Clarify H3ddle install and model benchmarks
Browse files
README.md
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@@ -21,6 +21,15 @@ for H3ddle's native Apple-Silicon Metal engine. It is published with permission
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from the MiniMax/Hailuo team and remains subject to the included MiniMax H3
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Community License Agreement.
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The source checkpoint is
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[`FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree`](https://huggingface.co/FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree)
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at revision `b65818d41939b5085451074fe8ca8b799f8d4921`.
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## Measured performance
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A controlled 512×512, 124-frame comparison on a 32 GB M1 Pro used the same
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prompt, soundscape, seed,
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The native deterministic VSA GPU/CPU test measured cosine similarity
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`0.999998633`, mean absolute error `0.000065549`, and maximum error
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480 pixels. It does not support still-image generation, start/end frames,
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ordered image references, or video inpainting. H3ddle enforces these constraints
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in both the app and the native engine.
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from the MiniMax/Hailuo team and remains subject to the included MiniMax H3
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Community License Agreement.
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## Use in H3ddle
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**FastH3 · VSA is included in H3ddle's managed model catalog.** Users do not
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need to download this repository manually, merge checkpoints, run a conversion
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script, or configure a model folder. In H3ddle, open **Models**, choose
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**FastH3 · VSA** under **Video**, and select **Install**. The app downloads and
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verifies this pinned transformer and reuses shared H3 components that are
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already installed.
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The source checkpoint is
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[`FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree`](https://huggingface.co/FastVideo/FastVideo-FastH3-4-step-Preview-v1-VSA-DataFree)
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at revision `b65818d41939b5085451074fe8ca8b799f8d4921`.
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## Measured performance
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A controlled 512×512, 124-frame comparison on a 32 GB M1 Pro used the same
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prompt, soundscape, seed, and cache settings. The measured outputs were
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5.175-second H.264 clips at 24 fps with stereo AAC:
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| H3 model | Released passes | Attention | End-to-end time | Compared with VSA | Evidence |
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| --- | ---: | --- | ---: | ---: | --- |
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| Standard | 20 | Dense | ~4,253 s (~70.9 min) | ~6.11× slower | Schedule-normalized estimate |
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| Turbo | 8 | Dense | ~1,782 s (~29.7 min) | ~2.56× slower | Schedule-normalized estimate |
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| FastH3 Dense | 4 | Dense | 958.174 s (16.0 min) | 1.377× slower | Measured conversion baseline |
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| **FastH3 · VSA** | **4** | **Learned VSA, 90% sparse** | **696.043 s (11.6 min)** | **Baseline** | **Measured** |
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The Standard and Turbo rows are estimates, not completed matched runs. They
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subtract the 134.439-second fixed pipeline cost observed in a phase-instrumented
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matched-shape receipt, scale only the measured dense transformer work from four
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passes to the released 8- and 20-pass schedules, and then add the fixed cost
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back. The FastH3 Dense and VSA rows are direct end-to-end measurements.
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These are local M1 Pro results, not projections for every Apple-Silicon device.
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The direct four-call comparison is a 27.4% end-to-end reduction, or 1.377×
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throughput, for learned VSA versus Dense.
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The native deterministic VSA GPU/CPU test measured cosine similarity
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`0.999998633`, mean absolute error `0.000065549`, and maximum error
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480 pixels. It does not support still-image generation, start/end frames,
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ordered image references, or video inpainting. H3ddle enforces these constraints
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in both the app and the native engine.
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