Hugging Face's logo

Datasets:
marhensa
/
comfyui-workflow

Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
Tags:
comfyui
template
workflow
Libraries:
Datasets
Dataset card Viewer Files Community
2
marhensa commited on
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d34f515
•
1 Parent(s): 4de9157

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  1. SDXL-tidy-SAIstyle-LoRA-VAE-UpscaleMD-modified-Sytan-SDXL-v1.0-workflow-template.json +3815 -0
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  3. SDXL_tidy-SAIstyle-LoRA-VAE-workflow-template_rev4a.json +1746 -0
  4. SDXL_tidy-SAIstyle-LoRA-VAE-workflow-template_rev4a.png +3 -0
SDXL-tidy-SAIstyle-LoRA-VAE-UpscaleMD-modified-Sytan-SDXL-v1.0-workflow-template.json ADDED
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+ }
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+ "slot_index": 3
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+ {
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+ "name": "text",
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+ "link": 1051,
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+ "widget": {
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+ "name": "text",
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+ "config": [
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+ {
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+ }
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+ ]
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+ },
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+ "slot_index": 4
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+ }
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+ "type": "CONDITIONING",
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+ ],
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+ "shape": 3,
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+ "slot_index": 0
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+ }
2764
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2765
+ "title": "Positive Refiner",
2766
+ "properties": {
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+ "Node name for S&R": "CLIPTextEncodeSDXLRefiner"
2768
+ },
2769
+ "widgets_values": [
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+ 2048,
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+ ],
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+ "color": "#232",
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+ "bgcolor": "#353"
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+ },
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+ }
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+ }
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+ ],
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+ "title": "UMD Scale",
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+ "properties": {},
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+ "widgets_values": [
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+ "color": "#323",
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+ "title": "Target Weight Upscale Latent",
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+ "properties": {},
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+ "color": "#222",
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+ "bgcolor": "#000"
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+ "slot_index": 0
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+ }
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+ ],
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+ "title": "Image Resolution",
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+ "properties": {
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+ "Node name for S&R": "EmptyLatentImage"
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+ },
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+ "widgets_values": [
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+ "title": "2048x Upscale",
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+ "Changing the \"start_at_step\" on the Upscale Mixed Diff\" node will effectively change how \"faithful/fixy\" the upscale is. If you raise the number closer to 30, it will resemble the pixel upscale more, but if you lower it down, it will fix more deformities, at the cost of potentially changing the image fundamentals.\n\nI recommend a range of 15-25, with 15 being the most fixing, and 25 being the least fixing.\n\nI strongly recommend against touching the sampler or the scheduler for the upscale sampler, as it can be very temperamental, and I found a mix that works very well as is\n\nfor different upscale sizes, mess with the downscale node. Sizes listed:\n\n0.375 is 1.5x, 0.5 is 2x, .75 is 3x, 1.0 is 4x "
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+ "title": "Base CFG",
3058
+ "properties": {},
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+ "widgets_values": [
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+ "color": "#233",
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+ "order": 21,
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+ "mode": 0,
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+ "title": "Basic Prompting Guide",
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+ "properties": {
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+ "text": ""
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+ },
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+ "widgets_values": [
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+ "Prompting: For the linguistic prompt, you should try to explain the image you want in a single sentence with proper grammar. For example:\n\nA photograph of a (subject) in a (location) at (time)\n\nthen you use the second text field to strengthen that prompt with a few carefully selected tags that will help, such as:\n\ncinematic, bokeh, photograph, (features about subject)\n\nFull prompt example:\n\nLinguistic: A cinematic photograph of a pretty woman with blonde hair and blue eyes in a park at sunset\n\nSupporting: clouds, nature, bokeh, f1.8, cinematic lighting, entered composition\n\nPhotographic tips\n\n1. Try and use words or entities that tie into realistic imagery, such as National geographic, Vogue, ethnographic, portrait, and similar words\n\n2. Do not use words like \"realism\" or \"realistic\" when prompting for photographs, as they are associated with art styles that depict \"realistic\" things, and such will weight towards traditional or digital art\n\n3. Feel free to use compositional words, such as \"centered subject\" or \"(object) to the side\", this can help a lot for achieving different and interesting results\n\n4. I recommend not going over 6 on the positive aesthetic score for the refiner when going for realism, I find that the higher you go, the more your images are likely to go into the direction of aesthetic paintings and \n\n"
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+ },
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3108
+ "title": "To DISABLE LoRA",
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3110
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3111
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3117
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+ "title": "To ENABLE LoRA",
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+ "properties": {
