stablediffusiontutorials/Qwen_Image_Workflows
4354
1{2 "id": "91f6bbe2-ed41-4fd6-bac7-71d5b5864ecb",3 "revision": 0,4 "last_node_id": 107,5 "last_link_id": 185,6 "nodes": [7 {8 "id": 71,9 "type": "LoadImage",10 "pos": [11 -70,12 63513 ],14 "size": [15 274.080078125,16 314.0000610351562517 ],18 "flags": {},19 "order": 0,20 "mode": 0,21 "inputs": [],22 "outputs": [23 {24 "name": "IMAGE",25 "type": "IMAGE",26 "links": [27 14028 ]29 },30 {31 "name": "MASK",32 "type": "MASK",33 "links": null34 }35 ],36 "properties": {37 "Node name for S&R": "LoadImage",38 "cnr_id": "comfy-core",39 "ver": "0.3.51"40 },41 "widgets_values": [42 "Zoomable image (3).jpg",43 "image"44 ]45 },46 {47 "id": 7,48 "type": "CLIPTextEncode",49 "pos": [50 300,51 38052 ],53 "size": [54 460,55 14056 ],57 "flags": {},58 "order": 14,59 "mode": 0,60 "inputs": [61 {62 "name": "clip",63 "type": "CLIP",64 "link": 7565 }66 ],67 "outputs": [68 {69 "name": "CONDITIONING",70 "type": "CONDITIONING",71 "slot_index": 0,72 "links": [73 15274 ]75 }76 ],77 "title": "CLIP Text Encode (Negative Prompt)",78 "properties": {79 "Node name for S&R": "CLIPTextEncode",80 "cnr_id": "comfy-core",81 "ver": "0.3.51"82 },83 "widgets_values": [84 " "85 ],86 "color": "#223",87 "bgcolor": "#335"88 },89 {90 "id": 38,91 "type": "CLIPLoader",92 "pos": [93 -120,94 13095 ],96 "size": [97 380,98 10699 ],100 "flags": {},101 "order": 1,102 "mode": 0,103 "inputs": [],104 "outputs": [105 {106 "name": "CLIP",107 "type": "CLIP",108 "slot_index": 0,109 "links": [110 74,111 75112 ]113 }114 ],115 "properties": {116 "Node name for S&R": "CLIPLoader",117 "cnr_id": "comfy-core",118 "ver": "0.3.51",119 "models": [120 {121 "name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",122 "url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors",123 "directory": "text_encoders"124 }125 ]126 },127 "widgets_values": [128 "qwen_2.5_vl_7b_fp8_scaled.safetensors",129 "qwen_image",130 "default"131 ]132 },133 {134 "id": 39,135 "type": "VAELoader",136 "pos": [137 -120,138 290139 ],140 "size": [141 380,142 58143 ],144 "flags": {},145 "order": 2,146 "mode": 0,147 "inputs": [],148 "outputs": [149 {150 "name": "VAE",151 "type": "VAE",152 "slot_index": 0,153 "links": [154 76,155 144,156 153157 ]158 }159 ],160 "properties": {161 "Node name for S&R": "VAELoader",162 "cnr_id": "comfy-core",163 "ver": "0.3.51",164 "models": [165 {166 "name": "qwen_image_vae.safetensors",167 "url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors",168 "directory": "vae"169 }170 ]171 },172 "widgets_values": [173 "qwen_image_vae.safetensors"174 ]175 },176 {177 "id": 84,178 "type": "ControlNetLoader",179 "pos": [180 -120,181 400182 ],183 "size": [184 380,185 58186 ],187 "flags": {},188 "order": 3,189 "mode": 0,190 "inputs": [],191 "outputs": [192 {193 "name": "CONTROL_NET",194 "type": "CONTROL_NET",195 "links": [196 150197 ]198 }199 ],200 "properties": {201 "Node name for S&R": "ControlNetLoader",202 "cnr_id": "comfy-core",203 "ver": "0.3.51",204 "models": [205 {206 "name": "Qwen-Image-InstantX-ControlNet-Union.safetensors",207 "url": "https://huggingface.co/Comfy-Org/Qwen-Image-InstantX-ControlNets/resolve/main/split_files/controlnet/Qwen-Image-InstantX-ControlNet-Union.safetensors",208 "directory": "controlnet"209 }210 ]211 },212 "widgets_values": [213 "Qwen-Image-InstantX-ControlNet-Union.safetensors"214 ]215 },216 {217 "id": 37,218 "type": "UNETLoader",219 "pos": [220 -120,221 0222 ],223 "size": [224 380,225 82226 ],227 "flags": {},228 "order": 4,229 "mode": 0,230 "inputs": [],231 "outputs": [232 {233 "name": "MODEL",234 "type": "MODEL",235 "slot_index": 0,236 "links": [237 145238 ]239 }240 ],241 "properties": {242 "Node name for S&R": "UNETLoader",243 "cnr_id": "comfy-core",244 "ver": "0.3.51",245 "models": [246 {247 "name": "qwen_image_fp8_e4m3fn.safetensors",248 "url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors",249 "directory": "diffusion_models"250 }251 ]252 },253 "widgets_values": [254 "qwen_image_fp8_e4m3fn.safetensors",255 "default"256 ]257 },258 {259 "id": 66,260 "type": "ModelSamplingAuraFlow",261 "pos": [262 800,263 10264 ],265 "size": [266 310,267 58268 ],269 "flags": {},270 "order": 18,271 "mode": 0,272 "inputs": [273 {274 "name": "model",275 "type": "MODEL",276 "link": 149277 }278 ],279 "outputs": [280 {281 "name": "MODEL",282 "type": "MODEL",283 "links": [284 156285 ]286 }287 ],288 "properties": {289 "Node name for S&R": "ModelSamplingAuraFlow",290 "cnr_id": "comfy-core",291 "ver": "0.3.51"292 },293 "widgets_values": [294 3.1000000000000005295 ]296 },297 {298 "id": 8,299 "type": "VAEDecode",300 "pos": [301 1150,302 480303 ],304 "size": [305 310,306 46307 ],308 "flags": {},309 "order": 22,310 "mode": 0,311 "inputs": [312 {313 "name": "samples",314 "type": "LATENT",315 "link": 128316 },317 {318 "name": "vae",319 "type": "VAE",320 "link": 76321 }322 ],323 "outputs": [324 {325 "name": "IMAGE",326 "type": "IMAGE",327 "slot_index": 0,328 "links": [329 110330 ]331 }332 ],333 "properties": {334 "Node name for S&R": "VAEDecode",335 "cnr_id": "comfy-core",336 "ver": "0.3.51"337 },338 "widgets_values": []339 },340 {341 "id": 68,342 "type": "Note",343 "pos": [344 810,345 -140346 ],347 "size": [348 310,349 90350 ],351 "flags": {},352 "order": 5,353 "mode": 0,354 "inputs": [],355 "outputs": [],356 "properties": {},357 "widgets_values": [358 "Increase the shift if you get too many blury/dark/bad images. Decrease if you want to try increasing detail."359 ],360 "color": "#432",361 "bgcolor": "#653"362 },363 {364 "id": 86,365 "type": "Note",366 "pos": [367 1150,368 580369 ],370 "size": [371 307.4002380371094,372 127.38092803955078373 ],374 "flags": {},375 "order": 6,376 "mode": 0,377 "inputs": [],378 "outputs": [],379 "properties": {},380 "widgets_values": [381 "Set cfg to 1.0 for a speed boost at the cost of consistency. Samplers like res_multistep work pretty well at cfg 1.0\n\nThe official number of steps is 50 but I think that's too much. Even just 10 steps seems to work."382 ],383 "color": "#432",384 "bgcolor": "#653"385 },386 {387 "id": 79,388 "type": "MarkdownNote",389 "pos": [390 1160,391 770392 ],393 "size": [394 310,395 140396 ],397 "flags": {},398 "order": 7,399 "mode": 0,400 "inputs": [],401 "outputs": [],402 "title": "KSampler settings",403 "properties": {},404 "widgets_values": [405 "You can test and find the best setting by yourself. The following table is for reference.