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{
  "1": {
    "class_type": "HyperFlowINT8Loader",
    "inputs": {
      "unet_name": "minimax_h3_fl2va_hyperflow_flash_int8_convrot.safetensors",
      "patcher": "legacy"
    }
  },
  "2": {
    "class_type": "CLIPLoader",
    "inputs": {
      "clip_name": "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
      "type": "minimax",
      "device": "default"
    }
  },
  "3": {
    "class_type": "VAELoader",
    "inputs": {
      "vae_name": "minimax_h3_video_vae_fp16.safetensors"
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  },
  "4": {
    "class_type": "VAELoader",
    "inputs": {
      "vae_name": "minimax_h3_audio_vae_fp32.safetensors"
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  "5": {
    "class_type": "MiniMaxH3ImageToVideo",
    "inputs": {
      "clip": [
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      ],
      "vae": [
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      ],
      "prompt": "Photoreal 35mm action film, one continuous 10-second shot. A sunny Mediterranean hill town of whitewashed houses with blue shutters and potted red geraniums, bright morning light. A daring 25-year-old woman bike courier in a bright yellow jersey, black cycling shorts, a black helmet and a gray messenger bag slung across her back rides a mountain bike flat out down a long, steep outdoor stone staircase that winds between the houses toward the sea. The camera chases her from directly behind at her shoulder height the whole time, racing down the stairs a few meters behind her rear wheel: a fast, bouncing handheld follow shot that keeps her in the center of the frame. Timed action: 0.0-2.0s: she bounces down the stone steps standing on the pedals, the bike rattling, the bag swinging on her back. 2.0-4.0s: a flock of gray pigeons resting on the steps bursts into the air all around her and flutters past the camera. 4.0-6.0s: the stairs end at a small landing with a fruit stall; she pulls up the front wheel and jumps the bike clean over a wooden crate of oranges, landing hard on both wheels as a few oranges tumble and roll down the steps. 6.0-8.0s: she swerves around a startled old baker in a white apron carrying a basket of bread, who throws his free hand up in surprise. 8.0-10.0s: she bursts out of the alley onto a bright harbor road with the deep blue sea and white fishing boats ahead, skids sideways to a stop in a spray of dust, looks back over her shoulder at the camera and grins. Audio: the clatter of tires on stone steps, rattling chain and gears, wings flapping, oranges thudding on the stone, the baker's startled shout, the hiss of the skid, seagulls and the sea at the end. No music.",
      "width": 1344,
      "height": 768,
      "length": 243
    }
  },
  "6": {
    "class_type": "HyperFlowSigmas",
    "inputs": {
      "model": [
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        0
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      "steps": 6
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  },
  "7": {
    "class_type": "KSamplerSelect",
    "inputs": {
      "sampler_name": "euler"
    }
  },
  "8": {
    "class_type": "RandomNoise",
    "inputs": {
      "noise_seed": 42
    }
  },
  "9": {
    "class_type": "BasicGuider",
    "inputs": {
      "model": [
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      ],
      "conditioning": [
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        0
      ]
    }
  },
  "10": {
    "class_type": "SamplerCustomAdvanced",
    "inputs": {
      "noise": [
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        0
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      "guider": [
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        0
      ],
      "sampler": [
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      "sigmas": [
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        0
      ],
      "latent_image": [
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        1
      ]
    }
  },
  "11": {
    "class_type": "VAEDecode",
    "inputs": {
      "samples": [
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        0
      ],
      "vae": [
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        0
      ]
    }
  },
  "12": {
    "class_type": "VAEDecodeAudio",
    "inputs": {
      "samples": [
        "10",
        0
      ],
      "vae": [
        "4",
        0
      ]
    }
  },
  "13": {
    "class_type": "CreateVideo",
    "inputs": {
      "images": [
        "11",
        0
      ],
      "audio": [
        "12",
        0
      ],
      "fps": 24,
      "bit_depth": "auto",
      "color_space": "sRGB",
      "chroma_subsampling": "auto",
      "codec": "none"
    }
  },
  "14": {
    "class_type": "SaveVideo",
    "inputs": {
      "video": [
        "13",
        0
      ],
      "filename_prefix": "hyperflow_int8/t2v",
      "format": "mp4",
      "format.codec": "auto",
      "codec": "auto"
    }
  },
  "16": {
    "class_type": "BlockSparseAttention",
    "inputs": {
      "model": [
        "1",
        0
      ],
      "selection": "sol-attn",
      "selection.tau": 1.25,
      "start_percent": 0.39,
      "end_percent": 1.0,
      "dense_blocks": "0, 1, 45, 46",
      "min_tokens": 12288,
      "extra_tokens": 256,
      "sink_conditioning": "exact_kv_and_rows",
      "verbose": false
    }
  }
}