Khoa Nguyen Dang commited on
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Add dataset files

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  1. data-00000-of-00001.arrow +0 -0
  2. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/AIGODLIKE-ComfyUI-Translation.json +5 -0
  3. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/AlekPet_nodes.json +362 -0
  4. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/AnimateDiff.json +87 -0
  5. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/BNK_TiledKSampler.json +68 -0
  6. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyLiterals.json +29 -0
  7. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyMath.json +579 -0
  8. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-3D-MeshTool.json +359 -0
  9. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-3D-Pack.json +557 -0
  10. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Advanced-ControlNet.json +189 -0
  11. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-AdvancedLivePortrait.json +99 -0
  12. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-AnimateAnyone-Evolved.json +155 -0
  13. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-AnimateDiff-Evolved.json +1903 -0
  14. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Any.json +61 -0
  15. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Anyline.json +11 -0
  16. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-AutomaticCFG.json +231 -0
  17. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-BiRefNet-Hugo.json +16 -0
  18. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-BiRefNet.json +14 -0
  19. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-BrushNet-Wrapper.json +116 -0
  20. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-BrushNet.json +140 -0
  21. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-CCSR.json +46 -0
  22. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Champ.json +92 -0
  23. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-CogVideoXWrapper.json +78 -0
  24. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-ControlNeXt-SVD.json +92 -0
  25. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Crystools.json +328 -0
  26. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Custom-Scripts.json +206 -0
  27. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-DynamiCrafterWrapper.json +118 -0
  28. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-ELLA.json +129 -0
  29. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Easy-Tools.json +16 -0
  30. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Easy-Use.json +3034 -0
  31. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-EasyAnimate.json +38 -0
  32. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-EasyAnimateWrapper.json +86 -0
  33. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-ExLlama-Nodes.json +75 -0
  34. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Florence.json +64 -0
  35. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Flowty-CRM.json +92 -0
  36. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Flowty-TripoSR.json +33 -0
  37. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Frame-Interpolation.json +228 -0
  38. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-IC-Light-Wrapper.json +50 -0
  39. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-IC-Light.json +107 -0
  40. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-IF_AI_tools.json +145 -0
  41. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Impact-Pack.json +2741 -0
  42. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Inpaint-CropAndStitch.json +90 -0
  43. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Inspire-Pack.json +1285 -0
  44. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-InstantID.json +92 -0
  45. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-InstantMesh.json +31 -0
  46. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-KJNodes.json +2052 -0
  47. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Kolors-MZ.json +115 -0
  48. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-KwaiKolorsWrapper.json +65 -0
  49. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-LCM.json +65 -0
  50. page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-LaMA-Preprocessor.json +18 -0
data-00000-of-00001.arrow ADDED
File without changes
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/AIGODLIKE-ComfyUI-Translation.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "AGL": "语言",
3
+ "Locale": "语言",
4
+ "AGLTranslation-language": "语言"
5
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/AlekPet_nodes.json ADDED
@@ -0,0 +1,362 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "PreviewTextNode": {
3
+ "title": "預覽文本",
4
+ "inputs": {
5
+ "text": "文本"
6
+ },
7
+ "widgets": {
8
+ "text": "文本"
9
+ }
10
+ },
11
+ "PainterNode": {
12
+ "title": "繪畫",
13
+ "widgets": {
14
+ "image": "圖像",
15
+ "Clear Canvas": "清除畫布"
16
+ },
17
+ "outputs": {
18
+ "IMAGE": "圖像",
19
+ "MASK": "遮罩"
20
+ }
21
+ },
22
+ "PoseNode": {
23
+ "title": "姿態",
24
+ "widgets": {
25
+ "image": "圖像",
26
+ "Add pose": "增加姿勢",
27
+ "Reset pose": "重置姿勢"
28
+ },
29
+ "outputs": {
30
+ "IMAGE": "圖像"
31
+ }
32
+ },
33
+ "TranslateCLIPTextEncodeNode": {
34
+ "title": "CLIP文本編碼器(翻譯)",
35
+ "inputs": {
36
+ "clip": "CLIP"
37
+ },
38
+ "widgets": {
39
+ "from_translate": "從",
40
+ "auto": "自動",
41
+ "af": "南非荷蘭語",
42
+ "sq": "阿爾巴尼亞語",
43
+ "am": "阿姆哈拉語",
44
+ "ar": "阿拉伯語",
45
+ "hy": "亞美尼亞語",
46
+ "az": "阿塞拜疆語",
47
+ "eu": "巴斯克語",
48
+ "be": "白俄羅斯語",
49
+ "bn": "孟加拉語",
50
+ "bs": "波斯尼亞語",
51
+ "bg": "保加利亞語",
52
+ "ca": "加泰羅尼亞語",
53
+ "ceb": "宿務語",
54
+ "ny": "齊切瓦語",
55
+ "zh-cn": "中文(簡體)",
56
+ "zh-tw": "中文(繁體)",
57
+ "co": "科西嘉語",
58
+ "hr": "克羅地亞語",
59
+ "cs": "捷克語",
60
+ "da": "丹麥語",
61
+ "nl": "荷蘭語",
62
+ "en": "英語",
63
+ "eo": "埃斯佩蘭托語",
64
+ "et": "愛沙尼亞語",
65
+ "tl": "菲律賓語",
66
+ "fi": "芬蘭語",
67
+ "fr": "法語",
68
+ "fy": "弗里斯蘭語",
69
+ "gl": "加利西亞語",
70
+ "ka": "格魯吉亞語",
71
+ "de": "德語",
72
+ "el": "希臘語",
73
+ "gu": "古吉拉特語",
74
+ "ht": "海地克里奧爾語",
75
+ "ha": "豪薩語",
76
+ "haw": "夏威夷語",
77
+ "iw": "希伯來語",
78
+ "he": "希伯來語",
79
+ "hi": "印地語",
80
+ "hmn": "苗語",
81
+ "hu": "匈牙利",
82
+ "is": "冰島語",
83
+ "ig": "伊格博語",
84
+ "id": "印尼語",
85
+ "ga": "愛爾蘭語",
86
+ "it": "意大利語",
87
+ "ja": "日語",
88
+ "jw": "爪哇語",
89
+ "kn": "卡納達語",
90
+ "kk": "卡紮赫語",
91
+ "km": "高棉語",
92
+ "ko": "韓語",
93
+ "ku": "庫爾德語",
94
+ "ky": "吉爾吉斯語",
95
+ "lo": "老撾語",
96
+ "la": "拉丁語",
97
+ "lv": "拉脫維亞語",
98
+ "lt": "立陶宛語",
99
+ "lb": "盧森堡語",
100
+ "mk": "馬其頓語",
101
+ "mg": "馬達加斯加語",
102
+ "ms": "馬來語",
103
+ "ml": "馬拉雅拉姆語",
104
+ "mt": "馬耳他語",
105
+ "mi": "毛利語",
106
+ "mr": "馬拉地語",
107
+ "mn": "蒙古語",
108
+ "my": "緬甸語",
109
+ "ne": "尼泊爾語",
