{ "id": "db70eafa-def5-4444-a34c-5dd38330b40e", "revision": 0, "last_node_id": 71, "last_link_id": 104, "nodes": [ { "id": 18, "type": "CLIPLoaderGGUF", "pos": [ 264.5625915527344, 100.74325561523438 ], "size": [ 337.3508605957031, 82 ], "flags": {}, "order": 0, "mode": 4, "inputs": [], "outputs": [ { "name": "CLIP", "type": "CLIP", "links": [] } ], "properties": { "cnr_id": "ComfyUI-GGUF", "ver": "6570efec6992015085f11b84e42d32f6cc71e8b7", "Node name for S&R": "CLIPLoaderGGUF", "widget_ue_connectable": {} }, "widgets_values": [ "umt5_xxl_fp8_e4m3fn_scaled.safetensors", "wan" ], "color": "#432", "bgcolor": "#653" }, { "id": 13, "type": "KSampler", "pos": [ 3672.39208984375, 383.5643310546875 ], "size": [ 292.2470703125, 328.0917663574219 ], "flags": {}, "order": 29, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 14 }, { "name": "positive", "type": "CONDITIONING", "link": 15 }, { "name": "negative", "type": "CONDITIONING", "link": 16 }, { "name": "latent_image", "type": "LATENT", "link": 17 } ], "outputs": [ { "name": "LATENT", "type": "LATENT", "slot_index": 0, "links": [ 3 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.36", "Node name for S&R": "KSampler", "widget_ue_connectable": {} }, "widgets_values": [ 14423412146400, "randomize", 10, 1, "euler", "beta", 1 ], "color": "#233", "bgcolor": "#355" }, { "id": 23, "type": "CLIPTextEncode", "pos": [ 2784.612548828125, 114.84661865234375 ], "size": [ 684.238525390625, 173.9671630859375 ], "flags": {}, "order": 25, "mode": 0, "inputs": [ { "name": "clip", "type": "CLIP", "link": 51 } ], "outputs": [ { "name": "CONDITIONING", "type": "CONDITIONING", "slot_index": 0, "links": [ 15 ] } ], "title": "CLIP Text Encode (Positive Prompt)", "properties": { "cnr_id": "comfy-core", "ver": "0.3.36", "Node name for S&R": "CLIPTextEncode", "widget_ue_connectable": {} }, "widgets_values": [ "portrait photo of a woman" ], "color": "#232", "bgcolor": "#353" }, { "id": 2, "type": "VAEDecode", "pos": [ 4005.860107421875, 915.845703125 ], "size": [ 210, 46 ], "flags": { "collapsed": false }, "order": 30, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 3 }, { "name": "vae", "type": "VAE", "link": 4 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "slot_index": 0, "links": [ 5 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.36", "Node name for S&R": "VAEDecode", "widget_ue_connectable": {} }, "widgets_values": [], "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 14, "type": "VAELoader", "pos": [ 3617.00439453125, 936.7306518554688 ], "size": [ 346.36004638671875, 58 ], "flags": { "collapsed": false }, "order": 1, "mode": 0, "inputs": [], "outputs": [ { "name": "VAE", "type": "VAE", "slot_index": 0, "links": [ 4 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.36", "Node name for S&R": "VAELoader", "models": [ { "name": "wan_2.1_vae.safetensors", "url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors?download=true", "directory": "vae" } ], "widget_ue_connectable": {} }, "widgets_values": [ "wan_2.1_vae.safetensors" ] }, { "id": 4, "type": "easy cleanGpuUsed", "pos": [ 4399.01513671875, 358.6150207519531 ], "size": [ 158.02499389648438, 26 ], "flags": {}, "order": 32, "mode": 0, "inputs": [ { "name": "anything", "type": "*", "link": 6 } ], "outputs": [ { "name": "output", "type": "*", "links": [ 21 ] } ], "properties": { "cnr_id": "comfyui-easy-use", "ver": "54614079ca96fa66c8953ff89dc66ca77245f5db", "Node name for S&R": "easy cleanGpuUsed", "widget_ue_connectable": {} }, "widgets_values": [] }, { "id": 29, "type": "easy clearCacheAll", "pos": [ 4586.04833984375, 356.7967529296875 ], "size": [ 140, 26 ], "flags": { "collapsed": false }, "order": 33, "mode": 0, "inputs": [ { "name": "anything", "type": "*", "link": 21 } ], "outputs": [ { "name": "output", "type": "*", "links": [ 22, 33 ] } ], "properties": { "cnr_id": "comfyui-easy-use", "ver": "54614079ca96fa66c8953ff89dc66ca77245f5db", "Node name for S&R": "easy clearCacheAll", "widget_ue_connectable": {} }, "widgets_values": [] }, { "id": 17, "type": "UnetLoaderGGUF", "pos": [ 268.0677185058594, -40.67063903808594 ], "size": [ 337.3508605957031, 79.50247955322266 ], "flags": {}, "order": 2, "mode": 4, "inputs": [], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [] } ], "properties": { "cnr_id": "ComfyUI-GGUF", "ver": "6570efec6992015085f11b84e42d32f6cc71e8b7", "Node name for S&R": "UnetLoaderGGUF", "widget_ue_connectable": {} }, "widgets_values": [ "wan2.1-t2v-14b-Q4_K_M.gguf" ], "color": "#432", "bgcolor": "#653" }, { "id": 43, "type": "UNETLoader", "pos": [ 657.2134399414062, -56.090782165527344 ], "size": [ 417.8115539550781, 82 ], "flags": {}, "order": 3, "mode": 0, "inputs": [], "outputs": [ { "name": "MODEL", "type": "MODEL", "slot_index": 0, "links": [ 46 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.16", "Node name for S&R": "UNETLoader", "widget_ue_connectable": {} }, "widgets_values": [ "Wan2.1\\wan2.1_t2v_14B_fp8_e4m3fn.safetensors", "default" ], "color": "#223", "bgcolor": "#335" }, { "id": 44, "type": "CLIPLoader", "pos": [ 660.6219482421875, 68.01708221435547 ], "size": [ 411.814208984375, 106 ], "flags": {}, "order": 4, "mode": 0, "inputs": [], "outputs": [ { "name": "CLIP", "type": "CLIP", "slot_index": 0, "links": [ 55 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.16", "Node name for S&R": "CLIPLoader", "widget_ue_connectable": {} }, "widgets_values": [ "umt5_xxl_fp8_e4m3fn_scaled.safetensors", "wan", "default" ], "color": "#223", "bgcolor": "#335" }, { "id": 64, "type": "Note", "pos": [ 4710.5927734375, 467.3953857421875 ], "size": [ 224.25787353515625, 88 ], "flags": {}, "order": 5, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "Use lower one for movies and the one to the right for photos" ], "color": "#432", "bgcolor": "#653" }, { "id": 65, "type": "Note", "pos": [ 4424.0283203125, 998.3495483398438 ], "size": [ 279.9563903808594, 233.33839416503906 ], "flags": {}, "order": 6, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "For movies I would suggest to use my other WAN 2.2 workflow, but you can of course use WAN 2.1 movies as well.\n\nLoras trained on WAN 2.1 work really nicely with WAN 2.2\n\nThe difference in images between 2.1 and 2.2 to me is negligible quality-wise (unless you consider prompting, which WAN 2.2 is just better at)\n\nIf you do decide to stick with WAN 2.1 for movies, still check my WAN 2.2 workflow and grab the interpolation node that converts nicely from 16 fps to 32 fps, the difference is noticable!" ], "color": "#432", "bgcolor": "#653" }, { "id": 12, "type": "EmptyHunyuanLatentVideo", "pos": [ 3265.6259765625, 653.9766845703125 ], "size": [ 315, 130 ], "flags": {}, "order": 7, "mode": 0, "inputs": [], "outputs": [ { "name": "LATENT", "type": "LATENT", "slot_index": 0, "links": [ 17 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.36", "Node name for S&R": "EmptyHunyuanLatentVideo", "widget_ue_connectable": {} }, "widgets_values": [ 1120, 1520, 1, 1 ] }, { "id": 15, "type": "SaveImage", "pos": [ 4956.30224609375, 349.67974853515625 ], "size": [ 572.3362426757812, 766.8650512695312 ], "flags": {}, "order": 34, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 22 } ], "outputs": [], "properties": { "cnr_id": "comfy-core", "ver": "0.3.42", "Node name for S&R": "SaveImage", "widget_ue_connectable": {} }, "widgets_values": [ "ComfyUI" ], "color": "#232", "bgcolor": "#353" }, { "id": 39, "type": "VHS_VideoCombine", "pos": [ 4725.357421875, 631.0454711914062 ], "size": [ 215.5500030517578, 613.3892822265625 ], "flags": {}, "order": 35, "mode": 4, "inputs": [ { "name": "images", "type": "IMAGE", "link": 33 }, { "name": "audio", "shape": 