pith:ADJSTXNE
LongLive: Real-time Interactive Long Video Generation
LongLive turns a short-clip autoregressive model into a real-time system that generates up to 240-second videos at 20.7 FPS while accepting streaming prompt changes.
arxiv:2509.22622 v2 · 2025-09-26 · cs.CV
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Claims
With these key designs, LongLive fine-tunes a 1.3B-parameter short-clip model to minute-long generation in just 32 GPU-days. At inference, LongLive sustains 20.7 FPS on a single NVIDIA H100, achieves strong performance on VBench in both short and long videos. LongLive supports up to 240-second videos on a single H100 GPU.
The assumption that KV-recache combined with short-window attention and frame sink maintains visual consistency and semantic adherence across prompt transitions and long sequences without introducing cumulative artifacts or drift, as this is presented as sufficient based on the described training alignment.
LongLive is a causal autoregressive video generator that produces up to 240-second interactive videos at 20.7 FPS on one H100 GPU after 32 GPU-days of fine-tuning from a 1.3B short-clip model.
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| First computed | 2026-05-17T23:38:53.619263Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
00d329dda439e0481728b6a23d557ce7605d4efdcd66dadac49cb2680477fd3f
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ADJSTXNEHHQEQFZIW2RD2VL445 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 00d329dda439e0481728b6a23d557ce7605d4efdcd66dadac49cb2680477fd3f
Canonical record JSON
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