110
+ "no": "挪威語",
111
+ "or": "奧迪亞語",
112
+ "ps": "普什圖語",
113
+ "fa": "波斯語",
114
+ "pl": "波蘭語",
115
+ "pt": "葡萄牙語",
116
+ "pa": "旁遮普語",
117
+ "ro": "羅馬尼亞語",
118
+ "ru": "俄語",
119
+ "sm": "薩摩亞語",
120
+ "gd": "蘇格蘭蓋爾語",
121
+ "sr": "塞爾維亞語",
122
+ "st": "塞索托語",
123
+ "sn": "紹納語",
124
+ "sd": "信德語",
125
+ "si": "僧伽羅語",
126
+ "sk": "斯洛伐克語",
127
+ "sl": "斯洛文尼亞語",
128
+ "so": "索馬里語",
129
+ "es": "西班牙文",
130
+ "su": "蘇丹麥語",
131
+ "sw": "斯瓦希里語",
132
+ "sv": "瑞典語",
133
+ "tg": "塔吉克語",
134
+ "ta": "泰米爾語",
135
+ "te": "泰盧固語",
136
+ "th": "泰語",
137
+ "tr": "土耳其語",
138
+ "uk": "烏克蘭語",
139
+ "ur": "烏爾都語",
140
+ "ug": "維吾爾語",
141
+ "uz": "烏茲別克語",
142
+ "vi": "越南語",
143
+ "cy": "威爾士語",
144
+ "xh": "科薩語",
145
+ "yi": "意第緒語",
146
+ "yo": "約魯巴語",
147
+ "zu": "祖魯語",
148
+ "to_translate": "到",
149
+ "text": "文本"
150
+ },
151
+ "outputs": {
152
+ "CONDITIONING": "條件",
153
+ "STRING": "字符串"
154
+ }
155
+ },
156
+ "DeepTranslatorCLIPTextEncodeNode": {
157
+ "title": "CLIP文本編碼器(進階翻譯)",
158
+ "inputs": {
159
+ "clip": "CLIP"
160
+ },
161
+ "widgets": {
162
+ "from_translate": "從",
163
+ "afrikaans": "南非荷蘭語",
164
+ "albanian": "阿爾巴尼亞語",
165
+ "amharic": "阿姆哈拉語",
166
+ "arabic": "阿拉伯語",
167
+ "armenian": "亞美尼亞語",
168
+ "azerbaijani": "阿塞拜疆語",
169
+ "assamesa": "阿薩姆語",
170
+ "aymara": "艾馬拉語",
171
+ "bambara": " 班巴拉語",
172
+ "basque": "巴斯克語",
173
+ "belarusian": "白俄羅斯語",
174
+ "bengali": "孟加拉語",
175
+ "bhojpuri": "博傑普里語",
176
+ "bosnian": "波斯尼亞語",
177
+ "bulgarian": "保加利亞語",
178
+ "catalan": "加泰羅尼亞語",
179
+ "cebuano": "宿務語",
180
+ "chichewa": "齊切瓦語",
181
+ "chinese (simplified)": "中文(簡體)",
182
+ "chinese (traditional)": "中文(繁體)",
183
+ "corsican": "科西嘉語",
184
+ "croatian": "克羅地亞語",
185
+ "czech": "捷克語",
186
+ "danish": "丹麥語",
187
+ "dhivehi": "迪維希語",
188
+ "dogri": "多格拉語",
189
+ "dutch": "荷蘭語",
190
+ "english": "英語",
191
+ "esperanto": "埃斯佩蘭托語",
192
+ "estonian": "愛沙尼亞語",
193
+ "ewe": "埃維語",
194
+ "filipino": "菲律賓語",
195
+ "finnish": "芬蘭語",
196
+ "french": "法語",
197
+ "frisian": "弗里斯蘭語",
198
+ "galician": "加利西亞語",
199
+ "georgian": "格魯吉亞語",
200
+ "german": "德語",
201
+ "greek": "希臘語",
202
+ "guarani": "瓜拉尼語",
203
+ "gujarati": "古吉拉特語",
204
+ "haitian creole": "海地克里奧爾語",
205
+ "hausa": "豪薩語",
206
+ "hawaiian": "夏威夷語",
207
+ "hebrew": "希伯來語",
208
+ "hindi": "印地語",
209
+ "hmong": "苗語",
210
+ "hungarian": "匈牙利",
211
+ "icelandic": "冰島語",
212
+ "igbo": "伊格博語",
213
+ "ilocano": "伊洛卡諾語",
214
+ "indonesian": "印尼語",
215
+ "irish": "愛爾蘭語",
216
+ "italian": "意大利語",
217
+ "japanese": "日語",
218
+ "javanese": "爪哇語",
219
+ "kannada": "卡納達語",
220
+ "kazakh": "卡紮赫語",
221
+ "khmer": "高棉語",
222
+ "kinyarwanda": "盧旺達語",
223
+ "konkani": "孔卡尼語",
224
+ "korean": "韓語",
225
+ "krio": "克里奧爾語",
226
+ "kurdish (kurmanji)": "庫爾德語(庫爾曼吉方言)",
227
+ "kurdish (sorani)": "庫爾德語(索拉尼方言)",
228
+ "kyrgyz": "吉爾吉斯語",
229
+ "lao": "老撾語",
230
+ "latin": "拉丁語",
231
+ "latvian": "拉脫維亞語",
232
+ "lingala": "林加拉語",
233
+ "lithuanian": "立陶宛語",
234
+ "luganda": "盧幹達語",
235
+ "luxembourgish": "盧森堡語",
236
+ "macedonian": "馬其頓語",
237
+ "maithili": "邁蒂利語",
238
+ "malagasy": "馬達加斯加語",
239
+ "malay": "馬來語",
240
+ "malayalam": "馬拉雅拉姆語",
241
+ "maltese": "馬耳他語",
242
+ "maori": "毛利語",
243
+ "marathi": "馬拉地語",
244
+ "meiteilon (manipuri)": "曼尼普爾語",
245
+ "mizo": "米佐語",
246
+ "mongolian": "蒙古語",
247
+ "myanmar": "緬甸語",
248
+ "myanmar (burmese)": "柬埔寨語",
249
+ "nepali": "尼泊爾語",
250
+ "norwegian": "挪威語",
251
+ "odia (oriya)": "奧里亞語",
252
+ "odia": "奧迪亞語",
253
+ "oromo": "奧羅莫語",
254
+ "pashto": "普什圖語",
255
+ "persian": "波斯語",
256
+ "polish": "波蘭語",
257
+ "portuguese": "葡萄牙語",
258
+ "punjabi": "旁遮普語",
259
+ "quechua": "蓋丘亞語",
260
+ "romanian": "羅馬尼亞語",
261
+ "russian": "俄語",
262
+ "samoan": "薩摩亞語",
263
+ "sanskrit": "梵文",
264
+ "scots gaelic": "蘇格蘭蓋爾語",
265
+ "sepedi": "塞佩蒂語",
266
+ "serbian": "塞爾維亞語",
267
+ "sesotho": "塞索托語",
268
+ "shona": "紹納語",
269
+ "sindhi": "信德語",
270
+ "sinhala": "僧伽羅語",
271
+ "slovak": "斯洛伐克語",
272
+ "slovenian": "斯洛文尼亞語",
273
+ "somali": "索馬里語",
274
+ "spanish": "西班牙文",
275
+ "sundanese": "蘇丹麥語",
276
+ "swahili": "斯瓦希里語",
277
+ "swedish": "瑞典語",
278
+ "tajik": "塔吉克語",
279
+ "tamil": "泰米爾語",
280
+ "tatar": "韃靼語",
281
+ "telugu": "泰盧固語",
282
+ "thai": "泰語",
283
+ "tigrinya": "提格里尼亞語",
284
+ "tsonga": "聰加語",
285
+ "turkish": "土耳其語",
286
+ "turkmen": "土庫曼語",
287
+ "twi": "特維語",
288
+ "ukrainian": "烏克蘭語",
289
+ "urdu": "烏爾都語",
290
+ "uyghur": "維吾爾語",
291
+ "uzbek": "烏茲別克語",
292
+ "vietnamese": "越南語",
293
+ "welsh": "威爾士語",
294
+ "xhosa": "科薩語",
295
+ "yiddish": "意第緒語",
296
+ "yoruba": "約魯巴語",
297
+ "zulu": "祖魯語",
298
+ "to_translate": "到",
299
+ "add_proxies": "增加代理",
300
+ "proxies": "代理",
301
+ "auth_data": "賬戶信息",
302
+ "service": "服務",
303
+ "BaiduTranslator [api-key]": "百度 [API]",
304
+ "ChatGptTranslator [api-key]": "ChatGPT [API]",
305
+ "DeeplTranslator": "DeepL",
306
+ "GoogleTranslator": "Google",
307
+ "GoogleTranslator [free]": "Google [免費]",
308
+ "LibreTranslator": "Libre",
309
+ "LibreTranslator [free or api_key]": "Libre [免費或API]",
310
+ "LingueeTranslator [word(s) only]": "Linguee [僅字詞]",
311
+ "LingueeTranslator [free - word(s) only]": "Linguee [免費-僅字詞]",
312
+ "MyMemoryTranslator": "MyMemory",
313
+ "MyMemoryTranslator [free]": "MyMemory [免費]",
314
+ "MicrosoftTranslator [api-key]": "微軟 [API]",
315
+ "PapagoTranslator [client_id, secret_key]": "Papago [用戶ID,密鑰]",
316
+ "PonsTranslator [word(s) only]": "Pons [僅字詞]",
317
+ "PonsTranslator [free - word(s) only]": "Pons [免費-僅字詞]",
318
+ "QcriTranslator [api-key]": "QCRI [API]",
319
+ "QcriTranslator [free or api-key]": "QCRI [免費或API]",
320
+ "YandexTranslator [api-key]": "Yandex [API]",
321
+ "text": "文本"
322
+ },
323
+ "outputs": {
324
+ "text": "文本",
325
+ "CONDITIONING": "條件",
326
+ "STRING": "字符串"
327
+ }
328
+ },
329
+ "TranslateTextNode": {
330
+ "title": "翻譯文本",
331
+ "widgets": {
332
+ "from_translate": "從",
333
+ "to_translate": "到",
334
+ "text": "文本"
335
+ },
336
+ "outputs": {
337
+ "text": "文本"
338
+ }
339
+ },
340
+ "DeepTranslatorTextNode": {
341
+ "title": "翻譯文本(進階)",
342
+ "inputs": {
343
+ "clip": "CLIP"
344
+ },
345
+ "widgets": {
346
+ "from_translate": "從",
347
+ "to_translate": "到",
348
+ "add_proxies": "增加proxies",
349
+ "proxies": "代理proxies",
350
+ "auth_data": "帳戶資訊",
351
+ "service": "服務",
352
+ "text": "文本",
353
+ "Show proxy": "顯示代理proxy",
354
+ "Hide proxy": "隱藏代理proxy",
355
+ "Show authorization": "顯示帳戶資訊",
356
+ "Hide authorization": "隱藏帳戶資訊"
357
+ },
358
+ "outputs": {
359
+ "text": "文本"
360
+ }
361
+ }
362
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/AnimateDiff.json ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "AnimateDiffLoader": {
3
+ "title": "アニメーション拡散ローダー",
4
+ "inputs": {
5
+ "model": "モデル",
6
+ "init_latent": "初期Latent"
7
+ },
8
+ "widgets": {
9
+ "model_name": "モデル名",
