Can the Arc B580 12 GB run Wan 2.1 T2V 1.3B?
Yes. 16-bit fits on the Arc B580 12 GB with 6.4 GB to spare.
16-bit (2.8 GB) needs about 5.6 GB in use, so 6.4 GB of the 12 GB stays free: room for a larger image, a LoRA or a ControlNet.
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 12 GB
| File | Size | Needed | On this card | Quality | Download |
|---|---|---|---|---|---|
| 16-bit ← SAFETENSORS · Comfy-Org | 2.8 GB | 5.6 GB | fits · 6.4 GB spare | the original weights | Hugging Face → |
| Q8_0 GGUF · samuelchristlie | 1.5 GB | 4.3 GB | fits · 7.7 GB spare | practically identical to the original | Hugging Face → |
| Q6_K GGUF · samuelchristlie | 1.2 GB | 4.0 GB | fits · 8.0 GB spare | very close to the original | Hugging Face → |
| Q5_K_M GGUF · samuelchristlie | 1.1 GB | 3.9 GB | fits · 8.1 GB spare | close; small differences in fine detail | Hugging Face → |
| Q4_K_M GGUF · samuelchristlie | 1.0 GB | 3.8 GB | fits · 8.2 GB spare | good; some loss in fine detail and text | Hugging Face → |
| Q3_K_M GGUF · samuelchristlie | 0.7 GB | 3.5 GB | fits · 8.5 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.
03Measured and reported results
Nobody has sent measured numbers for this pair yet. If you run Wan 2.1 1.3B on a Arc B580 12 GB, send your time per image and peak VRAM and it will appear here, credited.
04About the Arc B580 12 GB
Intel Arc GPUs run ComfyUI through PyTorch's native XPU support on Windows 11 and Linux. Memory works the same as on NVIDIA, so the fit verdicts apply. FP8 files save memory but give no speed-up, and some custom nodes are NVIDIA-only.
12 GB GDDR6 · 192-bit · 456 GB/s · Battlemage. Everything that runs on it →
05Questions
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 Arc B580 12 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 Arc B580 12 GB?
9.8 GB: wan2.1_t2v_1.3B_fp16.safetensors, umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors.