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"link": 1242 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "title": "FIRST IMAGE UPSCALED", "properties": { "cnr_id": "comfy-core", "ver": "0.11.1", "Node name for S&R": "SaveImage", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "Anima" ], "widgets_values_named": { "filename_prefix": "Anima" }, "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 851, "type": "Image Comparer (rgthree)", "pos": [ 10786.624724527257, -1555.2460077148585 ], "size": [ 2464.0981593287966, 2148.3930647890984 ], "flags": {}, "order": 86, "mode": 4, "inputs": [ { "dir": 3, "name": "image_a", "type": "IMAGE", "link": 1243 }, { "dir": 3, "name": "image_b", "type": "IMAGE", "link": 1244 } ], "outputs": [ { "dir": 4, "name": "images", "shape": 3, "type": "IMAGE", "links": null } ], "properties": { "cnr_id": "rgthree-comfy", "ver": "683836c46e898668936c433502504cc0627482c5", "comparer_mode": "Slide", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ [ { "name": "A", "selected": true, "url": "/api/view?filename=rgthree.compare._temp_dkcem_00001_.png&type=temp&subfolder=&rand=0.9913067010716883" }, { "name": "B", "selected": true, "url": "/api/view?filename=rgthree.compare._temp_dkcem_00002_.png&type=temp&subfolder=&rand=0.13702942579196808" } ] ], "widgets_values_named": { "rgthree_comparer": { "images": [ { "name": "A", "selected": true, "url": "/api/view?filename=rgthree.compare._temp_dkcem_00001_.png&type=temp&subfolder=&rand=0.9913067010716883", "img": {} }, { "name": "B", "selected": true, "url": "/api/view?filename=rgthree.compare._temp_dkcem_00002_.png&type=temp&subfolder=&rand=0.13702942579196808", "img": {} } ] } } }, { "id": 913, "type": "DWPreprocessor", "pos": [ 7366.199649705155, 265.5054061437171 ], "size": [ 378.80235683039064, 222 ], "flags": {}, "order": 59, "mode": 4, "inputs": [ { "name": "image", "type": "IMAGE", "link": 1370 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 1371 ] }, { "name": "POSE_KEYPOINT", "type": "POSE_KEYPOINT", "links": null } ], "properties": { "cnr_id": "comfyui_controlnet_aux", "ver": "e8b689a513c3e6b63edc44066560ca5919c0576e", "Node name for S&R": "DWPreprocessor", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "enable", "enable", "enable", 512, "yolox_l.onnx", "dw-ll_ucoco_384_bs5.torchscript.pt", "disable" ], "widgets_values_named": { "detect_hand": "enable", "detect_body": "enable", "detect_face": "enable", "resolution": 512, "bbox_detector": "yolox_l.onnx", "pose_estimator": "dw-ll_ucoco_384_bs5.torchscript.pt", "scale_stick_for_xinsr_cn": "disable" } }, { "id": 911, "type": "DepthAnythingV2Preprocessor", "pos": [ 7368.547811174109, 572.0333034936842 ], "size": [ 370.7718546265336, 82 ], "flags": {}, "order": 57, "mode": 4, "inputs": [ { "name": "image", "type": "IMAGE", "link": 1368 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 1372 ] } ], "properties": { "cnr_id": "comfyui_controlnet_aux", "ver": "e8b689a513c3e6b63edc44066560ca5919c0576e", "Node name for S&R": "DepthAnythingV2Preprocessor", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "depth_anything_v2_vitl.pth", 512 ], "widgets_values_named": { "ckpt_name": "depth_anything_v2_vitl.pth", "resolution": 512 } }, { "id": 912, "type": "Any Switch (rgthree)", "pos": [ 7375.26887095581, 751.3267221520443 ], "size": [ 175.8189453125, 106 ], "flags": { "collapsed": true }, "order": 58, "mode": 4, "inputs": [ { "dir": 3, "name": "any_01", "type": "IMAGE", "link": 1369 }, { "dir": 3, "name": "any_02", "type": "IMAGE", "link": null }, { "dir": 3, "name": "any_03", "type": "IMAGE", "link": null }, { "dir": 3, "name": "any_04", "type": "IMAGE", "link": null }, { "name": "any_05", "type": "IMAGE", "link": null } ], "outputs": [ { "dir": 4, "label": "IMAGE", "name": "*", "shape": 3, "type": "IMAGE", "links": [ 1373 ] } ], "properties": { "cnr_id": "rgthree-comfy", "ver": "8ff50e4521881eca1fe26aec9615fc9362474931", "ue_properties": { "widget_ue_connectable": {}, "version": "7.7", "input_ue_unconnectable": {} } } }, { "id": 919, "type": "PreviewImage", "pos": [ 