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+ "text": ""
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+ },
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+ "widgets_values": [
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+ "Connect:\nBASE (left) to model on LoRA 1\nB-CLIP (left) to clip on LoRA 1\n\nat the end of LoRA you use (not always LoRA 3, you can just use one or two LoRA), connect:\nMODEL to left dot BASE (right)\nCLIP to left dot B-CLIP (right)"
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+ "pinned": false
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+ },
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+ "order": 2,
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+ "mode": 0,
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+ "outputs": [
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+ {
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+ "name": "VAE",
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+ "type": "VAE",
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+ "links": [
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+ 68
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+ ],
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+ "shape": 3,
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+ "slot_index": 0
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+ }
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+ ],
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+ "properties": {
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+ "Node name for S&R": "VAELoader"
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+ },
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+ "widgets_values": [
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+ "sdxl_vae.safetensors"
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+ ],
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+ "color": "#233",
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+ "bgcolor": "#355"
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+ },
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+ {
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+ "id": 17,
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+ "type": "VAEDecode",
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+ "size": {
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+ "flags": {
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+ "pinned": true
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+ },
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+ "order": 27,
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+ "mode": 0,
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+ "inputs": [
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+ {
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+ "name": "samples",
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+ "type": "LATENT",
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+ "link": 67
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+ },
316
+ {
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+ "name": "vae",
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+ "type": "VAE",
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+ "link": 68
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+ }
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+ ],
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+ "outputs": [
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+ {
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+ "name": "IMAGE",
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+ "type": "IMAGE",
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+ "links": [
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+ 28
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+ ],
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+ "shape": 3,
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+ "slot_index": 0
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+ }
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+ ],
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+ "properties": {
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+ "Node name for S&R": "VAEDecode"
335
+ },
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+ "color": "#233",
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+ "bgcolor": "#355"
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+ },
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+ {
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+ "id": 5,
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+ "type": "EmptyLatentImage",
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+ "pos": [
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+ 357
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+ ],
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+ "size": {
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+ "flags": {
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+ "pinned": true
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+ },
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+ "order": 3,
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+ "mode": 0,
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+ "outputs": [
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+ {
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+ "name": "LATENT",
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+ "type": "LATENT",
359
+ "links": [
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+ 27
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+ ],
362
+ "slot_index": 0
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+ }
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+ ],
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+ "properties": {
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+ "Node name for S&R": "EmptyLatentImage"
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+ },
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+ "widgets_values": [
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+ 1080,
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+ 1344,
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+ 1
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+ ],
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+ "color": "#222",
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+ "bgcolor": "#000"
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+ },
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+ {
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+ "id": 13,
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+ "type": "PrimitiveNode",
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+ "pos": [
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+ 325,
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+ 499
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+ ],
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+ "size": {
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+ "0": 348.41961669921875,
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+ "1": 250.73471069335938
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+ },
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+ "flags": {
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+ "pinned": true
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+ },