\n\n| model | steps | cfg |\n|---------------------|---------------|---------------|\n| fp8_e4m3fn | 20 | 2.5 |\n| fp8_e4m3fn + 4 Steps lightning LoRA | 4 | 1.0 |\n"406 ],407 "color": "#432",408 "bgcolor": "#653"409 },410 {411 "id": 75,412 "type": "ImageScaleToTotalPixels",413 "pos": [414 -60,415 995416 ],417 "size": [418 270,419 82420 ],421 "flags": {},422 "order": 12,423 "mode": 0,424 "inputs": [425 {426 "name": "image",427 "type": "IMAGE",428 "link": 140429 }430 ],431 "outputs": [432 {433 "name": "IMAGE",434 "type": "IMAGE",435 "links": [436 143,437 183438 ]439 }440 ],441 "properties": {442 "Node name for S&R": "ImageScaleToTotalPixels",443 "cnr_id": "comfy-core",444 "ver": "0.3.51"445 },446 "widgets_values": [447 "area",448 1.68449 ]450 },451 {452 "id": 107,453 "type": "MarkdownNote",454 "pos": [455 320,456 840457 ],458 "size": [459 410,460 110461 ],462 "flags": {},463 "order": 8,464 "mode": 0,465 "inputs": [],466 "outputs": [],467 "title": "About Lotus Depth",468 "properties": {},469 "widgets_values": [470 "\"It's a subgraph. Double-click on the node or click the icon on the top-left to learn how it works.\n\nYou can use any SD1.5 VAE.\n\nOr you can use the canny node if you want to use the canny control.\n"471 ],472 "color": "#432",473 "bgcolor": "#653"474 },475 {476 "id": 72,477 "type": "Canny",478 "pos": [479 320,480 1000481 ],482 "size": [483 240,484 90485 ],486 "flags": {},487 "order": 9,488 "mode": 4,489 "inputs": [490 {491 "name": "image",492 "type": "IMAGE",493 "link": null494 }495 ],496 "outputs": [497 {498 "name": "IMAGE",499 "type": "IMAGE",500 "links": []501 }502 ],503 "properties": {504 "Node name for S&R": "Canny",505 "cnr_id": "comfy-core",506 "ver": "0.3.51"507 },508 "widgets_values": [509 0.1,510 0.2511 ]512 },513 {514 "id": 85,515 "type": "ControlNetApplyAdvanced",516 "pos": [517 820,518 620519 ],520 "size": [521 220,522 186523 ],524 "flags": {},525 "order": 20,526 "mode": 0,527 "inputs": [528 {529 "name": "positive",530 "type": "CONDITIONING",531 "link": 151532 },533 {534 "name": "negative",535 "type": "CONDITIONING",536 "link": 152537 },538 {539 "name": "control_net",540 "type": "CONTROL_NET",541 "link": 150542 },543 {544 "name": "image",545 "type": "IMAGE",546 "link": 185547 },548 {549 "name": "vae",550 "shape": 7,551 "type": "VAE",552 "link": 153553 }554 ],555 "outputs": [556 {557 "name": "positive",558 "type": "CONDITIONING",559 "links": [560 154561 ]562 },563 {564 "name": "negative",565 "type": "CONDITIONING",566 "links": [567 155568 ]569 }570 ],571 "properties": {572 "Node name for S&R": "ControlNetApplyAdvanced",573 "cnr_id": "comfy-core",574 "ver": "0.3.51"575 },576 "widgets_values": [577 1,578 0,579 1580 ]581 },582 {583 "id": 106,584 "type": "ef3b4b73-ce32-4a60-a60e-d7f278bf6b14",585 "pos": [586 320,587 640588 ],589 "size": [590 400,591 150592 ],593 "flags": {},594 "order": 17,595 "mode": 0,596 "inputs": [597 {598 "name": "pixels",599 "type": "IMAGE",600 "link": 183601 }602 ],603 "outputs": [604 {605 "name": "IMAGE",606 "type": "IMAGE",607 "links": [608 184,609 185610 ]611 }612 ],613 "properties": {614 "cnr_id": "comfy-core",615 "ver": "0.3.51"616 },617 "widgets_values": [618 "vae-ft-mse-840000-ema-pruned.safetensors",619 "lotus-depth-d-v1-1.safetensors",620 10000,621 "euler"622 ]623 },624 {625 "id": 76,626 "type": "VAEEncode",627 "pos": [628 880,629 290630 ],631 "size": [632 140,633 46634 ],635 "flags": {636 "collapsed": false637 },638 "order": 16,639 "mode": 0,640 "inputs": [641 {642 "name": "pixels",643 "type": "IMAGE",644 "link": 143645 },646 {647 "name": "vae",648 "type": "VAE",649 "link": 144650 }651 ],652 "outputs": [653 {654 "name": "LATENT",655 "type": "LATENT",656 "links": [657 142658 ]659 }660 ],661 "properties": {662 "Node name for S&R": "VAEEncode",663 "cnr_id": "comfy-core",664 "ver": "0.3.51"665 },666 "widgets_values": []667 },668 {669 "id": 73,670 "type": "PreviewImage",671 "pos": [672 820,673 850674 ],675 "size": [676 230,677 258678 ],679 "flags": {},680 "order": 19,681 "mode": 0,682 "inputs": [683 {684 "name": "images",685 "type": "IMAGE",686 "link": 184687 }688 ],689 "outputs": [],690 "properties": {691 "Node name for S&R": "PreviewImage",692 "cnr_id": "comfy-core",693 "ver": "0.3.51"694 },695 "widgets_values": []696 },697 {698 "id": 80,699 "type": "LoraLoaderModelOnly",700 "pos": [701 320,702 -10703 ],704 "size": [705 430,706 82707 ],708 "flags": {},709 "order": 15,710 "mode": 4,711 "inputs": [712 {713 "name": "model",714 "type": "MODEL",715 "link": 145716 }717 ],718 "outputs": [719 {720 "name": "MODEL",721 "type": "MODEL",722 "links": [723 149724 ]725 }726 ],727 "properties": {728 "Node name for S&R": "LoraLoaderModelOnly",729 "cnr_id": "comfy-core",730 "ver": "0.3.51",731 "models": [732 {733 "name": "Qwen-Image-Lightning-4steps-V1.0.safetensors",734 "url": "https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors",735 "directory": "loras"736 }737 ]738 },739 "widgets_values": [740 "Qwen-Image-Lightning-4steps-V1.0.safetensors",741 1742 ]743 },744 {745 "id": 3,746 "type": "KSampler",747 "pos": [748 1150,749 0750 ],751 "size": [752 310,753 430754 ],755 "flags": {},756 "order": 21,757 "mode": 0,758 "inputs": [759 {760 "name": "model",761 "type": "MODEL",762 "link": 156763 },764 {765 "name": "positive",766 "type": "CONDITIONING",767 "link": 154768 },769 {770 "name": "negative",771 "type": "CONDITIONING",772 "link": 155773 },774 {775 "name": "latent_image",776 "type": "LATENT",777 "link": 142778 }779 ],780 "outputs": [781 {782 "name": "LATENT",783 "type": "LATENT",784 "slot_index": 0,785 "links": [786 128787 ]788 }789 ],790 "properties": {791 "Node name for S&R": "KSampler",792 "cnr_id": "comfy-core",793 "ver": "0.3.51"794 },795 "widgets_values": [796 452179129219851,797 "randomize",798 20,799 2.5,800 "euler",801 "simple",802 1803 ]804 },805 {806 "id": 60,807 "type": "SaveImage",808 "pos": [809 1510,810 0811 ],812 "size": [813 970,814 1030815 ],816 "flags": {},817 "order": 23,818 "mode": 0,819 "inputs": [820 {821 "name": "images",822 "type": "IMAGE",823 "link": 110824 }825 ],826 "outputs": [],827 "properties": {828 "cnr_id": "comfy-core",829 "ver": "0.3.51"830 },831 "widgets_values": [832 "ComfyUI"833 ]834 },835 {836 "id": 78,837 "type": "MarkdownNote",838 "pos": [839 -690,840 -50841 ],842 "size": [843 540,844 630845 ],846 "flags": {},847 "order": 10,848 "mode": 0,849 "inputs": [],850 "outputs": [],851 "title": "Model links",852 "properties": {853 "widget_ue_connectable": {}854 },855 "widgets_values": [856 "[Tutorial](https://docs.comfy.org/tutorials/image/qwen/qwen-image) | [ๆ็จ](https://docs.comfy.org/zh-CN/tutorials/image/qwen/qwen-image)\n\n\n## Model links\n\nYou can find all the models on [Huggingface](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/tree/main) or [Modelscope](https://modelscope.cn/models/Comfy-Org/Qwen-Image_ComfyUI/files)\n\n**Diffusion model**\n\n- [qwen_image_fp8_e4m3fn.