6663.83697539258, 501.2056224543294 ], "size": [ 661.4962906207836, 266.5883473986851 ], "flags": {}, "order": 88, "mode": 4, "inputs": [ { "name": "images", "type": "IMAGE", "link": 1520 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "properties": { "cnr_id": "comfy-core", "ver": "0.20.1", "Node name for S&R": "PreviewImage", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [], "widgets_values_named": {} }, { "id": 847, "type": "SaveImage", "pos": [ 7811.098551784718, -1567.4788809033184 ], "size": [ 1447.178596002838, 1052.3163047025807 ], "flags": {}, "order": 82, "mode": 4, "inputs": [ { "name": "images", "type": "IMAGE", "link": 1512 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "title": "FIRST IMAGE", "properties": { "cnr_id": "comfy-core", "ver": "0.11.1", "Node name for S&R": "SaveImage", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "Anima" ], "widgets_values_named": { "filename_prefix": "Anima" } }, { "id": 914, "type": "Any Switch (rgthree)", "pos": [ 7379.032949840082, 38.256232995860955 ], "size": [ 175.8189453125, 106 ], "flags": { "collapsed": true }, "order": 67, "mode": 4, "inputs": [ { "dir": 3, "name": "any_01", "type": "IMAGE", "link": 1371 }, { "dir": 3, "name": "any_02", "type": "IMAGE", "link": 1372 }, { "dir": 3, "name": "any_03", "type": "IMAGE", "link": 1373 }, { "dir": 3, "name": "any_04", "type": "IMAGE", "link": null }, { "name": "any_05", "type": "IMAGE", "link": null } ], "outputs": [ { "dir": 4, "label": "IMAGE", "name": "*", "shape": 3, "type": "IMAGE", "links": [ 1506, 2128 ] } ], "properties": { "cnr_id": "rgthree-comfy", "ver": "8ff50e4521881eca1fe26aec9615fc9362474931", "ue_properties": { "widget_ue_connectable": {}, "version": "7.7", "input_ue_unconnectable": {} } } }, { "id": 841, "type": "Fast Groups Bypasser (rgthree)", "pos": [ 6215.470062888702, -494.39169932120694 ], "size": [ 383.98818814350227, 82 ], "flags": {}, "order": 18, "mode": 0, "inputs": [], "outputs": [ { "name": "OPT_CONNECTION", "type": "*", "links": null } ], "properties": { "matchColors": "", "matchTitle": "DETAILED UPSCALED IMGTURBO", "showNav": true, "showAllGraphs": true, "sort": "position", "customSortAlphabet": "", "toggleRestriction": "default", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } } }, { "id": 852, "type": "Label (rgthree)", "pos": [ 6653.93689989268, -1832.9440715267592 ], "size": [ 2317.96875, 120 ], "flags": { "allow_interaction": true }, "order": 19, "mode": 0, "inputs": [], "outputs": [], "title": "IMAGE TO IMAGE TURBO CONTROLNET", "properties": { "fontSize": 120, "fontFamily": "Arial", "fontColor": "#ffffff", "textAlign": "left", "backgroundColor": "red", "padding": 0, "borderRadius": 0, "angle": 0, "ue_properties": { "version": "7.5.1", "widget_ue_connectable": {}, "input_ue_unconnectable": {} } }, "color": "#fff0", "bgcolor": "#fff0" }, { "id": 951, "type": "99a6834f-8b2a-48a8-b994-5821dc367dec", "pos": [ 7351.500475291046, -1164.0134099453758 ], "size": [ 400.3839141133103, 226 ], "flags": {}, "order": 89, "mode": 4, "inputs": [ { "name": "seed", "type": "INT", "widget": { "name": "seed" }, "link": 1497 }, { "name": "model", "type": "MODEL", "link": 2133 }, { "name": "clip", "type": "CLIP", "link": 1499 }, { "name": "vae", "type": "VAE", "link": 1500 }, { "name": "positive", "type": "CONDITIONING", "link": 1501 }, { "name": "negative", "type": "CONDITIONING", "link": 1502 }, { "name": "width", "type": "INT", "widget": { "name": "width" }, "link": 1503 }, { "name": "height", "type": "INT", "widget": { "name": "height" }, "link": 1504 }, { "name": "samples", "type": "LATENT", "link": 1505 }, { "name": "image", "type": "IMAGE", "link": 1506 } ], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 1507, 1508, 1509 ] }, { "name": "image", "type": "IMAGE", "links": [ 1510, 1511, 1512 ] }, { "label": "width", "name": "width", "type": "INT", "links": [ 1513, 1514, 1515 ] }, { "label": "height", "name": "height", "type": "INT", "links": [ 1516, 1517, 1518 ] }, { "name": "LATENT", "type": "LATENT", "links": [ 1519 ] }, { "name": "IMAGE", "type": "IMAGE", "links": [ 1520 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.20.1", "ue_properties": { "widget_ue_connectable": { "seed": true, "width": true, "height": true }, "version": "7.8", "input_ue_unconnectable": {} }, "previewExposures": [] }, "widgets_values": [ 934442581015344, 1024, 1024 ], "widgets_values_named": { "seed": 934442581015344, "width": 1024, "height": 1024 } }, { "id": 956, "type": "Note", "pos": [ 172.90657398259626, -704.4175089007193 ], "size": [ 371.9703153406741, 176.43747573391306 ], "flags": {}, "order": 20, "mode": 0, "inputs": [], "outputs": [], "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "TO AVOID WEIRD RATIO LOOKING IMAGES, PREFER USING THE FOLLOWING RESOLUTIONS: \n\n[1:1] 1024x1024\n[3:4] 896x1152\n[5:8] 832x1216\n[9:16] 768x1344\n[9:21] 640x1536\n\n\nYou can still use other resolutions if you want but the integrity of the image/character is not garanteed" ], "widgets_values_named": { "text": "TO AVOID WEIRD RATIO LOOKING IMAGES, PREFER USING THE FOLLOWING RESOLUTIONS: \n\n[1:1] 1024x1024\n[3:4] 896x1152\n[5:8] 832x1216\n[9:16] 768x1344\n[9:21] 640x1536\n\n\nYou can still use other resolutions if you want but the integrity of the image/character is not garanteed" }, "color": "#432", "bgcolor": "#653", "shape": "default" }, { "id": 959, "type": "Note", "pos": [ 6227.953298794815, -727.5948376559434 ], "size": [ 371.9703153406741, 176.43747573391306 ], "flags": {}, "order": 21, "mode": 0, "inputs": [], "outputs": [], "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "TO AVOID WEIRD RATIO LOOKING IMAGES, PREFER USING THE FOLLOWING RESOLUTIONS: \n\n[1:1] 1024x1024\n[3:4] 896x1152\n[5:8] 832x1216\n[9:16] 768x1344\n[9:21] 640x1536\n\n\nYou can still use other resolutions if you want but the integrity of the image/character is not garanteed" ], "widgets_values_named": { "text": "TO AVOID WEIRD RATIO LOOKING IMAGES, PREFER USING THE FOLLOWING RESOLUTIONS: \n\n[1:1] 1024x1024\n[3:4] 896x1152\n[5:8] 832x1216\n[9:16] 768x1344\n[9:21] 640x1536\n\n\nYou can still use other resolutions if you want but the integrity of the image/character is not garanteed" }, "color": "#432", "bgcolor": "#653", "shape": "default" }, { "id": 952, "type": "Note", "pos": [ -263.057179950155, -1437.9028708896153 ], "size": [ 413.0514574006345, 440.38041359102476 ], "flags": {}, "order": 22, "mode": 0, "inputs": [], "outputs": [], "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "Use anime tags for the subject/style, then use normal English to describe the scene.\n\nThe only prompt formula you need is this:\n\n\nPOSITIVE PROMPT EXAMPLE:\n\nmasterpiece, best quality, score_7, safe, highres, official art,\n1girl, solo,\n@artist name,\nclean lineart, detailed eyes, soft shading,\n\nA young anime woman with long silver hair and blue eyes is standing in a rainy neon city at night. She wears a black futuristic jacket with glowing blue details. The camera is a medium close-up, with wet pavement reflections, soft background blur, and cinematic lighting.\n\n\n\nNEGATIVE PROMPTS EXAMPLE:\n\n\nworst quality, low quality, score_1, score_2, score_3, artist name, bad anatomy, bad hands, missing fingers, extra fingers, extra arms, extra legs, duplicate, twins, text, watermark, signature, simple background\n\n\n\n\nARTIST NAMES: \nhttps://thetacursed.github.io/Anima-Style-Explorer/index.html\n" ], "widgets_values_named": { "text": "Use anime tags for the subject/style, then use normal English to describe the scene.\n\nThe only prompt formula you need is this:\n\n\nPOSITIVE PROMPT EXAMPLE:\n\nmasterpiece, best quality, score_7, safe, highres, official art,\n1girl, solo,\n@artist name,\nclean lineart, detailed eyes, soft shading,\n\nA young anime woman with long silver hair and blue eyes is standing in a rainy neon city at night. She wears a black futuristic jacket with glowing blue details. The camera is a medium close-up, with wet pavement reflections, soft background blur, and cinematic lighting.\n\n\n\nNEGATIVE PROMPTS EXAMPLE:\n\n\nworst quality, low quality, score_1, score_2, score_3, artist name, bad anatomy, bad hands, missing fingers, extra fingers, extra arms, extra legs, duplicate, twins, text, watermark, signature, simple background\n\n\n\n\nARTIST NAMES: \nhttps://thetacursed.github.io/Anima-Style-Explorer/index.html\n" }, "color": "#432", "bgcolor": "#653" }, { "id": 475, "type": "INTConstant", "pos": [ 602.3515830584074, -560.9204616869971 ], "size": [ 215.4146779042852, 81.89979260936576 ], "flags": {}, "order": 23, "mode": 4, "inputs": [], "outputs": [ { "name": "value", "type": "INT", "links": [ 927 ] } ], "title": "WIDTH", "properties": { "cnr_id": "comfyui-kjnodes", "ver": "c6ce76d00bb8177d1b0286cad891df08eff5226e", "Node name for S&R": "INTConstant", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.2" } }, "widgets_values": [ 1920 ], "widgets_values_named": { "value": 1920 }, "color": "#1b4669", "bgcolor": "#29699c" }, { "id": 482, "type": "INTConstant", "pos": [ 826.839568483907, -560.9204616869971 ], "size": [ 211.8048926347618, 81.46369720136386 ], "flags": {}, "order": 24, "mode": 4, "inputs": [], "outputs": [ { "name": "value", "type": "INT", "links": [ 928 ] } ], "title": "HEIGHT", "properties": { "cnr_id": "comfyui-kjnodes", "ver": "c6ce76d00bb8177d1b0286cad891df08eff5226e", "Node name for S&R": "INTConstant", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.2" } }, "widgets_values": [ 1080 ], "widgets_values_named": { "value": 1080 }, "color": "#1b4669", "bgcolor": "#29699c" }, { "id": 470, "type": "ttN seed", "pos": [ 1051.0826247995165, -560.9204616869971 ], "size": [ 210, 82 ], "flags": {}, "order": 25, "mode": 4, "inputs": [], "outputs": [ { "name": "seed", "type": "INT", "links": [ 625, 921, 956, 966 ] } ], "title": "SEED", "properties": { "cnr_id": "comfyui_tinyterranodes", "ver": "2.0.11", "Node name for S&R": "ttN seed", "ttNnodeVersion": "1.0.0", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ 908195154852613, "fixed" ], "widgets_values_named": { "seed": 908195154852613, "control_after_generate": "fixed" } }, { "id": 48, "type": "CLIPTextEncode", "pos": [ 609.5266171173034, -857.5694025630294 ], "size": [ 648.1394685943166, 261.7251102637979 ], "flags": { "collapsed": false }, "order": 61, "mode": 4, "inputs": [ { "name": "clip", "type": "CLIP", "link": 100 } ], "outputs": [ { "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 3, 926, 946, 954, 964 ] } ], "title": "CLIP Text Encode (Negative Prompt)", "properties": { "cnr_id": "comfy-core", "ver": "0.3.65", "Node name for S&R": "CLIPTextEncode", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "" ], "widgets_values_named": { "text": "" }, "color": "#322", "bgcolor": "#533" }, { "id": 960, "type": "Note", "pos": [ 5771.207154350673, -1606.1273545780366 ], "size": [ 413.0514574006345, 440.38041359102476 ], "flags": {}, "order": 26, "mode": 0, "inputs": [], "outputs": [], "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "Use anime tags for the subject/style, then use normal English to describe the scene.\n\nThe only prompt formula you need is this:\n\n\nPOSITIVE PROMPT EXAMPLE:\n\nmasterpiece, best quality, score_7, safe, highres, official art,\n1girl, solo,\n@artist name,\nclean lineart, detailed eyes, soft shading,\n\nA young anime woman with long silver hair and blue eyes is standing in a rainy neon city at night. She wears a black futuristic jacket with glowing blue details. The camera is a medium close-up, with wet pavement reflections, soft background blur, and cinematic lighting.\n\n\n\nNEGATIVE PROMPTS EXAMPLE:\n\n\nworst quality, low quality, score_1, score_2, score_3, artist name, bad anatomy, bad hands, missing fingers, extra fingers, extra arms, extra legs, duplicate, twins, text, watermark, signature, simple background\n\n\n\n\nARTIST NAMES: \nhttps://thetacursed.github.io/Anima-Style-Explorer/index.html\n" ], "widgets_values_named": { "text": "Use anime tags for the subject/style, then use normal English to describe the scene.