7, "type": "AUDIO", "link": null }, { "name": "meta_batch", "shape": 7, "type": "VHS_BatchManager", "link": null }, { "name": "vae", "shape": 7, "type": "VAE", "link": null } ], "outputs": [ { "name": "Filenames", "type": "VHS_FILENAMES", "links": null } ], "properties": { "cnr_id": "comfyui-videohelpersuite", "ver": "78753dbbdb6c213e78ad0b5db4e73745a30b0bdc", "Node name for S&R": "VHS_VideoCombine", "widget_ue_connectable": {} }, "widgets_values": { "frame_rate": 24, "loop_count": 0, "filename_prefix": "WAN/i2v/%date:yyyy_MM_dd%/WANi2v_", "format": "video/h264-mp4", "pix_fmt": "yuv420p", "crf": 19, "save_metadata": true, "trim_to_audio": false, "pingpong": true, "save_output": true, "videopreview": { "hidden": false, "paused": false, "params": { "filename": "WANi2v__00002.mp4", "subfolder": "WAN\\i2v\\2025_09_21", "type": "output", "format": "video/h264-mp4", "frame_rate": 24, "workflow": "WANi2v__00002.png", "fullpath": "C:\\Development\\ComfyUI\\output\\WAN\\i2v\\2025_09_21\\WANi2v__00002.mp4" } } } }, { "id": 66, "type": "Note", "pos": [ 3681.533447265625, 762.1377563476562 ], "size": [ 266.8374328613281, 88.8887710571289 ], "flags": {}, "order": 8, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "Since we use the Light lora, we need to stick to CFG 1.\n\nLight lora kills movie fluidity abit but for images it is perfectly fine." ], "color": "#432", "bgcolor": "#653" }, { "id": 58, "type": "Note", "pos": [ 3271.2724609375, 845.243896484375 ], "size": [ 305.67669677734375, 363.6415100097656 ], "flags": {}, "order": 9, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "For images, set length to 1\n\nDisable the Video Combine node\n\n\n---\n\n\nFor videos, set length to your desired value (I test with short clips of 13-17 but the final ones have 81-85, the longest I was able to generate was 135 frames but your results may vary)\n\nDisable the Save Image node (unless you want all the frames saved)\n\n---\n\nBe sure to change your resolution accordingly, the longer the video is - the more memorey it needs.\n\n---\n\nIn general single frame can have high resolution (higher than Flux with the same memory limits), but as soon as you generate a movie - you gonna have to know your limits :)" ], "color": "#432", "bgcolor": "#653" }, { "id": 11, "type": "CLIPTextEncode", "pos": [ 2779.106201171875, 353.3278503417969 ], "size": [ 687.8348388671875, 138.72406005859375 ], "flags": { "collapsed": false }, "order": 26, "mode": 0, "inputs": [ { "name": "clip", "type": "CLIP", "link": 52 } ], "outputs": [ { "name": "CONDITIONING", "type": "CONDITIONING", "slot_index": 0, "links": [ 2, 16 ] } ], "title": "CLIP Text Encode (Negative Prompt)", "properties": { "cnr_id": "comfy-core", "ver": "0.3.36", "Node name for S&R": "CLIPTextEncode", "widget_ue_connectable": {} }, "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,\npoorly drawn, bad anatomy, bad hands, bad eyes, missing fingers, extra fingers, ugly, deformed, disfigured, blurry, grainy, out of focus, low resolution, amateur, poorly lit, oversaturated, undersaturated, watermark, signature, text, writing, noise, artifacts" ], "color": "#322", "bgcolor": "#533" }, { "id": 59, "type": "Note", "pos": [ 4054.615234375, 147.07830810546875 ], "size": [ 304.9574890136719, 153.62107849121094 ], "flags": {}, "order": 10, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "Some people like the grain filter applied.\n\nIMHO it looks nice for images but not as much for videos :)" ], "color": "#432", "bgcolor": "#653" }, { "id": 3, "type": "FastFilmGrain", "pos": [ 4051.86181640625, 353.290283203125 ], "size": [ 315, 82 ], "flags": { "collapsed": false }, "order": 31, "mode": 4, "inputs": [ { "name": "images", "type": "IMAGE", "link": 5 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 6 ] } ], "properties": { "aux_id": "vrgamegirl19/comfyui-vrgamedevgirl", "ver": "0.1.0", "Node name for S&R": "FastFilmGrain", "cnr_id": "comfyui-aspect-ratio-crop-node", "widget_ue_connectable": {} }, "widgets_values": [ 0.02, 0.25 ] }, { "id": 67, "type": "Note", "pos": [ 3781.50927734375, 212.63211059570312 ], "size": [ 210, 131.32443237304688 ], "flags": {}, "order": 11, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "I usually use here 10 steps, but you can lower it. I believe 8 was the default?\n\nIt is quite fast for me at 10 so I didn't bother to check the quality vs speed sweet spot :)" ], "color": "#432", "bgcolor": "#653" }, { "id": 62, "type": "Power Lora Loader (rgthree)", "pos": [ 2025.8087158203125, -367.31524658203125 ], "size": [ 380.5921630859375, 262 ], "flags": {}, "order": 23, "mode": 0, "inputs": [ { "dir": 3, "name": "model", "type": "MODEL", "link": 101 }, { "dir": 3, "name": "clip", "type": "CLIP", "link": 102 } ], "outputs": [ { "dir": 4, "name": "MODEL", "shape": 3, "type": "MODEL", "links": [ 104 ] }, { "dir": 4, "name": "CLIP", "shape": 3, "type": "CLIP", "links": [ 103 ] } ], "properties": { "cnr_id": "rgthree-comfy", "ver": "dbc5fa5e89b6a8b6a1a1dda787505b690f18026c", "Show Strengths": "Single Strength" }, "widgets_values": [ {}, { "type": "PowerLoraLoaderHeaderWidget" }, { "on": false, "lora": "WAN\\celebs\\wan_aliashawkat_v1.safetensors", "strength": 0.65, "strengthTwo": null }, { "on": false, "lora": "WAN\\celebs\\wan_aliashawkat_v2.safetensors", "strength": 0.65, "strengthTwo": null }, { "on": false, "lora": "WAN\\celebs\\wan_jamieleecurtis_v1.safetensors", "strength": 0.65, "strengthTwo": null }, { "on": false, "lora": "WAN\\celebs\\wan_jamieleecurtis_v2.safetensors", "strength": 0.65, "strengthTwo": null }, { "on": false, "lora": "WAN\\celebs\\wan_jenniferconnelly_v1.safetensors", "strength": 0.65, "strengthTwo": null }, { "on": false, "lora": "WAN\\celebs\\wan_jenniferconnelly_v2.safetensors", "strength": 0.65, "strengthTwo": null }, {}, "" ] }, { "id": 63, "type": "Note", "pos": [ 1940.7828369140625, -730.2522583007812 ], "size": [ 565.2310180664062, 293.9508361816406 ], "flags": {}, "order": 12, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "Existence of v2 (v3, etc) models means:\n\n1) Either I was dissatisfied with previous version and made another one\n\n2) Or I wanted an additional model (different dataset) to be able to use both (or more) at the same time at lower weights.\n\nI made an article about it in the SD1.5 times but the same concept worked fine in Flux and now in WAN -> https://civitai.com/articles/1721/improving-results-by-using-multiple-models-of-the-same-concept-turning-it-to-11\n\nTL;DR is that training the same subject on different datasets and then combining the models will give you better likeness in general (there is a chance you will hit the jackpot in a single lora).\n\nIn SD1.5 and Flux it also helped with consistency, you were getting good results more often. In WAN I feel like if the model is good (or combination of models) then you will always get good results, if the model is bad - you will always get bad results.\n\n---\n\nI didn't list all the pairs that I've already made, just three to show you an example." ], "color": "#432", "bgcolor": "#653" }, { "id": 69, "type": "Note", "pos": [ 2461.056396484375, -355.7059326171875 ], "size": [ 557.1253051757812, 230.1858367919922 ], "flags": {}, "order": 13, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "Strenght of LORAs.\n\nFor WAN2.1 and single lora, I usually go with 1.0 (sometimes some are better at 1.1 but I try to make sure the model works at 1.0)\n\nFor multiple loras. If you use two, then I would start with my default of 0.65 each (Yes, it surpasses the 1.0 that you would have on single lora)\n\nFor three loras, 0.45-0.5 each. For four loras, 0.3-0.35 each.