Can the RTX 5060 Ti 16 GB run Wan 2.2 TI2V 5B?
Timed on my own card, not estimated: 9 minutes for a 121-frame clip with the 16-bit file, peaking at 11.0 GB.
Take 16-bit (10.0 GB). In use it comes to about 13.8 GB, with 2.2 GB left over on 16 GB.
01My measurements
| Label | Setup | Result | Peak VRAM | Date | Source |
|---|---|---|---|---|---|
| measured | wan2.2_ti2v_5B_fp16.safetensors · 1280x704 · 20 steps Text to video, 121 frames (about 5 s at 24 fps). 2 timed runs (516.2 and 514.0 s) after 1 warm-up (528.9 s incl. loading). UMT5-XXL FP8 + Wan 2.2 VAE, uni_pc/simple, CFG 5, shift 8 | 515.1 s / clip (121 frames) | 11.0 GB | 2026-09-27 |
02What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | wan2.2_ti2v_5B_fp16.safetensors 16-bit · Comfy-Org/Wan_2.2_ComfyUI_Repackaged | models/diffusion_models | 10.0 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 | wan2.2_vae.safetensors Wan 2.2 VAE · Comfy-Org/Wan_2.2_ComfyUI_Repackaged | models/vae | 1.4 GB | Download → |
| Total download · keep about the same free on disk | 18.1 GB | |||
Alternatives: UMT5-XXL FP16 (11.4 GB). Sizes from Hugging Face, 2026-10-01.
Free ComfyUI workflow, tested on my RTX 5060 Ti: text to video workflow (.json). Drag the file into ComfyUI. All workflows →
03Every Wan 2.2 5B file on 16 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 10.0 GB | 13.8 GB | fits · 2.2 GB spare | the original weights | Hugging Face → |
| Q8_0 GGUF · QuantStack | 5.4 GB | 9.2 GB | fits · 6.8 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · QuantStack | 4.2 GB | 8.0 GB | fits · 8.0 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · QuantStack | 3.8 GB | 7.6 GB | fits · 8.4 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · QuantStack | 3.4 GB | 7.2 GB | fits · 8.8 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · QuantStack | 2.5 GB | 6.3 GB | fits · 9.7 GB spare | noticeable loss of detail | Hugging Face → |
| Q2_K GGUF · QuantStack | 1.9 GB | 5.7 GB | fits · 10.3 GB spare | heavy loss; a last resort | Hugging Face → |
“Needed” adds 3 GB of working memory for Wan 2.2 5B and a 0.8 GB reserve. Sizes 2026-10-01.
04Questions
How much VRAM does Wan 2.2 5B need?
Around 5.7 GB with the smallest file (Q2_K) and 9.2 GB with an 8-bit file (Q8_0). The full 16-bit file needs about 13.8 GB.
Which Wan 2.2 5B file should I download for the RTX 5060 Ti 16 GB?
16-bit (10.0 GB) from Comfy-Org/Wan_2.2_ComfyUI_Repackaged.
How much do I need to download for Wan 2.2 5B on the RTX 5060 Ti 16 GB?
18.1 GB: wan2.2_ti2v_5B_fp16.safetensors, umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan2.2_vae.safetensors.