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FLUX.1 Kontext [dev] on 8 GB of VRAM

Not at full quality. The 16-bit and 8-bit files are too big for 8 GB; the largest that fits is Q3_K_M (5.4 GB). The image-editing member of the FLUX.1 family: give it a picture and an instruction, it changes only what you asked for.

Image model · 12BAny 8 GB GPUData 2026-10-01
Tight
Only just.

Q3_K_M (5.4 GB) fits with only 0.0 GB to spare (about 8.0 GB of 8 GB). Quality: noticeable loss of detail. For better quality, Q4_K_M (6.9 GB) also runs, with about 1.5 GB spilling into system RAM - a little slower, still practical.

Best fileQ3_K_M
File size5.4 GB
VRAM needed~8.0 GB
System RAM32 GB+
Memory map · 8 GB GPU8.0 GB / 8 GB
04 GB8 GB
Weights Q3_K_M · 5.4 GBWorking memory · 1.8 GBReserve · 0.8 GBFree · 0.0 GB

Also try the FP8 file (11.9 GB) on NVIDIA GPUs. 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 file, on 8 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · black-forest-labs
23.8 GB26.4 GB18.4 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · QuantStack
12.7 GB15.3 GB7.3 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
11.9 GB14.5 GB6.5 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · QuantStack
9.8 GB12.4 GB4.4 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · QuantStack
8.4 GB11.0 GB3.0 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · QuantStack
6.9 GB9.5 GBspills 1.5 GBgood; some loss in fine detail and textHugging Face →
Q3_K_M ←
GGUF · QuantStack
5.4 GB8.0 GBfits · 0.0 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · QuantStack
4.0 GB6.6 GBfits · 1.4 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 1.8 GB of working memory for FLUX.1 Kontext and a 0.8 GB reserve. Sizes 2026-10-01.

03What to download

PartFileFolderSize
Modelflux1-kontext-dev-Q3_K_M.gguf
Q3_K_M · QuantStack/FLUX.1-Kontext-dev-GGUF
models/unet5.4 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 disk10.8 GB

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

Free ComfyUI workflow, tested on my RTX 5060 Ti: FP8 workflow (.json) · GGUF Q8_0 workflow (.json). Drag the file into ComfyUI. All workflows →