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+ "order": 4,
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+ "mode": 0,
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+ "outputs": [
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+ {
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+ "name": "STRING",
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+ "type": "STRING",
396
+ "links": [
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+ 63
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+ ],
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+ "widget": {
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+ "name": "text_positive",
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+ "config": [
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+ "STRING",
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+ {
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+ "default": "",
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+ "multiline": true
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+ }
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+ ]
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+ },
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+ "slot_index": 0
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+ }
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+ ],
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+ "title": "Positive Prompt (Text)",
413
+ "properties": {},
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+ "widgets_values": [
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+ "cybernetic cat wears futuristic armor, in a battlefield"
416
+ ],
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+ "color": "#232",
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+ "bgcolor": "#353"
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+ },
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+ {
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+ "id": 14,
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+ "type": "PrimitiveNode",
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+ "pos": [
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+ 325,
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+ ],
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+ "size": {
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+ "1": 132.2855987548828
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+ },
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+ "flags": {
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+ },
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+ "order": 5,
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+ "mode": 0,
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+ "outputs": [
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+ {
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+ "name": "STRING",
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+ "type": "STRING",
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+ "links": [
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+ 64
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+ ],
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+ "widget": {
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+ "name": "text_negative",
445
+ "config": [
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+ "STRING",
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+ {
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+ "default": "",
449
+ "multiline": true
450
+ }
451
+ ]
452
+ },
453
+ "slot_index": 0
454
+ }
455
+ ],
456
+ "title": "Negative Prompt (Text)",
457
+ "properties": {},
458
+ "widgets_values": [
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+ "watermark, text, signature, mirror, frame"
460
+ ],
461
+ "color": "#322",
462
+ "bgcolor": "#533"
463
+ },
464
+ {
465
+ "id": 11,
466
+ "type": "KSamplerAdvanced",
467
+ "pos": [
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+ 987,
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+ 340
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+ ],
471
+ "size": {
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+ "0": 300.2822570800781,
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+ "1": 572.7096557617188
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+ },
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+ "flags": {
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+ "pinned": false
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+ },
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+ "order": 26,
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+ "mode": 0,
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+ "inputs": [
481
+ {
482
+ "name": "model",
483
+ "type": "MODEL",
484
+ "link": 14,
485
+ "slot_index": 0
486
+ },
487
+ {
488
+ "name": "positive",
489
+ "type": "CONDITIONING",
490
+ "link": 23
491
+ },
492
+ {
493
+ "name": "negative",
494
+ "type": "CONDITIONING",
495
+ "link": 24
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+ },
497
+ {
498
+ "name": "latent_image",
499
+ "type": "LATENT",
500
+ "link": 13
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+ },
502
+ {
503
+ "name": "steps",
504
+ "type": "INT",
505
+ "link": 38,
506
+ "widget": {
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+ "name": "steps",
508
+ "config": [
509
+ "INT",
510
+ {
511
+ "default": 20,
512
+ "min": 1,
513
+ "max": 10000
514
+ }
515
+ ]
516
+ },
517
+ "slot_index": 4
518
+ },
519
+ {
520
+ "name": "start_at_step",
521
+ "type": "INT",
522
+ "link": 44,
523
+ "widget": {
524
+ "name": "start_at_step",
525
+ "config": [
526
+ "INT",
527
+ {
528
+ "default": 0,
529
+ "min": 0,
530
+ "max": 10000
531
+ }
532
+ ]
533
+ }
534
+ }
535
+ ],
536
+ "outputs": [
537
+ {
538
+ "name": "LATENT",
539
+ "type": "LATENT",
540
+ "links": [
541
+ 67
542
+ ],
543
+ "shape": 3,
544
+ "slot_index": 0
545
+ }
546
+ ],
547
+ "title": "KSampler (Advanced) - REFINER",
548
+ "properties": {
549
+ "Node name for S&R": "KSamplerAdvanced"
550
+ },
551
+ "widgets_values": [
552
+ "disable",
553
+ 0,
554
+ "fixed",
555
+ 25,
556
+ 8,
557
+ "euler",
558
+ "normal",
559
+ 20,
560
+ 10000,
561
+ "disable"
562
+ ],
563
+ "color": "#223",
564
+ "bgcolor": "#335"
565
+ },
566
+ {
567
+ "id": 38,
568
+ "type": "Note",
569
+ "pos": [
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+ 345,
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+ 1287
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+ ],
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+ "size": {
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+ "0": 284.3257141113281,
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+ "1": 123.88604736328125
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+ },
577
+ "flags": {},
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+ "order": 6,
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+ "mode": 0,
580
+ "title": "Note - Text Prompts",
581
+ "properties": {
582
+ "text": ""
583
+ },
584
+ "widgets_values": [
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+ "These nodes are where you include the text for:\n - what you want in the picture (Positive Prompt, Green)\n - or what you don't want in the picture (Negative Prompt, Red)\n\nThis node type is called a \"PrimitiveNode\" if you are searching for the node type."
