Home / GPU guide / RTX 4080 Super 16GB
| Size (16:9) | 5s | 8s | 10s | 15s |
|---|---|---|---|---|
| 416 × 256 0.1MP · flicker-prone | 52 s VRAM 15G | 60 s VRAM 15G | 1 min 5 s VRAM 15G | 1 min 18 s VRAM 15G |
| 864 × 480 0.4MP | 1 min 30 s VRAM 15G | 2 min 4 s VRAM 15G | 2 min 32 s VRAM 15G | 3 min 57 s VRAM 15G |
| 960 × 544 0.5MP | 1 min 44 s VRAM 15G | 2 min 34 s VRAM 15G | 3 min 13 s VRAM 15G | 5 min 17 s VRAM 15G |
| 1152 × 640 0.7MP | 2 min 17 s VRAM 15G | 3 min 43 s VRAM 15G | 4 min 53 s VRAM 15G | 8 min 47 s VRAM 15G |
| 1376 × 768 1.0MP · above native | 3 min 18 s VRAM 15G | 5 min 54 s VRAM 15G | 8 min 12 s VRAM 15G | 16 min 20 s VRAM 15G |
| 1920 × 1088 2.0MP · above native | 8 min 12 s VRAM 15G | 18 min 15 s VRAM 15G | 28 min 16 s VRAM 15G | 1.1 h VRAM 15G |
Times are per whole clip (model load and text encoding included); the first run is slower due to kernel compilation. ⚠ = weight offloading / noticeably slower; ✕ = not recommended.
--fast-disk768p 5s; 4-8 steps; 1-5 min per clip
Yes. Estimated with 32GB RAM + fast-disk: 1920×1088·15s at ~1.1 h per clip. Configs that exceed VRAM fall back to weight offloading (slower, but they still render).
About 1.1 h per 1920×1088·15s clip (including model load and encoding). Longer or denser clips scale quadratically in the attention term.
At least 64GB of system RAM recommended (minimum 32GB plus a 16GB pagefile). With 32GB, always enable --fast-disk or weights spill into the pagefile.
Stack step distillation (e.g. LightX2V Turbo 4-step v1.1 768p), enable SageAttention / Kitchen attention; for long clips try SLA / VSA sparse attention. All of it is switchable in step 2 of the calculator.
→ Run the numbers for your RAM and budget in the calculator (RTX 4080 Super 16GB pre-filled)
Same tier: RTX 3090 24GB · RTX 4070 Ti Super 16GB · RTX 4080 16GB · RTX 4090 24GB · RTX 4090 D 24GB · RTX 5070 Ti 16GB · RTX 5080 16GB
Related: Hardware guide · Acceleration compared · 8GB VRAM setups