186 lines
4.4 KiB
JSON
186 lines
4.4 KiB
JSON
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{
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"last_node_id": 5,
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"last_link_id": 4,
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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_portrait.png", "image"],
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"title": "API Input Portrait"
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},
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{
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"id": 2,
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"type": "UpscaleModelLoader",
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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": "UPSCALE_MODEL",
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"type": "UPSCALE_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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"properties": {
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"Node name for S&R": "UpscaleModelLoader"
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},
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"widgets_values": ["RealESRGAN_x2.pth"],
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"title": "Face Upscale Model (2x)"
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},
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{
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"id": 3,
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"type": "ImageUpscaleWithModel",
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"pos": [450, 100],
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"size": [315, 100],
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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": "upscale_model",
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"type": "UPSCALE_MODEL",
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"link": 2
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},
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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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"outputs": [
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{
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"name": "IMAGE",
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"type": "IMAGE",
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"links": [3, 4],
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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": "ImageUpscaleWithModel"
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},
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"title": "Upscale Portrait (2x)"
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},
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{
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"id": 4,
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"type": "PreviewImage",
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"pos": [800, 100],
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"size": [315, 100],
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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": "images",
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"type": "IMAGE",
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"link": 3
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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 Enhanced"
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},
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{
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"id": 5,
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"type": "SaveImage",
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"pos": [800, 400],
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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": "images",
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"type": "IMAGE",
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"link": 4
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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": ["face_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, 3, 1, "IMAGE"],
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[2, 2, 0, 3, 0, "UPSCALE_MODEL"],
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[3, 3, 0, 4, 0, "IMAGE"],
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[4, 3, 0, 5, 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": "Face Upscale Production",
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"version": "1.1.0",
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"description": "Portrait-focused upscaling using RealESRGAN x2. Simplified workflow optimized for face enhancement. For advanced face detection with FaceDetailer, additional nodes are required.",
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"category": "upscaling",
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"tags": ["face-upscale", "portrait", "realesrgan", "production"],
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"requirements": {
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"models": ["RealESRGAN"],
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"custom_nodes": [],
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"vram_min": "8GB"
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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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"description": "Portrait image to upscale"
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},
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"model": {
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"node_id": 2,
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"widget_index": 0,
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"type": "string",
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"default": "RealESRGAN_x2.pth",
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"options": ["RealESRGAN_x2.pth", "RealESRGAN_x4.pth"],
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"description": "Upscale model (x2 recommended for portraits)"
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}
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},
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"performance": {
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"avg_generation_time": "5-15 seconds",
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"vram_usage": "~6-8GB"
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},
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"use_cases": [
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"Portrait enhancement",
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"Professional headshots",
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"Face restoration",
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"ID photo upscaling"
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],
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"notes": [
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"This is a simplified version using basic upscaling",
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"For advanced face detection, use FaceDetailer from Impact-Pack",
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"FaceDetailer requires: BBOX detector, SDXL checkpoint, CLIP conditioning",
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"Current version optimized for speed and simplicity"
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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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