\n\nThe only prompt formula you need is this:\n\n\nPOSITIVE PROMPT EXAMPLE:\n\nmasterpiece, best quality, score_7, safe, highres, official art,\n1girl, solo,\n@artist name,\nclean lineart, detailed eyes, soft shading,\n\nA young anime woman with long silver hair and blue eyes is standing in a rainy neon city at night. She wears a black futuristic jacket with glowing blue details. 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"outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 1241, 1244 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.20.1", "ue_properties": { "widget_ue_connectable": { "seed": true, "tile_width": true, "tile_height": true }, "version": "7.8", "input_ue_unconnectable": {} }, "previewExposures": [] }, "widgets_values": [ 602693918129538, 512, 512, "4x-ClearRealityV1.pth", 2, "er_sde", "simple", 0.28 ], "widgets_values_named": { "seed": 602693918129538, "tile_width": 512, "tile_height": 512, "model_name": "4x-ClearRealityV1.pth", "cfg": 2, "sampler_name": "er_sde", "scheduler": "simple", "denoise": 0.28 }, "color": "#223", "bgcolor": "#335" }, { "id": 833, "type": "48ed245b-5ece-4aae-9b9c-dfffd0eede29", "pos": [ 7356.286974403796, -850.6972788181101 ], "size": [ 394.5163507372167, 306 ], "flags": {}, "order": 79, "mode": 4, "inputs": [ { "name": "upscaled_image", "type": "IMAGE", "link": 1510 }, { "name": "model", "type": "MODEL", "link": 1507 }, { "name": "positive", "type": "CONDITIONING", "link": 1204 }, { "name": "negative", "type": "CONDITIONING", "link": 1205 }, { "name": "vae", "type": "VAE", "link": 1206 }, { "name": "seed", "type": "INT", "widget": { "name": "seed" }, "link": 1207 }, { "name": "tile_width", "type": "INT", "widget": { "name": "tile_width" }, "link": 1513 }, { "name": "tile_height", "type": "INT", "widget": { "name": "tile_height" }, "link": 1516 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 1210, 1240 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.20.1", "ue_properties": { "widget_ue_connectable": { "seed": true, "tile_width": true, "tile_height": true }, "version": "7.8", "input_ue_unconnectable": {} }, "previewExposures": [] }, "widgets_values": [ 0, 512, 512, "er_sde", "simple", 0.25 ], "widgets_values_named": { "seed": 0, "tile_width": 512, "tile_height": 512, "sampler_name": "er_sde", "scheduler": "simple", "denoise": 0.25 }, "color": "#233", "bgcolor": "#355" }, { "id": 837, "type": "43fb945b-5e28-4b29-9bf8-76790c7681e7", "pos": [ 7359.659997626382, -1568.9562708035937 ], "size": [ 391.3753056079231, 354 ], "flags": {}, "order": 81, "mode": 4, "inputs": [ { "name": "image", "type": "IMAGE", "link": 1511 }, { "name": "model", "type": "MODEL", "link": 1509 }, { "name": "positive", "type": "CONDITIONING", "link": 1221 }, { "name": "negative", "type": "CONDITIONING", "link": 1222 }, { "name": "vae", "type": "VAE", "link": 1223 }, { "name": "tile_width", "type": "INT", "widget": { "name": "tile_width" }, "link": 1515 }, { "name": "tile_height", "type": "INT", "widget": { "name": "tile_height" }, "link": 1518 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 1242, 1243 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.20.1", "ue_properties": { "widget_ue_connectable": { "tile_width": true, "tile_height": true }, "version": "7.8", "input_ue_unconnectable": {} }, "previewExposures": [] }, "widgets_values": [ 512, 512, "4x_foolhardy_Remacri.pth", 12, 2, "er_sde", "simple", 0.28 ], "widgets_values_named": { "tile_width": 512, "tile_height": 512, "model_name": "4x_foolhardy_Remacri.pth", "steps": 12, "cfg": 2, "sampler_name": "er_sde", "scheduler": "simple", "denoise": 0.28 }, "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 1019, "type": "CLIPTextEncode", "pos": [ 2627.8525403764365, 1472.9934510449857 ], "size": [ 648.126732473296, 293.5030942854394 ], "flags": { "collapsed": false }, "order": 63, "mode": 4, "inputs": [ { "name": "clip", "type": "CLIP", "link": 1582 } ], "outputs": [ { "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 1585, 2084 ] } ], "title": "CLIP Text Encode (Positive Prompt)", "properties": { "cnr_id": "comfy-core", "ver": "0.3.65", "Node name for S&R": "CLIPTextEncode", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "" ], "widgets_values_named": { "text": "" }, "color": "#232", "bgcolor": "#353" }, { "id": 955, "type": "Note", "pos": [ -268.8315292097191, -955.3372131473446 ], "size": [ 420.8266895220115, 1013.0945153065567 ], "flags": {}, "order": 40, "mode": 0, "inputs": [], "outputs": [], "title": "Copy-paste this into ChatGPT", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "You are an expert prompt writer for the AI image model Anima base.