\n\nFor WAN2.2 in my other workflow, use the same strength for LOW. Multiply the value with 1.5 for HIGH \n\nSo, 1 Lora at 1.0 in WAN 2.1 would be HIGH 1.5 and LOW 1.0 in WAN 2.2\n\nTwo loras at 0.65 in WAN 2.1 would be HIGH 0.95 and LOW 1.0" ], "color": "#432", "bgcolor": "#653" }, { "id": 8, "type": "PathchSageAttentionKJ", "pos": [ 1116.8482666015625, -52.99830627441406 ], "size": [ 270, 58 ], "flags": { "collapsed": false }, "order": 20, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 46 } ], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 10 ] } ], "properties": { "cnr_id": "comfyui-kjnodes", "ver": "5dcda71011870278c35d92ff77a677ed2e538f2d", "Node name for S&R": "PathchSageAttentionKJ", "widget_ue_connectable": {} }, "widgets_values": [ "disabled" ], "color": "#233", "bgcolor": "#355" }, { "id": 9, "type": "ModelPatchTorchSettings", "pos": [ 1414.8914794921875, -50.157596588134766 ], "size": [ 270, 58 ], "flags": {}, "order": 21, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 10 } ], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 53 ] } ], "properties": { "cnr_id": "comfyui-kjnodes", "ver": "5dcda71011870278c35d92ff77a677ed2e538f2d", "Node name for S&R": "ModelPatchTorchSettings", "widget_ue_connectable": {} }, "widgets_values": [ true ], "color": "#233", "bgcolor": "#355" }, { "id": 21, "type": "MarkdownNote", "pos": [ 274.88702392578125, 261.4643859863281 ], "size": [ 328.48980712890625, 367.62872314453125 ], "flags": {}, "order": 14, "mode": 0, "inputs": [], "outputs": [], "title": "All links here", "properties": { "widget_ue_connectable": {} }, "widgets_values": [ "Original workflow by https://www.reddit.com/user/yanokusnir/\n\n## Civitai Links:\nWan 2.1 T2V 14b-Q4-K-M GGUF\n🔗 [Download Link](https://civitai.com/models/1757056)\n\nUmt5-xxl-encoder Q5_K_M GGUF\n🔗 [Download Link](https://civitai.com/models/1757056)\n\nWan21 T2V 14B lightx2v LoRA\n🔗 [Download Link](https://civitai.com/models/1757056)\n\nWAN 2.1 VAE\n🔗 [Download Link](https://civitai.com/models/1757056)\n\n---\n\n## Original Links:\n### WAN 2.1 T2V GGUF MODEL\n🔗 [Download Link](https://huggingface.co/city96/Wan2.1-T2V-14B-gguf/tree/main)\n\n---\n\n### WAN 2.1 GGUF TEXT ENCODER\n🔗 [Download Link](https://huggingface.co/city96/umt5-xxl-encoder-gguf/tree/main)\n\n---\n\n### WAN 2.1 VAE \n🔗 [Download Link](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors)\n\n---\n\n### LORA\n🔗 [Download Link](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors)\n\n\n\n\n\n\n\n\n\n\n" ], "color": "#332922", "bgcolor": "#593930" }, { "id": 60, "type": "Note", "pos": [ -124.980224609375, 11.618691444396973 ], "size": [ 350.4245300292969, 123.60292053222656 ], "flags": {}, "order": 15, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "I used those on lower end PC, if you can, go for fp8 but if you are limited then go for your favorite GGUF models" ], "color": "#432", "bgcolor": "#653" }, { "id": 68, "type": "Note", "pos": [ 2396.95654296875, 224.85968017578125 ], "size": [ 325.0796203613281, 124.13199615478516 ], "flags": {}, "order": 16, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "This is the light lora that makes the generation so much faster at the cost of movie coherence (some movies get janky, lose the natural life-like feel).\n\nHaven't seen negative impact on images though.\n\nIf you decide to remove it, remember to up the CFG and steps (and possibly change the sampler)" ], "color": "#432", "bgcolor": "#653" }, { "id": 71, "type": "Note", "pos": [ 1367.0426025390625, 146.44970703125 ], "size": [ 325.0796203613281, 124.13199615478516 ], "flags": {}, "order": 17, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "This tower represents all the WAN Loras I have made till 21.09.2025\n\nNaturally, you want to enable only one at a time :)" ], "color": "#432", "bgcolor": "#653" }, { "id": 61, "type": "Note", "pos": [ 277.59832763671875, -755.3539428710938 ], "size": [ 683.9207763671875, 640.7006225585938 ], "flags": {}, "order": 18, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "Hello!