Model:StableDiffusion

prompt: {"2": {"inputs": {"image": "clipspace-painted-masked-1790950469373.png [input]"}, "class_type": "LoadImage", "_meta": {"title": "\u5165\u529b\u753b\u50cf"}, "is_changed": ["534682c59a5f2188a93d3cf2d42dd8b76600dc17a43619d1cf69ab4e50c6b21c"]}, "3": {"inputs": {"string": "nata \\(tool\\), ", "strip_newlines": false}, "class_type": "StringConstantMultiline", "_meta": {"title": "SAM3 \u691c\u51fa\u5bfe\u8c61"}}, "4": {"inputs": {"string": "one long Japanese nata machete, elongated heavy rectangular steel blade,\nthe blade extends diagonally toward the lower left,\ncontinuous blade connected to the existing handle,\nsame handle, consistent perspective, clean sharp edge,\nthe character holding the weapon naturally", "strip_newlines": false}, "class_type": "StringConstantMultiline", "_meta": {"title": "\u518d\u63cf\u753b Positive (Wildcard / LoRA\u5bfe\u5fdc)"}}, "5": {"inputs": {"string": "short blade, broken blade, detached blade, duplicate weapon,\nextra blade, extra handle, bent blade, malformed weapon", "strip_newlines": false}, "class_type": "StringConstantMultiline", "_meta": {"title": "\u518d\u63cf\u753b Negative"}}, "6": {"inputs": {"number_type": "integer", "minimum": 0, "maximum": 2147483647, "seed": 779294439652136}, "class_type": "Random Number", "_meta": {"title": "Seed"}, "is_changed": NaN}, "8": {"inputs": {"images": ["7:25", 0]}, "class_type": "PreviewImage", "_meta": {"title": "\u518d\u63cf\u753b\u7d50\u679c Preview"}}, "9": {"inputs": {"filename_prefix": "20261002/20261002232136-Anima-SAM3-ManualMask-i2i", "images": ["7:25", 0]}, "class_type": "SaveImage", "_meta": {"title": "\u518d\u63cf\u753b\u7d50\u679c\u3092\u4fdd\u5b58"}}, "10": {"inputs": {"mask": ["7:28", 0]}, "class_type": "MaskPreview", "_meta": {"title": "\u6700\u7d42\u9069\u7528\u30de\u30b9\u30af\uff08SAM3\uff0b\u624b\u52d5\uff09"}}, "11": {"inputs": {"source": ["7:17", 3]}, "class_type": "PreviewAny", "_meta": {"title": "\u5c55\u958b\u6e08\u307f\u518d\u63cf\u753bPrompt"}}, "7:12": {"inputs": {"unet_name": "anima\\fnMixAnimaTurbo_baseNoTurbo_INT8.safetensors", "weight_dtype": "default", "model_type": "anima", "on_the_fly_quantization": false, "enable_convrot": true, "lora_mode": "None"}, "class_type": "OTUNetLoaderW8A8", "_meta": {"title": "Anima INT8 Model"}}, "7:13": {"inputs": {"clip_name": "qwen_3_06b_base.safetensors", "type": "stable_diffusion", "device": "default"}, "class_type": "CLIPLoader", "_meta": {"title": "Anima Text Encoder"}}, "7:14": {"inputs": {"vae_name": "qwen_image_vae.safetensors"}, "class_type": "VAELoader", "_meta": {"title": "Anima VAE"}}, "7:15": {"inputs": {"string_a": ["4", 0], "string_b": "<lora:anima\\turbo\\Turbo-ANIMA-v2:1.0>", "delimiter": "\n"}, "class_type": "StringConcatenate", "_meta": {"title": "Turbo LoRA\u30bf\u30b0\u3092\u8ffd\u52a0"}}, "7:16": {"inputs": {"switch": false, "on_false": ["4", 0], "on_true": ["7:15", 0]}, "class_type": "LazySwitchKJ", "_meta": {"title": "Turbo LoRA\u3092\u6709\u52b9\u306b\u3059\u308b\uff1f"}}, "7:17": {"inputs": {"wildcard_text": "", "populated_text": ["7:16", 0], "mode": "fixed", "Select to add LoRA": "Select the LoRA to add to the text", "Select to add Wildcard": "Select the Wildcard to add to the text", "seed": 0, "model": ["7:12", 0], "clip": ["7:13", 0]}, "class_type": "ImpactWildcardEncode", "_meta": {"title": "\u518d\u63cf\u753b