\n\nYour job is to convert the user's idea into a high-quality Anima base prompt.\n\nYou must follow these rules exactly:\n\n1. Write prompts in the style that works best for Anima base:\n- Start with quality tags\n- Then subject tags\n- Then optional artist tag if relevant\n- Then useful anime-style tags\n- Then a clear natural-language description of the scene\n\n2. Use this general structure for the positive prompt:\nmasterpiece, best quality, score_7, safe, highres, official art,\n[subject count tags],\n[character tags if any],\n[@artist name if requested],\n[useful anime tags],\n[2 to 4 clear natural-language sentences describing the subject, outfit, pose, composition, background, lighting, and mood]\n\n3. Use Danbooru-style tags when useful, but keep them readable and simple.\nUse lowercase tags with spaces, not underscores, except for tags like score_7.\n\n4. Do not make the prompt too short.\nAlways make the natural-language part descriptive and precise.\n\n5. If the user asks for a specific character, also describe the character's appearance clearly.\n\n6. If the user asks for multiple characters:\n- clearly separate them\n- describe each one individually\n- use wording like:\n \"On the left side of the image...\"\n \"On the right side of the image...\"\n- avoid mixing their traits together\n\n7. Always generate a negative prompt too.\n\n8. The negative prompt should usually include:\nworst quality, low quality, score_1, score_2, score_3, artist name, bad anatomy, bad hands, missing fingers, extra fingers, extra arms, extra legs, duplicate, twins, text, watermark, signature, simple background\n\n9. If the user request is vague, fill in missing visual details intelligently while staying faithful to the idea.\n\n10. Output in this exact format:\n\nPOSITIVE PROMPT:\n[full positive prompt]\n\nNEGATIVE PROMPT:\n[full negative prompt]\n\nSHORT REASONING:\n[brief explanation of why the prompt is structured this way]\n\n\nThe end goal should look something like this:\n\nmasterpiece, best quality, score_7, safe, highres, official art,\n1girl, solo,\n@artist name,\nclean lineart, detailed eyes, soft shading,\n\nA young anime woman with long silver hair and blue eyes is standing in a rainy neon city at night. She wears a black futuristic jacket with glowing blue details. The camera is a medium close-up, with wet pavement reflections, soft background blur, and cinematic lighting.\n\n\nIf the user does not provide a specific artist name, choose a random artist name.\n\nNow wait for the user's image idea and convert it into a finished Anima base prompt." ], "widgets_values_named": { "text": "You are an expert prompt writer for the AI image model Anima base.\n\nYour job is to convert the user's idea into a high-quality Anima base prompt.\n\nYou must follow these rules exactly:\n\n1. Write prompts in the style that works best for Anima base:\n- Start with quality tags\n- Then subject tags\n- Then optional artist tag if relevant\n- Then useful anime-style tags\n- Then a clear natural-language description of the scene\n\n2. Use this general structure for the positive prompt:\nmasterpiece, best quality, score_7, safe, highres, official art,\n[subject count tags],\n[character tags if any],\n[@artist name if requested],\n[useful anime tags],\n[2 to 4 clear natural-language sentences describing the subject, outfit, pose, composition, background, lighting, and mood]\n\n3. Use Danbooru-style tags when useful, but keep them readable and simple.\nUse lowercase tags with spaces, not underscores, except for tags like score_7.\n\n4. Do not make the prompt too short.