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660,
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"order": 18,
"mode": 0,
"inputs": [
{
"dir": 3,
"name": "source",
"type": "*",
"link": 293
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],
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"title": "Positive prompt",
"properties": {
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"mode": 0,
"inputs": [
{
"dir": 3,
"name": "source",
"type": "*",
"link": 294
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],
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"title": "Negative prompt",
"properties": {
"cnr_id": "rgthree-comfy",
"ver": "f72f39d482c743706482b4d875e3c80dcec2d415",
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"order": 20,
"mode": 0,
"inputs": [
{
"dir": 3,
"name": "source",
"type": "*",
"link": 295
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"title": "Generation Parameters",
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{
"dir": 3,
"name": "source",
"type": "*",
"link": 291
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"outputs": [],
"title": "Skipped report",
"properties": {
"cnr_id": "rgthree-comfy",
"ver": "f72f39d482c743706482b4d875e3c80dcec2d415",
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{
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410
],
"flags": {},
"order": 33,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 299
}
],
"outputs": [],
"title": "Face Image",
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.38",
"Node name for S&R": "PreviewImage",
"enableTabs": false,
"tabWidth": 65,
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"flags": {},
"order": 32,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 298
}
],
"outputs": [],
"title": "Face Image",
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.38",
"Node name for S&R": "PreviewImage",
"enableTabs": false,
"tabWidth": 65,
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{
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138
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"flags": {},
"order": 4,
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"inputs": [
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"type": "IMAGE",
"link": 275
},
{
"name": "mask",
"shape": 7,
"type": "MASK",
"link": null
}
],
"outputs": [
{
"name": "BRISQUE",
"type": "FLOAT",
"links": [
146
]
},
{
"name": "BLUR",
"type": "FLOAT",
"links": [
147
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},
{
"name": "SNR",
"type": "FLOAT",
"links": [
148
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},
{
"name": "COMPRESSION_RATIO",
"type": "FLOAT",
"links": [
149
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},
{
"name": "help",
"type": "STRING",
"links": [
191
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}
],
"properties": {
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"ue_properties": {
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"type": "Display Any (rgthree)",
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450
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"order": 38,
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"inputs": [
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"dir": 3,
"name": "source",
"type": "*",
"link": 304
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],
"outputs": [],
"title": "👑 FRED_CropFace: Read Me",
"properties": {
"cnr_id": "rgthree-comfy",
"ver": "f72f39d482c743706482b4d875e3c80dcec2d415",
"Node name for S&R": "Display Any (rgthree)",
"enableTabs": false,
"tabWidth": 65,
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"secondTabOffset": 80,
