model list, group pic json
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@ -1,215 +0,0 @@
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{
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"3": {
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"inputs": {
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"seed": 688190695340079,
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"steps": 3,
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"cfg": 2,
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"sampler_name": "dpmpp_sde",
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"scheduler": "karras",
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"denoise": 1,
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"model": [
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"32",
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0
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],
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"positive": [
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"22",
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0
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],
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"negative": [
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"22",
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1
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],
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"latent_image": [
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"5",
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0
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]
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},
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"class_type": "KSampler",
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"_meta": {
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"title": "KSampler"
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}
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},
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"4": {
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"inputs": {
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"ckpt_name": "dreamshaperXL_sfwLightningDPMSDE.safetensors"
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},
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"class_type": "CheckpointLoaderSimple",
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"_meta": {
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"title": "Load Checkpoint"
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}
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},
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"5": {
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"inputs": {
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"width": 1024,
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"height": 1024,
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"batch_size": 1
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},
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"class_type": "EmptyLatentImage",
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"_meta": {
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"title": "Empty Latent Image"
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}
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},
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"6": {
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"inputs": {
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"text": "A fencer in full gear, fencing sword, 1 human, empty background, dark background, dark, empty",
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"clip": [
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"4",
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1
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Positive)"
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}
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},
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"8": {
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"inputs": {
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"samples": [
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"3",
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0
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],
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"vae": [
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"4",
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2
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]
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},
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"class_type": "VAEDecode",
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"_meta": {
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"title": "VAE Decode"
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}
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},
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"9": {
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"inputs": {
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"filename_prefix": "Result",
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"images": [
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"8",
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0
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]
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},
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"class_type": "SaveImage",
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"_meta": {
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"title": "Save Image"
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}
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},
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"17": {
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"inputs": {
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"image": "dance_01.png",
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"upload": "image"
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},
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"class_type": "LoadImage",
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"_meta": {
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"title": "Load Image"
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}
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},
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"19": {
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"inputs": {
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"control_net_name": "diffusion_pytorch_model.safetensors"
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},
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"class_type": "ControlNetLoader",
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"_meta": {
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"title": "Load ControlNet Model"
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}
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},
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"22": {
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"inputs": {
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"strength": 0.9500000000000001,
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"start_percent": 0,
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"end_percent": 1,
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"positive": [
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"6",
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0
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],
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"negative": [
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"40",
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0
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],
