Check my GPU →

Wan 2.1 T2V 14B on 10 GB of VRAM

Not entirely. Even Q3_K_M is 1.9 GB over 10 GB, so ComfyUI keeps part of it in system RAM. Alibaba's 14B text-to-video model. Figures assume a short clip at 480p; higher resolution and more frames need more memory.

Video model · 14BAny 10 GB GPUData 2026-10-01
Offload
Not entirely in VRAM, but it can still run.

Nothing fits entirely, but Q3_K_M (7.6 GB) overflows by only about 1.9 GB. ComfyUI keeps that part in system RAM automatically: slower than a full fit, but usable.

Best fileQ3_K_M
File size7.6 GB
VRAM needed~11.9 GB
System RAM32 GB+
Memory map · 10 GB GPU11.9 GB needed · 1.9 GB over 10 GB
06 GB12 GB
Weights Q3_K_M · 7.6 GBWorking memory · 3.5 GBReserve · 0.8 GBSpills to system RAM · 1.9 GB

Also try the FP8 file (14.3 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 →

Using Kijai's WanVideoWrapper instead of the native nodes? Its WanVideo BlockSwap node keeps part of the model in system RAM. To run the FP8 file (14.3 GB) on 10 GB, start with blocks_to_swap ≈ 26 (of 40). Each block is about 0.4 GB; raise the number if you still run out of memory, lower it for speed. estimate WanVideoWrapper →

02Every file, on 10 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
28.6 GB32.9 GB22.9 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · city96
15.9 GB20.2 GB10.2 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
14.3 GB18.6 GB8.6 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · city96
12.5 GB16.8 GB6.8 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · city96
11.3 GB15.6 GB5.6 GB too bigclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · city96
10.1 GB14.4 GB4.4 GB too biggood; some loss in fine detail and textHugging Face →
Q3_K_M ←
GGUF · city96
7.6 GB11.9 GBspills 1.9 GBnoticeable loss of detailHugging Face →

“Needed” adds 3.5 GB of working memory for Wan 2.1 14B and a 0.8 GB reserve. Sizes 2026-10-01.

03What to download

PartFileFolderSize
Modelwan2.1-t2v-14b-Q3_K_M.gguf
Q3_K_M · city96/Wan2.1-T2V-14B-gguf
models/unet7.6 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_2.1_ComfyUI_repackaged
models/vae0.3 GBDownload →
Total download · keep about the same free on disk14.6 GB

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