586
+ ],
587
+ "color": "#323",
588
+ "bgcolor": "#535"
589
+ },
590
+ {
591
+ "id": 43,
592
+ "type": "Note",
593
+ "pos": [
594
+ 348,
595
+ 1159
596
+ ],
597
+ "size": {
598
+ "0": 240,
599
+ "1": 80
600
+ },
601
+ "flags": {},
602
+ "order": 7,
603
+ "mode": 0,
604
+ "title": "Note - CLIP Encode (REFINER)",
605
+ "properties": {
606
+ "text": ""
607
+ },
608
+ "widgets_values": [
609
+ "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Refiner)"
610
+ ],
611
+ "color": "#323",
612
+ "bgcolor": "#535"
613
+ },
614
+ {
615
+ "id": 39,
616
+ "type": "Note",
617
+ "pos": [
618
+ 352,
619
+ 1027
620
+ ],
621
+ "size": {
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+ "0": 238.26402282714844,
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+ "1": 80.99152374267578
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+ },
625
+ "flags": {},
626
+ "order": 8,
627
+ "mode": 0,
628
+ "title": "Note - CLIP Encode (BASE)",
629
+ "properties": {
630
+ "text": ""
631
+ },
632
+ "widgets_values": [
633
+ "These nodes receive the text from the prompt and use the optimal CLIP settings for the specified checkpoint model (in this case: SDXL Base)"
634
+ ],
635
+ "color": "#323",
636
+ "bgcolor": "#535"
637
+ },
638
+ {
639
+ "id": 36,
640
+ "type": "Note",
641
+ "pos": [
642
+ -2,
643
+ 1032
644
+ ],
645
+ "size": {
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+ "0": 315.70074462890625,
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+ "1": 147.9551239013672
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+ },
649
+ "flags": {},
650
+ "order": 9,
651
+ "mode": 0,
652
+ "title": "Note - Load Checkpoint BASE",
653
+ "properties": {
654
+ "text": ""
655
+ },
656
+ "widgets_values": [
657
+ "This is a checkpoint model loader. \n - This is set up automatically with the optimal settings for whatever SD model version you choose to use.\n - In this example, it is for the Base SDXL model\n - This node is also used for SD1.5 and SD2.x models\n \nNOTE: When loading in another person's workflow, be sure to manually choose your own *local* model. This also applies to LoRas and all their deviations"
658
+ ],
659
+ "color": "#323",
660
+ "bgcolor": "#535"
661
+ },
662
+ {
663
+ "id": 37,
664
+ "type": "Note",
665
+ "pos": [
666
+ -4,
667
+ 1222
668
+ ],
669
+ "size": {
670
+ "0": 330,
671
+ "1": 140
672
+ },
673
+ "flags": {},
674
+ "order": 10,
675
+ "mode": 0,
676
+ "title": "Note - Load Checkpoint REFINER",
677
+ "properties": {
678
+ "text": ""
679
+ },
680
+ "widgets_values": [
681
+ "This is a checkpoint model loader. \n - This is set up automatically with the optimal settings for whatever SD model version you choose to use.\n - In this example, it is for the Refiner SDXL model\n\nNOTE: When loading in another person's workflow, be sure to manually choose your own *local* model. This also applies to LoRas and all their deviations."
