Wan 2.2 S2V 14B on 32 GB of VRAM
Yes. Q8_0 fits on 32 GB with 7.6 GB to spare. Sound-to-video: a talking or singing person from one image plus an audio track.
Runs well
Yes, with room to spare.
Q8_0 (19.6 GB) needs about 24.4 GB in use, so 7.6 GB of the 32 GB stays free: room for a larger image, a LoRA or a ControlNet.
Best fileQ8_0
File size19.6 GB
VRAM needed~24.4 GB
System RAM48 GB+
Memory map · 32 GB GPU24.4 GB / 32 GB
016 GB32 GB
Weights Q8_0 · 19.6 GBWorking memory · 4.0 GBReserve · 0.8 GBFree · 7.6 GB
calculated How this is counted.
Got an RTX 40 or 50? Swap Q8_0 for FP8 (16.4 GB): same quality class, computed natively there.
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | Wan2.2-S2V-14B-Q8_0.gguf Q8_0 · QuantStack/Wan2.2-S2V-14B-GGUF | models/unet | 19.6 GB | Download → |
| Text encoder | umt5_xxl_fp8_e4m3fn_scaled.safetensors UMT5-XXL FP8 (scaled) · Comfy-Org/Wan_2.1_ComfyUI_repackaged | models/text_encoders | 6.7 GB | Download → |
| VAE | wan_2.1_vae.safetensors Wan 2.1 VAE · Comfy-Org/Wan_2.2_ComfyUI_Repackaged | models/vae | 0.3 GB | Download → |
| Also needed | wav2vec2_large_english_fp16.safetensors wav2vec2 large English FP16 (audio encoder) · Comfy-Org/Wan_2.2_ComfyUI_Repackaged | models/audio_encoders | 0.6 GB | Download → |
| Total download · keep about the same free on disk | 27.2 GB | |||
Alternatives: UMT5-XXL FP16 (11.4 GB). Sizes from Hugging Face, 2026-10-01.
System RAM: 48 GB or more. These files take about 27.2 GB of RAM while loaded, 33.2 GB with Windows and ComfyUI. What happens with less. calculated
02Every file, on 32 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 32.6 GB | 37.4 GB | 5.4 GB too big | the original weights | Hugging Face → |
| Q8_0 ← GGUF · QuantStack | 19.6 GB | 24.4 GB | fits · 7.6 GB spare | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 16.4 GB | 21.2 GB | fits · 10.8 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · QuantStack | 16.2 GB | 21.0 GB | fits · 11.0 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · QuantStack | 15.0 GB | 19.8 GB | fits · 12.2 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · QuantStack | 13.9 GB | 18.7 GB | fits · 13.3 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · QuantStack | 11.4 GB | 16.2 GB | fits · 15.8 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · QuantStack | 9.5 GB | 14.3 GB | fits · 17.7 GB spare | heavy loss; a last resort | Hugging Face → |
“Needed” adds 4 GB of working memory for Wan 2.2 S2V and a 0.8 GB reserve. Sizes 2026-10-01.