Can the RTX 4050 Laptop 6 GB run Wan 2.1 T2V 1.3B?
Yes, but only just: 16-bit leaves 0.4 GB free on the RTX 4050 Laptop 6 GB.
16-bit (2.8 GB) fits with only 0.4 GB to spare (about 5.6 GB of 6 GB).
01What to download
| Part | File | Folder | Size | |
|---|---|---|---|---|
| Model | wan2.1_t2v_1.3B_fp16.safetensors 16-bit · Comfy-Org/Wan_2.1_ComfyUI_repackaged | models/diffusion_models | 2.8 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 → |
| Total download · keep about the same free on disk | 9.8 GB | |||
Alternatives: UMT5-XXL FP16 (11.4 GB). Sizes from Hugging Face, 2026-10-01.
02Every Wan 2.1 1.3B file on 6 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 2.8 GB | 5.6 GB | fits · 0.4 GB spare | the original weights | Hugging Face → |
| Q8_0 GGUF · samuelchristlie | 1.5 GB | 4.3 GB | fits · 1.7 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · samuelchristlie | 1.2 GB | 4.0 GB | fits · 2.0 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · samuelchristlie | 1.1 GB | 3.9 GB | fits · 2.1 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · samuelchristlie | 1.0 GB | 3.8 GB | fits · 2.2 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · samuelchristlie | 0.7 GB | 3.5 GB | fits · 2.5 GB spare | noticeable loss of detail | Hugging Face → |
“Needed” adds 2 GB of working memory for Wan 2.1 1.3B and a 0.8 GB reserve. Sizes 2026-10-01.
03The text encoder
Take the smallest UMT5-XXL 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. Why the encoder does not count against VRAM →
04Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Wan 2.1 1.3B on a RTX 4050 Laptop 6 GB, send your time per image and peak VRAM and it will appear here, credited.
05About the RTX 4050 Laptop 6 GB
The RTX 4050 Laptop 6 GB is an Ada Lovelace GPU with hardware FP8, so ComfyUI can compute Comfy-Org's FP8 files natively: small and fast. (Plain FP8 files use FP8 maths with the --fast fp8_matrix_mult option.) As a laptop GPU it runs at a lower power limit than desktop cards (35–115 W depending on the laptop). The memory verdicts are the same; speed depends heavily on how much power the laptop maker allows.
6 GB GDDR6 · 96-bit · Ada Lovelace · 35–115 W. Everything that runs on it →
06Questions
How much VRAM does Wan 2.1 1.3B need?
Around 3.5 GB with the smallest file (Q3_K_M) and 4.3 GB with an 8-bit file (Q8_0). The full 16-bit file needs about 5.6 GB.
Which Wan 2.1 1.3B file should I download for the RTX 4050 Laptop 6 GB?
16-bit (2.8 GB) from Comfy-Org/Wan_2.1_ComfyUI_repackaged.
How much do I need to download for Wan 2.1 1.3B on the RTX 4050 Laptop 6 GB?
9.8 GB: wan2.1_t2v_1.3B_fp16.safetensors, umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors.