{ "source_images": [ "22,inputs,image" ], "4": { "inputs": { "seed": 378971921426134, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "41", 0 ], "positive": [ "41", 1 ], "negative": [ "41", 2 ], "latent_image": [ "63", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "8": { "inputs": {}, "class_type": "BRIA_RMBG_ModelLoader_Zho", "_meta": { "title": "🧹BRIA_RMBG Model Loader" } }, "9": { "inputs": { "rmbgmodel": [ "8", 0 ], "image": [ "4", 5 ] }, "class_type": "BRIA_RMBG_Zho", "_meta": { "title": "🧹BRIA RMBG" } }, "10": { "inputs": { "filename_prefix": "ComfyUI", "images": [ "9", 0 ] }, "class_type": "SaveImage", "_meta": { "title": "保存图像" } }, "22": { "inputs": { "image": "wife (1).jpg", "upload": "image" }, "class_type": "LoadImage", "_meta": { "title": "加载图像" } }, "35": { "inputs": { "instantid_file": "ip-adapter.bin" }, "class_type": "InstantIDModelLoader", "_meta": { "title": "InstnatID模型加载器" } }, "36": { "inputs": { "provider": "CUDA" }, "class_type": "InstantIDFaceAnalysis", "_meta": { "title": "InstantID面部分析" } }, "40": { "inputs": { "control_net_name": "diffusion_pytorch_model.safetensors" }, "class_type": "ControlNetLoader", "_meta": { "title": "ControlNet加载器" } }, "41": { "inputs": { "weight": 1, "start_at": 0, "end_at": 1, "instantid": [ "35", 0 ], "insightface": [ "36", 0 ], "control_net": [ "40", 0 ], "image": [ "330", 0 ], "model": [ "342", 0 ], "positive": [ "91", 0 ], "negative": [ "89", 0 ], "image_kps": [ "68", 5 ] }, "class_type": "ApplyInstantID", "_meta": { "title": "应用InstantID" } }, "59": { "inputs": { "lora_name": "StickersRedmond.safetensors", "strength_model": 1, "strength_clip": 1, "model": [ "60", 0 ], "clip": [ "60", 1 ] }, "class_type": "LoraLoader", "_meta": { "title": "LoRA加载器" } }, "60": { "inputs": { "ckpt_name": "dreamshaperXL_lightningDPMSDE.safetensors" }, "class_type": "CheckpointLoaderSimple", "_meta": { "title": "Checkpoint加载器(简易)" } }, "63": { "inputs": { "width": 1016, "height": 1016, "batch_size": 1 }, "class_type": "EmptyLatentImage", "_meta": { "title": "空Latent" } }, "67": { "inputs": { "text": [ "332", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "68": { "inputs": { "seed": 378971921426134, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "340", 0 ], "positive": [ "88", 0 ], "negative": [ "67", 0 ], "latent_image": [ "69", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "69": { "inputs": { "width": 1024, "height": 1024, "batch_size": 1 }, "class_type": "EmptyLatentImage", "_meta": { "title": "空Latent" } }, "78": { "inputs": { "filename_prefix": "ComfyUI", "images": [ "262", 0 ] }, "class_type": "SaveImage", "_meta": { "title": "保存图像" } }, "79": { "inputs": { "filename_prefix": "ComfyUI", "images": [ "276", 0 ] }, "class_type": "SaveImage", "_meta": { "title": "保存图像" } }, "80": { "inputs": { "filename_prefix": "ComfyUI", "images": [ "290", 0 ] }, "class_type": "SaveImage", "_meta": { "title": "保存图像" } }, "81": { "inputs": { "filename_prefix": "ComfyUI", "images": [ "304", 0 ] }, "class_type": "SaveImage", "_meta": { "title": "保存图像" } }, "82": { "inputs": { "filename_prefix": "ComfyUI", "images": [ "318", 0 ] }, "class_type": "SaveImage", "_meta": { "title": "保存图像" } }, "87": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "331", 0 ], "text_b": [ "334", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "88": { "inputs": { "text": [ "87", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "89": { "inputs": { "text": [ "332", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "90": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "87", 0 ], "text_b": [ "333", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "91": { "inputs": { "text": [ "90", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "260": { "inputs": { "seed": 378971921426134, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "266", 0 ], "positive": [ "266", 1 ], "negative": [ "266", 2 ], "latent_image": [ "63", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "261": { "inputs": {}, "class_type": "BRIA_RMBG_ModelLoader_Zho", "_meta": { "title": "🧹BRIA_RMBG Model Loader" } }, "262": { "inputs": { "rmbgmodel": [ "261", 0 ], "image": [ "260", 5 ] }, "class_type": "BRIA_RMBG_Zho", "_meta": { "title": "🧹BRIA RMBG" } }, "266": { "inputs": { "weight": 1, "start_at": 0, "end_at": 1, "instantid": [ "35", 0 ], "insightface": [ "36", 0 ], "control_net": [ "40", 0 ], "image": [ "22", 0 ], "model": [ "342", 0 ], "positive": [ "273", 0 ], "negative": [ "271", 0 ], "image_kps": [ "268", 5 ] }, "class_type": "ApplyInstantID", "_meta": { "title": "应用InstantID" } }, "267": { "inputs": { "text": [ "332", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "268": { "inputs": { "seed": 