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Wan 2.2 I2V A14B on 32 GB of VRAM

Yes. Q8_0 fits on 32 GB with 12.3 GB to spare. The image-to-video Wan 2.2, and the most downloaded Wan 2.2 GGUF. Same two-model setup as the text-to-video version.

Video model · 14BAny 32 GB GPUData 2026-10-01
Runs well
Yes, with room to spare.

Q8_0 (15.4 GB) needs about 19.7 GB in use, so 12.3 GB of the 32 GB stays free: room for a larger image, a LoRA or a ControlNet.

Best fileQ8_0
File size15.4 GB
VRAM needed~19.7 GB
System RAM48 GB+
Memory map · 32 GB GPU19.7 GB / 32 GB
016 GB32 GB
Weights Q8_0 · 15.4 GBWorking memory · 3.5 GBReserve · 0.8 GBFree · 12.3 GB

Got an RTX 40 or 50? Swap Q8_0 for FP8 (14.3 GB): same quality class, computed natively there.

01What to download

PartFileFolderSize
ModelWan2.2-I2V-A14B-HighNoise-Q8_0.gguf
high-noise model (early steps)
Q8_0 · QuantStack/Wan2.2-I2V-A14B-GGUF
models/unet15.4 GBDownload →
ModelWan2.2-I2V-A14B-LowNoise-Q8_0.gguf
low-noise model (late steps)
Q8_0 · QuantStack/Wan2.2-I2V-A14B-GGUF
models/unet15.4 GBDownload →
Text encoderumt5_xxl_fp8_e4m3fn_scaled.safetensors
UMT5-XXL FP8 (scaled) · Comfy-Org/Wan_2.1_ComfyUI_repackaged
models/text_encoders6.7 GBDownload →
VAEwan_2.1_vae.safetensors
Wan 2.1 VAE · Comfy-Org/Wan_2.2_ComfyUI_Repackaged
models/vae0.3 GBDownload →
Total download · keep about the same free on disk37.8 GB

Alternatives: UMT5-XXL FP16 (11.4 GB). Sizes from Hugging Face, 2026-10-01.

System RAM: 48 GB or more. These files (both noise models) take about 37.8 GB of RAM while loaded, 43.8 GB with Windows and ComfyUI. What happens with less. calculated

02Every file, on 32 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
28.6 GB32.9 GBspills 0.9 GBthe original weightsHugging Face →
Q8_0 ←
GGUF · QuantStack
15.4 GB19.7 GBfits · 12.3 GB sparepractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
14.3 GB18.6 GBfits · 13.4 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · QuantStack
12.0 GB16.3 GBfits · 15.7 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · QuantStack
10.8 GB15.1 GBfits · 16.9 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · QuantStack
9.7 GB14.0 GBfits · 18.0 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · QuantStack
7.2 GB11.5 GBfits · 20.5 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · QuantStack
5.3 GB9.6 GBfits · 22.4 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 3.5 GB of working memory for Wan 2.2 I2V and a 0.8 GB reserve. Sizes 2026-10-01. Wan 2.2 A14B uses two files of this size (high-noise and low-noise); only one sits in VRAM at a time, both must fit in system RAM.