Positive / Wildcard / LoRA"}}, "7:18": {"inputs": {"text": ["5", 0], "clip": ["7:17", 1]}, "class_type": "CLIPTextEncode", "_meta": {"title": "\u518d\u63cf\u753b Negative"}}, "7:19": {"inputs": {"ckpt_name": "SAM\\sam3.1_multiplex_fp16.safetensors"}, "class_type": "CheckpointLoaderSimple", "_meta": {"title": "SAM3.1 Model"}}, "7:20": {"inputs": {"text": ["3", 0], "clip": ["7:19", 1]}, "class_type": "CLIPTextEncode", "_meta": {"title": "SAM3 \u691c\u51fa\u5bfe\u8c61"}}, "7:21": {"inputs": {"threshold": 0.45, "refine_iterations": 2, "individual_masks": false, "model": ["7:19", 0], "image": ["2", 0], "conditioning": ["7:20", 0]}, "class_type": "SAM3_Detect", "_meta": {"title": "SAM3\u3067\u5bfe\u8c61\u3092\u691c\u51fa"}}, "7:22": {"inputs": {"expand": 12, "tapered_corners": true, "mask": ["7:21", 0]}, "class_type": "GrowMask", "_meta": {"title": "\u691c\u51fa\u30de\u30b9\u30af\u3092\u62e1\u5f35"}}, "7:26": {"inputs": {"expand": 12, "tapered_corners": true, "mask": ["2", 1]}, "class_type": "GrowMask", "_meta": {"title": "\u624b\u52d5\u30de\u30b9\u30af\u3092\u62e1\u5f35"}}, "7:27": {"inputs": {"mask1": ["7:22", 0], "mask2": ["7:26", 0]}, "class_type": "AddMask", "_meta": {"title": "SAM3\uff0b\u624b\u52d5\u30de\u30b9\u30af\uff08\u548c\u96c6\u5408\uff09"}}, "7:28": {"inputs": {"switch": true, "on_false": ["7:22", 0], "on_true": ["7:27", 0]}, "class_type": "LazySwitchKJ", "_meta": {"title": "\u624b\u52d5\u30de\u30b9\u30af\u3092\u8ffd\u52a0\u3059\u308b\uff1f"}}, "7:23": {"inputs": {"combined": false, "crop_factor": 2.0, "bbox_fill": false, "drop_size": 16, "contour_fill": false, "mask": ["7:28", 0]}, "class_type": "MaskToSEGS", "_meta": {"title": "\u6700\u7d42\u9069\u7528Mask \u2192 SEGS"}}, "7:25": {"inputs": {"switch": true, "on_false": ["2", 0], "on_true": ["7:24", 0]}, "class_type": "LazySwitchKJ", "_meta": {"title": "SAM3+i2i\u3092\u5b9f\u884c\u3059\u308b\uff1f"}}, "7:24": {"inputs": {"guide_size": 768.0, "guide_size_for": true, "max_size": 1536.0, "seed": 0, "steps": 16, "cfg": 2.0, "sampler_name": "er_sde", "scheduler": "simple", "denoise": 0.8, "feather": 12, "noise_mask": true, "force_inpaint": true, "wildcard": "", "cycle": 1, "inpaint_model": false, "noise_mask_feather": 20, "tiled_encode": false, "tiled_decode": false, "image": ["2", 0], "segs": ["7:23", 0], "model": ["7:17", 0], "clip": ["7:17", 1], "vae": ["7:14", 0], "positive": ["7:17", 2], "negative": ["7:18", 0]}, "class_type": "DetailerForEach", "_meta": {"title": "SAM3\u90e8\u5206 i2i\u518d\u63cf\u753b"}}} workflow: {"id": "2dac1e4f-14b4-4190-aef6-22abb94f5277", "revision": 0, "last_node_id": 28, "last_link_id": 51, "nodes": [{"id": 1, "type": "MarkdownNote", "pos": [-1250, -20], "size": [590, 440], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [], "title": "\u4f7f\u3044\u65b9", "properties": {}, "widgets_values": ["# Anima INT8 \u2014 SAM3 + \u624b\u52d5\u30de\u30b9\u30af + i2i \u90e8\u5206\u518d\u63cf\u753b\n\n1. **\u5165\u529b\u753b\u50cf**\u3092\u9078\u629e\u3057\u307e\u3059\u3002\n2. \u5165\u529b\u753b\u50cf\u3092\u53f3\u30af\u30ea\u30c3\u30af\u3057\u3066**\u30de\u30b9\u30af\u30a8\u30c7\u30a3\u30bf**\u3092\u958b\u304d\u3001SAM3\u691c\u51fa\u9818\u57df\u3078\u8ffd\u52a0\u3057\u305f\u3044\u5834\u6240\u3092\u5857\u308a\u307e\u3059\u3002\n3. **SAM3 \u691c\u51fa\u5bfe\u8c61**\u3078\u82f1\u8a9e\u3067\u5bfe\u8c61\u3092\u5165\u529b\u3057\u307e\u3059\uff08\u4f8b: `left hand`, `face`, `sword`\uff09\u3002\n4. **\u518d\u63cf\u753b Positive**\u3078\u3001\u5bfe\u8c61\u3092\u3069\u3046\u76f4\u3059\u304b\u5165\u529b\u3057\u307e\u3059\u3002Wildcard\u3068LoRA\u30bf\u30b0\u3082\u5229\u7528\u3067\u304d\u307e\u3059\u3002\n5. **\u624b\u52d5\u30de\u30b9\u30af\u3092\u8ffd\u52a0\u3059\u308b\uff1f**\u3092ON\u306b\u3059\u308b\u3068\u3001SAM3\u30de\u30b9\u30af\u3068\u624b\u52d5\u30de\u30b9\u30af\u306e\u548c\u96c6\u5408\u3092i2i\u3057\u307e\u3059\u3002\n6. \u5b9f\u884c\u524d\u306b**\u6700\u7d42\u9069\u7528\u30de\u30b9\u30af**\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\n- SAM3\u30e2\u30c7\u30eb: `models/checkpoints/SAM/sam3.1_multiplex_fp16.safetensors`\n- SAM3\u7528\u3068\u624b\u52d5\u7528\u306e\u30de\u30b9\u30af\u62e1\u5f35\u91cf\u306f\u500b\u5225\u306b\u8a2d\u5b9a\u3067\u304d\u307e\u3059\u3002\n- \u624b\u52d5\u30de\u30b9\u30af\u304c\u7a7a\u306e\u5834\u5408\u306f\u3001ON\u3067\u3082\u5b9f\u8ceaSAM3\u691c\u51fa\u9818\u57df\u3060\u3051\u304c\u5bfe\u8c61\u3067\u3059\u3002\n- Turbo LoRA \u3068 SAM3+i2i \u306f\u30b5\u30d6\u30b0\u30e9\u30d5\u5185\u306e\u30b9\u30a4\u30c3\u30c1\u3067\u500b\u5225\u306bON/OFF\u53ef\u80fd\u3067\u3059\u3002\n- \u8907\u6570\u5bfe\u8c61\u304c\u96e2\u308c\u3066\u3044\u308b\u5834\u5408\u306f\u3001MaskToSEGS\u304c\u9818\u57df\u3054\u3068\u306b\u51e6\u7406\u3057\u307e\u3059\u3002"], "widgets_values_named": {"text": "# Anima INT8 \u2014 SAM3 + \u624b\u52d5\u30de\u30b9\u30af + i2i \u90e8\u5206\u518d\u63cf\u753b\n\n1. **\u5165\u529b\u753b\u50cf**\u3092\u9078\u629e\u3057\u307e\u3059\u3002\n2. \u5165\u529b\u753b\u50cf\u3092\u53f3\u30af\u30ea\u30c3\u30af\u3057\u3066**\u30de\u30b9\u30af\u30a8\u30c7\u30a3\u30bf**\u3092\u958b\u304d\u3001SAM3\u691c\u51fa\u9818\u57df\u3078\u8ffd\u52a0\u3057\u305f\u3044\u5834\u6240\u3092\u5857\u308a\u307e\u3059\u3002\n3. **SAM3 \u691c\u51fa\u5bfe\u8c61**\u3078\u82f1\u8a9e\u3067\u5bfe\u8c61\u3092\u5165\u529b\u3057\u307e\u3059\uff08\u4f8b: `left hand`, `face`, `sword`\uff09\u3002\n4. **\u518d\u63cf\u753b Positive**\u3078\u3001\u5bfe\u8c61\u3092\u3069\u3046\u76f4\u3059\u304b\u5165\u529b\u3057\u307e\u3059\u3002Wildcard\u3068LoRA\u30bf\u30b0\u3082\u5229\u7528\u3067\u304d\u307e\u3059\u3002\n5. **\u624b\u52d5\u30de\u30b9\u30af\u3092\u8ffd\u52a0\u3059\u308b\uff1f**\u3092ON\u306b\u3059\u308b\u3068\u3001SAM3\u30de\u30b9\u30af\u3068\u624b\u52d5\u30de\u30b9\u30af\u306e\u548c\u96c6\u5408\u3092i2i\u3057\u307e\u3059\u3002\n6. \u5b9f\u884c\u524d\u306b**\u6700\u7d42\u9069\u7528\u30de\u30b9\u30af**\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\n- SAM3\u30e2\u30c7\u30eb: `models/checkpoints/SAM/sam3.1_multiplex_fp16.safetensors`\n- SAM3\u7528\u3068\u624b\u52d5\u7528\u306e\u30de\u30b9\u30af\u62e1\u5f35\u91cf\u306f\u500b\u5225\u306b\u8a2d\u5b9a\u3067\u304d\u307e\u3059\u3002\n- \u624b\u52d5\u30de\u30b9\u30af\u304c\u7a7a\u306e\u5834\u5408\u306f\u3001ON\u3067\u3082\u5b9f\u8ceaSAM3\u691c\u51fa\u9818\u57df\u3060\u3051\u304c\u5bfe\u8c61\u3067\u3059\u3002\n- Turbo LoRA \u3068 SAM3+i2i \u306f\u30b5\u30d6\u30b0\u30e9\u30d5\u5185\u306e\u30b9\u30a4\u30c3\u30c1\u3067\u500b\u5225\u306bON/OFF\u53ef\u80fd\u3067\u3059\u3002\n- \u8907\u6570\u5bfe\u8c61\u304c\u96e2\u308c\u3066\u3044\u308b\u5834\u5408\u306f\u3001MaskToSEGS\u304c\u9818\u57df\u...