10
+ "width": "幅",
11
+ "height": "高さ",
12
+ "frame_number": "フレーム数"
13
+ },
14
+ "outputs": {
15
+ "MODEL": "モデル",
16
+ "LATENT": "Latent"
17
+ }
18
+ },
19
+ "AnimateDiffLoader_v2": {
20
+ "title": "アニメーション拡散ローダーv2",
21
+ "inputs": {
22
+ "model": "モデル",
23
+ "init_latent": "初期Latent"
24
+ },
25
+ "widgets": {
26
+ "model_name": "モデル名",
27
+ "frame_number": "フレーム数"
28
+ },
29
+ "outputs": {
30
+ "MODEL": "モデル",
31
+ "LATENT": "Latent"
32
+ }
33
+ },
34
+ "AnimateDiffUnload": {
35
+ "title": "アニメーション拡散のアンロード",
36
+ "inputs": {
37
+ "model": "モデル"
38
+ },
39
+ "outputs": {
40
+ "MODEL": "モデル"
41
+ }
42
+ },
43
+ "AnimateDiffCombine": {
44
+ "title": "GIFとして結合",
45
+ "inputs": {
46
+ "images": "画像"
47
+ },
48
+ "widgets": {
49
+ "frame_rate": "フレームレート",
50
+ "loop_count": "ループ回数",
51
+ "save_image": "画像を保存",
52
+ "Enabled": "はい",
53
+ "Disabled": "いいえ",
54
+ "filename_prefix": "ファイル名の接頭辞"
55
+ }
56
+ },
57
+ "AnimateDiffSampler": {
58
+ "title": "アニメーション拡散サンプラー",
59
+ "inputs": {
60
+ "motion_module": "モーションモジュール",
61
+ "model": "モデル",
62
+ "positive": "ポジティブ",
63
+ "negative": "ネガティブ",
64
+ "latent_image": "Latent"
65
+ },
66
+ "widgets": {
67
+ "inject_method": "インジェクト方式",
68
+ "default": "デフォルト",
69
+ "legacy": "旧バージョン",
70
+ "frame_number": "フレーム数",
71
+ "seed": "シード値",
72
+ "control_after_generate": "生成後の制御",
73
+ "fixed": "固定",
74
+ "increment": "増加",
75
+ "decrement": "減少",
76
+ "randomize": "ランダム",
77
+ "steps": "ステップ数",
78
+ "cfg": "CFG",
79
+ "sampler_name": "サンプラー名",
80
+ "scheduler": "スケジューラ",
81
+ "denoise": "ノイズ除去"
82
+ },
83
+ "outputs": {
84
+ "LATENT": "Latent"
85
+ }
86
+ }
87
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/BNK_TiledKSampler.json ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "BNK_TiledKSampler": {
3
+ "title": "Tiled K採樣器",
4
+ "inputs": {
5
+ "model": "模型",
6
+ "positive": "正面提示詞",
7
+ "negative": "負面提示詞",
8
+ "latent_image": "Latent"
9
+ },
10
+ "widgets": {
11
+ "seed": "種子",
12
+ "control_after_generate": "執行後",
13
+ "fixed": "固定",
14
+ "increment": "增加",
15
+ "decrement": "減少",
16
+ "randomize": "隨機",
17
+ "tile_width": "分塊寬度",
18
+ "tile_height": "分塊高度",
19
+ "tiling_strategy": "分塊策略",
20
+ "random": "隨機",
21
+ "padded": "分區",
22
+ "simple": "簡易",
23
+ "steps": "步數",
24
+ "cfg": "CFG",
25
+ "sampler_name": "採樣器",
26
+ "scheduler": "調度器",
27
+ "denoise": "降噪"
28
+ },
29
+ "outputs": {
30
+ "LATENT": "Latent"
31
+ }
32
+ },
33
+ "BNK_TiledKSamplerAdvanced": {
34
+ "title": "Tiled K採樣器(進階)",
35
+ "inputs": {
36
+ "model": "模型",
37
+ "positive": "正面提示詞",
38
+ "negative": "負面提示詞",
39
+ "latent_image": "Latent"
40
+ },
41
+ "widgets": {
42
+ "add_noise": "增加噪聲",
43
+ "noise_seed": "隨機種",
44
+ "control_after_generate": "執行後",
45
+ "fixed": "固定",
46
+ "increment": "增加",
47
+ "decrement": "減少",
48
+ "randomize": "隨機",
49
+ "tile_width": "分塊寬度",
50
+ "tile_height": "分塊高度",
51
+ "tiling_strategy": "分塊策略",
52
+ "random": "隨機",
53
+ "padded": "分區",
54
+ "simple": "簡易",
55
+ "steps": "步數",
56
+ "cfg": "CFG",
57
+ "sampler_name": "採樣器",
58
+ "scheduler": "調度器",
59
+ "start_at_step": "開始步數",
60
+ "end_at_step": "結束步數",
61
+ "return_with_leftover_noise": "返回噪聲",
62
+ "preview": "預覽圖象"
63
+ },
64
+ "outputs": {
65
+ "LATENT": "Latent"
66
+ }
67
+ }
68
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyLiterals.json ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "KepStringLiteral": {
3
+ "title": "字符串",
4
+ "widgets": {
5
+ "String": "字符串"
6
+ },
7
+ "outputs": {
8
+ "STRING": "字符串"
9
+ }
10
+ },
11
+ "Operation": {
12
+ "title": "操作",
13
+ "inputs": {
14
+ "A - Int": "A - 整数",
15
+ "A - Float": "A - 浮点",
16
+ "B - Int": "B - 整数",
17
+ "B - Float": "B - 浮点"
18
+ },
19
+ "widgets": {
20
+ "A Type": "A类型",
21
+ "B Type": "B类型",
22
+ "Operation": "操作"
23
+ },
24
+ "outputs": {
25
+ "INT": "整数",
26
+ "FLOAT": "浮点"
27
+ }
28
+ }
29
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyMath.json ADDED
@@ -0,0 +1,579 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "CM_BoolToInt": {
3
+ "title": "布尔到整数",
4
+ "inputs": {
5
+ "a": "A"
6
+ },
7
+ "outputs": {
8
+ "INT": "整数"
9
+ }
10
+ },
11
+ "CM_IntToBool": {
12
+ "title": "整数到布尔",
13
+ "inputs": {
14
+ "a": "A"
15
+ },
16
+ "outputs": {
17
+ "BOOL": "布尔"
18
+ }
19
+ },
20
+ "CM_IntToFloat": {
21
+ "title": "整数到浮点",
22
+ "inputs": {
23
+ "a": "A"
24
+ },
25
+ "outputs": {
26
+ "FLOAT": "浮点"
27
+ }
28
+ },
29
+ "CM_FloatToInt": {
30
+ "title": "浮点到整数",
31
+ "inputs": {
32
+ "a": "A"
33
+ },
34
+ "outputs": {
35
+ "INT": "整数"
36
+ }
37
+ },
38
+ "CM_IntToNumber": {
39
+ "title": "整数到数字",
40
+ "inputs": {
41
+ "a": "A"
42
+ },
43
+ "outputs": {
44
+ "NUMBER": "数字"
45
+ }
46
+ },
47
+ "CM_NumberToInt": {
48
+ "title": "数字到整数",
49
+ "inputs": {
50
+ "a": "A"
51
+ },
52
+ "outputs": {
53
+ "INT": "整数"
54
+ }
55
+ },
56
+ "CM_FloatToNumber": {
57
+ "title": "浮点到数字",
58
+ "inputs": {
59
+ "a": "A"
60
+ },
61
+ "outputs": {
62
+ "NUMBER": "数字"
63
+ }
64
+ },
65
+ "CM_NumberToFloat": {
66
+ "title": "数字到浮点",
67
+ "inputs": {
68
+ "a": "A"
69
+ },
70
+ "outputs": {
71
+ "FLOAT": "浮点"
72
+ }
73
+ },
74
+ "CM_ComposeVec2": {
75
+ "title": "编码Vec2",
76
+ "inputs": {
77
+ "x": "X",
78
+ "y": "Y"
79
+ },
80
+ "outputs": {
81
+ "VEC2": "Vec2"
82
+ }
83
+ },
84
+ "CM_BreakoutVec2": {
85
+ "title": "解码Vec2",
86
+ "inputs": {
87
+ "a": "Vec2"
88
+ },
89
+ "outputs": {
90
+ "FLOAT": "浮点"
91
+ }
92
+ },
93
+ "CM_ComposeVec3": {
94
+ "title": "编码Vec3",
95
+ "inputs": {
96
+ "x": "X",
97
+ "y": "Y",
98
+ "z": "Z"
99
+ },
100
+ "outputs": {
101
+ "VEC3": "Vec3"
102
+ }
103
+ },
104
+ "CM_BreakoutVec3": {
105
+ "title": "解码Vec3",
106
+ "inputs": {
107
+ "a": "Vec3"
108
+ },
109
+ "outputs": {
110
+ "FLOAT": "浮点"
111
+ }
112
+ },
113
+ "CM_ComposeVec4": {
114
+ "title": "编码Vec4",
115
+ "inputs": {
116
+ "x": "X",
117
+ "y": "Y",
118
+ "z": "Z",
119
+ "w": "W"
120
+ },
121
+ "outputs": {
122
+ "VEC4": "Vec4"
123
+ }
124
+ },
125
+ "CM_BreakoutVec4": {
126
+ "title": "解码Vec4",
127
+ "inputs": {
128
+ "a": "Vec4"
129
+ },
130
+ "outputs": {
131
+ "FLOAT": "浮点"
132
+ }
133
+ },
134
+
135
+
136
+
137
+ "CM_BoolUnaryOperation": {
138
+ "title": "布尔运算(单值)",
139
+ "inputs": {
140
+ "a": "A"
141
+ },
142
+ "widgets": {
143
+ "op": "操作"
144
+ },
145
+ "outputs": {
146
+ "BOOL": "布尔"
147
+ }
148
+ },
149
+ "CM_BoolBinaryOperation": {
150
+ "title": "布尔运算(双值)",
151
+ "inputs": {
152
+ "a": "A"
153
+ },
154
+ "widgets": {
155
+ "op": "操作"
156
+ },
157
+ "outputs": {
158
+ "BOOL": "布尔"
159
+ }
160
+ },
161
+ "CM_IntUnaryOperation": {
162
+ "title": "整数运算(单值)",
163
+ "widgets": {
164
+ "op": "操作",
165
+ "a": "A"
166
+ },
167
+ "outputs": {
168
+ "INT": "整数"
169
+ }
170
+ },
171
+ "CM_IntUnaryCondition": {
172
+ "title": "整数布尔运算(单值)",
173
+ "widgets": {
174
+ "op": "操作",