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"control_net": [
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"19",
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0
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],
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"image": [
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"17",
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0
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],
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"vae": [
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"4",
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2
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]
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},
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"class_type": "ControlNetApplyAdvanced",
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"_meta": {
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"title": "Apply ControlNet"
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}
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},
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"28": {
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"inputs": {
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"ipadapter_file": "ip-adapter-plus_sdxl_vit-h.safetensors"
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},
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"class_type": "IPAdapterModelLoader",
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"_meta": {
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"title": "IPAdapter Model Loader"
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}
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},
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"29": {
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"inputs": {
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"image": "ref_black.png",
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"upload": "image"
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},
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"class_type": "LoadImage",
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"_meta": {
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"title": "Load Image"
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}
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},
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"31": {
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"inputs": {
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"clip_name": "CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors"
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},
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"class_type": "CLIPVisionLoader",
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"_meta": {
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"title": "Load CLIP Vision"
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}
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},
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"32": {
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"inputs": {
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"weight": 1,
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"weight_type": "style and composition",
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"combine_embeds": "add",
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"start_at": 0,
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"end_at": 1,
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"embeds_scaling": "V only",
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"model": [
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"4",
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0
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],
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"ipadapter": [
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"28",
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0
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],
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"image": [
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"29",
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0
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],
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"clip_vision": [
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"31",
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0
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]
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},
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"class_type": "IPAdapterAdvanced",
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"_meta": {
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"title": "IPAdapter Advanced"
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}
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},
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"40": {
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"inputs": {
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"text": "blurry, drawing, horror, distorted, malformed, naked, cartoon, anime, out of focus, dull, muted colors, boring pose, no action, distracting background, colorful, (face:5.0), bad hand, bad anatomy, worst quality, ai generated images, low quality, average quality, smoke, background, three arms, three hands, white light, (light:5.0), (shadow:5.0), (floor:5.0)\n\nembedding:ac_neg1, embedding:ac_neg2, embedding:badhandv4, embedding:DeepNegative_xl_v1, embedding:NEGATIVE_HANDS, embedding:negativeXL_D, embedding:unaestheticXL_cbp62 -neg, embedding:verybadimagenegative_v1.3, embedding:ziprealism_neg, ",
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"clip": [
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"4",
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1
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Negative)"
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}
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}
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}
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@ -1,219 +0,0 @@
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{
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"3": {
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"inputs": {
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"seed": 219117161329479,
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"steps": 4,
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"cfg": 1.5,
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"sampler_name": "dpmpp_sde",
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"scheduler": "karras",
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"denoise": 1,
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"model": [
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"4",
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0
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],
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"positive": [
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"22",
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0
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],
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"negative": [
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"22",
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1
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],
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"latent_image": [
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"5",
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0
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]
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},
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"class_type": "KSampler",
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"_meta": {