378971921426134, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "340", 0 ], "positive": [ "270", 0 ], "negative": [ "267", 0 ], "latent_image": [ "69", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "269": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "331", 0 ], "text_b": [ "335", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "270": { "inputs": { "text": [ "269", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "271": { "inputs": { "text": [ "332", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "272": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "269", 0 ], "text_b": [ "333", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "273": { "inputs": { "text": [ "272", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "274": { "inputs": { "seed": 464368907264865, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "280", 0 ], "positive": [ "280", 1 ], "negative": [ "280", 2 ], "latent_image": [ "63", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "275": { "inputs": {}, "class_type": "BRIA_RMBG_ModelLoader_Zho", "_meta": { "title": "🧹BRIA_RMBG Model Loader" } }, "276": { "inputs": { "rmbgmodel": [ "275", 0 ], "image": [ "274", 5 ] }, "class_type": "BRIA_RMBG_Zho", "_meta": { "title": "🧹BRIA RMBG" } }, "280": { "inputs": { "weight": 1, "start_at": 0, "end_at": 1, "instantid": [ "35", 0 ], "insightface": [ "36", 0 ], "control_net": [ "40", 0 ], "image": [ "22", 0 ], "model": [ "342", 0 ], "positive": [ "287", 0 ], "negative": [ "285", 0 ], "image_kps": [ "282", 5 ] }, "class_type": "ApplyInstantID", "_meta": { "title": "应用InstantID" } }, "281": { "inputs": { "text": [ "332", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "282": { "inputs": { "seed": 747779042843730, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "340", 0 ], "positive": [ "284", 0 ], "negative": [ "281", 0 ], "latent_image": [ "69", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "283": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "331", 0 ], "text_b": [ "336", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "284": { "inputs": { "text": [ "283", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "285": { "inputs": { "text": [ "332", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "286": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "283", 0 ], "text_b": [ "333", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "287": { "inputs": { "text": [ "286", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "288": { "inputs": { "seed": 378971921426134, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "294", 0 ], "positive": [ "294", 1 ], "negative": [ "294", 2 ], "latent_image": [ "63", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "289": { "inputs": {}, "class_type": "BRIA_RMBG_ModelLoader_Zho", "_meta": { "title": "🧹BRIA_RMBG Model Loader" } }, "290": { "inputs": { "rmbgmodel": [ "289", 0 ], "image": [ "288", 5 ] }, "class_type": "BRIA_RMBG_Zho", "_meta": { "title": "🧹BRIA RMBG" } }, "294": { "inputs": { "weight": 1, "start_at": 0, "end_at": 1, "instantid": [ "35", 0 ], "insightface": [ "36", 0 ], "control_net": [ "40", 0 ], "image": [ "22", 0 ], "model": [ "342", 0 ], "positive": [ "301", 0 ], "negative": [ "299", 0 ], "image_kps": [ "296", 5 ] }, "class_type": "ApplyInstantID", "_meta": { "title": "应用InstantID" } }, "295": { "inputs": { "text": [ "332", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "296": { "inputs": { "seed": 378971921426134, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "340", 0 ], "positive": [ "298", 0 ], "negative": [ "295", 0 ], "latent_image": [ "69", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "297": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "331", 0 ], "text_b": [ "337", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "298": { "inputs": { "text": [ "297", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "299": { "inputs": { "text": [ "332", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "300": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "297", 0 ], "text_b": [ "333", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "301": { "inputs": { "text": [ "300", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "302": { "inputs": { "seed": 564904540351969, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "308", 0 ], "positive": [ "308", 1 ], "negative": [ "308", 2 ], "latent_image": [ "63", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "303": { "inputs": {}, "class_type": "BRIA_RMBG_ModelLoader_Zho", "_meta": { "title": "🧹BRIA_RMBG Model Loader" } }, "304": { "inputs": { "rmbgmodel": [ "303", 0 ], "image": [ "302", 5 ] }, "class_type": "BRIA_RMBG_Zho", "_meta": { "title": "🧹BRIA