175
+ "a": "A"
176
+ },
177
+ "outputs": {
178
+ "BOOL": "布尔"
179
+ }
180
+ },
181
+ "CM_IntBinaryOperation": {
182
+ "title": "整数运算(双值)",
183
+ "widgets": {
184
+ "op": "操作",
185
+ "a": "A",
186
+ "b": "B"
187
+ },
188
+ "outputs": {
189
+ "INT": "整数"
190
+ }
191
+ },
192
+ "CM_IntBinaryCondition": {
193
+ "title": "整数布尔运算(双值)",
194
+ "widgets": {
195
+ "op": "操作",
196
+ "a": "A",
197
+ "b": "B"
198
+ },
199
+ "outputs": {
200
+ "BOOL": "布尔"
201
+ }
202
+ },
203
+ "CM_FloatUnaryOperation": {
204
+ "title": "浮点运算(单值)",
205
+ "widgets": {
206
+ "op": "操作",
207
+ "a": "A"
208
+ },
209
+ "outputs": {
210
+ "FLOAT": "浮点"
211
+ }
212
+ },
213
+ "CM_FloatUnaryCondition": {
214
+ "title": "浮点布尔运算(单值)",
215
+ "widgets": {
216
+ "op": "操作",
217
+ "a": "A"
218
+ },
219
+ "outputs": {
220
+ "BOOL": "布尔"
221
+ }
222
+ },
223
+ "CM_FloatBinaryOperation": {
224
+ "title": "浮点运算(双值)",
225
+ "widgets": {
226
+ "op": "操作",
227
+ "a": "A",
228
+ "b": "B"
229
+ },
230
+ "outputs": {
231
+ "FLOAT": "浮点"
232
+ }
233
+ },
234
+ "CM_FloatBinaryCondition": {
235
+ "title": "浮点布尔运算(双值)",
236
+ "widgets": {
237
+ "op": "操作",
238
+ "a": "A",
239
+ "b": "B"
240
+ },
241
+ "outputs": {
242
+ "BOOL": "布尔"
243
+ }
244
+ },
245
+ "CM_NumberUnaryOperation": {
246
+ "title": "数字运算(单值)",
247
+ "inputs": {
248
+ "a": "A"
249
+ },
250
+ "widgets": {
251
+ "op": "操作"
252
+ },
253
+ "outputs": {
254
+ "NUMBER": "数字"
255
+ }
256
+ },
257
+ "CM_NumberUnaryCondition": {
258
+ "title": "数字布尔运算(单值)",
259
+ "inputs": {
260
+ "a": "A"
261
+ },
262
+ "widgets": {
263
+ "op": "操作"
264
+ },
265
+ "outputs": {
266
+ "BOOL": "布尔"
267
+ }
268
+ },
269
+ "CM_NumberBinaryOperation": {
270
+ "title": "数字运算(双值)",
271
+ "inputs": {
272
+ "a": "A",
273
+ "b": "B"
274
+ },
275
+ "widgets": {
276
+ "op": "操作"
277
+ },
278
+ "outputs": {
279
+ "NUMBER": "数字"
280
+ }
281
+ },
282
+ "CM_NumberBinaryCondition": {
283
+ "title": "数字布尔运算(双值)",
284
+ "inputs": {
285
+ "a": "A",
286
+ "b": "B"
287
+ },
288
+ "widgets": {
289
+ "op": "操作"
290
+ },
291
+ "outputs": {
292
+ "BOOL": "布尔"
293
+ }
294
+ },
295
+ "CM_Vec2UnaryOperation": {
296
+ "title": "Vec2运算(单值)",
297
+ "inputs": {
298
+ "a": "A"
299
+ },
300
+ "widgets": {
301
+ "op": "操作"
302
+ },
303
+ "outputs": {
304
+ "VEC2": "Vec2"
305
+ }
306
+ },
307
+ "CM_Vec2UnaryCondition": {
308
+ "title": "Vec2布尔运算(单值)",
309
+ "inputs": {
310
+ "a": "A"
311
+ },
312
+ "widgets": {
313
+ "op": "操作"
314
+ },
315
+ "outputs": {
316
+ "BOOL": "布尔"
317
+ }
318
+ },
319
+ "CM_Vec2ToScalarUnaryOperation": {
320
+ "title": "Vec2到标量运算(单值)",
321
+ "inputs": {
322
+ "a": "A"
323
+ },
324
+ "widgets": {
325
+ "op": "操作"
326
+ },
327
+ "outputs": {
328
+ "FLOAT": "浮点"
329
+ }
330
+ },
331
+ "CM_Vec2BinaryOperation": {
332
+ "title": "Vec2运算(双值)",
333
+ "inputs": {
334
+ "a": "A",
335
+ "b": "A"
336
+ },
337
+ "widgets": {
338
+ "op": "操作"
339
+ },
340
+ "outputs": {
341
+ "VEC2": "Vec2"
342
+ }
343
+ },
344
+ "CM_Vec2BinaryCondition": {
345
+ "title": "Vec2布尔运算(双值)",
346
+ "inputs": {
347
+ "a": "A",
348
+ "b": "A"
349
+ },
350
+ "widgets": {
351
+ "op": "操作"
352
+ },
353
+ "outputs": {
354
+ "BOOL": "布尔"
355
+ }
356
+ },
357
+ "CM_Vec2ToScalarBinaryOperation": {
358
+ "title": "Vec2到标量运算(双值)",
359
+ "inputs": {
360
+ "a": "A",
361
+ "b": "A"
362
+ },
363
+ "widgets": {
364
+ "op": "操作"
365
+ },
366
+ "outputs": {
367
+ "FLOAT": "浮点"
368
+ }
369
+ },
370
+ "CM_Vec2ScalarOperation": {
371
+ "title": "Vec2标量运算",
372
+ "inputs": {
373
+ "a": "A"
374
+ },
375
+ "widgets": {
376
+ "op": "操作",
377
+ "b": "B操作"
378
+ },
379
+ "outputs": {
380
+ "FLOAT": "浮点"
381
+ }
382
+ },
383
+ "CM_Vec3UnaryOperation": {
384
+ "title": "Vec3运算(单值)",
385
+ "inputs": {
386
+ "a": "A"
387
+ },
388
+ "widgets": {
389
+ "op": "操作"
390
+ },
391
+ "outputs": {
392
+ "VEC3": "Vec3"
393
+ }
394
+ },
395
+ "CM_Vec3UnaryCondition": {
396
+ "title": "Vec3布尔运算(单值)",
397
+ "inputs": {
398
+ "a": "A"
399
+ },
400
+ "widgets": {
401
+ "op": "操作"
402
+ },
403
+ "outputs": {
404
+ "BOOL": "布尔"
405
+ }
406
+ },
407
+ "CM_Vec3ToScalarUnaryOperation": {
408
+ "title": "Vec3到标量运算(单值)",
409
+ "inputs": {
410
+ "a": "A"
411
+ },
412
+ "widgets": {
413
+ "op": "操作"
414
+ },
415
+ "outputs": {
416
+ "FLOAT": "浮点"
417
+ }
418
+ },
419
+ "CM_Vec3BinaryOperation": {
420
+ "title": "Vec3运算(双值)",
421
+ "inputs": {
422
+ "a": "A",
423
+ "b": "A"
424
+ },
425
+ "widgets": {
426
+ "op": "操作"
427
+ },
428
+ "outputs": {
429
+ "VEC3": "Vec3"
430
+ }
431
+ },
432
+ "CM_Vec3BinaryCondition": {
433
+ "title": "Vec3布尔运算(双值)",
434
+ "inputs": {
435
+ "a": "A",
436
+ "b": "A"
437
+ },
438
+ "widgets": {
439
+ "op": "操作"
440
+ },
441
+ "outputs": {
442
+ "BOOL": "布尔"
443
+ }
444
+ },
445
+ "CM_Vec3ToScalarBinaryOperation": {
446
+ "title": "Vec3到标量运算(双值)",
447
+ "inputs": {
448
+ "a": "A",
449
+ "b": "A"
450
+ },
451
+ "widgets": {
452
+ "op": "操作"
453
+ },
454
+ "outputs": {
455
+ "FLOAT": "浮点"
456
+ }
457
+ },
458
+ "CM_Vec3ScalarOperation": {
459
+ "title": "Vec3标量运算",
460
+ "inputs": {
461
+ "a": "A"
462
+ },
463
+ "widgets": {
464
+ "op": "操作",
465
+ "b": "B操作"
466
+ },
467
+ "outputs": {
468
+ "FLOAT": "浮点"
469
+ }
470
+ },
471
+ "CM_Vec4UnaryOperation": {
472
+ "title": "Vec4运算(单值)",
473
+ "inputs": {
474
+ "a": "A"
475
+ },
476
+ "widgets": {
477
+ "op": "操作"
478
+ },
479
+ "outputs": {
480
+ "VEC4": "Vec4"
481
+ }
482
+ },
483
+ "CM_Vec4UnaryCondition": {
484
+ "title": "Vec4布尔运算(单值)",
485
+ "inputs": {
486
+ "a": "A"
487
+ },
488
+ "widgets": {
489
+ "op": "操作"
490
+ },
491
+ "outputs": {
492
+ "BOOL": "布尔"
493
+ }
494
+ },
495
+ "CM_Vec4ToScalarUnaryOperation": {
496
+ "title": "Vec4到标量运算(单值)",
497
+ "inputs": {
498
+ "a": "A"
499
+ },
500
+ "widgets": {
501
+ "op": "操作"
502
+ },
503
+ "outputs": {
504
+ "FLOAT": "浮点"
505
+ }
506
+ },
507
+ "CM_Vec4BinaryOperation": {
508
+ "title": "Vec4运算(双值)",
509
+ "inputs": {
510
+ "a": "A",
511
+ "b": "A"
512
+ },
513
+ "widgets": {
514
+ "op": "操作"
515
+ },
516
+ "outputs": {
517
+ "VEC4": "Vec4"
518
+ }
519
+ },
520
+ "CM_Vec4BinaryCondition": {
521
+ "title": "Vec4布尔运算(双值)",
522
+ "inputs": {
523
+ "a": "A",
524
+ "b": "A"
525
+ },
526
+ "widgets": {
527
+ "op": "操作"
528
+ },
529
+ "outputs": {
530
+ "BOOL": "布尔"
531
+ }
532
+ },
533
+ "CM_Vec4ToScalarBinaryOperation": {
534
+ "title": "Vec4到标量运算(双值)",
535
+ "inputs": {
536
+ "a": "A",
537
+ "b": "A"
538
+ },
539
+ "widgets": {
540
+ "op": "操作"
541
+ },
542
+ "outputs": {
543
+ "FLOAT": "浮点"
544
+ }
545
+ },
546
+ "CM_Vec4ScalarOperation": {
547
+ "title": "Vec4标量运算",
548
+ "inputs": {
549
+ "a": "A"
550
+ },
551
+ "widgets": {
552
+ "op": "操作",
553
+ "b": "B操作"
554
+ },
555
+ "outputs": {
556
+ "FLOAT": "浮点"
557
+ }
558
+ },
559
+ "CM_SDXLResolution": {
560
+ "title": "SDXL分辨率",
561
+ "widgets": {
562