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"title": "KSampler"
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}
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},
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"4": {
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"inputs": {
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"ckpt_name": "dreamshaperXL_sfwLightningDPMSDE.safetensors"
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},
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"class_type": "CheckpointLoaderSimple",
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"_meta": {
|
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"title": "Load Checkpoint"
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}
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},
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"5": {
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"inputs": {
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"width": 1024,
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"height": 1024,
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"batch_size": 1
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},
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"class_type": "EmptyLatentImage",
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"_meta": {
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"title": "Empty Latent Image"
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}
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},
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"6": {
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"inputs": {
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"text": "costume party, trick-or-treating, candy apples, pumpkin carving, haunted hayride, spooky stories, dress-up, decorations, Halloween parade, haunted corn maze, bobbing for apples, ghost stories, scary movies, pumpkin patch, fall festival, Halloween games, costume contest",
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"clip": [
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"4",
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1
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Positive)"
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}
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},
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"8": {
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"inputs": {
|
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"samples": [
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"3",
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0
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],
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"vae": [
|
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"4",
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2
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]
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},
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"class_type": "VAEDecode",
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"_meta": {
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"title": "VAE Decode"
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}
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},
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"9": {
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"inputs": {
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"filename_prefix": "Result",
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"images": [
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"8",
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0
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]
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},
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"class_type": "SaveImage",
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"_meta": {
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"title": "Save Image"
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}
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},
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"17": {
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"inputs": {
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"image": "e7f6c011776e8db7cd330b54174fd76f7d0216b612387a5ffcfb81e6f0919683.png",
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"upload": "image"
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},
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"class_type": "LoadImage",
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"_meta": {
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"title": "Load Image"
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}
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},
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"22": {
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"inputs": {
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"strength": 1,
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"start_percent": 0,
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"end_percent": 1,
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"positive": [
|
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"6",
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0
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],
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"negative": [
|
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"40",
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0
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],
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"control_net": [
|
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"43",
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0
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],
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"image": [
|
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"17",
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0
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],
|
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"vae": [
|
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"4",
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2
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]
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},
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"class_type": "ControlNetApplyAdvanced",
|
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"_meta": {
|
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"title": "Apply ControlNet"
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}
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},
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"28": {
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"inputs": {
|
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"ipadapter_file": "ip-adapter-plus_sdxl_vit-h.safetensors"
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},
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"class_type": "IPAdapterModelLoader",
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"_meta": {
|
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"title": "IPAdapter Model Loader"
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}
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},
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"29": {
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"inputs": {
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"image": "ref_black.png",
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"upload": "image"
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},
|
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"class_type": "LoadImage",
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"_meta": {
|
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"title": "Load Image"
