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        "The Google Gemini node will generate a prompt based on the input videos automatically, but is optional.\n\nIf you'd prefer to not use the API node, disconnect the string from the green CLIP Text Encode node and write the prompt manually. The prompt formula is:\n\nFLW, [Action A] seamlessly transforms into [Action B], \n[Subject A description] becomes [Subject B description], \n[Setting A] shifts to [Setting B], \n[Camera behavior across the transition], \n[Lighting/mood continuity], [audio]."
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      "inputs": [],
      "mode": 0,
      "order": 10,
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      "title": "TIPS",
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        "- The frame load cap for each video determines how many frames from that clip will be in the generation\n\n- The duration of the actual transition will be the remaining frames left. [TOTAL FRAMES]-[CLIP A]-[CLIP B] = transition length\n\n- The inference will run across all of the frames, even if they're not transition frames, so bear that in mind when deciding the total frame number, as this will impact generation time, VRAM usage etc.\n\n- The LoRA works best when it has a good amount of frames to perform the transition. If the difference between CLIP A and CLIP B is large, then more frames may be needed to transition smoothly\n\n- For best results consider lining up your clips so that there are common factors in both clips, such as direction of travel, subject trajectory, prominent colors etc"
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      "type": "Note",
      "widgets_values": [
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      ]
    },
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      "inputs": [],
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      ]
    },
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      "inputs": [],
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      "size": [
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      "title": "MODELS",
      "type": "Note",
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        },
        {
          "link": null,
          "localized_name": "choose file to upload",
          "name": "upload",
          "type": "AUDIOUPLOAD",
          "widget": {
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        }
      ],
      "mode": 0,
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