+ "resolution": "分辨率"
563
+ },
564
+ "outputs": {
565
+ "width": "宽度",
566
+ "height": "高度"
567
+ }
568
+ },
569
+ "CM_NearestSDXLResolution": {
570
+ "title": "最近SDXL分辨率",
571
+ "inputs": {
572
+ "image": "图像"
573
+ },
574
+ "outputs": {
575
+ "width": "宽度",
576
+ "height": "高度"
577
+ }
578
+ }
579
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-3D-MeshTool.json ADDED
@@ -0,0 +1,359 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "array-step": {
3
+ "title": "数组-步长",
4
+ "widgets": {
5
+ "start": "起始值",
6
+ "step": "步数",
7
+ "increment": "增量"
8
+ },
9
+ "outputs": {
10
+ "array": "数组"
11
+ }
12
+ },
13
+ "array-end-increment": {
14
+ "title": "数组-最终值-增量",
15
+ "widgets": {
16
+ "start": "起始值",
17
+ "end": "最终值",
18
+ "increment": "增量"
19
+ },
20
+ "outputs": {
21
+ "array": "数组"
22
+ }
23
+ },
24
+ "array-end-step": {
25
+ "title": "数组-最终值-步长",
26
+ "widgets": {
27
+ "start": "起始值",
28
+ "step": "步数",
29
+ "end": "最终值"
30
+ },
31
+ "outputs": {
32
+ "array": "数组"
33
+ }
34
+ },
35
+ "array-step-increment": {
36
+ "title": "数组-范围",
37
+ "widgets": {
38
+ "start": "起始值",
39
+ "step": "步数",
40
+ "increment": "增量"
41
+ },
42
+ "outputs": {
43
+ "array": "数组"
44
+ }
45
+ },
46
+ "string-to-array": {
47
+ "title": "字符串转数组",
48
+ "widgets": {
49
+ "string_input": "字符串",
50
+ "arrangement": "清理字符"
51
+ },
52
+ "outputs": {
53
+ "array": "数组"
54
+ }
55
+ },
56
+
57
+ "array-t": {
58
+ "title": "转置数组",
59
+ "inputs": {
60
+ "array_input": "数组"
61
+ },
62
+ "outputs": {
63
+ "array_output": "数组"
64
+ }
65
+ },
66
+ "array-number-to-angle": {
67
+ "title": "数组-数字转角度",
68
+ "inputs": {
69
+ "array_input": "数组",
70
+ "array": "数组"
71
+ },
72
+ "widgets": {
73
+ "half_angle": "半角"
74
+ },
75
+ "outputs": {
76
+ "array_angle": "数组(角度)"
77
+ }
78
+ },
79
+ "array-append": {
80
+ "title": "数组-拼接",
81
+ "inputs": {
82
+ "array_input": "数组",
83
+ "append_input": "拼接数组"
84
+ },
85
+ "outputs": {
86
+ "array_append": "拼接后的数组",
87
+ "array_input_surplus": "输入数组剩余",
88
+ "array_append_surplus": "拼接数组剩余"
89
+ }
90
+ },
91
+ "array-is-null": {
92
+ "title": "数组-是否为空",
93
+ "inputs": {
94
+ "array_input": "数组"
95
+ },
96
+ "outputs": {
97
+ "IsNull": "是"
98
+ }
99
+ },
100
+ "array-attribute": {
101
+ "title": "数组-属性",
102
+ "inputs": {
103
+ "array_input": "数组"
104
+ },
105
+ "outputs": {
106
+ "length": "长度",
107
+ "size":"大小",
108
+ "dimension":"维度"
109
+ }
110
+ },
111
+ "array-convert": {
112
+ "title": "数组-类型转换",
113
+ "inputs": {
114
+ "array_input": "数组"
115
+ },
116
+ "outputs": {
117
+ "array_int": "数组(整数)",
118
+ "array_abs": "数组(绝对值)",
119
+ "array_str": "数组(字符串)"
120
+ }
121
+ },
122
+ "array-select-element":{
123
+ "title": "数组-元素选择",
124
+ "inputs": {
125
+ "array_input": "数组"
126
+ },
127
+ "widgets": {
128
+ "index": "索引"
129
+ },
130
+ "outputs": {
131
+ "element_array": "选择的元素"
132
+ }
133
+ },
134
+
135
+ "Load_OBJ":{
136
+ "title": "加载OBJ",
137
+ "widgets": {
138
+ "mesh_file_path": "文件路径",
139
+ "reload": "重载"
140
+ },
141
+ "outputs": {
142
+ "mesh": "网格"
143
+ }
144
+ },
145
+ "Mesh_Data_Get":{
146
+ "title": "获取网格体数据",
147
+ "inputs": {
148
+ "mesh": "网格"
149
+ },
150
+ "outputs": {
151
+ "mesh": "网格",
152
+ "vertex" : "顶点",
153
+ "face": "面",
154
+ "Normal_vnfn": "法线-vnfn",
155
+ "UVs_vtft": "UV坐标-vtft",
156
+ "vertex_color": "顶点颜色",
157
+ "Texture_Diffuse": "贴图-漫反射",
158
+ "Texture_reflection": "贴图-反射"
159
+ }
160
+ },
161
+ "Mesh_Data_Set":{
162
+ "title": "修改网格体数据",
163
+ "inputs": {
164
+ "mesh": "网格",
165
+ "vertex" : "顶点",
166
+ "face": "面",
167
+ "Normal_vnfn": "法线-vnfn",
168
+ "UVs_vtft": "UV坐标-vtft",
169
+ "vertex_color": "顶点颜色",
170
+ "Texture_Diffuse": "贴图-漫反射",
171
+ "Texture_reflection": "贴图-反射",
172
+ "device": "设备"
173
+ },
174
+ "outputs": {
175
+ "mesh": "网格"
176
+ }
177
+ },
178
+ "Mesh_Data_Statistics":{
179
+ "title": "网格数据-统计",
180
+ "inputs": {
181
+ "mesh": "网格"
182
+ },
183
+ "outputs": {
184
+ "Output_Group": "输出组",
185
+ "vertex_num": "顶点数",
186
+ "face_num": "面数",
187
+ "Normal_true": "有法线",
188
+ "UVs_true": "有UVs",
189
+ "vertex_color_true": "有顶点色",
190
+ "Texture_Diffuse_true": "有漫反射贴图",
191
+ "Texture_reflection_true": "有反射贴图",
192
+ "mesh_device_true": "有设备信息",
193
+ "device": "设备"
194
+ }
195
+ },
196
+ "Mesh_Clean_Data":{
197
+ "title": "删除网格数据",
198
+ "inputs": {
199
+ "mesh": "网格"
200
+ },
201
+ "widgets": {
202
+ "normal": "法线",
203
+ "uv": "贴图坐标",
204
+ "vertex_color": "顶点色",
205
+ "texture_diffuse": "漫反射贴图",
206
+ "texture_reflection": "反射贴图"
207
+ },
208
+ "outputs": {
209
+ "mesh": "网格"
210
+ }
211
+ },
212
+ "ply_load": {
213
+ "title": "加载 PLY",
214
+ "widgets": {
215
+ "path": "路径"
216
+ },
217
+ "outputs": {
218
+ "gs_ply": "gs_ply"
219
+ }
220
+ },
221
+ "ply_save": {
222
+ "title": "保存 PLY",
223
+ "inputs": {
224
+ "gs_ply": "gs_ply"
225
+ },
226
+ "widgets": {
227
+ "save_path": "保存路径"
228
+ },
229
+ "outputs": {
230
+ "gs_ply": "gs_ply",
231
+ "save_path": "保存路径"
232
+ }
233
+ },
234
+
235
+ "array-to-camposes": {
236
+ "title": "数组转镜头姿态",
237
+ "inputs": {
238
+ "array_input": "数组"
239
+ },
240
+ "outputs": {
241
+ "CamPoses": "镜头姿态"
242
+ }
243
+ },
244
+
245
+ "Mesh_Optimization":{
246
+ "title": "网格优化",
247
+ "inputs": {
248
+ "mesh": "网格"
249
+ },
250
+ "widgets": {
251
+ "Optimization_to": "优化率",
252
+ "algorithm": "算法",
253
+ "remesh": "重构网格",
254
+ "optimalplacement": "平滑"
255
+ },
256
+ "outputs": {
257
+ "Mesh_Out": "网格",
258
+ "Face_Before": "优化前面数",
259
+ "Face_After": "优化后面数"
260
+ }
261
+ },
262
+ "Mesh_Cleanup":{
263
+ "title": "网格清理",
264
+ "inputs": {
265
+ "mesh": "网格"
266
+ },
267
+ "widgets": {
268
+ "Cleanup_block_nf": "清理小于此百分比的",
269
+ "Cleanup_block_sc": "清理小于此大小的",
270
+ "Merge_vertex_threshold":"合并顶点阈值",
271
+ "repair_face": "修复非流形面"
272
+ },
273
+ "outputs": {
274
+ "Mesh_Out": "网格",
275
+ "Face_Before": "优化前面数",
276
+ "Face_After": "优化后面数"
277
+ }
278
+ },
279
+ "Mesh_Subdivide":{
280
+ "title": "网格细分",
281
+ "inputs": {
282
+ "mesh": "网格"
283
+ },
284
+ "widgets": {
285
+ "repair_face":"修复非流形面",
286
+ "re_mesh": "重构网格",
287
+ "remesh_size": "重构面大小",
288
+ "remesh_iters": "重构迭代次数",
289
+ "Merge_vertex_threshold":"合并顶点阈值"
290
+ },
291
+ "outputs": {
292
+ "Mesh": "网格"
293
+ }
294
+ },
295
+
296
+
297
+ "UnwrapUV_xatlas":{
298
+ "title": "展开UV-xatlas",
299
+ "inputs": {
300
+ "mesh": "网格",
301
+ "UV_options": "UV设置"
302
+ },
303
+ "widgets": {
304
+ },
305
+ "outputs": {
306
+ "mesh": "网格",
307
+ "vmapping": "UV贴图"
308
+ }
309
+ },
310
+ "UV_options":{
311
+ "title": "UV设置",
312
+ "widgets": {
313
+ "fix_winding": "打包孤岛",
314
+ "max_boundary_length": "边界长度限制",
315
+ "max_chart_area": "最大面积限制",
316
+ "max_cost": "最大限制",
317
+ "max_iterations": "最大迭代次数",
318
+ "normal_deviation_weight": "法线偏差权重",
319
+ "normal_seam_weight": "法线缝合权重",
320
