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README.md
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@@ -58,22 +58,6 @@ For VAE, the LightX2V team has conducted a series of deep optimizations, derivin
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β Average quality βββ
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β Potential detail loss
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### β‘ **LightTAE Series** (Our Optimization)
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**Features**: Fast Speed + Good Quality π
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Minimal memory usage (~0.4 GB)
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Extremely fast inference
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**Quality close to official** βββββ
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**Significantly surpasses open source TAE**
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β
Speed increased by **2-3x**
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Balances quality, speed, and memory π
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---
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β Average quality βββ
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β Potential detail loss
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</td>
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</tr>
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<tr>
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β
Speed increased by **2-3x**
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β
Balances quality, speed, and memory π
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| 74 |
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+
</td>
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+
<td width="50%">
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+
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### β‘ **LightTAE Series** (Our Optimization)
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+
**Features**: Fast Speed + Good Quality π
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+
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+
β
Minimal memory usage (~0.4 GB)
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+
β
Extremely fast inference
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+
β
**Quality close to official** βββββ
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+
β
**Significantly surpasses open source TAE**
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+
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</td>
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</tr>
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</table>
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---
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