\nAlways make the natural-language part descriptive and precise.\n\n5. If the user asks for a specific character, also describe the character's appearance clearly.\n\n6. If the user asks for multiple characters:\n- clearly separate them\n- describe each one individually\n- use wording like:\n \"On the left side of the image...\"\n \"On the right side of the image...\"\n- avoid mixing their traits together\n\n7. Always generate a negative prompt too.\n\n8. The negative prompt should usually include:\nworst quality, low quality, score_1, score_2, score_3, artist name, bad anatomy, bad hands, missing fingers, extra fingers, extra arms, extra legs, duplicate, twins, text, watermark, signature, simple background\n\n9. If the user request is vague, fill in missing visual details intelligently while staying faithful to the idea.\n\n10. Output in this exact format:\n\nPOSITIVE PROMPT:\n[full positive prompt]\n\nNEGATIVE PROMPT:\n[full negative prompt]\n\nSHORT REASONING:\n[brief explanation of why the prompt is structured this way]\n\n\nThe end goal should look something like this:\n\nmasterpiece, best quality, score_7, safe, highres, official art,\n1girl, solo,\n@artist name,\nclean lineart, detailed eyes, soft shading,\n\nA young anime woman with long silver hair and blue eyes is standing in a rainy neon city at night. She wears a black futuristic jacket with glowing blue details. The camera is a medium close-up, with wet pavement reflections, soft background blur, and cinematic lighting.\n\n\nIf the user does not provide a specific artist name, choose a random artist name.\n\nNow wait for the user's image idea and convert it into a finished Anima base prompt." }, "color": "#432", "bgcolor": "#653" }, { "id": 961, "type": "Note", "pos": [ 5765.432805091108, -1123.5616968357658 ], "size": [ 420.8266895220115, 1013.0945153065567 ], "flags": {}, "order": 41, "mode": 0, "inputs": [], "outputs": [], "title": "Copy-paste this into ChatGPT", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "You are an expert prompt writer for the AI image model Anima base.\n\nYour job is to convert the user's idea into a high-quality Anima base prompt.\n\nYou must follow these rules exactly:\n\n1. Write prompts in the style that works best for Anima base:\n- Start with quality tags\n- Then subject tags\n- Then optional artist tag if relevant\n- Then useful anime-style tags\n- Then a clear natural-language description of the scene\n\n2. Use this general structure for the positive prompt:\nmasterpiece, best quality, score_7, safe, highres, official art,\n[subject count tags],\n[character tags if any],\n[@artist name if requested],\n[useful anime tags],\n[2 to 4 clear natural-language sentences describing the subject, outfit, pose, composition, background, lighting, and mood]\n\n3. Use Danbooru-style tags when useful, but keep them readable and simple.\nUse lowercase tags with spaces, not underscores, except for tags like score_7.\n\n4. Do not make the prompt too short.\nAlways make the natural-language part descriptive and precise.\n\n5. If the user asks for a specific character, also describe the character's appearance clearly.\n\n6. If the user asks for multiple characters:\n- clearly separate them\n- describe each one individually\n- use wording like:\n \"On the left side of the image...\"\n \"On the right side of the image...\"\n- avoid mixing their traits together\n\n7. Always generate a negative prompt too.\n\n8. The negative prompt should usually include:\nworst quality, low quality, score_1, score_2, score_3, artist name, bad anatomy, bad hands, missing fingers, extra fingers, extra arms, extra legs, duplicate, twins, text, watermark, signature, simple background\n\n9. If the user request is vague, fill in missing visual details intelligently while staying faithful to the idea.