{ "last_node_id": 355, "last_link_id": 573, "nodes": [ { "id": 310, "type": "IPAdapterNoise", "pos": [ 2333, 925 ], "size": { "0": 315, "1": 106 }, "flags": {}, "order": 21, "mode": 0, "inputs": [ { "name": "image_optional", "type": "IMAGE", "link": 490 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 467, 482, 483 ], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": "IPAdapterNoise" }, "widgets_values": [ "shuffle", 0.3, 0 ] }, { "id": 320, "type": "Note Plus (mtb)", "pos": { "0": 3116, "1": 1062, "2": 0, "3": 0, "4": 0, "5": 0, "6": 0, "7": 0, "8": 0, "9": 0 }, "size": { "0": 335.19110107421875, "1": 93.9549331665039 }, "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "I haven't really played around with this much tbh - if it ain't broken...", "markdown", "", "one_dark" ], "color": "#432", "bgcolor": "#653", "shape": 1 }, { "id": 321, "type": "Note Plus (mtb)", "pos": { "0": 2305, "1": 1183, "2": 0, "3": 0, "4": 0, "5": 0, "6": 0, "7": 0, "8": 0, "9": 0 }, "size": { "0": 727.6541137695312, "1": 150.15469360351562 }, "flags": {}, "order": 1, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "I mostly applied the logic here from my other workflows and it seems to work nicely!\n\n

\n\nI didn't play too much with the weight_types but think the and the start/end steps/strength could be worth playing with but I have a feeling it's not going to have a major impact.", "markdown", "", "one_dark" ], "color": "#432", "bgcolor": "#653", "shape": 1 }, { "id": 323, "type": "Note Plus (mtb)", "pos": { "0": 1782, "1": 1270, "2": 0, "3": 0, "4": 0, "5": 0, "6": 0, "7": 0, "8": 0, "9": 0 }, "size": { "0": 463.21502685546875, "1": 111.17914581298828 }, "flags": {}, "order": 2, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "Using the model that you generated the original animation with makes a **huge** difference. Probably the biggest in terms of impacting adherence to your original video.", "markdown", "", "one_dark" ], "color": "#432", "bgcolor": "#653", "shape": 1 }, { "id": 303, "type": "CLIPVisionLoader", "pos": [ 2340, 778 ], "size": { "0": 315, "1": 58 }, "flags": {}, "order": 3, "mode": 0, "outputs": [ { "name": "CLIP_VISION", "type": "CLIP_VISION", "links": [ 468, 484 ], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": "CLIPVisionLoader" }, "widgets_values": [ "ip-adapter_image_encoder_sd15.safetensors" ] }, { "id": 250, "type": "IPAdapterModelLoader", "pos": [ 2317, 613 ], "size": { "0": 315, "1": 58 }, "flags": {}, "order": 4, "mode": 0, "outputs": [ { "name": "IPADAPTER", "type": "IPADAPTER", "links": [ 469, 481 ], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": "IPAdapterModelLoader" }, "widgets_values": [ "ip-adapter-plus_sd15.safetensors" ], "color": "#222", "bgcolor": "#000" }, { "id": 336, "type": "ADE_AnimateDiffLoRALoader", "pos": [ 3100, 1227 ], "size": { "0": 355.20001220703125, "1": 82 }, "flags": {}, "order": 5, "mode": 0, "inputs": [ { "name": "prev_motion_lora", "type": "MOTION_LORA", "link": null } ], "outputs": [ { "name": "MOTION_LORA", "type": "MOTION_LORA", "links": [ 505 ], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": "ADE_AnimateDiffLoRALoader", "ttNbgOverride": { "color": "#222", "bgcolor": "#000", "groupcolor": "#444" } }, "widgets_values": [ "WAS26.safetensors", 0.5 ], "color": "#222", "bgcolor": "#000" }, { "id": 241, "type": "UltimateSDUpscale", "pos": [ 3886, 515 ], "size": { "0": 397.2447509765625, "1": 836.3758544921875 }, "flags": {}, "order": 27, "mode": 4, "inputs": [ { "name": "image", "type": "IMAGE", "link": 513 }, { "name": "model", "type": "MODEL", "link": 516 }, { "name": "positive", "type": "CONDITIONING", "link": 518 }, { "name": "negative", "type": "CONDITIONING", "link": 520 }, { "name": "vae", "type": "VAE", "link": 523 }, { "name": "upscale_model", "type": "UPSCALE_MODEL", "link": 360, "slot_index": 5 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": "UltimateSDUpscale" }, "widgets_values": [ 4, 949838432174038, "randomize", 10, 1.5, "lcm", "sgm_uniform", 0.55, "Linear", 640, 640, 32, 64, "None", 0.75, 64, 16, 32, true, false ], "color": "#282828", "bgcolor": "#141414" }, { "id": 324, "type": "Note Plus (mtb)", "pos": { "0": 4758, "1": 121, "2": 0, "3": 0, "4": 0, "5": 0, "6": 0, "7": 0, "8": 0, "9": 0 }, "size": { "0": 418.51519775390625, "1": 392 }, "flags": {}, "order": 6, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "After the SD1.5 checkpoint, this is probably the biggest for input video adherence. \n\n

