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              }
            ],
            "outputs": [
              {
                "localized_name": "CLIP",
                "name": "CLIP",
                "type": "CLIP",
                "links": [
                  48
                ]
              }
            ],
            "properties": {
              "cnr_id": "comfy-core",
              "ver": "0.44.0",
              "Node name for S&R": "CLIPLoader",
              "models": [
                {
                  "name": "p-h3-image_prompt_upsampler_w4a8.safetensors",
                  "url": "https://huggingface.co/PrunaAI/p-h3-image-comfy/resolve/main/text_encoders/p-h3-image_prompt_upsampler_w4a8.safetensors",
                  "directory": "text_encoders"
                }
              ]
            },
            "widgets_values": [
              "p-h3-image_prompt_upsampler_w4a8.safetensors",
              "minimax",
              "default"
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              "clip_name": "p-h3-image_prompt_upsampler_w4a8.safetensors",
              "type": "minimax",
              "device": "default"
            }
          },
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            "widgets_values": [
              "## H3 Continuum EZ Studio — FastH3 OmniRef\n\nComfyUI 0.44.0 / frontend 1.57.6で確認。モデル読込のPDD対応はComfyUI 0.42.0から。\nValidated with ComfyUI 0.44.0 / frontend 1.57.6. Baked-PDD checkpoint loading requires ComfyUI 0.42.0 or later.\n\nNVIDIAではCUDA 13対応のPyTorch（cu130以上）とComfyUI指定のcomfy-kitchenを使用。このNVFP4 AWQエンコーダー自体はBlackwell専用ではありません。ネイティブNVFP4高速化は対応GPU・カーネルに依存します。\nFor NVIDIA, use a cu130-or-newer PyTorch build and ComfyUI's pinned comfy-kitchen. This NVFP4 AWQ encoder is not Blackwell-only; native NVFP4 acceleration depends on compatible hardware and kernels.\n\nEuler / simple / 8 steps / video shift 12 / audio shift 3 / VSA 10% / comfy kitchen attention。追加LoRAは不要です。\nNo additional Pika LoRA is needed. Keep this workflow's model and sampling connections.\n\n- [fasth3_omniref_8step_pruned_int8_convrot.safetensors](https://huggingface.co/FastVideo/FastH3-Omni-Comfy/resolve/main/diffusion_models/fasth3_omniref_8step_pruned_int8_convrot.safetensors) → `models/diffusion_models/`\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors) → `models/text_encoders/`\n- [p-h3-image_prompt_upsampler_w4a8.safetensors](https://huggingface.co/PrunaAI/p-h3-image-comfy/resolve/main/text_encoders/p-h3-image_prompt_upsampler_w4a8.safetensors) → `models/text_encoders/`\n- [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors) → `models/vae/`\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors) → `models/vae/`\n\nモデル名はサブグラフで実際の導入先に合わせて選択。画像はStudioで追加します。P-H3はAI文章生成用の任意モデルで、未導入でも原文で動画を生成できます。\nSelect the installed filenames on the subgraph and add your media in Studio. P-H3 is optional for AI text; Original works without that model.\n\n[日本語](https://github.com/ukr8b3g-cmyk/ComfyUI-H3-Continuum-EZ/blob/main/README_JA.md) · [English](https://github.com/ukr8b3g-cmyk/ComfyUI-H3-Continuum-EZ/blob/main/README.md)\n"
            ],
            "widgets_values_named": {
              "text": "## H3 Continuum EZ Studio — FastH3 OmniRef\n\nComfyUI 0.44.0 / frontend 1.57.6で確認。モデル読込のPDD対応はComfyUI 0.42.0から。\nValidated with ComfyUI 0.44.0 / frontend 1.57.6. Baked-PDD checkpoint loading requires ComfyUI 0.42.0 or later.\n\nNVIDIAではCUDA 13対応のPyTorch（cu130以上）とComfyUI指定のcomfy-kitchenを使用。このNVFP4 AWQエンコーダー自体はBlackwell専用ではありません。ネイティブNVFP4高速化は対応GPU・カーネルに依存します。\nFor NVIDIA, use a cu130-or-newer PyTorch build and ComfyUI's pinned comfy-kitchen. This NVFP4 AWQ encoder is not Blackwell-only; native NVFP4 acceleration depends on compatible hardware and kernels.\n\nEuler / simple / 8 steps / video shift 12 / audio shift 3 / VSA 10% / comfy kitchen attention。追加LoRAは不要です。\nNo additional Pika LoRA is needed. Keep this workflow's model and sampling connections.\n\n- [fasth3_omniref_8step_pruned_int8_convrot.safetensors](https://huggingface.co/FastVideo/FastH3-Omni-Comfy/resolve/main/diffusion_models/fasth3_omniref_8step_pruned_int8_convrot.safetensors) → `models/diffusion_models/`\n- [qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors) → `models/text_encoders/`\n- [p-h3-image_prompt_upsampler_w4a8.safetensors](https://huggingface.co/PrunaAI/p-h3-image-comfy/resolve/main/text_encoders/p-h3-image_prompt_upsampler_w4a8.safetensors) → `models/text_encoders/`\n- [minimax_h3_video_vae_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_video_vae_int8_convrot.safetensors) → `models/vae/`\n- [minimax_h3_audio_vae_fp32.safetensors](https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/vae/minimax_h3_audio_vae_fp32.safetensors) → `models/vae/`\n\nモデル名はサブグラフで実際の導入先に合わせて選択。画像はStudioで追加します。P-H3はAI文章生成用の任意モデルで、未導入でも原文で動画を生成できます。\nSelect the installed filenames on the subgraph and add your media in Studio. P-H3 is optional for AI text; Original works without that model.\n\n[日本語](https://github.com/ukr8b3g-cmyk/ComfyUI-H3-Continuum-EZ/blob/main/README_JA.md) · [English](https://github.com/ukr8b3g-cmyk/ComfyUI-H3-Continuum-EZ/blob/main/README.md)\n"
            },
            "color": "#432",
            "bgcolor": "#653"
          },
          {
            "id": 27,
            "type": "BasicScheduler",
            "pos": [
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              250
            ],
            "size": [
              330,
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            ],
            "flags": {},
            "order": 11,
            "mode": 0,
            "inputs": [
              {
                "localized_name": "モデル",
                "name": "model",
                "type": "MODEL",
                "link": 57
              }
            ],
            "outputs": [
              {
                "localized_name": "シグマ",
                "name": "SIGMAS",
                "type": "SIGMAS",
                "links": [
                  50
                ]
              }
            ],
            "properties": {
              "cnr_id": "comfy-core",
              "ver": "0.33.0",
              "Node name for S&R": "BasicScheduler"
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            "widgets_values": [
              "simple",
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            "widgets_values_named": {
              "scheduler": "simple",
              "steps": 8,
              "denoise": 1
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          },
          {
            "id": 29,
            "type": "MiniMaxH3SigmaShift",
            "pos": [
              -30,
              -550
            ],
            "size": [
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            ],
            "flags": {},
            "order": 12,
            "mode": 0,