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"\n👑 FRED_CropFace\n\n🔹 PURPOSE:\nDetect faces using RetinaFace (via facexlib) and crop one of them with customizable margins.\nUseful for isolating faces while keeping context.\n\n📥 INPUTS:\n- image • input image (IMAGE)\n- confidence • detection confidence threshold (default 0.8)\n- left_margin_factor / right_margin_factor / top_margin_factor / bottom_margin_factor\n • expand bounding box by proportional margins\n- face_id • which detected face to crop (sorted left→right, default 0, -1 for all)\n- max_size • resize image before detection for performance (default 1536)\n- bbox_mode • output bbox format: \"x0y0x1y1\" (default) or \"xywh\"\n\n⚙️ KEY OPTIONS:\n- If no face detected → returns original image and empty bbox\n- Margins are applied relative to detected face size and clamped to image bounds\n- Face detection weights are stored under <models>/facexlib and downloaded on first run\n- Works with either pip-installed facexlib or bundled version\n\n📤 OUTPUTS:\n- face_image • cropped face(s) (IMAGE)\n- preview • original image with detection + margin overlay (IMAGE)\n- bbox • bounding box(es) as list(s)\n- face_pixel_ratio • % of total pixels occupied by the detected face\n- face_w_margin_pixel_ratio • % including applied margins\n"
],
"color": "#222",
"bgcolor": "#000"
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{
"id": 53,
"type": "Display Any (rgthree)",
"pos": [
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-30
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"size": [
660,
540
],
"flags": {},
"order": 21,
"mode": 0,
"inputs": [
{
"dir": 3,
"name": "source",
"type": "*",
"link": 296
}
],
"outputs": [],
"title": "👑 FRED Image Load (avif support): Read Me",
"properties": {
"cnr_id": "rgthree-comfy",
"ver": "f72f39d482c743706482b4d875e3c80dcec2d415",
"Node name for S&R": "Display Any (rgthree)",
"enableTabs": false,
"tabWidth": 65,
"tabXOffset": 10,
"hasSecondTab": false,
"secondTabText": "Send Back",
"secondTabOffset": 80,
"secondTabWidth": 65,
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"\n👑 FRED_LoadImage_V8\n\n🔹 PURPOSE:\nLoad images from disk or direct input with index management, caching, logging and optional preview.\n\n📥 INPUTS:\n- image • input filename or direct image\n- Get_metadata_from_file • will provide the \"Positive\", \"Negative\" and generation data if available\n- mode • \"no_folder\" (direct) or \"image_from_folder\"\n- path • folder path\n- index • image index\n- control after generate\n- stop_at_max_index • create an exception that stop iteration with a message that the max index is reached\n- next_index_if_any_invalid • skip bad images in current folder and keep a log of it\n- include_subdirectories • include subfolders\n- show_image_from_path • preview loaded image\n- clear_cache • clear cached index/logs. This is required before parsing a very high amount of images. It's faster.\n- filename_text_extension • output filename with/without extension\n- source_filename • record frontend image name before it get modified by a manual mask getting the image \n to clipspace and loosing all it metadata.\n\n⚙️ KEY OPTIONS:\n- Very efficient node to parse multiple image in multiple folder/subfolder. \n Tested on a batch of 1 million images without crash and it also skip the broken images and log it for \n reference if you want to delete them.\n- Can show the image behing seen in a folder_mode within this node.\n- Show valuables images and folder infos.\n- Can work in single image mode (no_folder) or image_from_folder\n\n📤 OUTPUTS:\n- IMAGE, MASK, WIDTH, HEIGHT\n- INDEX • current index\n- TOTAL IMAGES QTY IN ALL FOLDER(S)/SUBFOLDER(S)\n- IMAGES QTY IN CURRENT FOLDER\n- FOLDER_PATH / FULL_FOLDER_PATH\n- filename_text • name without extension (optional)\n- skipped_report • list of invalid images\n"
],
"color": "#222",
"bgcolor": "#000"
},
{
"id": 69,
"type": "FRED_AutoCropImage_Native_Ratio",
"pos": [
490,
-30
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"size": [
310,
610
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"flags": {},
"order": 6,
"mode": 0,
"inputs": [
{
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"type": "IMAGE",
"link": 274
},
{
"name": "mask_optional",
"shape": 7,
"type": "MASK",
"link": 278
}
],
"outputs": [
{
"name": "modified_image",
"type": "IMAGE",
"links": [
133,
174
]
},
{
"name": "preview",
"type": "IMAGE",
"links": [
132
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},
{
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135
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},
{
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},
{
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138
