sizes: 16-bit 16.4 GB, FP8 8.7 GB. Why the encoder does not count against VRAM →

04Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run FLUX.2 klein 9B on a RTX 5070 Laptop 8 GB, send your time per image and peak VRAM and it will appear here, credited.

05With more VRAM

With 12 GB you could run FLUX.2 klein 9B at 8-bit or better (FP8, 9.4 GB) with no offloading: for example on the RTX 5070 12 GB, RTX 4070 Super 12 GB, RTX 4070 12 GB.

06About the RTX 5070 Laptop 8 GB

The RTX 5070 Laptop 8 GB is a Blackwell GPU with FP8 and FP4 hardware: ComfyUI computes Comfy-Org's FP8 files natively here, and NVFP4 files (where a model offers them) are faster still. As a laptop GPU it runs at a lower power limit than desktop cards (50–100 W depending on the laptop). The memory verdicts are the same; speed depends heavily on how much power the laptop maker allows.

8 GB GDDR7 · 128-bit · 384 GB/s · Blackwell · 50–100 W. Everything that runs on it →

07Questions

How much VRAM does FLUX.2 klein 9B need?

Around 6.3 GB with the smallest file (Q2_K) and 11.7 GB with an 8-bit file (FP8). The full 16-bit file needs about 20.5 GB.

Which FLUX.2 klein 9B file should I download for the RTX 5070 Laptop 8 GB?

Q3_K_M (4.8 GB) from unsloth/FLUX.2-klein-9B-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

FP8 or Q8_0 for FLUX.2 klein 9B on the RTX 5070 Laptop 8 GB?

FP8 (9.4 GB): the RTX 5070 Laptop 8 GB computes it natively, while Q8_0 (10.0 GB) is unpacked on the fly.

How much do I need to download for FLUX.2 klein 9B on the RTX 5070 Laptop 8 GB?

13.8 GB: flux-2-klein-9b-Q3_K_M.gguf, qwen_3_8b_fp8mixed.safetensors, flux2-vae.safetensors.