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Yi30/vbench-wan22-t2v-dense93-xpu

VBench dense93 — Wan2.2 T2V videos (Intel XPU / vLLM-Omni) 93 text-to-video generations for the VBench "dense93" prompt set, produced with Wan2.2-T2V-A14B (Diffusers) served by vLLM-Omni on Intel XPU (oneAPI, 720x1280 @ 16fps, 81 frames, 40 denoise steps, guidance 4.0/3.0, boundary 0.875, flow shift 5.0, seed 42, MXFP8 linear + cache-dit + Sage V3 hybrid attention with SDPA fallback on blocks 33,34,38,39). One video per prompt; file name = <prompt>-0.mp4 (prompt list:… See the full description on the dataset page: https://huggingface.co/datasets/Yi30/vbench-wan22-t2v-dense93-xpu.

sourceHugging Faceupdated 14d agoView on Hugging Face

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VBench dense93 — Wan2.2 T2V videos (Intel XPU / vLLM-Omni)

93 text-to-video generations for the VBench "dense93" prompt set, produced with Wan2.2-T2V-A14B (Diffusers) served by vLLM-Omni on Intel XPU (oneAPI, 720x1280 @ 16fps, 81 frames, 40 denoise steps, guidance 4.0/3.0, boundary 0.875, flow shift 5.0, seed 42, MXFP8 linear + cache-dit + Sage V3 hybrid attention with SDPA fallback on blocks 33,34,38,39).

—One video per prompt; file name = <prompt>-0.mp4 (prompt list: prompts_full93.txt, one prompt per line).
—Generated 2026-09-11 .. 2026-09-13 on node D93-C (container yi-wan).
—All 93 passed a full-frame luminance (black-frame) scan.

Note: the dataset spans three kernel builds (see bench-omni-wan/docs/vbench_dense93_handoff.md, section 10); regenerate on one build if strict uniformity is required for scoring.