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Post #197749 · 1 source

inkbunny.net · 3836086:5948231 · selected

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3836086_5948231_Kittzy_gosbutt_animation_5th_step.json · CAS artifact Download
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    [
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    [
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      0,
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    [
      108,
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  ],
  "nodes": [
    {
      "bgcolor": "#353",
      "color": "#232",
      "flags": {},
      "id": 54,
      "inputs": [
        {
          "label": "model",
          "link": 66,
          "name": "model",
          "type": "MODEL"
        }
      ],
      "mode": 0,
      "order": 21,
      "outputs": [
        {
          "label": "MODEL",
          "links": [
            70
          ],
          "name": "MODEL",
          "type": "MODEL"
        }
      ],
      "pos": [
        -140,
        360
      ],
      "properties": {
        "Node name for S&R": "ModelPatchTorchSettings",
        "cnr_id": "comfyui-kjnodes",
        "ver": "1.1.3",
        "widget_ue_connectable": {}
      },
      "size": [
        252.095703125,
        58
      ],
      "type": "ModelPatchTorchSettings",
      "widgets_values": [
        true
      ]
    },
    {
      "bgcolor": "#653",
      "color": "#432",
      "flags": {},
      "id": 49,
      "inputs": [],
      "mode": 0,
      "order": 0,
      "outputs": [],
      "pos": [
        225.16690546050816,
        1152.3904640917765
      ],
      "properties": {},
      "size": [
        336.8630941966834,
        88
      ],
      "title": "4. Prompts",
      "type": "Note",
      "widgets_values": [
        "Pretty self explanitory, but Wan seems to like descriptions better than e621 style tagging in most cases."
      ]
    },
    {
      "bgcolor": "#653",
      "color": "#432",
      "flags": {},
      "id": 59,
      "inputs": [],
      "mode": 0,
      "order": 1,
      "outputs": [],
      "pos": [
        -1578.2444358714001,
        343.8366692232541
      ],
      "properties": {},
      "size": [
        369.98869235625693,
        137.65567712597067
      ],
      "title": "1.   Loading the magic models",
      "type": "Note",
      "widgets_values": [
        "VAE and ClIP\n\nYou will need   umt5_xxl_fp8_e4m3fn_scaled.safetensors  \n in the Load Clip node.\n\nAnd   Wan_2.1_vae.safetensors   in the Load VAE"
      ]
    },
    {
      "bgcolor": "#653",
      "color": "#432",
      "flags": {},
      "id": 42,
      "inputs": [],
      "mode": 0,
      "order": 2,
      "outputs": [],
      "pos": [
        -1167.3245536742288,
        685.0786227582126
      ],
      "properties": {},
      "size": [
        337.4275926015223,
        88
      ],
      "title": "3. Image Input",
      "type": "Note",
      "widgets_values": [
        "You can either drag and drop a image onto the Load Image box, or click Choose File to Upload and select one that way."