682
+ ],
683
+ "color": "#323",
684
+ "bgcolor": "#535"
685
+ },
686
+ {
687
+ "id": 42,
688
+ "type": "Note",
689
+ "pos": [
690
+ -2,
691
+ 1408
692
+ ],
693
+ "size": {
694
+ "0": 260,
695
+ "1": 210
696
+ },
697
+ "flags": {},
698
+ "order": 11,
699
+ "mode": 0,
700
+ "title": "Note - Empty Latent Image",
701
+ "properties": {
702
+ "text": ""
703
+ },
704
+ "widgets_values": [
705
+ "This node sets the image's resolution in Width and Height.\n\nNOTE: For SDXL, it is recommended to use trained values listed below:\n - 1024 x 1024\n - 1152 x 896\n - 896 x 1152\n - 1216 x 832\n - 832 x 1216\n - 1344 x 768\n - 768 x 1344\n - 1536 x 640\n - 640 x 1536"
706
+ ],
707
+ "color": "#323",
708
+ "bgcolor": "#535"
709
+ },
710
+ {
711
+ "id": 40,
712
+ "type": "Note",
713
+ "pos": [
714
+ 662,
715
+ 1350
716
+ ],
717
+ "size": {
718
+ "0": 451.5049743652344,
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+ "1": 424.4164123535156
720
+ },
721
+ "flags": {},
722
+ "order": 12,
723
+ "mode": 0,
724
+ "title": "Note - KSampler ADVANCED General Information",
725
+ "properties": {
726
+ "text": ""
727
+ },
728
+ "widgets_values": [
729
+ "Here are the settings that SHOULD stay in place if you want this workflow to work correctly:\n - add_noise: enable = This adds random noise into the picture so the model can denoise it\n\n - return_with_leftover_noise: enable = This sends the latent image data and all it's leftover noise to the next KSampler node.\n\nThe settings to pay attention to:\n - control_after_generate = generates a new random seed after each workflow job completed.\n - steps = This is the amount of iterations you would like to run the positive and negative CLIP prompts through. Each Step will add (positive) or remove (negative) pixels based on what stable diffusion \"thinks\" should be there according to the model's training\n - cfg = This is how much you want SDXL to adhere to the prompt. Lower CFG gives you more creative but often blurrier results. Higher CFG (recommended max 10) gives you stricter results according to the CLIP prompt. If the CFG value is too high, it can also result in \"burn-in\" where the edges of the picture become even stronger, often highlighting details in unnatural ways.\n - sampler_name = This is the sampler type, and unfortunately different samplers and schedulers have better results with fewer steps, while others have better success with higher steps. This will require experimentation on your part!\n - scheduler = The algorithm/method used to choose the timesteps to denoise the picture.\n - start_at_step = This is the step number the KSampler will start out it's process of de-noising the picture or \"removing the random noise to reveal the picture within\". The first KSampler usually starts with Step 0. Starting at step 0 is the same as setting denoise to 1.0 in the regular Sampler node.\n - end_at_step = This is the step number the KSampler will stop it's process of de-noising the picture. If there is any remaining leftover noise and return_with_leftover_noise is enabled, then it will pass on the left over noise to the next KSampler (assuming there is another one)."
730
+ ],
731
+ "color": "#223",
732
+ "bgcolor": "#335"
733
+ },
734
+ {
735
+ "id": 48,
736
+ "type": "Note",
737
+ "pos": [
738
+ 662,
739
+ 1198
740
+ ],
741
+ "size": {
742
+ "0": 213.90769958496094,
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+ "1": 110.17156982421875
744
+ },
745
+ "flags": {},
746
+ "order": 13,
747
+ "mode": 0,
748
+ "title": "Note - Step Control",
749
+ "properties": {
750
+ "text": ""
751
+ },
752
+ "widgets_values": [
753
+ "These can be used to control the total sampling steps and the step at which the sampling switches to the refiner."
754
+ ],
755
+ "color": "#432",
756
+ "bgcolor": "#653"
757
+ },
758
+ {
759
+ "id": 41,
760
+ "type": "Note",
761
+ "pos": [
762
+ 662,
763
+ 1028
764
+ ],
765
+ "size": {
766
+ "0": 320,
767
+ "1": 120
768
+ },
769
+ "flags": {},
770
+ "order": 14,
771
+ "mode": 0,
772
+ "title": "Note - VAE Decoder",
773
+ "properties": {
774
+ "text": ""
775
+ },
776
+ "widgets_values": [
777
+ "This node will take the latent data from the KSampler and, using the VAE, it will decode it into visible data\n\nVAE = Latent --> Visible\n\nThis can then be sent to the Save Image node to be saved as a PNG."