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},
{
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"links": [
139
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},
{
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"links": [
140
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},
{
"name": "native_height",
"type": "INT",
"links": [
141
]
},
{
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"type": "STRING",
"links": [
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},
{
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"links": [
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}
],
"properties": {
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true,
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0,
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"color": "#233",
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{
"id": 5,
"type": "PreviewImage",
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810,
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610
],
"flags": {},
"order": 41,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 132
}
],
"outputs": [],
"title": "Crop preview",
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.38",
"Node name for S&R": "PreviewImage",
"enableTabs": false,
"tabWidth": 65,
"tabXOffset": 10,
"hasSecondTab": false,
"secondTabText": "Send Back",
"secondTabOffset": 80,
"secondTabWidth": 65,
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{
"id": 117,
"type": "Display Any (rgthree)",
"pos": [
490,
630
],
"size": [
620,
560
],
"flags": {},
"order": 49,
"mode": 0,
"inputs": [
{
"dir": 3,
"name": "source",
"type": "*",
"link": 189
}
],
"outputs": [],
"title": "👑 FRED AutoCropImage Native Ratio: Read Me",
"properties": {
"cnr_id": "rgthree-comfy",
"ver": "f72f39d482c743706482b4d875e3c80dcec2d415",
"Node name for S&R": "Display Any (rgthree)",
"enableTabs": false,
"tabWidth": 65,
"tabXOffset": 10,
"hasSecondTab": false,
"secondTabText": "Send Back",
"secondTabOffset": 80,
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"\n👑 FRED_AutoCropImage_Native_Ratio\n\n🔹 PURPOSE:\nAutomatically crop and resize images to fit Stable Diffusion standard aspect ratios or custom sizes, while preserving masks if needed.\n\n📥 INPUTS:\n- image • main input image\n- mask_optional • optional mask used to preserve that portion of the image during crop or to precrop from it\n- aspect_ratio • predefined SD ratios, \"Auto_find_resolution\", \"custom\", or \"no_crop_to_ratio\"\n- Precrop_from_input_mask • crop image to mask boundaries before ratio crop\n- mask_preserve • ensures mask area is not cut off for the choosed resolution\n- custom_width / custom_height • manual target dimensions\n- crop_from_center / crop_x_in_Percent / crop_y_in_Percent • crop positioning\n- resize_image / resize_mode_if_upscale / resize_mode_if_downscale • resize modes\n- prescale_factor / include_prescale_if_resize • apply pre-scaling\n- multiple_of • round dimensions to multiple of N\n- preview_mask_color / preview_mask_color_intensity • preview overlay settings\n\n⚙️ KEY OPTIONS:\n- Auto-find: detect closest SDXL ratio\n- Custom: force manual width/height\n- no_crop_to_ratio: skip aspect ratio crop\n- Resize: upscale/downscale modes (bicubic, bilinear, area…)\n- Overlay: preview crop + mask in color\n\n📤 OUTPUTS:\n- modified_image • cropped/resized result\n- preview • preview image with overlay\n- modified_mask • resized and/or cropped mask like the image\n- scale_factor • wanted value to be applyed to the output image. If include scale_factor is true, the scale_factor output will be 1\n- output_width / output_height • final dimensions\n- native_width / native_height • target SD ratio dimensions\n- sd_aspect_ratios • name of matched ratio\n"
],
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{
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"type": "PreviewImage",
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1120,
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610
],
"flags": {},
"order": 39,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 133
}
],
"outputs": [],
"title": "Cropped image",
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.38",