      ]
    },
    {
      "bgcolor": "#653",
      "color": "#432",
      "flags": {},
      "id": 43,
      "inputs": [],
      "mode": 0,
      "order": 3,
      "outputs": [],
      "pos": [
        -203.5178888266356,
        1862.6607238373406
      ],
      "properties": {},
      "size": [
        363.7260014943398,
        146.7127268304764
      ],
      "title": "5.A.  Height and Width",
      "type": "Note",
      "widgets_values": [
        "If your image is large you'll have to resize it using the bottom most node above^.\n\nYou'll have to crop according to the base image size.\n\n\nSquare images are 640 x 640\n\nRectangle (landscape) images are 640 x 480\n"
      ]
    },
    {
      "bgcolor": "#653",
      "color": "#432",
      "flags": {},
      "id": 31,
      "inputs": [],
      "mode": 0,
      "order": 4,
      "outputs": [],
      "pos": [
        1269.4112008001273,
        380.8564115235957
      ],
      "properties": {},
      "size": [
        485.29810876269335,
        119.21559976486992
      ],
      "title": "NO TOUCHY LIGHTX2v LORA",
      "type": "Note",
      "widgets_values": [
        "This is where the LightX2v Lora goes\n\n<--- No Touchy!! \n*Cuzco llama face*\n\nTouching this breaks the whole workflow\nThis is where: Lightx2v_i2v_14B_480p_cfg_step_distill_rank32_bf16.safetensors  goes"
      ]
    },
    {
      "bgcolor": "#653",
      "color": "#432",
      "flags": {},
      "id": 41,
      "inputs": [],
      "mode": 0,
      "order": 5,
      "outputs": [],
      "pos": [
        -772.8630264039916,
        159.73166214222124
      ],
      "properties": {},
      "size": [
        439.7787257663322,
        105.90860486510417
      ],
      "title": "2.   Incase of Diffusion",
      "type": "Note",
      "widgets_values": [
        "This workflow isn't designed to work with the full FP8 Wan 2.2 models (it might but results might not be good)\nThis one uses    wan2.2_i2v_high_noise_14b_Q4_K_M.GGUF\nand the          wan2.2_i2v_low_noise_14b_Q4_K_M.GGUF\n\nBut if you still want to load the full fledged models. \nDouble click the empty drid, and search for Load Diffusion Model.\n\nPlace the High and Low noise Wan 2.2 models in the Diffusions Models folder inside you Models folder where ever you installed ComfyUi at. Then run those Diffusion nodes to the Patch Sage Attetion nodes and deleted the GGUF loaders."
      ]
    },
    {
      "bgcolor": "#533",
      "color": "#322",
      "flags": {},
      "id": 3,
      "inputs": [
        {
          "label": "clip",
          "link": 1,
          "name": "clip",
          "type": "CLIP"
        }
      ],
      "mode": 0,
      "order": 18,
      "outputs": [
        {
          "label": "CONDITIONING",
          "links": [
            19
          ],
          "name": "CONDITIONING",
          "slot_index": 0,
          "type": "CONDITIONING"
        }
      ],
      "pos": [
        196.37485363606748,
        874.4171288911552
      ],
      "properties": {
        "Node name for S&R": "CLIPTextEncode",
        "cnr_id": "comfy-core",
        "ver": "0.3.45",
        "widget_ue_connectable": {}
      },
      "size": [
        425.27801513671875,
        180.6060791015625
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      "title": "Negative Promp",
      "type": "CLIPTextEncode",
      "widgets_values": [
        "色调艳丽,过曝,静态,细节模糊不清,字幕,风格,作品,画作,画面,静止,整体发灰,最差质量,低质量,JPEG压缩残留,丑陋的,残缺的,多余的手指,画得不好的手部,画得不好的脸部,畸形的,毁容的,形态畸形的肢体,手指融合,静止不动的画面,杂乱的背景,三条腿,背景人很多,倒着走"
      ]
    },
    {
      "bgcolor": "#353",
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      "flags": {},
      "id": 53,
      "inputs": [
        {
          "label": "model",
          "link": 65,
          "name": "model",
          "type": "MODEL"
        }
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      "mode": 0,
      "order": 22,
      "outputs": [
        {
          "label": "MODEL",
          "links": [
            69
          ],
          "name": "MODEL",
          "type": "MODEL"
        }
      ],
      "pos": [
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      "properties": {
        "Node name for S&R": "ModelPatchTorchSettings",
        "cnr_id": "comfyui-kjnodes",
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      "widgets_values": [
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    },
    {
      "bgcolor": "#653",
      "color": "#432",
      "flags": {},
      "id": 47,
      "inputs": [],
      "mode": 0,
      "order": 6,
      "outputs": [],
      "pos": [
        134.23490466282385,
        146.0650675076632
      ],
      "properties": {},
      "size": [
        578.1633997239546,
        127.88734719955016
      ],
      "title": "Using Loras",
      "type": "Note",
      "widgets_values": [
        "If you are using Loras, you can select them here, if not. Hold down CTRL and Left click on each of the Lora nodes and click the Cancel icon (circle with line through it) to bypass the lora nodes.\n\nThe two on the right are bypassed, to enable them do the same steps as above, it will un-bypass them.\n\nHigh and Low noise models work. As well as Lora's that only have\nLora strenght should be at 1 or 1.5, you'll have to play around with it."