+ "roundness_weight": "圆度权重",
321
+ "straightness_weight": "直线度权重",
322
+ "texture_seam_weight": "贴图缝合权重"
323
+ },
324
+ "outputs": {
325
+ "UV_options": "UV设置"
326
+ }
327
+ },
328
+ "ply_normalize": {
329
+ "title": "规格化 PLY",
330
+ "inputs": {
331
+ "gs_ply": "gs_ply"
332
+ },
333
+ "widgets": {
334
+ "xyz_normalize": "规格化 XYZ",
335
+ "RGB_normalize": "规格化 RGB",
336
+ "opacity_transfer": "传递不透明",
337
+ "auto_PointSize": "自动点大小",
338
+ "PointSize_scale": "缩放点大小",
339
+ "R": "R",
340
+ "G": "G",
341
+ "B": "B"
342
+ },
343
+ "outputs": {
344
+ "gs_ply": "gs_ply"
345
+ }
346
+ },
347
+
348
+ "Auto_Normal":{
349
+ "title": "自动法线",
350
+ "inputs": {
351
+ "mesh": "网格"
352
+ },
353
+ "widgets": {
354
+ },
355
+ "outputs": {
356
+ "mesh": "网格"
357
+ }
358
+ }
359
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-3D-Pack.json ADDED
@@ -0,0 +1,557 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "[Comfy3D] Bake Texture To Mesh": {
3
+ "title": "烘焙纹理到网格",
4
+ "inputs": {
5
+ "reference_images": "参考图像",
6
+ "reference_masks": "参考遮罩",
7
+ "reference_orbit_camera_poses": "参考轨道相机姿势",
8
+ "mesh": "网格"
9
+ },
10
+ "widgets": {
11
+ "reference_orbit_camera_fovy": "参考轨道相机镜头",
12
+ "mesh_albedo_width": "网格反照率宽度",
13
+ "mesh_albedo_height": "网格反照率高度",
14
+ "training_iterations": "训练迭代次数",
15
+ "batch_size": "批次大小",
16
+ "texture_learning_rate": "纹理学习率",
17
+ "train_mesh_geometry": "训练几何网格",
18
+ "geometry_learning_rate": "几何学习率",
19
+ "ms_ssim_loss_weight": "MS-SSIM损失权重",
20
+ "force_cuda_rasterize": "强制光栅化CUDA"
21
+ },
22
+ "outputs": {
23
+ "trained_mesh": "网格",
24
+ "baked_texture": "纹理"
25
+ }
26
+ },
27
+ "[Comfy3D] CRM CCMs MVDiffusion Model": {
28
+ "title": "CRM CCMs MVDiffusion 模型",
29
+ "inputs": {
30
+ "crm_mvdiffusion_sampler": "CRM_MVDiffusion采样器",
31
+ "reference_image": "参考图像",
32
+ "reference_mask": "参考遮罩",
33
+ "multiview_images": "多视图"
34
+ },
35
+ "widgets": {
36
+ "prompt": "正面提示词",
37
+ "prompt_neg": "负面提示词",
38
+ "seed": "随机种",
39
+ "control_after_generate": "运行后操作",
40
+ "mv_guidance_scale": "MV引导系数",
41
+ "num_inference_steps": "推理步数"
42
+ },
43
+ "outputs": {
44
+ "multiview_CCMs": "CCMs多视图"
45
+ }
46
+ },
47
+ "[Comfy3D] CRM Images MVDiffusion Model": {
48
+ "title": "CRM 图像 MVDiffusion 模型",
49
+ "inputs": {
50
+ "crm_mvdiffusion_sampler": "CRM_MVDiffusion采样器",
51
+ "reference_image": "参考图像",
52
+ "reference_mask": "参考遮罩"
53
+ },
54
+ "widgets": {
55
+ "prompt": "正面提示词",
56
+ "prompt_neg": "负面提示词",
57
+ "seed": "随机种",
58
+ "control_after_generate": "运行后操作",
59
+ "mv_guidance_scale": "MV引导系数",
60
+ "num_inference_steps": "推理步数"
61
+ },
62
+ "outputs": {
63
+ "multiview_images": "多视图"
64
+ }
65
+ },
66
+ "[Comfy3D] Convert 3DGS to Mesh with NeRF and Marching Cubes": {
67
+ "title": "用NeRF和Marching Cubes将3DGS转换为网格",
68
+ "inputs": {
69
+ "gs_ply": "gs_ply"
70
+ },
71
+ "widgets": {
72
+ "gs_config": "高斯设置",
73
+ "force_cuda_rast": "强制光栅化CUDA"
74
+ },
75
+ "outputs": {
76
+ "mesh": "网格"
77
+ }
78
+ },
79
+ "[Comfy3D] Convolutional Reconstruction Model": {
80
+ "title": "卷积重构模型",
81
+ "inputs": {
82
+ "crm_model": "CRM模型",
83
+ "multiview_images": "多视图",
84
+ "multiview_CCMs": "CCMs多视图"
85
+ },
86
+ "outputs": {
87
+ "mesh": "网格"
88
+ }
89
+ },
90
+ "[Comfy3D] Deep Marching Tetrahedrons": {
91
+ "title": "深度行进四面体",
92
+ "inputs": {
93
+ "reference_points_cloud": "参考点云",
94
+ "reference_images": "参考图像",
95
+ "reference_masks": "参考遮罩"
96
+ },
97
+ "widgets": {
98
+ "training_iterations": "训练迭代次数",
99
+ "points_cloud_fitting_weight": "点云过滤权重",
100
+ "mesh_smoothing_weight": "网格平滑权重",
101
+ "chamfer_faces_sample_scale": "倒角面采样缩放",
102
+ "mesh_scale": "网格缩放",
103
+ "grid_resolution": "栅格分辨率",
104
+ "geometry_learning_rate": "几何学习率",
105
+ "positional_encoding_multires": "多位置编码",
106
+ "mlp_internal_dims": "mlp_internal_dims",
107
+ "mlp_hidden_layer_num": "mlp_hidden_layer_num"
108
+ },
109
+ "outputs": {
110
+ "trained_mesh": "网格"
111
+ }
112
+ },
113
+ "[Comfy3D] Fitting Mesh With Multiview Images": {
114
+ "title": "多视图适配网格",
115
+ "inputs": {
116
+ "reference_image": "参考图像",
117
+ "reference_mask": "参考遮罩",
118
+ "reference_orbit_camera_poses": "参考轨道相机姿势",
119
+ "mesh": "网格"
120
+ },
121
+ "widgets": {
122
+ "reference_orbit_camera_fovy": "参考轨道相机镜头",
123
+ "mesh_albedo_height": "网格反照率高度",
124
+ "mesh_albedo_width": "网格反照率宽度",
125
+ "training_iterations": "训练迭代次数",
126
+ "batch_size": "批次大小",
127
+ "texture_learning_rate": "纹理学习率",
128
+ "train_mesh_geometry": "训练几何网格",
129
+ "geometry_learning_rate": "几何学习率",
130
+ "ms_ssim_loss_weight": "MS-SSIM损失权重",
131
+ "remesh_after_n_iteration": "每N次迭代重映射网格",
132
+ "force_cuda_rasterize": "强制光栅化CUDA"
133
+ },
134
+ "outputs": {
135
+ "trained_mesh": "网格",
136
+ "baked_texture": "纹理"
137
+ }
138
+ },
139
+ "[Comfy3D] FlexiCubes MVS": {
140
+ "title": "FlexiCube MVS",
141
+ "inputs": {
142
+ "reference_depth_maps": "参考深度图像",
143
+ "reference_normal_maps": "参考法向图像",
144
+ "reference_masks": "参考遮罩",
145
+ "reference_orbit_camera_poses": "参考轨道相机姿势"
146
+ },
147
+ "widgets": {
148
+ "reference_orbit_camera_fovy": "参考轨道相机镜头",
149
+ "training_iterations": "训练迭代次数",
150
+ "batch_size": "批次大小",
151
+ "learning_rate": "学习率",
152
+ "voxel_grids_resolution": "体素栅格分辨率",
153
+ "depth_min_distance": "深度最小距离",
154
+ "depth_max_distance": "深度最大距离",
155
+ "mask_loss_weight": "遮罩损失权重",
156
+ "depth_loss_weight": "深度损失权重",
157
+ "normal_loss_weight": "法向损失权重",
158
+ "sdf_regularizer_weight": "sdf_regularizer_weight",
159
+ "remove_floaters_weight": "remove_floaters_weight",
160
+ "cube_stabilizer_weight": "cube_stabilizer_weight",
161
+ "force_cuda_rast": "强制光栅化CUDA"
162
+ },
163
+ "outputs": {
164
+ "mesh": "网格"
165
+ }
166
+ },
167
+ "[Comfy3D] Gaussian Splatting": {
168
+ "title": "高斯泼溅",
169
+ "inputs": {
170
+ "reference_images": "参考图像",
171
+ "reference_masks": "参考遮罩",
172
+ "reference_orbit_camera_poses": "参考轨道相机姿势",
173
+ "points_cloud_to_initialize_gaussian": "初始化高斯点云",
174
+ "ply_to_initialize_gaussian": "初始化gs_ply",
175
+ "mesh_to_initialize_gaussian": "初始化高斯网格"
176
+ },
177
+ "widgets": {
178
+ "reference_orbit_camera_fovy": "参考轨道相机镜头",
179
+ "training_iterations": "训练迭代次数",
180
+ "batch_size": "批次大小",
181
+ "ms_ssim_loss_weight": "MS-SSIM损失权重",
182
+ "alpha_loss_weight": "alpha损失权重",
183
+ "offset_loss_weight": "偏移损失权重",
184
+ "offset_opacity_loss_weight": "偏移不透明度损失权重",
185
+ "invert_background_probability": "反转背景概率",
186
+ "feature_learning_rate": "特征学习率",
187
+ "opacity_learning_rate": "不透明度学习率",
188
+ "scaling_learning_rate": "缩放学习率",
189
+ "rotation_learning_rate": "旋转学习率",
190
+ "position_learning_rate_init": "位置学习率初始",
191
+ "position_learning_rate_final": "位置学习率最终",
192
+ "position_learning_rate_delay_mult": "位置学习率延迟",
193
+ "position_learning_rate_max_steps": "位置学习率最大步数",
194
