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Copy file name to clipboardExpand all lines: docs/TheMatrixDocs/inference.html
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@@ -458,7 +458,7 @@ <h2>1.Inference with the_matrix.py<a class="headerlink" href="#inference-with-th
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<h2>2. Inference with run_interactive.sh<aclass="headerlink" href="#inference-with-run-interactive-sh" title="Permalink to this heading">#</a></h2>
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<sectionid="summary">
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<h3>Summary<aclass="headerlink" href="#summary" title="Permalink to this heading">#</a></h3>
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<p>run_interactive.sh launches a fully parallelized, low-latency pipeline that generates video at <strong>16 FPS</strong> end-to-end (i.e. real-time). This script leverages our 8-GPU DiT & VAE parallel inference, stream consistency models, and fused data training to reduce a single-GPU baseline’s 32 s per 4 s video down to 4 s—a <strong>8× speedup</strong>—while maintaining infinite-horizon stability.</p>
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<p>run_interactive.sh launches a fully parallelized, low-latency pipeline that generates video at <strong>16 FPS</strong> end-to-end (i.e. real-time). This script leverages our 8-GPU DiT & VAE parallel inference, stream consistency models to reduce a single-GPU baseline’s 32 s per 4 s video down to 4 s—a <strong>8× speedup</strong>—while maintaining infinite-horizon stability.</p>
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</section>
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<sectionid="highlights">
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<h3>Highlights<aclass="headerlink" href="#highlights" title="Permalink to this heading">#</a></h3>
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- Ideal for continuous/live deployments or performance benchmarking.</p></li>
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</section>
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<sectionid="performance-comparison">
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<h3>Performance Comparison<aclass="headerlink" href="#performance-comparison" title="Permalink to this heading">#</a></h3>
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<tableclass="table" id="id1">
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<caption><spanclass="caption-text">Inference throughput comparison for a 4 s video</span><aclass="headerlink" href="#id1" title="Permalink to this table">#</a></caption>
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