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+ "bgcolor": "#653",
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+ "type": "VAE",
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+ "link": 20399
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+ "label": "ref_image_0",
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+ "shape": 7,
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+ "type": "IMAGE",
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+ "link": 8
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+ "localized_name": "ref_image_1",
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+ "type": "IMAGE",
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+ "label": "ref_video_audio_0",
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+ "localized_name": "ref_video_audio_0",
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+ "name": "ref_video_audios.ref_video_audio_0",
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+ "shape": 7,
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+ "type": "AUDIO",
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+ "link": null
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+ "label": "ref_audio_0",
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+ "localized_name": "ref_audio_0",
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+ "name": "ref_audios.ref_audio_0",
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+ "shape": 7,
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+ "type": "AUDIO",
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+ "link": null
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+ "localized_name": "prompt",
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+ "## Speed Patches \u2014 PK / H3 SLA\n\nChain applies bottom-up on the MODEL. Toggle each group on/off with the bypasser above.\n\n- **1. FP16 Accumulation** (`ModelPatchTorchSettings`): free speed on RTX 30xx+ / most modern GPUs. Safe to leave on.\n- **2. LowVRAM Attention** (`MiniMaxLowVRAMAttention`): splits attention into head chunks. Reduces peak VRAM; tiny cost, sometimes a small speedup. Widget: `head_chunks` (default 4).\n- **3. Chunk FeedForward** (`MiniMaxChunkFeedForward`): splits FF blocks. Reduces peak VRAM at longer sequence lengths. Widgets: `chunks` (2\u20134), `seq_threshold` (4096).\n- **4. H3 SLA Attention** (`H3SLAAttention`): the big one. Sparse Linear Attention \u2014 main speedup. `sparsity_ratio` 0.9 keeps 10% of tokens for very fast, decent-quality; drop to ~0.7 if you see artifacts. `dense_last_steps` controls how many final steps run dense (better quality tail).\n\n### Wiring\n\nFeed the raw `MODEL` from `UNETLoader` into `model`. Take the output `MODEL` to whatever comes next (sampler / patcher).\n\n### Notes\n\n- SLA patches attention \u2014 anything else patching attention should sit *before* it in the chain. That is why H3SLAAttention is last.\n- `protect_audio=True` avoids audio-latent glitches at some speed cost. Leave on unless testing.\n- If the workflow refuses to load, install `comfyui-kjnodes` and `plaguekind-nodes` (H3SLAAttention lives in one of these packs)."
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+ "text": "## Speed Patches \u2014 PK / H3 SLA\n\nChain applies bottom-up on the MODEL. Toggle each group on/off with the bypasser above.\n\n- **1. FP16 Accumulation** (`ModelPatchTorchSettings`): free speed on RTX 30xx+ / most modern GPUs. Safe to leave on.\n- **2. LowVRAM Attention** (`MiniMaxLowVRAMAttention`): splits attention into head chunks. Reduces peak VRAM; tiny cost, sometimes a small speedup. Widget: `head_chunks` (default 4).\n- **3. Chunk FeedForward** (`MiniMaxChunkFeedForward`): splits FF blocks. Reduces peak VRAM at longer sequence lengths. Widgets: `chunks` (2\u20134), `seq_threshold` (4096).\n- **4. H3 SLA Attention** (`H3SLAAttention`): the big one. Sparse Linear Attention \u2014 main speedup. `sparsity_ratio` 0.9 keeps 10% of tokens for very fast, decent-quality; drop to ~0.7 if you see artifacts. `dense_last_steps` controls how many final steps run dense (better quality tail).\n\n### Wiring\n\nFeed the raw `MODEL` from `UNETLoader` into `model`. Take the output `MODEL` to whatever comes next (sampler / patcher).\n\n### Notes\n\n- SLA patches attention \u2014 anything else patching attention should sit *before* it in the chain. That is why H3SLAAttention is last.\n- `protect_audio=True` avoids audio-latent glitches at some speed cost. Leave on unless testing.\n- If the workflow refuses to load, install `comfyui-kjnodes` and `plaguekind-nodes` (H3SLAAttention lives in one of these packs)."
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