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors)\n\n**ControlNet**\n\n- [Qwen-Image-InstantX-ControlNet-Union.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-InstantX-ControlNets/resolve/main/split_files/controlnet/Qwen-Image-InstantX-ControlNet-Union.safetensors)\n\n\n**LoRA**\n\n- [Qwen-Image-Lightning-4steps-V1.0.safetensors](https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors)\n\n**Text encoder**\n\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n\n**VAE**\n\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors)\n\n\nModel Storage Location\n\n```\n๐ ComfyUI/\nโโโ ๐ models/\nโ โโโ ๐ diffusion_models/\nโ โ โโโ qwen_image_fp8_e4m3fn.safetensors\nโ โ โโโ qwen_image_distill_full_fp8_e4m3fn.safetensors\nโ โโโ ๐ loras/\nโ โ โโโ Qwen-Image-Lightning-8steps-V1.0.safetensors\nโ โโโ ๐ controlnet/ \nโ โ โโโ Qwen-Image-InstantX-ControlNet-Union.safetensors\nโ โโโ ๐ vae/\nโ โ โโโ qwen_image_vae.safetensors\nโ โโโ ๐ text_encoders/\nโ โโโ qwen_2.5_vl_7b_fp8_scaled.safetensors\n```\n"857 ],858 "color": "#432",859 "bgcolor": "#653"860 },861 {862 "id": 105,863 "type": "MarkdownNote",864 "pos": [865 -680,866 630867 ],868 "size": [869 530,870 250871 ],872 "flags": {},873 "order": 11,874 "mode": 0,875 "inputs": [],876 "outputs": [],877 "title": "Lotus Depth",878 "properties": {},879 "widgets_values": [880 "**Diffusion Model**\n\nDownload [lotus-depth-d-v1-1.safetensors](https://huggingface.co/Comfy-Org/lotus/resolve/main/lotus-depth-d-v1-1.safetensors) \n and place it in **ComfyUI/models/diffusion_models**\n\n**VAE Model**\n\nDownload [vae-ft-mse-840000-ema-pruned.safetensors](https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors) and place it in **ComfyUI/models/vae** or you can use any SD1.5 VAE if you prefer.\n\n\n```\nComfyUI/\nโโโ models/\nโ โโโ diffusion_models/\nโ โ โโโโ lotus-depth-d-v1-1.safetensors\nโ โโโ vae/\nโ โโโ lvae-ft-mse-840000-ema-pruned.safetensors\n```\n\n"881 ],882 "color": "#432",883 "bgcolor": "#653"884 },885 {886 "id": 6,887 "type": "CLIPTextEncode",888 "pos": [889 300,890 170891 ],892 "size": [893 460,894 164.31304931640625895 ],896 "flags": {},897 "order": 13,898 "mode": 0,899 "inputs": [900 {901 "name": "clip",902 "type": "CLIP",903 "link": 74904 }905 ],906 "outputs": [907 {908 "name": "CONDITIONING",909 "type": "CONDITIONING",910 "slot_index": 0,911 "links": [912 151913 ]914 }915 ],916 "title": "CLIP Text Encode (Positive Prompt)",917 "properties": {918 "Node name for S&R": "CLIPTextEncode",919 "cnr_id": "comfy-core",920 "ver": "0.3.51"921 },922 "widgets_values": [923 "Post-apocalyptic style clothing, long wavy hair, rough texture, exotic woman, tattered coarse-woven linen fabric, wearing a hood, mechanical aesthetics, mainly in dark gray tones, low-saturation earthy yellow, sense of impact and rebellion, doomsday aesthetics, grotesque aesthetics, works of art, backlighting, film photography, professional photography