"Node name for S&R": "PreviewImage",
"enableTabs": false,
"tabWidth": 65,
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{
"id": 41,
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280
],
"flags": {},
"order": 42,
"mode": 0,
"inputs": [
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"name": "mask",
"type": "MASK",
"link": 135
}
],
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"title": "Modified Mask",
"properties": {
"cnr_id": "comfyui_essentials",
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"Node name for S&R": "MaskPreview+",
"enableTabs": false,
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"tabXOffset": 10,
"hasSecondTab": false,
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"secondTabOffset": 80,
"secondTabWidth": 65,
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{
"id": 58,
"type": "Display Any (rgthree)",
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1350,
630
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"size": [
210,
88
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"flags": {},
"order": 46,
"mode": 0,
"inputs": [
{
"dir": 3,
"name": "source",
"type": "*",
"link": 140
}
],
"outputs": [],
"title": "Native Width",
"properties": {
"cnr_id": "rgthree-comfy",
"ver": "f72f39d482c743706482b4d875e3c80dcec2d415",
"Node name for S&R": "Display Any (rgthree)",
"enableTabs": false,
"tabWidth": 65,
"tabXOffset": 10,
"hasSecondTab": false,
"secondTabText": "Send Back",
"secondTabOffset": 80,
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{
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],
"flags": {},
"order": 7,
"mode": 0,
"inputs": [
{
"name": "mask",
"type": "MASK",
"link": 279
}
],
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"title": "Original Mask",
"properties": {
"cnr_id": "comfyui_essentials",
"ver": "9d9f4bedfc9f0321c19faf71855e228c93bd0dc9",
"Node name for S&R": "MaskPreview+",
"enableTabs": false,
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"hasSecondTab": false,
"secondTabText": "Send Back",
"secondTabOffset": 80,
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1120,
630
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210,
88
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"flags": {},
"order": 43,
"mode": 0,
"inputs": [
{
"dir": 3,
"name": "source",
"type": "*",
"link": 137
}
],
"outputs": [],
"title": "Scale Factor",
"properties": {
"cnr_id": "rgthree-comfy",
"ver": "f72f39d482c743706482b4d875e3c80dcec2d415",
"Node name for S&R": "Display Any (rgthree)",
"enableTabs": false,
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"secondTabOffset": 80,
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},
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},
{
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2200,
-20
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"size": [
380,
126
],
"flags": {},
"order": 23,
"mode": 0,
"inputs": [
{
"name": "text",
"type": "STRING",
"widget": {
"name": "text"
},
"link": 206
}
],
"outputs": [
{
"name": "XMP_formatted_text",
"type": "STRING",
"links": [
145
]
},
{
"name": "help",
"type": "STRING",
"links": [
273
]
}
],
"properties": {
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"Node name for S&R": "FRED_Text_to_XMP",
"ue_properties": {
"widget_ue_connectable": {
"text": true
},
"version": "7.5.2",
"input_ue_unconnectable": {}
}
},
"widgets_values": [
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false,
false
],
"color": "#232",
"bgcolor": "#353"
},
{
"id": 118,
"type": "Display Any (rgthree)",
"pos": [
1690,
560
],
"size": [
470,
630
],
"flags": {},
"order": 24,
"mode": 0,
"inputs": [
{
"dir": 3,
"name": "source",
"type": "*",
"link": 207
}
],
"outputs": [],
"title": "👑 FRED Wildcard Concat (Dynamic): Read Me",
"properties": {
"cnr_id": "rgthree-comfy",
"ver": "f72f39d482c743706482b4d875e3c80dcec2d415",