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}
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},
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"31": {
|
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"inputs": {
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"clip_name": "CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors"
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},
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"class_type": "CLIPVisionLoader",
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"_meta": {
|
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"title": "Load CLIP Vision"
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}
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},
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"32": {
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"inputs": {
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"weight": 1,
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"weight_type": "style and composition",
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"combine_embeds": "norm average",
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"start_at": 0,
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"end_at": 1,
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"embeds_scaling": "K+V w/ C penalty",
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"model": [
|
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"4",
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0
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],
|
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"ipadapter": [
|
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"28",
|
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0
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],
|
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"image": [
|
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"29",
|
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0
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],
|
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"clip_vision": [
|
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"31",
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0
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]
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},
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"class_type": "IPAdapterAdvanced",
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"_meta": {
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"title": "IPAdapter Advanced"
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}
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},
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"40": {
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"inputs": {
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"text": "blurry, drawing, horror, distorted, malformed, naked, cartoon, anime, out of focus, dull, muted colors, boring pose, no action, distracting background, colorful, (face:5.0), bad hand, (bad anatomy:5.0), worst quality, ai generated images, low quality, average quality, smoke, background, three arms, three hands, white light, (light:5.0), (shadow:5.0), (floor:5.0), 2 sword, multiple sword\n\nembedding:ac_neg1, embedding:ac_neg2, embedding:badhandv4, embedding:DeepNegative_xl_v1, embedding:NEGATIVE_HANDS, embedding:negativeXL_D, embedding:unaestheticXL_cbp62 -neg, embedding:verybadimagenegative_v1.3, embedding:ziprealism_neg, ",
|
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"clip": [
|
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"4",
|
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1
|
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]
|
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},
|
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"class_type": "CLIPTextEncode",
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"_meta": {
|
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"title": "CLIP Text Encode (Negative)"
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}
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},
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"43": {
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"inputs": {
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"control_net_name": "OpenPoseXL2.safetensors",
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"model": [
|
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"4",
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0
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]
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},
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"class_type": "DiffControlNetLoader",
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"_meta": {
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"title": "Load ControlNet Model (diff)"
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}
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}
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}
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import json
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import urllib
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from urllib import request, parse
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import random
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from requests_toolbelt.multipart.encoder import MultipartEncoder
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server_address = "http://127.0.0.1:8188"
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def queue_prompt(prompt):
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p = {"prompt": prompt}
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data = json.dumps(p).encode('utf-8')
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req = request.Request(server_address + "/prompt", data=data)
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request.urlopen(req)
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def upload_image(input_path, name, server_address, image_type="input", overwrite=False):
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with open(input_path, 'rb') as file:
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multipart_data = MultipartEncoder(
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fields= {
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'image': (name, file, 'image/png'),
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'type': image_type,
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'overwrite': str(overwrite).lower()
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}
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)
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data = multipart_data
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headers = { 'Content-Type': multipart_data.content_type }
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request = urllib.request.Request("http://{}/upload/image".format(server_address), data=data, headers=headers)
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with urllib.request.urlopen(request) as response:
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return response.read()
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def gen_image(openpose_image_path):
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# read fencerAPI.json into prompt_text
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with open("fencerAPI.json", "r") as f:
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prompt_json = f.read()
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prompt = json.loads(prompt_json)
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# upload images
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upload_image("ref_black.png", "ref_black.png", server_address)
