Measured runtime memory usage (pyTorch)
#6
by HexGrimm - opened
The model card lists the 37.53 MB weight footprint but not runtime memory, so I measured
the process. Numbers below are from Windows 11, RTX 4080 SUPER, Python 3.13,
torch 2.10.0+cu128, device="cuda".
| Stage | Process RSS | VRAM peak-alloc | VRAM reserved |
|---|---|---|---|
import torch only |
479 MB | 0 | 0 |
| model loaded | 715 MB | 39 MB | 46 MB |
| 3 s clip | 1344 MB | 87 MB | 110 MB |
| 16 s clip | 1391 MB | 260 MB | 380 MB |
| 125 s clip | 1425 MB | 262 MB | 558 MB |
Live VRAM after each synthesis settles at ~44 MB. CPU-only (device="cpu"): 480 MB after
import, 636 MB after load, 916 MB at 16 s, 1089 MB at 125 s.