            "inputs": [
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                "localized_name": "model",
                "name": "model",
                "type": "MODEL",
                "link": 51
              }
            ],
            "outputs": [
              {
                "localized_name": "モデル",
                "name": "MODEL",
                "type": "MODEL",
                "links": [
                  52
                ]
              }
            ],
            "properties": {
              "cnr_id": "comfy-core",
              "ver": "0.44.0",
              "Node name for S&R": "MiniMaxH3SigmaShift"
            },
            "widgets_values": [
              12,
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            ],
            "widgets_values_named": {
              "shift_video": 12,
              "shift_audio": 3
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          },
          {
            "id": 30,
            "type": "CLIPLoader",
            "pos": [
              -150,
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            ],
            "size": [
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            ],
            "flags": {},
            "order": 13,
            "mode": 0,
            "inputs": [
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                "localized_name": "clip名",
                "name": "clip_name",
                "type": "COMBO",
                "widget": {
                  "name": "clip_name"
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                "link": 55
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            ],
            "outputs": [
              {
                "localized_name": "CLIP",
                "name": "CLIP",
                "type": "CLIP",
                "links": [
                  54
                ]
              }
            ],
            "properties": {
              "cnr_id": "comfy-core",
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              "Node name for S&R": "CLIPLoader",
              "models": [
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                  "url": "https://huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/text_encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
                  "directory": "text_encoders"
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              ]
            },
            "widgets_values": [
              "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
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            "widgets_values_named": {
              "clip_name": "qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
              "type": "minimax",
              "device": "default"
            }
          }
        ],
        "groups": [
          {
            "id": 1,
            "title": "attention",
            "bounding": [
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            ],
            "color": "#3f789e",
            "flags": {}
          },
          {
            "id": 2,
            "title": "Prompt Enhancer Model",
            "bounding": [
              -170,
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            ],
            "color": "#5c457a",
            "flags": {}
          }
        ],
        "links": [
          {
            "id": 4,
            "origin_id": 3,
            "origin_slot": 0,
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            "target_slot": 2,
            "type": "VAE"
          },
          {
            "id": 5,
            "origin_id": 4,
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            "target_id": 8,
            "target_slot": 3,
            "type": "VAE"
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          {
            "id": 6,
            "origin_id": 5,
            "origin_slot": 0,
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            "target_slot": 4,
            "type": "SAMPLER"
          },
          {
            "id": 9,
            "origin_id": 8,
            "origin_slot": 0,
            "target_id": 9,
            "target_slot": 0,
            "type": "IMAGE"
          },
          {
            "id": 10,
            "origin_id": 8,
            "origin_slot": 1,
            "target_id": 9,
            "target_slot": 1,
            "type": "AUDIO"
          },
          {
            "id": 11,
            "origin_id": 8,
            "origin_slot": 2,
            "target_id": 9,
            "target_slot": 2,
            "type": "FLOAT"
          },
          {
            "id": 37,
            "origin_id": 8,
            "origin_slot": 4,
            "target_id": 20,
            "target_slot": 0,
            "type": "VIDEO",
            "parentId": 1
          },
          {
            "id": 38,
            "origin_id": 9,
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            "target_slot": 1,
            "type": "VIDEO"
          },
          {
            "id": 39,
            "origin_id": 20,
            "origin_slot": 0,
            "target_id": -20,
            "target_slot": 0,
            "type": "VIDEO"
          },
          {
            "id": 41,
            "origin_id": 8,
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            "target_id": 20,
            "target_slot": 2,
            "type": "BOOLEAN"
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          {
            "id": 48,
            "origin_id": 25,
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            "target_slot": 7,
            "type": "CLIP"
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            "origin_id": -10,
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          {
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            "type": "SIGMAS"
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          {
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          },
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        "reroutes": [
          {
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            "pos": [
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            "linkIds": [
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          }
        ],
        "extra": {}
      }
    ]
  },
  "config": {},
  "extra": {
    "H3_EZ_NOTE": "FastH3 OmniRef template based on the supplied workflow. Keep Euler/simple 8, shift 12/3, VSA and model wiring. Add your own media. See README requirements.",
    "frontendVersion": "1.58.5",
    "ds": {
      "scale": 1.1133537798877557,
      "offset": [
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  "extensions": {
    "seed_widgets": {}
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  "version": 0.4,
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}