778
+ ],
779
+ "color": "#332922",
780
+ "bgcolor": "#593930"
781
+ },
782
+ {
783
+ "id": 47,
784
+ "type": "PrimitiveNode",
785
+ "pos": [
786
+ 1053,
787
+ 191
788
+ ],
789
+ "size": {
790
+ "0": 210,
791
+ "1": 82
792
+ },
793
+ "flags": {
794
+ "pinned": false,
795
+ "collapsed": false
796
+ },
797
+ "order": 15,
798
+ "mode": 0,
799
+ "outputs": [
800
+ {
801
+ "name": "INT",
802
+ "type": "INT",
803
+ "links": [
804
+ 43,
805
+ 44
806
+ ],
807
+ "widget": {
808
+ "name": "end_at_step",
809
+ "config": [
810
+ "INT",
811
+ {
812
+ "default": 10000,
813
+ "min": 0,
814
+ "max": 10000
815
+ }
816
+ ]
817
+ },
818
+ "slot_index": 0
819
+ }
820
+ ],
821
+ "title": "end_at_step",
822
+ "properties": {},
823
+ "widgets_values": [
824
+ 20,
825
+ "fixed"
826
+ ],
827
+ "color": "#432",
828
+ "bgcolor": "#653"
829
+ },
830
+ {
831
+ "id": 54,
832
+ "type": "LoraLoader",
833
+ "pos": [
834
+ 325,
835
+ 305
836
+ ],
837
+ "size": {
838
+ "0": 344.4132385253906,
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+ "1": 126
840
+ },
841
+ "flags": {
842
+ "pinned": false
843
+ },
844
+ "order": 17,
845
+ "mode": 0,
846
+ "inputs": [
847
+ {
848
+ "name": "model",
849
+ "type": "MODEL",
850
+ "link": 57
851
+ },
852
+ {
853
+ "name": "clip",
854
+ "type": "CLIP",
855
+ "link": 58
856
+ }
857
+ ],
858
+ "outputs": [
859
+ {
860
+ "name": "MODEL",
861
+ "type": "MODEL",
862
+ "links": [
863
+ 61
864
+ ],
865
+ "shape": 3,
866
+ "slot_index": 0
867
+ },
868
+ {
869
+ "name": "CLIP",
870
+ "type": "CLIP",
871
+ "links": [
872
+ 59,
873
+ 60
874
+ ],
875
+ "shape": 3,
876
+ "slot_index": 1
877
+ }
878
+ ],
879
+ "properties": {
880
+ "Node name for S&R": "LoraLoader"
881
+ },
882
+ "widgets_values": [
883
+ "sd_xl_offset_example-lora_1.0.safetensors",
884
+ 1,
885
+ 1
886
+ ],
887
+ "color": "#332922",
888
+ "bgcolor": "#593930"
889
+ },
890
+ {
891
+ "id": 45,
892
+ "type": "PrimitiveNode",
893
+ "pos": [
894
+ 816,
895
+ 191
896
+ ],
897
+ "size": {
898
+ "0": 210,
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+ "1": 82
900
+ },
901
+ "flags": {
902
+ "pinned": false
903
+ },
904
+ "order": 16,
905
+ "mode": 0,
906
+ "outputs": [
907
+ {
908
+ "name": "INT",
909
+ "type": "INT",
910
+ "links": [
911
+ 38,
912
+ 41
913
+ ],
914
+ "widget": {
915
+ "name": "steps",
916
+ "config": [
917
+ "INT",
918
+ {
919
+ "default": 20,
920
+ "min": 1,
921
+ "max": 10000
922
+ }
923
+ ]
924
+ }
925
+ }
926
+ ],
927
+ "title": "steps",
928
+ "properties": {},
929
+ "widgets_values": [
930
+ 25,
931
+ "fixed"
932
+ ],
933
+ "color": "#432",
934
+ "bgcolor": "#653"
935
+ },
936
+ {
937
+ "id": 15,
938
+ "type": "CLIPTextEncode",
939
+ "pos": [
940
+ 325,
941
+ 185
942
+ ],
943
+ "size": {
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+ "0": 239.02825927734375,
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+ "1": 54
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+ },
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+ "flags": {
948
+ "collapsed": false,
949
+ "pinned": false
950
+ },
951
+ "order": 22,
952
+ "mode": 0,
953
+ "inputs": [
954
+ {
955
+ "name": "clip",
956
+ "type": "CLIP",
957
+ "link": 19
958
+ },
959
+ {
960
+ "name": "text",
961
+ "type": "STRING",
962
+ "link": 73,
963
+ "widget": {
964
+ "name": "text",
965
+ "config": [
966
+ "STRING",
967
+ {
968
+ "multiline": true
969
+ }
970
+ ]
971
+ }
972
+ }
973
+ ],
974
+ "outputs": [
975
+ {
976
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