RMBG" } }, "308": { "inputs": { "weight": 1, "start_at": 0, "end_at": 1, "instantid": [ "35", 0 ], "insightface": [ "36", 0 ], "control_net": [ "40", 0 ], "image": [ "22", 0 ], "model": [ "342", 0 ], "positive": [ "315", 0 ], "negative": [ "313", 0 ], "image_kps": [ "310", 5 ] }, "class_type": "ApplyInstantID", "_meta": { "title": "应用InstantID" } }, "309": { "inputs": { "text": [ "332", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "310": { "inputs": { "seed": 378971921426134, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "340", 0 ], "positive": [ "312", 0 ], "negative": [ "309", 0 ], "latent_image": [ "69", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "311": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "331", 0 ], "text_b": [ "338", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "312": { "inputs": { "text": [ "311", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "313": { "inputs": { "text": [ "332", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "314": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "311", 0 ], "text_b": [ "333", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "315": { "inputs": { "text": [ "314", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "316": { "inputs": { "seed": 378971921426134, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "322", 0 ], "positive": [ "322", 1 ], "negative": [ "322", 2 ], "latent_image": [ "63", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "317": { "inputs": {}, "class_type": "BRIA_RMBG_ModelLoader_Zho", "_meta": { "title": "🧹BRIA_RMBG Model Loader" } }, "318": { "inputs": { "rmbgmodel": [ "317", 0 ], "image": [ "316", 5 ] }, "class_type": "BRIA_RMBG_Zho", "_meta": { "title": "🧹BRIA RMBG" } }, "322": { "inputs": { "weight": 1, "start_at": 0, "end_at": 1, "instantid": [ "35", 0 ], "insightface": [ "36", 0 ], "control_net": [ "40", 0 ], "image": [ "22", 0 ], "model": [ "342", 0 ], "positive": [ "329", 0 ], "negative": [ "327", 0 ], "image_kps": [ "324", 5 ] }, "class_type": "ApplyInstantID", "_meta": { "title": "应用InstantID" } }, "323": { "inputs": { "text": [ "332", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "324": { "inputs": { "seed": 378971921426134, "steps": 8, "cfg": 4, "sampler_name": "dpmpp_2m_sde", "scheduler": "karras", "denoise": 1, "preview_method": "auto", "vae_decode": "true", "model": [ "340", 0 ], "positive": [ "326", 0 ], "negative": [ "323", 0 ], "latent_image": [ "69", 0 ], "optional_vae": [ "60", 2 ] }, "class_type": "KSampler (Efficient)", "_meta": { "title": "K采样器(效率)" } }, "325": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "331", 0 ], "text_c": [ "339", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "326": { "inputs": { "text": [ "325", 0 ], "clip": [ "60", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "327": { "inputs": { "text": [ "332", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "328": { "inputs": { "delimiter": "", "clean_whitespace": "false", "text_a": [ "325", 0 ], "text_b": [ "333", 0 ] }, "class_type": "Text Concatenate", "_meta": { "title": "文本连锁" } }, "329": { "inputs": { "text": [ "328", 0 ], "clip": [ "59", 1 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP文本编码器" } }, "330": { "inputs": { "upscale_method": "lanczos", "megapixels": 1, "image": [ "22", 0 ] }, "class_type": "ImageScaleToTotalPixels", "_meta": { "title": "图像按像素缩放" } }, "331": { "inputs": { "text": "half body, looking at viewer, [1 boy]" }, "class_type": "CR Text", "_meta": { "title": "文本" } }, "332": { "inputs": { "text": "shiny, photo, photography, soft, nsfw, nude, ugly, broken, watermark, oversaturated" }, "class_type": "CR Text", "_meta": { "title": "文本" } }, "333": { "inputs": { "text": ", Sticker, svg, vector art, sharp, kawaii style, Anime style" }, "class_type": "CR Text", "_meta": { "title": "文本" } }, "334": { "inputs": { "text": "laughing" }, "class_type": "CR Text", "_meta": { "title": "文本" } }, "335": { "inputs": { "text": "smiling" }, "class_type": "CR Text", "_meta": { "title": "文本" } }, "336": { "inputs": { "text": "angry" }, "class_type": "CR Text", "_meta": { "title": "文本" } }, "337": { "inputs": { "text": "shocked" }, "class_type": "CR Text", "_meta": { "title": "文本" } }, "338": { "inputs": { "text": "crying, " }, "class_type": "CR Text", "_meta": { "title": "文本" } }, "339": { "inputs": { "text": "Open one's mouth to laughter" }, "class_type": "CR Text", "_meta": { "title": "文本" } }, "340": { "inputs": { "hard_mode": true, "boost": true, "model": [ "60", 0 ] }, "class_type": "Automatic CFG", "_meta": { "title": "自动CFG" } }, "342": { "inputs": { "hard_mode": true, "boost": true, "model": [ "59", 0 ] }, "class_type": "Automatic CFG", "_meta": { "title": "自动CFG" } } }