Source JSON
Post #200999 · 1 source
inkbunny.net · 3769431:5828844 · selected
Downloader metadata · database Download
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.api.json · embedded sidecar fallback Download
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.description.json · embedded sidecar fallback Download
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},
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"flags": {
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"id": 17,
"inputs": [],
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-280
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"properties": {},
"shape": 1,
"size": [
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"type": "Note",
"widgets_values": [
"Here, we're loading Fdetailer with \"UltralyticsDetectorProivder\" and connecting it to \"SEGM Detector (SEGS)\".\n\nSEGM Detector allows us to define the mask parameters and waht objects we want to detect. \n\nThreshold controls how \"confident\" we want the model to be with our detections. A lower number may allow the model to detect more niche anatomy, but may also introudce false positives. I recommend leaving this between 0.35-0.5\n\nCrop factor controls how closely the image is cropped when inpainting. Lower numbers zoom in further and allow for more detail, but give the AI less context to work with and may result in poor blending. 2.5-4 works well for faces, but smaller objects (like an anus) may need a higher crop factor (3.5-5). If you typically run high denoising, you probably want a larger crop factor."
]
},
{
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"color": "#432",
"flags": {
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"pinned": true
},
"id": 25,
"inputs": [],
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6260,
-150
],
"properties": {},
"shape": 1,
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300,
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"type": "Note",
"widgets_values": [
"Here, we're grabbing our basic pipe node from earlier and image we generated from the first steps. We're also taking the objects (segs) that have been detected from SEGM Detector. "
]
},
{
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"flags": {
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"id": 18,
"inputs": [],
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"properties": {},
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"type": "Note",
"widgets_values": [
"You can tell SEGM Detector which classes you want to detect. \"all\" will attempt to detect all objects the model has been trained on, but you can also specify only some objects. In this example, only faces and penises will be detected. \n\nThe available classes Fdetailer has been trained to detect are:\nface\npenis\npussy\nanus\nsheath\npawpads"
]
},
{
"bgcolor": "#653",
"color": "#432",
"flags": {
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"Impact includes a convenient \"basic pipe\" node that allows us to combine our loaded model, prompt and vae all in a single node to transport the settings further along the workflow. This is entirely optional, but cleans up our workflow.\n\nIf you decide not to use the \"basic pipe\" node, you'll want to replace any \"Detailer\" nodes with their standard variety. For example, we're using \"DetailerDebug(SEGS/pipe)\" in this workflow. If you want to transport the model and prompt manually, replace it with \"DetailerDebug(SEGS)\""
]
},
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"color": "#432",
"flags": {
"collapsed": true,
"pinned": true
},
"id": 26,
"inputs": [],
"mode": 0,
"order": 9,
"outputs": [],
"pos": [
6260,
90
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"properties": {},
"shape": 1,
"size": [
300,
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],
"type": "Note",
"widgets_values": [
"The \"debug\" variant of the Impact detailers has additional outputs for \"cropped\" and \"cropped refined.\" These nodes provide previews of the objects that have been detected and give us a way to create a simple and convenient \"before and after\" preview for inpainting."
]
},
{
"bgcolor": "#653",
"color": "#432",
"flags": {
"collapsed": true,
"pinned": true
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"id": 24,
"inputs": [],
"mode": 0,
"order": 10,
"outputs": [],
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"type": "Note",
"widgets_values": [
"The detailer node controls the actual \"inpainting.\" Ensure the settings in the detailer node match your sampler settings (steps, cfg, sampler name, scheulder)\n\n\"Denoise\" controls how much you want the AI to change the detected area. Higher denoise values can give more detail in an area, but can also morph the area into something else entirely if the number is too high. Since we're just trying to get more detail and not change the area too much, a value between 0.3-0.5 is enough. Faces typically handle higher denoise values well, but smaller objects like an anus need a lower denoise value. Multiple detector nodes and detailer nodes with different denoise settings allow you to set different denoise settings for different areas. You can go as simple or crazy as you like, this workflow is just meant to cover the basics. "
]
},
{
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"flags": {
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},
"id": 28,
"inputs": [
{
"link": 40,
"name": "images",
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],
"mode": 0,
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"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.38"
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"shape": 1,
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],
"title": "Final Output Image",
"type": "SaveImage",
"widgets_values": [
"LesbianWolves"
]
},
{
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"flags": {
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"id": 6,
"inputs": [
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"name": "clip",
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"name": "CONDITIONING",
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"type": "CONDITIONING"
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],
"pos": [
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"properties": {
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"title": "Negative Prompt",
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"(extra fingers),\n(wrinkles,\n(rimlight, flash photo, bodybuilder, (faded, blue tint), sepia, ((white sclera)), loop, group, orgy, cartoon, dust, flecks, toony, costume, knife, sword, text, blush, gnarly, ugly, watermark:1.3),\n(pov:1.5),(dark scene 1.6),(human hands),(muscular:1.4),(6-pack:1.4),(human testicles:1.85),(exposed skin)"
]
},
{
"bgcolor": "#353",
"color": "#232",
"flags": {
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"id": 5,
"inputs": [
{
"link": 48,
"name": "clip",
"type": "CLIP"
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],
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"outputs": [
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"links": [
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"name": "CONDITIONING",
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],
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"title": "Positive Prompt",
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"((professional photo, photorealistic)), \n\n(anthro male Ethiopian Wolf)), tail, yellow eyes, (hands behind head),(naked),(erect canine penis),(thick penis:1.5),(smiling),(solo),(furry testicles:1.8),(large testicles:1.6),(digitigrade feet)\n\n(morning scene, indoor, (laying on back on bed), (grey sheets) (looking at viewer),(pillows),(mouth open),(tongue out),(panting)"
]
},
{
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{
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"name": "image",
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},
{
"link": null,
"name": "detailer_hook",
"shape": 7,
"type": "DETAILER_HOOK"
}
],
"mode": 0,
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"links": [
17
],
"name": "SEGS",
"slot_index": 0,
"type": "SEGS"
}
],
"pos": [
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"Node name for S&R": "SegmDetectorSEGS",
"cnr_id": "comfyui-impact-pack",
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