+ "initial_gaussians_num": "初始高斯数量",
195
+ "K_nearest_neighbors": "K邻近数量",
196
+ "percent_dense": "密度百分比",
197
+ "density_start_iterations": "密度初始迭代次数",
198
+ "density_end_iterations": "密度最终迭代次数",
199
+ "densification_interval": "稠化时间间隔",
200
+ "opacity_reset_interval": "不透明度重置间隔",
201
+ "densify_grad_threshold": "密度梯度阈值",
202
+ "gaussian_sh_degree": "gaussian_sh_degree"
203
+ },
204
+ "outputs": {
205
+ "gs_ply": "gs_ply"
206
+ }
207
+ },
208
+ "[Comfy3D] Instant NGP": {
209
+ "title": "Instant NGP",
210
+ "inputs": {
211
+ "reference_image": "参考图像",
212
+ "reference_mask": "参考遮罩",
213
+ "reference_orbit_camera_poses": "参考轨道相机姿势"
214
+ },
215
+ "widgets": {
216
+ "reference_orbit_camera_fovy": "参考轨道相机镜头",
217
+ "training_iterations": "训练迭代次数",
218
+ "training_resolution": "训练分辨率",
219
+ "marching_cude_threshold": "行进曲线阈值",
220
+ "marching_cude_grids_resolution": "行进曲线栅格分辨率",
221
+ "marching_cude_grids_batch_size": "行进曲线栅格批次大小",
222
+ "texture_resolution": "纹理分辨率",
223
+ "force_cuda_rast": "强制光栅化CUDA"
224
+ },
225
+ "outputs": {
226
+ "mesh": "网格"
227
+ }
228
+ },
229
+ "[Comfy3D] Large Multiview Gaussian Model": {
230
+ "title": "大型多视角高斯(LGM)模型",
231
+ "inputs": {
232
+ "multiview_images": "多视图",
233
+ "lgm_model": "LGM模型"
234
+ },
235
+ "outputs": {
236
+ "gs_ply": "gs_ply"
237
+ }
238
+ },
239
+ "[Comfy3D] MVDream Model": {
240
+ "title": "MVDream模型",
241
+ "inputs": {
242
+ "mvdream_pipe": "MVDream节点束",
243
+ "reference_image": "参考图像",
244
+ "reference_mask": "参考遮罩"
245
+ },
246
+ "widgets": {
247
+ "prompt": "提���词",
248
+ "prompt_neg": "负面提示词",
249
+ "seed": "随机种",
250
+ "control_after_generate": "运行后操作",
251
+ "mv_guidance_scale": "MV引导系数",
252
+ "num_inference_steps": "推理步数",
253
+ "elevation": "俯仰角"
254
+ },
255
+ "outputs": {
256
+ "multiview_images": "多视图"
257
+ }
258
+ },
259
+ "[Comfy3D] NeuS": {
260
+ "title": "NeuS",
261
+ "inputs": {
262
+ "reference_image": "参考图像",
263
+ "reference_mask": "参考遮罩",
264
+ "reference_normals": "参考法向图像"
265
+ },
266
+ "widgets": {
267
+ "training_iterations": "训练迭代次数",
268
+ "batch_size": "批次大小",
269
+ "learning_rate": "学习率",
270
+ "learning_rate_alpha": "学习率alpha",
271
+ "color_loss_weight": "颜色损失权重",
272
+ "mesh_smoothing_weight": "网格平滑权重",
273
+ "mask_loss_weight": "遮罩损失权重",
274
+ "normal_loss_weight": "法向损失权重",
275
+ "sparse_loss_weight": "稀疏损失权重",
276
+ "warm_up_end": "预热结束",
277
+ "anneal_end": "退火结束",
278
+ "use_white_background": "使用白背景",
279
+ "geometry_extract_resolution": "几何精确分辨率",
280
+ "marching_cude_threshold": "行进曲线阈值"
281
+ },
282
+ "outputs": {
283
+ "mesh": "网格"
284
+ }
285
+ },
286
+ "[Comfy3D] Triplane Gaussian Transformers": {
287
+ "title": "Triplane Gaussian Transformers (TGS)",
288
+ "inputs": {
289
+ "reference_image": "参考图像",
290
+ "reference_mask": "参考遮罩",
291
+ "tgs_model": "TGS模型"
292
+ },
293
+ "widgets": {
294
+ "cam_dist": "相机距离"
295
+ },
296
+ "outputs": {
297
+ "gs_ply": "gs_ply"
298
+ }
299
+ },
300
+ "[Comfy3D] TripoSR": {
301
+ "title": "TripoSR (TSR)",
302
+ "inputs": {
303
+ "tsr_model": "TSR模型",
304
+ "reference_image": "参考图像",
305
+ "reference_mask": "参考遮罩"
306
+ },
307
+ "widgets": {
308
+ "geometry_extract_resolution": "几何精确分辨率",
309
+ "marching_cude_threshold": "行进曲线阈值"
310
+ },
311
+ "outputs": {
312
+ "mesh": "网格"
313
+ }
314
+ },
315
+ "[Comfy3D] Wonder3D MVDiffusion Model": {
316
+ "title": "Wonder3D MVDiffusion 模型",
317
+ "inputs": {
318
+ "mvdiffusion_pipe": "MVDiffusion节点束",
319
+ "reference_image": "参考图像",
320
+ "reference_mask": "参考遮罩"
321
+ },
322
+ "widgets": {
323
+ "seed": "随机种",
324
+ "control_after_generate": "运行后操作",
325
+ "mv_guidance_scale": "MV引导系数",
326
+ "num_inference_steps": "推理步数"
327
+ },
328
+ "outputs": {
329
+ "multiview_images": "多视图",
330
+ "multiview_normals": "法向多视图"
331
+ }
332
+ },
333
+
334
+
335
+ "[Comfy3D] Convert 3DGS To Pointcloud": {
336
+ "title": "3DGS到点云",
337
+ "inputs": {
338
+ "gs_ply": "gs_ply"
339
+ },
340
+ "outputs": {
341
+ "points_cloud": "点云"
342
+ }
343
+ },
344
+ "[Comfy3D] Convert Mesh To Pointcloud": {
345
+ "title": "网格到点云",
346
+ "inputs": {
347
+ "mesh": "网格"
348
+ },
349
+ "outputs": {
350
+ "points_cloud": "点云"
351
+ }
352
+ },
353
+ "[Comfy3D] Gaussian Splatting Orbit Renderer": {
354
+ "title": "高斯泼溅轨道渲染器",
355
+ "inputs": {
356
+ "gs_ply": "gs_ply",
357
+ "render_orbit_camera_poses": "轨道相机姿势"
358
+ },
359
+ "widgets": {
360
+ "render_image_width": "宽度",
361
+ "render_iamge_height": "高度",
362
+ "render_orbit_camera_fovy": "轨道相机镜头",
363
+ "render_background_r": "背景R",
364
+ "render_background_g": "背景G",
365
+ "render_background_b": "背景B"
366
+ },
367
+ "outputs": {
368
+ "rendered_gs_images": "图像",
369
+ "rendered_gs_masks": "遮罩"
370
+ }
371
+ },
372
+ "[Comfy3D] Generate Orbit Camera Poses": {
373
+ "title": "生成轨道相机姿势",
374
+ "inputs": {
375
+ "reference_images": "参考图像"
376
+ },
377
+ "widgets": {
378
+ "generate_pose_commnad": "生成指令"
379
+ },
380
+ "outputs": {
381
+ "orbit_camposes": "轨道相机姿势"
382
+ }
383
+ },
384
+ "[Comfy3D] Stack Orbit Camera Poses": {
385
+ "title": "堆叠轨道相机姿势",
386
+ "widgets": {
387
+ "orbit_radius_start": "轨道半径起始",
388
+ "orbit_radius_stop": "轨道半径结束",
389
+ "orbit_radius_step": "轨道半径步长",
390
+ "elevation_start": "俯仰角起始",
391
+ "elevation_stop": "俯仰角结束",
392
+ "elevation_step": "俯仰角步长",
393
+ "azimuth_start": "方位角起始",
394
+ "azimuth_stop": "方位角结束",
395
+ "azimuth_step": "方位角步长",
396
+ "orbit_center_X_start": "轨道中心X起始",
397
+ "orbit_center_X_stop": "轨道中心X结束",
398
+ "orbit_center_X_step": "轨道中心X步长",
399
+ "orbit_center_Y_start": "轨道中心Y起始",
400
+ "orbit_center_Y_stop": "轨道中心Y结束",
401
+ "orbit_center_Y_step": "轨道中心Y步长",
402
+ "orbit_center_Z_start": "轨道中心Z起始",
403
+ "orbit_center_Z_stop": "轨道中心Z结束",
404
+ "orbit_center_Z_step": "轨道中心Z步长"
405
+ },
406
+ "outputs": {
407
+ "orbit_camposes": "轨道相机姿势",
408
+ "orbit_radius_list": "轨道半径列表",
409
+ "elevation_list": "俯仰角列表",
410
+ "azimuth_list": "方位角列表",
411
+ "orbit_center_X_list": "轨道中心X列表",
412
+ "orbit_center_Y_list": "轨道中心Y列表",
413
+ "orbit_center_Z_list": "轨道中心Z列表"
414
+ }
415
+ },
416
+ "[Comfy3D] Switch 3DGS Axis": {
417
+ "title" :"切换3DGS轴向",
418
+ "inputs": {
419
+ "gs_ply": "gs_ply"
420
+ },
421
+ "widgets": {
422
+ "axis_x_to": "轴向X到",
423
+ "axis_y_to": "轴向Y到",
424
+ "axis_z_to": "轴向Z到"
425
+ }
426
+ },
427
+ "[Comfy3D] Switch Mesh Axis": {
428
+ "title": "切换网格轴向",
429
+ "inputs": {
430
+ "mesh": "网格"
431
+ },
432
+ "widgets": {
433
+ "axis_x_to": "轴向X到",
434
+ "axis_y_to": "轴向Y到",
435
+ "axis_z_to": "轴向Z到"
436
+ }
437
+ },
438
+
439
+
440
+ "[Comfy3D] Load 3DGS": {
441
+ "title": "加载3DGS",
442
+ "widgets": {
443
+ "gs_file_path": "gs文件路径"
444
+ },
445
+ "outputs": {
446
+ "gs_ply": "gs_ply"
447
+ }
448
+ },
449
+ "[Comfy3D] Load 3D Mesh": {
450
+ "title": "加载3D网格",
451
+ "widgets": {
452