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"\n👑 FRED_WildcardConcat_Dynamic\n\n🔹 PURPOSE:\nBuild dynamic prompts by concatenating multiple wildcard blocks together. \nEach block can be toggled, weighted, and combined with prefix/suffix text, making this node \nsimilar to “Power LoRA” mixed with “Creaprompt” but for wildcards.\n\n📥 INPUTS:\n- wildcards_dir • base folder containing wildcard text files\n- string_delimiter • delimiter placed between text parts (default = space)\n- buttons\n • ➕ Add Wildcard → adds a row: toggle, file, weight, line combo, suffix, remove.\n • 🧹 Clear all → romove all added wildcards\n- Toggle all\n- prefix • optional string prepended before all blocks\n- Each block:\n • on/off toggle\n • file (which wildcard file to pick lines from)\n • line (rule for selecting line: random, sequential, fixed, etc.)\n • weight (scaling factor applied to that block)\n • ❌ Remove button\n- suffix • optional string appended after all blocks\n\n⚙️ KEY OPTIONS:\n- Blocks can be added/removed dynamically in the UI.\n- Wildcard files are read from the selected directory.\n- Wildcard are in .txt file and easy to edit.\n- You can use your own list and adding them to the wildcards folder within this custom_nodes folder\n- Each block expands independently; weighted blocks allow fine control.\n- string_delimiter ensures clean spacing (can be customized, default is a space).\n- Output is deterministic or random depending on “line” selection.\n- The random line is added by the code, no need to add it in the .txt file.\n\n📤 OUTPUTS:\n- result_string • final concatenated string (prefix + blocks + suffix)\n- help • this message\n\n📝 Notes:\n- Use consistent wildcard file structure (one entry per line).\n- Weights are included numerically in the string only if block “on” is True.\n- Changing delimiter also affects suffix join.\n- Designed for flexible prompt building with many interchangeable parts.\n"
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"properties": {
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"outputs": [],
"title": "👑 FRED_Text_to_XMP: Read Me",
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"\n👑 FRED_Text_to_XMP\n\n🔹 PURPOSE:\nCreate and attach XMP metadata to your images (or write a sidecar .xmp) from free text or structured fields.\nUseful to archive prompts/parameters/keywords in a standard, app-friendly format (Lightroom, Bridge, Photoshop, digiKam, DAMs).\n\n📥 INPUTS:\n- image • input image to annotate (pass-through if you only want a sidecar)\n- xmp_body • the text to convert into XMP. Accepts:\n • Plain \"key = value\" lines\n • JSON (object) for complex fields\n • Namespaced keys (dc:subject, xmp:Rating, photoshop:AuthorsPosition, exif:UserComment, etc.)\n- include_prompt / include_negative / include_parameters • auto-inject these strings into XMP (if provided upstream)\n- keywords • comma-separated list → stored as dc:subject (Bag)\n- creator / title / description / rights • common Dublin Core/Photoshop fields\n- rating • 0–5 (xmp:Rating)\n- write_mode • \"embed_png\", \"embed_jpeg\", \"embed_tiff\", \"sidecar_only\" (what to write and where)\n- sidecar_path • template/path for .xmp when sidecar_only or when embedding is unavailable\n- merge_strategy • \"merge\", \"overwrite\", \"skip\" (how to resolve existing XMP in the input)\n- pretty_print • human-readable XML\n- sanitize_xml • escape unsafe characters (& < > \") in values\n- time_format • used for tokens inside paths/fields\n- token context • optional dict to expand %tokens (model/prompt/seed/etc.)\n\n⚙️ KEY OPTIONS:\n- Namespaces & mapping:\n • dc:title / dc:description / dc:subject (keywords as rdf:Bag)\n • xmp:Rating (0–5), xmp:CreateDate / xmp:MetadataDate (UTC ISO)\n • photoshop:AuthorsPosition / photoshop:Headline (optional)\n • exif:UserComment for prompt/notes if you want EXIF readers to see it\n- Input parsing:\n • Line mode: one \"key = value\" per line → trims spaces; empty lines ignored.\n • JSON mode: if xmp_body starts with '{', it’s parsed as JSON (nested objects/arrays allowed).\n • Arrays: comma-separated values map to rdf:Bag by default for dc:* fields.\n- Auto-fill (if toggled):\n • include_prompt → writes to exif:UserComment and dc:description\n • include_negative → appends to dc:description with a \"Negative:\" section\n • include_parameters → writes a compact block into xmpMM:History or exif:UserComment\n- Tokens in fields and paths:\n • %date, %date_dash, %time, %datetime\n • %model_name, %seed, %steps, %width, %height, %guidance/%cfg, %denoise, etc.