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  "id": "ecc20583-98c5-4707-83f4-631b49a2bf0b",
  "revision": 0,
  "last_node_id": 143,
  "last_link_id": 346,
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      ],
      "size": [
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      ],
      "flags": {},
      "order": 0,
      "mode": 0,
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        {
          "name": "CLIP",
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          "links": [
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        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
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        "models": [
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            "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors",
            "directory": "text_encoders"
          },
          {
            "name": "byt5_small_glyphxl_fp16.safetensors",
            "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/byt5_small_glyphxl_fp16.safetensors",
            "directory": "text_encoders"
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      "widgets_values": [
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          "name": "MODEL",
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          "links": [
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        }
      ],
      "properties": {
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            "name": "hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors",
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      "flags": {},
      "order": 2,
      "mode": 0,
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      "outputs": [
        {
          "name": "VAE",
          "type": "VAE",
          "slot_index": 0,
          "links": [
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            290,
            306,
            307
          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
        "ver": "0.3.68",
        "Node name for S&R": "VAELoader",
        "models": [
          {
            "name": "hunyuanvideo15_vae_fp16.safetensors",
            "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/vae/hunyuanvideo15_vae_fp16.safetensors",
            "directory": "vae"
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        ]
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      "widgets_values": [
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    },
    {
      "id": 8,
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      "pos": [
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      "size": [
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      ],
      "flags": {},
      "order": 29,
      "mode": 0,
      "inputs": [
        {
          "name": "samples",
          "type": "LATENT",
          "link": 323
        },
        {
          "name": "vae",
          "type": "VAE",
          "link": 206
        }
      ],
      "outputs": [
        {
          "name": "IMAGE",
          "type": "IMAGE",
          "slot_index": 0,
          "links": [
            308
          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
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        "Node name for S&R": "VAEDecode"
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      "widgets_values": []
    },
    {
      "id": 105,
      "type": "EasyCache",
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        30
      ],
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        130
      ],
      "flags": {},
      "order": 20,
      "mode": 4,
      "inputs": [
        {
          "name": "model",
          "type": "MODEL",
          "link": 270
        }
      ],
      "outputs": [
        {
          "name": "MODEL",
          "type": "MODEL",
          "links": [
            319,
            320
          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
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        "Node name for S&R": "EasyCache"
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      "widgets_values": [
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      "id": 122,
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      ],
      "flags": {},
      "order": 3,
      "mode": 0,
      "inputs": [],
      "outputs": [],
      "title": "Sampler settings",
      "properties": {},
      "widgets_values": [
        "50 inference steps just take too long to get the final video, so by default we set the step to 20 steps. If you want a better quality, please try the original settings below\n\n## Original setting from Hunyuan team\n| Model              | cfg | embeded_cfg | shift | inference step |\n|-----------------------|-----|-------------|-------|----------------|\n| 480p_t2v              | 6   | None        | 5     | 50             |\n| 480p_i2v              | 6   | None        | 5     | 50             |\n| 720p_t2v              | 6   | None        | 9     | 50             |\n| 720p_i2v              | 6   | None        | 7     | 50             |\n| 480p_t2v_distilled    | 1   | None        | 5     | 50             |\n| 480p_i2v_distilled    | 1   | None        | 5     | 50             |\n| 720p_t2v_distilled    | 1   | None        | 9     | 50             |\n| 720p_i2v_distilled    | 1   | None        | 7     | 50             |"
      ],
      "color": "#432",
      "bgcolor": "#653"
    },
    {
      "id": 113,
      "type": "HunyuanVideo15SuperResolution",
      "pos": [
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      ],
      "size": [
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      ],
      "flags": {},
      "order": 33,
      "mode": 4,
      "inputs": [
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          "name": "positive",
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        {
          "name": "negative",
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        {
          "name": "latent",
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          "link": 280
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          "name": "vae",
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          "link": null
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        {
          "name": "start_image",
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          "link": null
        },
        {
          "name": "clip_vision_output",
          "shape": 7,
          "type": "CLIP_VISION_OUTPUT",
          "link": null
        }
      ],
      "outputs": [
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          "name": "positive",
          "type": "CONDITIONING",
          "links": [
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          ]
        },
        {
          "name": "negative",
          "type": "CONDITIONING",
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        },
        {
          "name": "latent",
          "type": "LATENT",
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        }
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      "properties": {
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      "flags": {},
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          "type": "CONDITIONING",
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          "links": [
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          ]
        }
      ],
      "title": "CLIP Text Encode (Positive Prompt)",
      "properties": {
        "cnr_id": "comfy-core",
        "ver": "0.3.68",
        "Node name for S&R": "CLIPTextEncode"
      },
      "widgets_values": [
        "A paper airplane released from the top of a skyscraper, gliding through urban canyons, crossing traffic, flying over streets, spiraling upward between buildings. The camera follows the paper airplane's perspective, shooting cityscape in first-person POV, finally flying toward the sunset, disappearing in golden light. Creative camera movement, free perspective, dreamlike colors."
      ],
      "color": "#232",
      "bgcolor": "#353"
    },
    {
      "id": 125,
      "type": "Note",
      "pos": [
        -630,
        -130
      ],
      "size": [
        360,
        90
      ],
      "flags": {},
      "order": 4,
      "mode": 0,
      "inputs": [],
      "outputs": [],
      "properties": {},
      "widgets_values": [
        "If you don't have enough VRAM and encounter the OOM error, please try to set the `weight_dtype` to `fp8_e4n3fn`."
      ],
      "color": "#432",
      "bgcolor": "#653"
    },
    {
      "id": 12,
      "type": "UNETLoader",
      "pos": [
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        50
      ],
      "size": [
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      ],
      "flags": {},
      "order": 5,
      "mode": 0,
      "inputs": [],
      "outputs": [
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          "name": "MODEL",
          "type": "MODEL",
          "slot_index": 0,
          "links": [
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          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
        "ver": "0.3.68",
        "Node name for S&R": "UNETLoader",
        "models": [
          {
            "name": "hunyuanvideo1.5_720p_t2v_fp16.safetensors",
            "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_720p_t2v_fp16.safetensors",
            "directory": "diffusion_models"
          }
        ]
      },
      "widgets_values": [
        "hunyuanvideo1.5_720p_t2v_fp16.safetensors",
        "default"
      ]
    },
    {
      "id": 104,
      "type": "MarkdownNote",
      "pos": [
        -1220,
        10
      ],
      "size": [
        560,
        520
      ],
      "flags": {
        "collapsed": false
      },
      "order": 6,
      "mode": 0,
      "inputs": [],
      "outputs": [],
      "title": "Model links",
      "properties": {},
      "widgets_values": [
        "\n\n## Report issue\n\nIf you found any issues when running this workflow, [report template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\n## Model links\n\n**text_encoders**\n\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n- [byt5_small_glyphxl_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/byt5_small_glyphxl_fp16.safetensors)\n\n**diffusion_models**\n\n- [hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors)\n- [hunyuanvideo1.5_720p_t2v_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_720p_t2v_fp16.safetensors)\n\n**vae**\n\n- [hunyuanvideo15_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/vae/hunyuanvideo15_vae_fp16.safetensors)\n\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 text_encoders/\n│   │      ├── qwen_2.5_vl_7b_fp8_scaled.safetensors\n│   │      └── byt5_small_glyphxl_fp16.safetensors\n│   ├── 📂 diffusion_models/\n│   │      ├── hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors\n│   │      └── hunyuanvideo1.5_720p_t2v_fp16.safetensors\n│   └── 📂 vae/\n│          └── hunyuanvideo15_vae_fp16.safetensors\n```"
      ],
      "color": "#432",
      "bgcolor": "#653"
    },
    {
      "id": 108,
      "type": "LatentUpscaleModelLoader",
      "pos": [
        -620,
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      "size": [
        470,
        70
      ],
      "flags": {},
      "order": 7,
      "mode": 4,
      "inputs": [],
      "outputs": [
        {
          "name": "LATENT_UPSCALE_MODEL",
          "type": "LATENT_UPSCALE_MODEL",
          "links": [
            274
          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
        "ver": "0.3.70",
        "Node name for S&R": "LatentUpscaleModelLoader",
        "models": [
          {
            "name": "hunyuanvideo15_latent_upsampler_1080p.safetensors",
            "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/latent_upscale_models/hunyuanvideo15_latent_upsampler_1080p.safetensors",
            "directory": "latent_upscale_models"
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        ]
      },
      "widgets_values": [
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    },
    {
      "id": 116,
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      ],
      "size": [
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      ],
      "flags": {},
      "order": 19,
      "mode": 4,
      "inputs": [
        {
          "name": "model",
          "type": "MODEL",
          "link": 286
        }
      ],
      "outputs": [
        {
          "name": "MODEL",
          "type": "MODEL",
          "links": [
            331,
            332,
            343
          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
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        "Node name for S&R": "EasyCache"
      },
      "widgets_values": [
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    },
    {
      "id": 93,
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      "flags": {},
      "order": 18,
      "mode": 0,
      "inputs": [
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          "name": "clip",
          "type": "CLIP",
          "link": 240
        }
      ],
      "outputs": [
        {
          "name": "CONDITIONING",
          "type": "CONDITIONING",
          "links": [
            296,
            322,
            345
          ]
        }
      ],
      "title": "CLIP Text Encode (Negative Prompt)",
      "properties": {
        "cnr_id": "comfy-core",
        "ver": "0.3.68",
        "Node name for S&R": "CLIPTextEncode"
      },
      "widgets_values": [
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      ],
      "color": "#223",
      "bgcolor": "#335"
    },
    {
      "id": 120,
      "type": "VAEDecodeTiled",
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      ],
      "size": [
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      ],
      "flags": {},
      "order": 31,
      "mode": 4,
      "inputs": [
        {
          "name": "samples",
          "type": "LATENT",
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        },
        {
          "name": "vae",
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        }
      ],
      "outputs": [
        {
          "name": "IMAGE",
          "type": "IMAGE",
          "links": []
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
        "ver": "0.3.70",
        "Node name for S&R": "VAEDecodeTiled"
      },
      "widgets_values": [
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    },
    {
      "id": 121,
      "type": "Note",
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      "size": [
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      ],
      "flags": {},
      "order": 8,
      "mode": 0,
      "inputs": [],
      "outputs": [],
      "properties": {},
      "widgets_values": [
        "EasyCache can speed up this workflow, but it will also sacrifice the video quality. If you need it, use Ctrl+B to enable."
      ],
      "color": "#432",
      "bgcolor": "#653"
    },
    {
      "id": 114,
      "type": "CreateVideo",
      "pos": [
        920,
        1320
      ],
      "size": [
        270,
        80
      ],
      "flags": {},
      "order": 40,
      "mode": 4,
      "inputs": [
        {
          "name": "images",
          "type": "IMAGE",
          "link": 312
        },
        {
          "name": "audio",
          "shape": 7,
          "type": "AUDIO",
          "link": null
        }
      ],
      "outputs": [
        {
          "name": "VIDEO",
          "type": "VIDEO",
          "links": [
            292
          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
        "ver": "0.3.68",
        "Node name for S&R": "CreateVideo"
      },
      "widgets_values": [
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    },
    {
      "id": 117,
      "type": "VAEDecode",
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      ],
      "size": [
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      "flags": {},
      "order": 38,
      "mode": 4,
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        },
        {
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        }
      ],
      "outputs": [
        {
          "name": "IMAGE",
          "type": "IMAGE",
          "links": [
            312
          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
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        "Node name for S&R": "VAEDecode"
      },
      "widgets_values": []
    },
    {
      "id": 126,
      "type": "Note",
      "pos": [
        1210,
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      ],
      "size": [
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        150
      ],
      "flags": {},
      "order": 9,
      "mode": 0,
      "inputs": [],
      "outputs": [],
      "properties": {},
      "widgets_values": [
        "Use the VAE Decode (Tiled) if it takes too long to get the final video."
      ],
      "color": "#432",
      "bgcolor": "#653"
    },
    {
      "id": 128,
      "type": "BasicScheduler",
      "pos": [
        250,
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      ],
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      "flags": {},
      "order": 24,
      "mode": 0,
      "inputs": [
        {
          "name": "model",
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          "link": 319
        }
      ],
      "outputs": [
        {
          "name": "SIGMAS",
          "type": "SIGMAS",
          "links": [
            316
          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
        "ver": "0.3.68",
        "Node name for S&R": "BasicScheduler"
      },
      "widgets_values": [
        "simple",
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      ]
    },
    {
      "id": 129,
      "type": "RandomNoise",
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      ],
      "size": [
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      ],
      "flags": {},
      "order": 10,
      "mode": 0,
      "inputs": [],
      "outputs": [
        {
          "name": "NOISE",
          "type": "NOISE",
          "links": [
            313
          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
        "ver": "0.3.68",
        "Node name for S&R": "RandomNoise"
      },
      "widgets_values": [
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      "color": "#2a363b",
      "bgcolor": "#3f5159"
    },
    {
      "id": 130,
      "type": "KSamplerSelect",
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        750
      ],
      "size": [
        315,
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      ],
      "flags": {},
      "order": 11,
      "mode": 0,
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      "outputs": [
        {
          "name": "SAMPLER",
          "type": "SAMPLER",
          "links": [
            315
          ]
        }
      ],
      "properties": {
        "cnr_id": "comfy-core",
        "ver": "0.3.68",
        "Node name for S&R": "KSamplerSelect"
      },
      "widgets_values": [
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    },
    {
      "id": 131,
      "type": "CFGGuider",
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      ],
      "size": [
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      "flags": {},
      "order": 27,
      "mode": 0,
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        {
          "name": "model",
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        },
        {
          "name": "positive",
          "type": "CONDITIONING",
          "link": 321
        },
        {
          "name": "negative",
          "type": "CONDITIONING",
          "link": 322
        }
      ],
      "outputs": [
        {
          "name": "GUIDER",
          "type": "GUIDER",
          "links": [
            314
          ]
        }
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