Can the RTX 2060 6 GB run Wan 2.1 I2V 14B 720P?
Not entirely. Even Q4_K_M is 12.1 GB over 6 GB, so ComfyUI keeps part of it in system RAM.
The smallest sensible file, Q4_K_M (11.3 GB), needs about 18.1 GB - 12.1 GB more than RTX 2060 6 GB has. ComfyUI can still run it by streaming part of the model from system RAM. How much slower that is depends on your ComfyUI version, the file format and the PCIe link - see the note below.
Also try the FP8 file (16.4 GB) on this GPU. 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 →
Kijai's WanVideoWrapper (BlockSwap): even with all 40 blocks swapped to system RAM, the FP8 file would not fit on 6 GB. Use a GGUF file instead. estimate
01With more VRAM
With 24 GB you could run Wan 2.1 I2V 720P at 8-bit or better (FP8, 16.4 GB) with no offloading: for example on the RTX 4090 24 GB, RTX 3090 24 GB, RX 7900 XTX 24 GB.
What changes from the RTX 2060 6 GB to the RTX 3060 12 GB → · What changes from the RTX 2060 6 GB to the RTX 5060 Ti 16 GB →
02Every Wan 2.1 I2V 720P file on 6 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit SAFETENSORS · Comfy-Org | 32.8 GB | 39.6 GB | 33.6 GB too big | the original weights | Hugging Face → |
| Q8_0 GGUF · city96 | 18.1 GB | 24.9 GB | 18.9 GB too big | practically identical to the original | Hugging Face → |
| FP8 SAFETENSORS · Comfy-Org | 16.4 GB | 23.2 GB | 17.2 GB too big | practically identical to the original | Hugging Face → |
| Q6_K GGUF · city96 | 14.2 GB | 21.0 GB | 15.0 GB too big | very close to the original | Hugging Face → |
| Q5_K_M GGUF · city96 | 12.7 GB | 19.5 GB | 13.5 GB too big | close; small differences in fine detail | Hugging Face → |
| Q4_K_M ← GGUF · city96 | 11.3 GB | 18.1 GB | 12.1 GB too big | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · city96 | 8.6 GB | 15.4 GB | 9.4 GB too big | noticeable loss of detail | Hugging Face → |
“Needed” adds 6 GB of working memory for Wan 2.1 I2V 720P and a 0.8 GB reserve. Sizes 2026-10-01.
03What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | wan2.1-i2v-14b-720p-Q4_K_M.gguf Q4_K_M · city96/Wan2.1-I2V-14B-720P-gguf | models/unet | 11.3 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_2.1_ComfyUI_repackaged | models/vae | 0.3 GB | Download → |
| Also needed | clip_vision_h.safetensors CLIP Vision H · Comfy-Org/Wan_2.1_ComfyUI_repackaged | models/clip_vision | 1.3 GB | Download → |
| Total download · keep about the same free on disk | 19.6 GB | |||
Alternatives: UMT5-XXL FP16 (11.4 GB). Sizes from Hugging Face, 2026-10-01.
04The text encoder
Take the smallest UMT5-XXL + CLIP Vision H file (3.7 GB): it is the only one that fits in 6 GB on its own. Sizes: 16-bit 11.4 GB, FP8 6.7 GB, GGUF Q4_K_M 3.7 GB (plus CLIP Vision H (1.3 GB) for the input image). Why the encoder does not count against VRAM →
05Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Wan 2.1 I2V 720P on a RTX 2060 6 GB, send your time per image and peak VRAM and it will appear here, credited.
06About the RTX 2060 6 GB
The RTX 2060 6 GB (Turing) has no FP8 compute. FP8 files still load and save memory, but ComfyUI converts them back before the maths, so there is no speed gain - Q8_0 GGUF is the closer-to-original 8-bit choice. ComfyUI can compute INT8 files natively on NVIDIA, which is worth a try where a model offers one.
6 GB GDDR6 · 192-bit · 336 GB/s · Turing. Everything that runs on it →
07Questions
How much VRAM does Wan 2.1 I2V 720P need?
Around 15.4 GB with the smallest file (Q3_K_M) and 23.2 GB with an 8-bit file (FP8). The full 16-bit file needs about 39.6 GB.
Which Wan 2.1 I2V 720P file should I download for the RTX 2060 6 GB?
Q4_K_M (11.3 GB) from city96/Wan2.1-I2V-14B-720P-gguf. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.
FP8 or Q8_0 for Wan 2.1 I2V 720P on the RTX 2060 6 GB?
Q8_0 (18.1 GB). The RTX 2060 6 GB has no FP8 maths, so FP8 (16.4 GB) only saves memory and is a step further from the original.
How much do I need to download for Wan 2.1 I2V 720P on the RTX 2060 6 GB?
19.6 GB: wan2.1-i2v-14b-720p-Q4_K_M.gguf, umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors, clip_vision_h.safetensors.