\n • %img_count for batches (if provided)\n- Embedding vs. sidecar:\n • PNG/TIFF: embeds XMP packet in the file (when supported by the format/writer)\n • JPEG: embeds standard XMP segment\n • Sidecar: writes adjacent .xmp XML file (good for non-destructive, DAM-friendly workflows)\n- Safety:\n • sanitize_xml prevents malformed XML; long values are preserved (no hard truncation)\n • merge_strategy decides how to handle pre-existing XMP in the input image\n\n📤 OUTPUTS:\n- IMAGE • pass-through image (unchanged pixels)\n- XMP_STRING • the final XMP packet text (UTF-8)\n- SIDE_CAR_PATH • full path to the written .xmp (empty if none)\n- help • this message\n\n📝 Tips:\n- Prefer dc:subject (keywords) for searchability in DAM/Lightroom.\n- Keep prompts in exif:UserComment + dc:description; readers vary by app.\n- Sidecar only is safest when you don’t want to modify the original image file.\n- Use tokens to stamp model/version/seed for reliable provenance.\n"
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"outputs": [],
"title": "👑 FRED Image Quality Inspector (piq): Read Me",
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"\n👑 FRED_ImageQualityInspector\n\n🔹 PURPOSE:\nAnalyze image quality from four perspectives:\n• BRISQUE (perceptual quality, no reference, via piq)\n• Blur (variance of Laplacian, optionally restricted by mask)\n• SNR (signal-to-noise ratio, dB, optionally restricted by mask)\n• Compression proxy (Raw RGB size vs. JPEG@95 size)\n\n📥 INPUTS:\n- image • input image (required)\n- mask • optional mask (restricts blur/SNR computation to region)\n- scale_output_0_100 • if ON, metrics are normalized to scores (0–100, 100 = best)\n\n⚙️ KEY OPTIONS:\n- BRISQUE always computed on the full image.\n- Blur/SNR can be restricted by mask region if provided.\n- Compression proxy is heuristic: re-encodes JPEG@95 to estimate compressibility.\n- scale_output_0_100 allows direct comparison and automation (thresholding, scoring).\n\n📤 OUTPUTS:\n- BRISQUE_SCORE • raw or scaled value\n- BLUR_VALUE • raw or scaled value\n- SNR_VALUE • raw or scaled value\n- COMPRESSION_RATIO • raw or scaled value\n- help • this message\n\n───────────────────────────────────────────────\nWHEN “scale_output_0–100” = ON → normalized SCORES (100 = best)\n───────────────────────────────────────────────\n• brisque_score: 100 = excellent, 0 = poor.\n Mapping: 100 − clamp(raw_brisque, 0..100).\n\n• blur_score: 100 = sharp, 0 = very blurry.\n Mapping: saturating Laplacian variance map.\n\n• snr_score: 100 = no visible noise, 0 = very noisy.\n Mapping: scaled 0–40 dB (≥40 = 100, ∞ = 100).\n\n• compression_score: 100 = uncompressed/high intrinsic quality,\n 0 = oversmoothed or heavily compressible.\n Mapping: raw_RGB_size / JPEG95_size with saturation.\n\n───────────────────────────────────────────────\nWHEN “scale_output_0–100” = OFF → RAW METRICS\n───────────────────────────────────────────────\n• BRISQUE (lower is better; ~0–100+)\n <20 excellent • 20–30 very good • 30–40 OK • >40 questionable.\n\n• BLUR (variance of Laplacian; higher = sharper, unbounded)\n >300 very sharp • 50–300 moderately sharp • <50 likely blurry.\n\n• SNR (dB; higher = cleaner; can be negative or ∞)\n >25 low noise • 15–25 moderate • <15 noisy.\n\n• COMPRESSION_RATIO (raw_size / JPEG95_size; heuristic proxy)\n ~1.0 normal • <0.7 heavily compressed • >1.2 high quality/simple content.\n\n📝 Tips:\n- Read metrics together (e.g., sharp + noisy vs. smooth + clean).\n- Use mask for subject-focused evaluation (e.g., face area).\n- For thresholds/automation, prefer scaled 0–100 scores.\n"
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"title": "👑 FRED Image Saver: Read Me",