works, clear visible face, emotional and atmospheric dynamic photography, Fujichrome color positive film, shot with a 17mm Hasselblad ultra-wide-angle lens, f/1.2 large aperture, side backlighting, artistic light, hair light, Rembrandt light, 8K high-definition image quality, delicate real human skin texture."924 ],925 "color": "#232",926 "bgcolor": "#353"927 }928 ],929 "links": [930 [931 74,932 38,933 0,934 6,935 0,936 "CLIP"937 ],938 [939 75,940 38,941 0,942 7,943 0,944 "CLIP"945 ],946 [947 76,948 39,949 0,950 8,951 1,952 "VAE"953 ],954 [955 110,956 8,957 0,958 60,959 0,960 "IMAGE"961 ],962 [963 128,964 3,965 0,966 8,967 0,968 "LATENT"969 ],970 [971 140,972 71,973 0,974 75,975 0,976 "IMAGE"977 ],978 [979 142,980 76,981 0,982 3,983 3,984 "LATENT"985 ],986 [987 143,988 75,989 0,990 76,991 0,992 "IMAGE"993 ],994 [995 144,996 39,997 0,998 76,999 1,1000 "VAE"1001 ],1002 [1003 145,1004 37,1005 0,1006 80,1007 0,1008 "MODEL"1009 ],1010 [1011 149,1012 80,1013 0,1014 66,1015 0,1016 "MODEL"1017 ],1018 [1019 150,1020 84,1021 0,1022 85,1023 2,1024 "CONTROL_NET"1025 ],1026 [1027 151,1028 6,1029 0,1030 85,1031 0,1032 "CONDITIONING"1033 ],1034 [1035 152,1036 7,1037 0,1038 85,1039 1,1040 "CONDITIONING"1041 ],1042 [1043 153,1044 39,1045 0,1046 85,1047 4,1048 "VAE"1049 ],1050 [1051 154,1052 85,1053 0,1054 3,1055 1,1056 "CONDITIONING"1057 ],1058 [1059 155,1060 85,1061 1,1062 3,1063 2,1064 "CONDITIONING"1065 ],1066 [1067 156,1068 66,1069 0,1070 3,1071 0,1072 "MODEL"1073 ],1074 [1075 183,1076 75,1077 0,1078 106,1079 0,1080 "IMAGE"1081 ],1082 [1083 184,1084 106,1085 0,1086 73,1087 0,1088 "IMAGE"1089 ],1090 [1091 185,1092 106,1093 0,1094 85,1095 3,1096 "IMAGE"1097 ]1098 ],1099 "groups": [1100 {1101 "id": 1,1102 "title": "Step 1 - Upload models",1103 "bounding": [1104 -130,1105 -80,1106 400,1107 6101108 ],1109 "color": "#3f789e",1110 "font_size": 24,1111 "flags": {}1112 },1113 {1114 "id": 2,1115 "title": "Step 2 - Upload reference image",1116 "bounding": [1117 -130,1118 550,1119 400,1120 5501121 ],1122 "color": "#3f789e",1123 "font_size": 24,1124 "flags": {}1125 },1126 {1127 "id": 3,1128 "title": "Image processing and applying ControlNet",1129 "bounding": [1130 290,1131 550,1132 810,1133 5501134 ],1135 "color": "#3f789e",1136 "font_size": 24,1137 "flags": {}1138 },1139 {1140 "id": 4,1141 "title": "Step 3 - Prompt",1142 "bounding": [1143 290,1144 100,1145 490,1146 4301147 ],1148 "color": "#3f789e",1149 "font_size": 24,1150 "flags": {}1151 },1152 {1153 "id": 5,1154 "title": "4 steps lightning LoRA",1155 "bounding": [1156 290,1157 -80,1158 490,1159 1601160 ],1161 "color": "#3f789e",1162 "font_size": 24,1163 "flags": {}1164 }1165 ],1166 "definitions": {1167 "subgraphs": [1168 {1169 "id": "ef3b4b73-ce32-4a60-a60e-d7f278bf6b14",1170 "version": 1,1171 "state": {1172 "lastGroupId": 6,1173 "lastNodeId": 105,1174 "lastLinkId": 186,1175 "lastRerouteId": 01176 },1177 "revision": 0,1178 "config": {},1179 "name": "Lotus Depth",1180 "inputNode": {1181 "id": -10,1182 "bounding": [1183 -420,1184 1753,1185 120,1186 1401187 ]1188 },1189 "outputNode": {1190 "id": -20,1191 "bounding": [1192 1045.2000122070312,1193 1753,1194 120,1195 601196 ]1197 },1198 "inputs": [1199 {1200 "id": "b946d075-34dd-429b-bbf4-46aa4c693ce1",