\n\n10. Output in this exact format:\n\nPOSITIVE PROMPT:\n[full positive prompt]\n\nNEGATIVE PROMPT:\n[full negative prompt]\n\nSHORT REASONING:\n[brief explanation of why the prompt is structured this way]\n\n\nThe end goal should look something like this:\n\nmasterpiece, best quality, score_7, safe, highres, official art,\n1girl, solo,\n@artist name,\nclean lineart, detailed eyes, soft shading,\n\nA young anime woman with long silver hair and blue eyes is standing in a rainy neon city at night. She wears a black futuristic jacket with glowing blue details. The camera is a medium close-up, with wet pavement reflections, soft background blur, and cinematic lighting.\n\n\nIf the user does not provide a specific artist name, choose a random artist name.\n\nNow wait for the user's image idea and convert it into a finished Anima base prompt." ], "widgets_values_named": { "text": "You are an expert prompt writer for the AI image model Anima base.\n\nYour job is to convert the user's idea into a high-quality Anima base prompt.\n\nYou must follow these rules exactly:\n\n1. Write prompts in the style that works best for Anima base:\n- Start with quality tags\n- Then subject tags\n- Then optional artist tag if relevant\n- Then useful anime-style tags\n- Then a clear natural-language description of the scene\n\n2. Use this general structure for the positive prompt:\nmasterpiece, best quality, score_7, safe, highres, official art,\n[subject count tags],\n[character tags if any],\n[@artist name if requested],\n[useful anime tags],\n[2 to 4 clear natural-language sentences describing the subject, outfit, pose, composition, background, lighting, and mood]\n\n3. Use Danbooru-style tags when useful, but keep them readable and simple.\nUse lowercase tags with spaces, not underscores, except for tags like score_7.\n\n4. Do not make the prompt too short.\nAlways make the natural-language part descriptive and precise.\n\n5. If the user asks for a specific character, also describe the character's appearance clearly.\n\n6. If the user asks for multiple characters:\n- clearly separate them\n- describe each one individually\n- use wording like:\n \"On the left side of the image...\"\n \"On the right side of the image...\"\n- avoid mixing their traits together\n\n7. Always generate a negative prompt too.\n\n8. The negative prompt should usually include:\nworst quality, low quality, score_1, score_2, score_3, artist name, bad anatomy, bad hands, missing fingers, extra fingers, extra arms, extra legs, duplicate, twins, text, watermark, signature, simple background\n\n9. If the user request is vague, fill in missing visual details intelligently while staying faithful to the idea.\n\n10. Output in this exact format:\n\nPOSITIVE PROMPT:\n[full positive prompt]\n\nNEGATIVE PROMPT:\n[full negative prompt]\n\nSHORT REASONING:\n[brief explanation of why the prompt is structured this way]\n\n\nThe end goal should look something like this:\n\nmasterpiece, best quality, score_7, safe, highres, official art,\n1girl, solo,\n@artist name,\nclean lineart, detailed eyes, soft shading,\n\nA young anime woman with long silver hair and blue eyes is standing in a rainy neon city at night. She wears a black futuristic jacket with glowing blue details. The camera is a medium close-up, with wet pavement reflections, soft background blur, and cinematic lighting.\n\n\nIf the user does not provide a specific artist name, choose a random artist name.\n\nNow wait for the user's image idea and convert it into a finished Anima base prompt." }, "color": "#432", "bgcolor": "#653" }, { "id": 2, "type": "Power Lora Loader (rgthree)", "pos": [ 604.502722705296, -1492.9045840752417 ], "size": [ 649.292884831141, 262 ], "flags": {}, "order": 53, "mode": 4, "inputs": [ { "dir": 3, "name": "model", "type": "MODEL", "link": 783 }, { "dir": 3, "name": "clip", "type": "CLIP", "link": 782 } ], "outputs": [ { "dir": 4, "name": "MODEL", "shape": 3, "type": "MODEL", "links": [ 181, 922 ] }, { "dir": 4, "name": "CLIP", "shape": 3, "type": "CLIP", "links": [ 99, 100, 923 ] } ], "properties": { "cnr_id": "rgthree-comfy", "ver": "8ff50e4521881eca1fe26aec9615fc9362474931", "Show Strengths": "Single Strength", "Match": "", "ue_properties": { 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