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upload_image(openpose_image_path, "openpose_image.png", server_address)
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prompt["3"]["inputs"]["seed"] = random.randint(0, 10000000000)
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prompt["29"]["inputs"]['image'] = "ref_black.png"
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prompt["17"]["inputs"]['image'] = "openpose_image.png"
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queue_prompt(prompt)
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@ -0,0 +1,176 @@
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{
|
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"3": {
|
||||
"inputs": {
|
||||
"seed": 29214331452310,
|
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"steps": 20,
|
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"cfg": 8,
|
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"sampler_name": "dpmpp_2m_sde_gpu",
|
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"scheduler": "karras",
|
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"denoise": 0.55,
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"model": [
|
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"4",
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0
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],
|
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"positive": [
|
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"11",
|
||||
0
|
||||
],
|
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"negative": [
|
||||
"11",
|
||||
1
|
||||
],
|
||||
"latent_image": [
|
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"15",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "KSampler",
|
||||
"_meta": {
|
||||
"title": "KSampler"
|
||||
}
|
||||
},
|
||||
"4": {
|
||||
"inputs": {
|
||||
"ckpt_name": "counterfeitV30_v30.safetensors"
|
||||
},
|
||||
"class_type": "CheckpointLoaderSimple",
|
||||
"_meta": {
|
||||
"title": "Load Checkpoint"
|
||||
}
|
||||
},
|
||||
"6": {
|
||||
"inputs": {
|
||||
"text": "costume party, trick-or-treating, candy apples, pumpkin carving, haunted hayride, spooky stories, dress-up, decorations, Halloween parade, haunted corn maze, bobbing for apples, ghost stories, scary movies, pumpkin patch, fall festival, Halloween games, costume contest, spooky fun, candy adventures, pumpkin smiles, friendly frights, dress-up days, Halloween parties, ghostly games, silly scares, trick-or-treat trips, costume parades, autumn excitement, fall, fun, Halloween celebration, happy, smile",
|
||||
"clip": [
|
||||
"4",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Text Encode (Prompt)"
|
||||
}
|
||||
},
|
||||
"7": {
|
||||
"inputs": {
|
||||
"text": "text, watermark",
|
||||
"clip": [
|
||||
"4",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Text Encode (Prompt)"
|
||||
}
|
||||
},
|
||||
"8": {
|
||||
"inputs": {
|
||||
"samples": [
|
||||
"3",
|
||||
0
|
||||
],
|
||||
"vae": [
|
||||
"4",
|
||||
2
|
||||
]
|
||||
},
|
||||
"class_type": "VAEDecode",
|
||||
"_meta": {
|
||||
"title": "VAE Decode"
|
||||
}
|
||||
},
|
||||
"9": {
|
||||
"inputs": {
|
||||
"filename_prefix": "ComfyUI",
|
||||
"images": [
|
||||
"8",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "SaveImage",
|
||||
"_meta": {
|
||||
"title": "Save Image"
|
||||
}
|
||||
},
|
||||
"10": {
|
||||
"inputs": {
|
||||
"image": "body_pose_output_multi0000.png",
|
||||
"upload": "image"
|
||||
},
|
||||
"class_type": "LoadImage",
|
||||
"_meta": {
|
||||
"title": "Load Image"
|
||||
}
|
||||
},
|
||||
"11": {
|
||||
"inputs": {
|
||||
"strength": 1,
|
||||
"start_percent": 0,
|
||||
"end_percent": 1,
|
||||
"positive": [
|
||||
"6",
|
||||
0
|
||||
],
|
||||
"negative": [
|
||||
"7",
|
||||
0
|
||||
],
|
||||
"control_net": [
|
||||
"12",
|
||||
0
|
||||
],
|
||||
"image": [
|
||||
"10",
|
||||
0
|
||||
],
|
||||
"vae": [
|
||||
"4",
|
||||
2
|
||||
]
|
||||
},
|
||||
"class_type": "ControlNetApplyAdvanced",
|
||||
"_meta": {
|
||||
"title": "Apply ControlNet"
|
||||
}
|
||||
},
|
||||
"12": {
|
||||
"inputs": {
|
||||
"control_net_name": "control_v11p_sd15_openpose_fp16.safetensors",
|
||||
"model": [
|
||||
"4",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "DiffControlNetLoader",
|
||||
"_meta": {
|
||||
"title": "Load ControlNet Model (diff)"
|
||||
}
|
||||
},
|
||||
"14": {
|
||||
"inputs": {
|
||||
"image": "test.png",
|
||||
"upload": "image"
|
||||
},
|
||||
"class_type": "LoadImage",
|
||||
"_meta": {
|
||||
"title": "Load Image"
|
||||
}
|
||||
},
|
||||
"15": {
|
||||
"inputs": {
|
||||
"pixels": [
|
||||
"14",
|
||||
0
|
||||
],
|
||||
"vae": [
|
||||
"4",
|
||||
2
|
||||
]
|
||||
},
|
||||
"class_type": "VAEEncode",
|
||||
"_meta": {
|
||||
"title": "VAE Encode"
|
||||
}
|
||||
}
|
||||
}
|
|
@ -0,0 +1,37 @@
|
|||
# ControlNet
|
||||
* ControlNet-v1-1_fp16_safetensors:
|
||||
|
||||
https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/blob/main/control_v11p_sd15_openpose_fp16.safetensors
|
||||
|
||||
* diffusion_pytorch_model.safetensors
|
||||
|
||||
https://huggingface.co/InstantX/InstantID/blob/main/ControlNetModel/diffusion_pytorch_model.safetensors
|
||||
|
||||
# Checkpoint
|
||||
* dreamshaperXL_sfwLightningDPMSDE.safetensors
|
||||
|
||||
https://civitai.com/models/112902?modelVersionId=355868
|
||||
|
||||
* counterfeitV30_v30.safetensors
|
||||
|
||||
https://civitai.com/models/4468/counterfeit-v30?modelVersionId=57618
|
||||
|
||||
* absolutereality_v181.safetensors
|
||||
|
||||
https://civitai.com/models/81458/absolutereality
|
||||
|
||||
# IPAdapter
|
||||
|
||||
* ip-adapter-plus_sdxl_vit-h.safetensors
|
||||
|
||||
https://huggingface.co/h94/IP-Adapter/blob/main/sdxl_models/ip-adapter-plus_sdxl_vit-h.safetensors
|
||||
|
||||
# CLIP Vision
|
||||
|
||||
* CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors
|
||||
|
||||
https://huggingface.co/laion/CLIP-ViT-H-14-laion2B-s32B-b79K
|
||||
|
||||
# embeddings
|
||||
|
||||
* In "embeddings" folder
|
|
@ -1,107 +0,0 @@
|
|||
{
|
||||
"3": {
|
||||
"inputs": {
|
||||
"seed": 518457609939857,
|
||||
"steps": 10,
|
||||
"cfg": 8,
|
||||
"sampler_name": "dpmpp_sde_gpu",
|
||||
"scheduler": "karras",
|
||||
"denoise": 1,
|
||||
"model": [
|
||||
"4",
|
||||
0
|
||||
],
|
||||
"positive": [
|
||||
"6",
|
||||
0
|
||||
],
|
||||
"negative": [
|
||||
"7",
|
||||
0
|
||||
],
|
||||
"latent_image": [
|
||||
"5",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "KSampler",
|
||||
"_meta": {
|
||||
"title": "KSampler"
|
||||
}
|
||||
},
|
||||
"4": {
|
||||
"inputs": {
|
||||
"ckpt_name": "v1-5-pruned-emaonly.safetensors"
|
||||
},
|
||||
"class_type": "CheckpointLoaderSimple",
|
||||
"_meta": {
|
||||
"title": "Load Checkpoint"
|
||||
}
|
||||
},
|
||||
"5": {
|
||||
"inputs": {
|
||||
"width": 512,
|
||||
"height": 512,
|
||||
"batch_size": 1
|
||||
},
|
||||
"class_type": "EmptyLatentImage",
|
||||
"_meta": {
|
||||
"title": "Empty Latent Image"
|
||||
}
|
||||
},
|
||||
"6": {
|
||||
"inputs": {
|
||||
"text": "beautiful scenery nature country road landscape, , blue galaxy, robot",
|
||||
"clip": [
|
||||
"4",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Text Encode (Prompt)"
|
||||
}
|
||||
},
|
||||
"7": {
|
||||
"inputs": {
|
||||
"text": "text, watermark",
|
||||
"clip": [
|
||||
"4",
|
||||
1
|
||||
]
|
||||
},
|
||||
"class_type": "CLIPTextEncode",
|
||||
"_meta": {
|
||||
"title": "CLIP Text Encode (Prompt)"
|
||||
}
|
||||
},
|
||||
"8": {
|
||||
"inputs": {
|
||||
"samples": [
|
||||
"3",
|
||||
0
|
||||
],
|
||||
"vae": [
|
||||
"4",
|
||||
2
|
||||
]
|
||||
},
|
||||
"class_type": "VAEDecode",
|
||||
"_meta": {
|
||||
"title": "VAE Decode"
|
||||
}
|
||||
},
|
||||
"9": {
|
||||
"inputs": {
|
||||
"filename_prefix": "ComfyUI",
|
||||
"images": [
|
||||
"8",
|
||||
0
|
||||
]
|
||||
},
|
||||
"class_type": "SaveImage",
|
||||
"_meta": {
|
||||
"title": "Save Image"
|
||||
}
|
||||
}
|
||||
}
|
Loading…
Reference in New Issue