- simple-upscale: Added proper node connections, changed ImageScale to ImageScaleBy - ultimate-sd-upscale: Added CLIP text encoders, removed incorrect VAEDecode and UpscaleModelLoader nodes - face-upscale: Simplified to basic upscaling workflow (FaceDetailer requires complex bbox detector setup) All workflows now have proper inputs, outputs, and links arrays.
293 lines
6.6 KiB
JSON
293 lines
6.6 KiB
JSON
{
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"last_node_id": 7,
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"last_link_id": 8,
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"nodes": [
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{
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"id": 1,
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"type": "LoadImage",
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"pos": [50, 100],
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"size": [350, 100],
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"flags": {},
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"order": 0,
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"mode": 0,
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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": [1],
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"slot_index": 0
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},
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{
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"name": "MASK",
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"type": "MASK",
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"links": null,
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"slot_index": 1
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}
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],
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"properties": {
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"Node name for S&R": "LoadImage"
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},
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"widgets_values": ["input_image.png", "image"],
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"title": "API Input Image"
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},
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{
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"id": 2,
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"type": "CheckpointLoaderSimple",
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"pos": [50, 400],
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"size": [350, 100],
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"flags": {},
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"order": 1,
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"mode": 0,
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"outputs": [
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{
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"name": "MODEL",
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"type": "MODEL",
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"links": [2],
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"slot_index": 0
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},
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{
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"name": "CLIP",
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"type": "CLIP",
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"links": [3, 4],
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"slot_index": 1
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},
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{
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"name": "VAE",
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"type": "VAE",
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"links": [5],
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"slot_index": 2
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}
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],
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"properties": {
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"Node name for S&R": "CheckpointLoaderSimple"
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},
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"widgets_values": ["sd_xl_base_1.0.safetensors"],
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"title": "SDXL Checkpoint Loader"
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},
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{
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"id": 3,
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"type": "CLIPTextEncode",
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"pos": [450, 100],
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"size": [400, 200],
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"flags": {},
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"order": 2,
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"mode": 0,
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"inputs": [
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{
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"name": "clip",
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"type": "CLIP",
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"link": 3
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}
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],
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"outputs": [
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{
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"name": "CONDITIONING",
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"type": "CONDITIONING",
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"links": [6],
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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": "CLIPTextEncode"
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},
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"widgets_values": ["high quality, detailed, sharp"],
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"title": "API Positive Prompt"
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},
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{
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"id": 4,
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"type": "CLIPTextEncode",
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"pos": [450, 350],
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"size": [400, 200],
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"flags": {},
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"order": 3,
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"mode": 0,
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"inputs": [
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{
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"name": "clip",
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"type": "CLIP",
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"link": 4
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}
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],
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"outputs": [
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{
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"name": "CONDITIONING",
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"type": "CONDITIONING",
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"links": [7],
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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": "CLIPTextEncode"
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},
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"widgets_values": ["blurry, low quality"],
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"title": "API Negative Prompt"
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},
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{
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"id": 5,
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"type": "UltimateSDUpscale",
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"pos": [900, 100],
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"size": [315, 100],
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"flags": {},
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"order": 4,
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"mode": 0,
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"inputs": [
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{
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"name": "image",
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"type": "IMAGE",
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"link": 1
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},
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{
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"name": "model",
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"type": "MODEL",
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"link": 2
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},
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{
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"name": "positive",
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"type": "CONDITIONING",
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"link": 6
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},
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{
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"name": "negative",
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"type": "CONDITIONING",
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"link": 7
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},
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{
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"name": "vae",
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"type": "VAE",
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"link": 5
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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": [8, 9],
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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": "UltimateSDUpscale"
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},
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"widgets_values": [2, 42, 20, 8.0, "dpmpp_2m", "karras", 0.3, "Linear", 512, 64],
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"title": "Ultimate SD Upscale (2x)"
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},
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{
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"id": 6,
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"type": "PreviewImage",
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"pos": [1270, 100],
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"size": [315, 100],
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"flags": {},
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"order": 5,
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"mode": 0,
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"inputs": [
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{
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"name": "images",
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"type": "IMAGE",
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"link": 8
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}
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],
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"properties": {
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"Node name for S&R": "PreviewImage"
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},
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"title": "Preview Output"
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},
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{
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"id": 7,
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"type": "SaveImage",
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"pos": [1270, 400],
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"size": [315, 100],
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"flags": {},
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"order": 6,
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"mode": 0,
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"inputs": [
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{
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"name": "images",
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"type": "IMAGE",
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"link": 9
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}
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],
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"properties": {
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"Node name for S&R": "SaveImage"
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},
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"widgets_values": ["ultimate_upscale_output"],
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"title": "API Image Output"
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}
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],
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"links": [
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[1, 1, 0, 5, 0, "IMAGE"],
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[2, 2, 0, 5, 1, "MODEL"],
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[3, 2, 1, 3, 0, "CLIP"],
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[4, 2, 1, 4, 0, "CLIP"],
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[5, 2, 2, 5, 4, "VAE"],
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[6, 3, 0, 5, 2, "CONDITIONING"],
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[7, 4, 0, 5, 3, "CONDITIONING"],
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[8, 5, 0, 6, 0, "IMAGE"],
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[9, 5, 0, 7, 0, "IMAGE"]
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],
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"groups": [],
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"config": {},
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"extra": {
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"workflow_info": {
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"name": "Ultimate SD Upscale Production",
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"version": "1.0.0",
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"description": "Professional upscaling with Ultimate SD Upscale. Combines AI upscaling with diffusion refinement for superior detail and quality.",
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"category": "upscaling",
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"tags": ["ultimate-sd-upscale", "upscaling", "enhancement", "production"],
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"requirements": {
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"models": ["stable-diffusion-xl-base-1.0"],
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"custom_nodes": ["ComfyUI_UltimateSDUpscale"],
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"vram_min": "18GB"
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},
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"parameters": {
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"input_image": {
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"node_id": 1,
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"type": "image",
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"required": true
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},
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"positive_prompt": {
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"node_id": 3,
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"widget_index": 0,
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"type": "string",
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"default": "high quality, detailed, sharp",
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"description": "Enhancement prompt"
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},
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"negative_prompt": {
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"node_id": 4,
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"widget_index": 0,
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"type": "string",
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"default": "blurry, low quality",
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"description": "Qualities to avoid"
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},
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"upscale_by": {
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"node_id": 5,
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"widget_index": 0,
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"type": "float",
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"default": 2,
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"min": 0.05,
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"max": 4,
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"description": "Upscale factor"
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},
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"denoise": {
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"node_id": 5,
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"widget_index": 6,
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"type": "float",
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"default": 0.3,
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"description": "Refinement strength"
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},
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"tile_size": {
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"node_id": 5,
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"widget_index": 8,
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"type": "integer",
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"default": 512,
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"description": "Processing tile size"
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}
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},
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"performance": {
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"avg_generation_time": "60-120 seconds (depending on input size)",
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"vram_usage": "~16-20GB"
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}
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}
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},
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"version": 0.4
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}
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