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Alibaba PAI PDD Acc 8-step (official distillation): Compatible GPUs, Download & Arena Rank
| Item | Value |
|---|---|
| Steps | 8 steps · ~2.1× faster |
| Quality cost | Low (official distillation) |
| Requires | ComfyUI>=0.33, ComfyUI-MiniMax-H3-PDD-Acc nodes, dedicated sigmas |
| Conflicts | none |
Representative GPUs: 864 × 480 · 8s
Combo: pruned INT8 + NVFP4 encoder + this acceleration + SageAttention, 32GB RAM / fast-disk.
| GPU | VRAM | 864×480 · 8s | Note |
|---|---|---|---|
| RTX 4060 8GB | 8GB | ⚠ 7 min 12 s | VRAM peak 7G |
| RTX 3060 12GB | 12GB | 6 min 50 s | VRAM peak 11G |
| RTX 4070 12GB | 12GB | 3 min 59 s | VRAM peak 11G |
| RTX 4070 Ti Super 16GB | 16GB | 2 min 54 s | VRAM peak 15G |
| RTX 4080 Super 16GB | 16GB | 2 min 36 s | VRAM peak 15G |
| RTX 4090 24GB | 24GB | 1 min 53 s | VRAM peak 23G |
| RTX 5090 32GB | 32GB | 1 min 22 s | VRAM peak 26G |
| RTX PRO 6000 Blackwell 96GB | 96GB | 1 min 17 s | VRAM peak 47G |
Which GPUs run 1344×768 · 5s
GTX 1060 6GB GTX 1070 8GB GTX 1080 8GB GTX 1080 Ti 11GB RTX 2060 6GB RTX 2060 12GB RTX 2060 Super 8GB RTX 2070 Super 8GB RTX 2080 Ti 11GB RTX 2080 Ti 22GB (modded) RTX 3050 8GB RTX 3060 8GB RTX 3060 12GB RTX 3060 Ti 8GB RTX 3070 8GB RTX 3070 16GB (modded) RTX 3070 Ti 8GB RTX 3080 10GB +30 more
→ Check your own GPU in the calculator (this option pre-selected)
FAQ
How much VRAM does Alibaba PAI PDD Acc 8-step (official distillation) need?
By our estimates, 1344×768 · 5s needs roughly 6GB+ of VRAM (48 of 49 listed GPUs workable). Small clips at 736×416·5s run on even less.
Can it be combined with other acceleration?
Pick one step-distilled option only — they change the sampling trajectory. Attention backends (Sage/Kitchen/SLA/VSA) and caches stack on top. PDD requires its dedicated node.
Where do I download it?
See the source links below — we only link to the official author repositories and never rehost files.
Sources
Related: LoRA blind-test leaderboard · Acceleration compared · All acceleration options