\n\nI recommend you check out this website for finding a good model fro your use-case: https://openmodeldb.info/\n\n

\n\nFor AI animations: https://openmodeldb.info/models/4x-LexicaDAT2-otf\n\n

\n\nFor anime: https://openmodeldb.info/models/4x-IllustrationJaNai-V1-DAT2\n\n

\n\nFor realistic: https://openmodeldb.info/models/4x-RealisticRescaler\n\n", "markdown", "", "one_dark" ], "color": "#432", "bgcolor": "#653", "shape": 1 }, { "id": 344, "type": "VRAM_Debug", "pos": [ 4766, 570 ], "size": { "0": 371.20001220703125, "1": 186 }, "flags": {}, "order": 30, "mode": 0, "inputs": [ { "name": "any_input", "type": "*", "link": null }, { "name": "image_pass", "type": "IMAGE", "link": 544 }, { "name": "model_pass", "type": "MODEL", "link": null } ], "outputs": [ { "name": "any_output", "type": "*", "links": null, "shape": 3 }, { "name": "image_pass", "type": "IMAGE", "links": [ 552 ], "shape": 3, "slot_index": 1 }, { "name": "model_pass", "type": "MODEL", "links": null, "shape": 3 }, { "name": "18,249,429,266 freemem_before", "type": "INT", "links": null, "shape": 3 }, { "name": "18,249,429,266 freemem_after", "type": "INT", "links": null, "shape": 3 } ], "properties": { "Node name for S&R": "VRAM_Debug" }, "widgets_values": [ true, true, false ] }, { "id": 333, 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"outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 565 ], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": "FreeU_V2" }, "widgets_values": [ 0.9500000000000001, 1.25, 0.9, 1.1 ] }, { "id": 322, "type": "Note Plus (mtb)", "pos": { "0": 3874, "1": 1412, "2": 0, "3": 0, "4": 0, "5": 0, "6": 0, "7": 0, "8": 0, "9": 0 }, "size": { "0": 406.16973876953125, "1": 251.1931915283203 }, "flags": {}, "order": 10, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "I haven't played around too much with a lot of the settings here.\n

\nDenoise is probably the most significant - naturally, the higer you set it the more stuff it generated. Anything above 0.6 tends to cause weird issues, below 0.2 tends to not fix stuff. 0.4 is best in my experience - especailly with the tiling stuff applied.\n

\nIf you want it to run faster, turning down the scale will help but will result in less detail being generated.", "markdown", "", "one_dark" ], "color": "#432", "bgcolor": "#653", "shape": 1 }, { "id": 353, "type": "JWDatetimeString", "pos": [ 5333, 986 ], "size": { "0": 315, "1": 58 }, "flags": {}, "order": 11, "mode": 0, "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 570 ], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": "JWDatetimeString" }, "widgets_values": [ "%Y-%m-%dT%H-%M-%S" ] }, { "id": 354, "type": "JWStringConcat", "pos": [ 5728.987392425734, 928.1324472830624 ], "size": { "0": 210, "1": 54 }, "flags": {}, "order": 18, "mode": 0, "inputs": [ { "name": "a", "type": "STRING", "link": 569, "widget": { "name": "a" } }, { "name": "b", "type": "STRING", "link": 570, "widget": { "name": "b" } } ], "outputs": [ { "name": "STRING", "type": "STRING", "links": [ 571 ], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": 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