\n\nThis is malcolmrey and this is WAN 2.1 workflow that I use with my models :-)\n\nThis is v1.0.0 of this workflow, the date is 21.09.2025\n\n---\n\nYou can find me on:\n\nCivitai:\nhttps://civitai.com/user/malcolmrey\n\nSome of my older models are still there (like perfect eyes and styles) but nowadays it is mainly for the articles - how to train and use models.\n\n--\n\nReddit:\nhttps://reddit.com/r/malcolmrey\n\nHere I share some various news concerning my models, etc.\n\n--\n\nHuggingFace\nhttps://huggingface.co/malcolmrey\n\nHere I share most of my Loras nowadays.\n\n--\n\nBuyMeACoffee\nhttps://buymeacoffee.com/malcolmrey\n\nHere is where you can support me, make some requests and also get access to the MEGA folder with all my loras.\n(I keep all my loras public, but it is better to be safe than sorry, so having a mirror is always nice)\n\n-----\n\nCredits for the original workflow go to: https://www.reddit.com/user/yanokusnir/\nI did not create it, I merely adapted it :)" ], "color": "#432", "bgcolor": "#653" }, { "id": 70, "type": "Note", "pos": [ 1125.6534423828125, -195.59426879882812 ], "size": [ 562.4010620117188, 88 ], "flags": {}, "order": 19, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "I actually left it from the original workflow untouched and forgotten about it" ], "color": "#432", "bgcolor": "#653" }, { "id": 45, "type": "LoraLoader", "pos": [ 2381.8076171875, 36.85185623168945 ], "size": [ 352.23046875, 126 ], "flags": {}, "order": 24, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 104 }, { "name": "clip", "type": "CLIP", "link": 103 } ], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 50 ] }, { "name": "CLIP", "type": "CLIP", "links": [ 51, 52 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.3.55", "Node name for S&R": "LoraLoader" }, "widgets_values": [ "WAN\\Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors", 1, 1 ] }, { "id": 1, "type": "WanVideoNAG", "pos": [ 3549.5146484375, 56.54566955566406 ], "size": [ 315, 126 ], "flags": { "collapsed": true }, "order": 27, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 50 }, { "name": "conditioning", "type": "CONDITIONING", "link": 2 } ], "outputs": [ { "name": "model", "type": "MODEL", "links": [ 19 ] } ], "properties": { "cnr_id": "comfyui-kjnodes", "ver": "f7eb33abc80a2aded1b46dff0dd14d07856a7d50", "Node name for S&R": "WanVideoNAG", "widget_ue_connectable": {} }, "widgets_values": [ 11, 0.25, 2.5, "default" ], "color": "#2a363b", "bgcolor": "#3f5159" }, { "id": 20, "type": "ModelSamplingSD3", "pos": [ 3727.998779296875, 55.84633255004883 ], "size": [ 210, 58 ], "flags": { "collapsed": true }, "order": 28, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 19 } ], "outputs": [ { "name": "MODEL", "type": "MODEL", "slot_index": 0, "links": [ 14 ] } ], "title": "Shift", "properties": { "cnr_id": "comfy-core", "ver": "0.3.36", "Node name for S&R": "ModelSamplingSD3", "widget_ue_connectable": {} }, "widgets_values": [ 1.0000000000000002 ] }, { "id": 47, "type": "Power Lora Loader (rgthree)", "pos": [ 1720.103271484375, 46.27344512939453 ], "size": [ 408.0398864746094, 3334 ], "flags": {}, "order": 22, "mode": 0, "inputs": [ { "dir": 3, "name": "model", "type": "MODEL", "link": 53 }, { "dir": 3, "name": "clip", "type": "CLIP", "link": 55 } ], "outputs": [ { "dir": 4, "name": "MODEL", "shape": 3, "type": "MODEL", "links": [ 101 ] }, { "dir": 4, "name": "CLIP", "shape": 3, "type": "CLIP", "links": [ 102 ] } ], "properties": { "cnr_id": "rgthree-comfy", "ver": "1.0.2508241658", "Show Strengths": "Single Strength" }, "widgets_values": [ {}, { 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