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"\n👑 FRED_Image_Saver\n\n🔹 PURPOSE\n\nSave images flexibly with dynamic filename/path tokens, Automatic1111-style metadata embedding, and optional grid saving.\n\nAccepts **list or batch** as input (mapping disabled on images), so the node runs **once** for a whole set.\n\n📥 INPUTS\n\n- images • one or more images to save (**list or batch accepted; mapping disabled**).\n\n• If a list contains a batch (e.g. [ (B,H,W,3) ]), it is flattened to B images.\n\n• All images must share the same H×W.\n\n- save_single_image • if ON, save each input image as its own file (in addition to the grid, if enabled).\n\n- filename / path • templates with tokens for naming (a counter is always appended for uniqueness).\n\n- time_format • used by %datetime.\n\n- extension / quality_jpeg_or_webp / optimize_png / lossless_webp • single-image format & compression.\n\n- save_workflow_as_json • writes a sidecar JSON file (metadata).\n\n- embed_workflow_in_png • embeds workflow/prompt/app metadata into PNG tEXt.\n\n- metadata fields (record-only; pixels are not changed):\n\nwidth, height, scale, denoise, guidance, clip_skip, steps, seed_value,\n\nsampler_name, scheduler_name, positive, negative, model_name\n\n• Positive/Negative are written **only if non-empty** (prevents “Negative prompt:” swallowing params).\n\n- lora_name_X / lora_weight_X (X=1..3) • up to 3 LoRAs. Weights are included **only if the name is set**.\n\n- Grid options:\n\n• save_as_grid_if_multi • if ON and there are ≥2 images, also save a tiled grid image.\n\n• grid_column_max / grid_row_max • maximum grid size (auto layout chooses rows/cols ≤ these maxima).\n\n• grid_filename / grid_path / grid_extension / grid_quality_jpeg_or_webp • grid output settings.\n\n⚙️ KEY BEHAVIOR\n\n- Single image saves:\n\n• Saved under “path” (relative to Comfy output unless absolute).\n\n• Uses tokenized filename; unique counter `_00001`, `_00002`, … appended.\n\n• PNG can embed JSON + optimize (lossless). JPEG/WEBP use quality; WEBP can be lossless.\n\n- Grid saves:\n\n• A grid image is **returned** as the first output (tensor `(1,H,W,3)`) for preview/flow.\n\n• A grid **file** is **saved only if** `save_as_grid_if_multi = ON` **and** there are ≥2 images.\n\n• Auto layout respects `grid_column_max` / `grid_row_max`. If not all images fit, extras are ignored with a log.\n\n• Grid metadata adds: `img_count`, `grid_rows`, `grid_cols`.\n\n• If there is only 1 image, the returned tensor is a 1×1 grid; no grid file is saved.\n\n🧾 METADATA (PNG tEXt “parameters” like Automatic1111)\n\n- “parameters” line(s):\n\n• Positive prompt line (if non-empty)\n\n• “Negative prompt: …” (if non-empty)\n\n• “Steps, Sampler, Scheduler, Guidance, Scale, Denoise, Seed, Size, Clip skip, Model”\n\n• “Version: ComfyUI ”\n\n• One line per LoRA: `LoRA_X: , LoRA_X_Weight: `\n\n- Also embeds “prompt”, “workflow” (if present), and “app” details.\n\n🔑 TOKENS (usable in filename and path)\n\n- Time/date: `%date`, `%date_dash`, `%time`, `%datetime`\n\n- Params: `%seed`/`%seed_value`, `%model`/`%model_name`/`%basemodelname`, `%sampler`/`%sampler_name`,\n\n`%scheduler`/`%scheduler_name`, `%width`, `%height`, `%steps`, `%cfg`/`%guidance`,\n\n`%scale`, `%denoise`, `%clip_skip`\n\n- Batch info: `%img_count` (grid/batch size)\n\n- LoRAs: `%lora_name_1..3`, `%lora_weight_1..3` (weight expands only if corresponding name is set)\n\n📤 OUTPUTS\n\n- GRID_IMAGE • the grid as `(1,H,W,3)` (or 1×1 if single input).\n\n- last_saved_path • path of the **last** saved file (single image or grid). Empty if nothing saved.\n\n- help • this message.\n\n📝 NOTES & TIPS\n\n- This node does **not** resize; width/height/steps/etc. are **recorded only**.\n\n- `%basemodelname` expands to `model_name` without extension.\n\n- PNG `optimize=True` reduces size but is slower. WEBP `lossless_webp=True` ignores quality.\n\n- Unique filenames are guaranteed (Comfy counter + safety loop).\n\n- **Mapping is disabled on `images`**: the node runs once for a whole list/batch.\n\n- If other inputs arrive as lists (from widgets), they are coerced to their **first** value to avoid remapping.\n\n- Set `save_single_image=False` if you only want the grid file.\n\n- Mixed sizes? Make sure all inputs share the same H×W before saving a grid.\n\n📚 EXAMPLES\n\n- filename: \"%basemodelname_%datetime_seed_%seed\"\n\n- path: \"Fred_nodes/%date_dash/\"\n\n- grid_filename: \"%model_name_%date_%time_grid_%img_count\"\n\n- grid_path: \"Test/%model_name/Grid/%date_dash/\"\n"
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{
"name": "negative",
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},
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