      ]
    },
    {
      "flags": {},
      "id": 75,
      "inputs": [
        {
          "label": "model",
          "link": 102,
          "name": "model",
          "type": "MODEL"
        }
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      "mode": 0,
      "order": 31,
      "outputs": [
        {
          "label": "MODEL",
          "links": [
            104
          ],
          "name": "MODEL",
          "slot_index": 0,
          "type": "MODEL"
        }
      ],
      "pos": [
        1240.9735729344338,
        468.5425016475572
      ],
      "properties": {
        "Node name for S&R": "ModelSamplingSD3",
        "cnr_id": "comfy-core",
        "ver": "0.3.45",
        "widget_ue_connectable": {}
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      "size": [
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      ],
      "type": "ModelSamplingSD3",
      "widgets_values": [
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    },
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      "flags": {},
      "id": 57,
      "inputs": [
        {
          "label": "model",
          "link": 75,
          "name": "model",
          "type": "MODEL"
        }
      ],
      "mode": 0,
      "order": 29,
      "outputs": [
        {
          "label": "MODEL",
          "links": [
            102
          ],
          "name": "MODEL",
          "type": "MODEL"
        }
      ],
      "pos": [
        731.5090377146072,
        483.25610997547346
      ],
      "properties": {
        "Node name for S&R": "LoraLoaderModelOnly",
        "cnr_id": "comfy-core",
        "ver": "0.3.47",
        "widget_ue_connectable": {}
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      "size": [
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      "type": "LoraLoaderModelOnly",
      "widgets_values": [
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      "mode": 0,
      "order": 28,
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          "label": "MODEL",
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          "name": "MODEL",
          "type": "MODEL"
        }
      ],
      "pos": [
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      "properties": {
        "Node name for S&R": "LoraLoaderModelOnly",
        "cnr_id": "comfy-core",
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        "widget_ue_connectable": {}
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    {
      "flags": {},
      "id": 18,
      "inputs": [],
      "mode": 0,
      "order": 7,
      "outputs": [
        {
          "label": "IMAGE",
          "links": [
            22
          ],
          "name": "IMAGE",
          "slot_index": 0,
          "type": "IMAGE"
        },
        {
          "label": "MASK",
          "links": null,
          "name": "MASK",
          "slot_index": 1,
          "type": "MASK"
        }
      ],
      "pos": [
        -781.3230479885968,
        686.6666179961493
      ],
      "properties": {
        "Node name for S&R": "LoadImage",
        "cnr_id": "comfy-core",
        "ver": "0.3.45",
        "widget_ue_connectable": {}
      },
      "size": [
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        719.8799043185296
      ],
      "type": "LoadImage",
      "widgets_values": [
        "Gos Bigger Head To Animated.png",
        "image"
      ]
    },
    {
      "flags": {},
      "id": 72,
      "inputs": [
        {
          "label": "images",
          "link": 99,
          "name": "images",
          "type": "IMAGE"
        },
        {
          "label": "audio",
          "link": null,
          "name": "audio",
          "shape": 7,
          "type": "AUDIO"
        },
        {
          "label": "meta_batch",
          "link": null,
          "name": "meta_batch",
          "shape": 7,
          "type": "VHS_BatchManager"
        },
        {
          "label": "vae",
          "link": null,
          "name": "vae",
          "shape": 7,
          "type": "VAE"
        }
      ],
      "mode": 0,
      "order": 41,
      "outputs": [
        {
          "label": "Filenames",
          "links": null,
          "name": "Filenames",
          "slot_index": 0,
          "type": "VHS_FILENAMES"
        }
      ],
      "pos": [
        3700,
        1000
      ],
      "properties": {
        "Node name for S&R": "VHS_VideoCombine"
      },
      "size": [
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        2317.9929625801105
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      "type": "VHS_VideoCombine",
      "widgets_values": {
        "crf": 10,
        "filename_prefix": "WAN_4K",
        "format": "video/h264-mp4",
        "frame_rate": 24,
        "loop_count": 0,
        "pingpong": false,
        "pix_fmt": "yuv420p",
        "save_metadata": true,
        "save_output": true,
        "trim_to_audio": false,
        "videopreview": {
          "hidden": false,
          "params": {
            "filename": "WAN_4K_00012.mp4",
            "format": "video/h264-mp4",
            "frame_rate": 24,
            "fullpath": "E:\\AI Images\\WAN_4K_00012.mp4",
            "subfolder": "",
