Check my GPU →

Wan 2.2 S2V 14B on 24 GB of VRAM

Yes, but only just: FP8 leaves 2.8 GB free on 24 GB. Sound-to-video: a talking or singing person from one image plus an audio track.

Video model · 16.3BAny 24 GB GPUData 2026-10-01
Runs well
Yes.

Take FP8 (16.4 GB). In use it comes to about 21.2 GB, with 2.8 GB left over on 24 GB.

Best fileFP8
File size16.4 GB
VRAM needed~21.2 GB
System RAM32 GB+
Memory map · 24 GB GPU21.2 GB / 24 GB
012 GB24 GB
Weights FP8 · 16.4 GBWorking memory · 4.0 GBReserve · 0.8 GBFree · 2.8 GB

Got an RTX 40 or 50? Swap Q8_0 for FP8 (16.4 GB): same quality class, computed natively there.

01What to download

PartFileFolderSize
Modelwan2.2_s2v_14B_fp8_scaled.safetensors
FP8 · Comfy-Org/Wan_2.2_ComfyUI_Repackaged
models/diffusion_models16.4 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 →
Also neededwav2vec2_large_english_fp16.safetensors
wav2vec2 large English FP16 (audio encoder) · Comfy-Org/Wan_2.2_ComfyUI_Repackaged
models/audio_encoders0.6 GBDownload →
Total download · keep about the same free on disk24.0 GB

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

02Every file, on 24 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
32.6 GB37.4 GB13.4 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · QuantStack
19.6 GB24.4 GBspills 0.4 GBpractically identical to the originalHugging Face →
FP8 ←
SAFETENSORS · Comfy-Org
16.4 GB21.2 GBfits · 2.8 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · QuantStack
16.2 GB21.0 GBfits · 3.0 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · QuantStack
15.0 GB19.8 GBfits · 4.2 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · QuantStack
13.9 GB18.7 GBfits · 5.3 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · QuantStack
11.4 GB16.2 GBfits · 7.8 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · QuantStack
9.5 GB14.3 GBfits · 9.7 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 4 GB of working memory for Wan 2.2 S2V and a 0.8 GB reserve. Sizes 2026-10-01.