            "type": "output",
            "workflow": "WAN_4K_00012.png"
          },
          "paused": false
        }
      }
    },
    {
      "bgcolor": "#353",
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      "flags": {},
      "id": 22,
      "inputs": [],
      "mode": 0,
      "order": 8,
      "outputs": [
        {
          "label": "MODEL",
          "links": [
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          "name": "MODEL",
          "type": "MODEL"
        }
      ],
      "pos": [
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      "properties": {
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    },
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    },
    {
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      "mode": 0,
      "order": 39,
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          "name": "output",
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          "type": "*"
        }
      ],
      "pos": [
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      "properties": {
        "Node name for S&R": "easy clearCacheAll"
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      "type": "easy clearCacheAll",
      "widgets_values": []
    },
    {
      "flags": {},
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          "label": "upscale_model",
          "link": 96,
          "name": "upscale_model",
          "type": "UPSCALE_MODEL"
        },
        {
          "label": "image",
          "link": 97,
          "name": "image",
          "type": "IMAGE"
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      ],
      "mode": 0,
      "order": 40,
      "outputs": [
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          "name": "IMAGE",
          "slot_index": 0,
          "type": "IMAGE"
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      ],
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      "properties": {
        "Node name for S&R": "ImageUpscaleWithModel"
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      "type": "ImageUpscaleWithModel",
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      "outputs": [
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          "name": "UPSCALE_MODEL",
          "type": "UPSCALE_MODEL"
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      "properties": {
        "Node name for S&R": "UpscaleModelLoader"
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      "size": [
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      ],
      "type": "UpscaleModelLoader",
      "widgets_values": [
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    },
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          "name": "MODEL",
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      ],
      "pos": [
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      "properties": {
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      "widgets_values": [
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    },
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      "mode": 0,
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          "name": "MODEL",
          "type": "MODEL"
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      ],
      "pos": [
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    {
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      "order": 10,
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          "links": [
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          "name": "MODEL",
          "type": "MODEL"
        }
      ],
      "pos": [
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      "properties": {},
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      "title": "6. Ksamplers",
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        {
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      "outputs": [
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        {
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          "shape": 7,
          "type": "CLIP_VISION_OUTPUT"
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        {
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          "link": 21,
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          "type": "IMAGE"
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      "properties": {},
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      "title": "5.B.   Height and Width Part 2",
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      "widgets_values": [
        "This node should have the same resolution or close resolution to the bottom one.\n\n\nLength is the most important one here. This determins how many frames each video will have. \n\nThis workflow uses 12fps. So 101 = 8 seconds. 63 = 5 seconds\n\nYou can change the FPS on the \"Video Combine 🎥🅥🅗🅢\" Node. Then do some quick maths to figure out the length setting to put here.\n\nExample. 16 fps (times) 5 seconds = ~81 frames\n         12 fps (times) 5 seconds = ~61 frames\n\n\n"
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          "name": "MODEL",
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