+ "mesh_file_path": "网格文件路径",
453
+ "resize": "重缩放",
454
+ "renormal": "重映射法向",
455
+ "retex": "重调纹理",
456
+ "optimizable": "可优化"
457
+ },
458
+ "outputs": {
459
+ "mesh": "网格"
460
+ }
461
+ },
462
+ "[Comfy3D] Load CRM MVDiffusion Model": {
463
+ "title": "加载CRM MVDiffusion模型",
464
+ "widgets": {
465
+ "model_name": "模型名称",
466
+ "crm_config_path": "CRM配置路径"
467
+ },
468
+ "outputs": {
469
+ "crm_mvdiffusion_sampler": "CRM_MVDiffusion采样器"
470
+ }
471
+ },
472
+ "[Comfy3D] Load Convolutional Reconstruction Model": {
473
+ "title": "加载卷积重构模型",
474
+ "widgets": {
475
+ "model_name": "模型名称"
476
+ },
477
+ "outputs": {
478
+ "crm_model": "CRM模型"
479
+ }
480
+ },
481
+ "[Comfy3D] Load Diffusers Pipeline": {
482
+ "title": "加载Diffusers管线",
483
+ "widgets": {
484
+ "diffusers_pipeline_name": "管线名称"
485
+ },
486
+ "outputs": {
487
+ "pipe": "节点束"
488
+ }
489
+ },
490
+ "[Comfy3D] Load Large Multiview Gaussian Model": {
491
+ "title": "加载大型多视图高斯(LGM)模型",
492
+ "widgets": {
493
+ "model_name": "模型名称",
494
+ "lgb_config": "lgb设置"
495
+ },
496
+ "outputs": {
497
+ "lgm_model": "LGM模型"
498
+ }
499
+ },
500
+ "[Comfy3D] Load Triplane Gaussian Transformers": {
501
+ "title": "加载Triplane Gaussian Transformers(TGS)模型",
502
+ "widgets": {
503
+ "model_name": "模型名称"
504
+ },
505
+ "outputs": {
506
+ "tgs_model": "TGS模型"
507
+ }
508
+ },
509
+ "[Comfy3D] Load TripoSR Model": {
510
+ "title": "加载TripoSR(TSR)模型",
511
+ "widgets": {
512
+ "model_name": "模型名称",
513
+ "chunk_size": "块大小"
514
+ },
515
+ "outputs": {
516
+ "tsr_model": "TSR模型"
517
+ }
518
+ },
519
+ "[Comfy3D] Save 3DGS": {
520
+ "title": "保存3DGS",
521
+ "inputs": {
522
+ "gs_ply": "gs_ply"
523
+ },
524
+ "widgets": {
525
+ "save_path": "保存路径"
526
+ },
527
+ "outputs": {
528
+ "save_path": "保存路径"
529
+ }
530
+ },
531
+ "[Comfy3D] Save 3D Mesh": {
532
+ "title": "保存3D网格",
533
+ "inputs": {
534
+ "mesh": "网格"
535
+ },
536
+ "widgets": {
537
+ "save_path": "保存路径"
538
+ },
539
+ "outputs": {
540
+ "save_path": "保存路径"
541
+ }
542
+ },
543
+
544
+
545
+ "[Comfy3D] Preview 3DGS": {
546
+ "title": "预览3DGS",
547
+ "widgets": {
548
+ "gs_file_path": "gs文件路径"
549
+ }
550
+ },
551
+ "[Comfy3D] Preview 3DMesh": {
552
+ "title": "预览3D网格",
553
+ "widgets": {
554
+ "mesh_file_path": "网格文件路径"
555
+ }
556
+ }
557
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Advanced-ControlNet.json ADDED
@@ -0,0 +1,189 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "TimestepKeyframe": {
3
+ "title": "間隔關鍵幀",
4
+ "inputs": {
5
+ "control_net_weights": "ControlNet權重",
6
+ "t2i_adapter_weights": "T2I適配權重",
7
+ "latent_keyframe": "Latent關鍵幀",
8
+ "prev_timestep_keyframe": "間隔關鍵幀"
9
+ },
10
+ "widgets": {
11
+ "start_percent": "開始位置"
12
+ },
13
+ "outputs": {
14
+ "TIMESTEP_KEYFRAME": "間隔關鍵幀"
15
+ }
16
+ },
17
+ "LatentKeyframe": {
18
+ "title": "Latent關鍵幀",
19
+ "inputs": {
20
+ "prev_latent_keyframe": "Latent關鍵幀"
21
+ },
22
+ "widgets": {
23
+ "batch_index": "批次索引",
24
+ "strength": "強度"
25
+ },
26
+ "outputs": {
27
+ "LATENT_KEYFRAME": "Latent關鍵幀"
28
+ }
29
+ },
30
+ "LatentKeyframeGroup": {
31
+ "title": "Latent關鍵幀組",
32
+ "inputs": {
33
+ "prev_latent_keyframe": "Latent關鍵幀",
34
+ "latent_image_opt": "Latent"
35
+ },
36
+ "widgets": {
37
+ "index_strength": "索引強度"
38
+ },
39
+ "outputs": {
40
+ "LATENT_KEYFRAME": "Latent關鍵幀"
41
+ }
42
+ },
43
+ "LatentKeyframeTiming": {
44
+ "title": "Latent關鍵時間",
45
+ "inputs": {
46
+ "prev_latent_keyframe": "Latent關鍵幀"
47
+ },
48
+ "widgets": {
49
+ "batch_index_from": "批次索引從",
50
+ "batch_index_to": "批次索引到",
51
+ "strength_from": "強度從",
52
+ "strength_to": "強度到",
53
+ "interpolation": "插值方式",
54
+ "ease-in-out": "漸進漸出",
55
+ "ease-in": "漸進",
56
+ "ease-out": "漸出",
57
+ "linear": "線性",
58
+ "flip_weights": "翻轉權重"
59
+ },
60
+ "outputs": {
61
+ "LATENT_KEYFRAME": "Latent關鍵幀"
62
+ }
63
+ },
64
+
65
+ "ControlNetLoaderAdvanced": {
66
+ "title": "ControlNet載入器(進階)",
67
+ "inputs": {
68
+ "timestep_keyframe": "間隔關鍵幀"
69
+ },
70
+ "widgets": {
71
+ "control_net_name": "ControlNet名稱"
72
+ },
73
+ "outputs": {
74
+ "CONTROL_NET": "ControlNet"
75
+ }
76
+ },
77
+ "DiffControlNetLoaderAdvanced": {
78
+ "title": "DiffControlNet載入器(進階)",
79
+ "inputs": {
80
+ "model": "模型",
81
+ "timestep_keyframe": "間隔關鍵幀"
82
+ },
83
+ "widgets": {
84
+ "control_net_name": "ControlNet名稱"
85
+ },
86
+ "outputs": {
87
+ "CONTROL_NET": "ControlNet"
88
+ }
89
+ },
90
+
91
+ "ScaledSoftControlNetWeights": {
92
+ "title": "縮放柔和ControlNet權重",
93
+ "widgets": {
94
+ "base_multiplier": "係數",
95
+ "flip_weights": "翻轉權重"
96
+ },
97
+ "outputs": {
98
+ "CONTROL_NET_WEIGHTS": "ControlNet權重",
99
+ "TIMESTEP_KEYFRAME": "間隔關鍵幀"
100
+ }
101
+ },
102
+ "SoftControlNetWeights": {
103
+ "title": "柔和ControlNet權重",
104
+ "widgets": {
105
+ "weight_00": "權重00",
106
+ "weight_01": "權重01",
107
+ "weight_02": "權重02",
108
+ "weight_03": "權重03",
109
+ "weight_04": "權重04",
110
+ "weight_05": "權重05",
111
+ "weight_06": "權重06",
112
+ "weight_07": "權重07",
113
+ "weight_08": "權重08",
114
+ "weight_09": "權重09",
115
+ "weight_10": "權重10",
116
+ "weight_11": "權重11",
117
+ "weight_12": "權重12",
118
+ "flip_weights": "翻轉權重"
119
+ },
120
+ "outputs": {
121
+ "CONTROL_NET_WEIGHTS": "ControlNet權重",
122
+ "TIMESTEP_KEYFRAME": "間隔關鍵幀"
123
+ }
124
+ },
125
+ "CustomControlNetWeights": {
126
+ "title": "自定義ControlNet權重",
127
+ "widgets": {
128
+ "weight_00": "權重00",
129
+ "weight_01": "權重01",
130
+ "weight_02": "權重02",
131
+ "weight_03": "權重03",
132
+ "weight_04": "權重04",
133
+ "weight_05": "權重05",
134
+ "weight_06": "權重06",
135
+ "weight_07": "權重07",
136
+ "weight_08": "權重08",
137
+ "weight_09": "權重09",
138
+ "weight_10": "權重10",
139
+ "weight_11": "權重11",
140
+ "weight_12": "權重12",
141
+ "flip_weights": "翻轉權重"
142
+ },
143
+ "outputs": {
144
+ "CONTROL_NET_WEIGHTS": "ControlNet權重",
145
+ "TIMESTEP_KEYFRAME": "間隔關鍵幀"
146
+ }
147
+ },
148
+ "SoftT2IAdapterWeights": {
149
+ "title": "柔和T2I適配權重",
150
+ "widgets": {
151
+ "weight_00": "權重00",
152
+ "weight_01": "權重01",
153
+ "weight_02": "權重02",
154
+ "weight_03": "權重03",
155
+ "flip_weights": "翻轉權重"
156
+ },
157
+ "outputs": {
158
+ "T2I_ADAPTER_WEIGHTS": "T2I適配權重",
159
+ "TIMESTEP_KEYFRAME": "間隔關鍵幀"
160
+ }
161
+ },
162
+ "CustomT2IAdapterWeights": {
163
+ "title": "自定義T2I適配權重",
164
+ "widgets": {
165
+ "weight_00": "權重00",
166
+ "weight_01": "權重01",
167
+ "weight_02": "權重02",
168
+ "weight_03": "權重03",
169
+ "flip_weights": "翻轉權重"
170
+ },
171
+ "outputs": {
172
+ "T2I_ADAPTER_WEIGHTS": "T2I適配權重",
173
+ "TIMESTEP_KEYFRAME": "間隔關鍵幀"
174
+ }
175
+ },
176
+ "LoadImagesFromDirectory": {
177
+ "title": "從路徑載入圖像",
178
+ "widgets": {
179
+ "directory": "路徑",
180
+ "image_load_cap": "圖像載入上限",
181
+ "start_index": "初始索引"
182
+ },
183
+ "outputs": {
184
+ "IMAGE": "圖像",
185
+ "MASK": "遮罩",
186
+ "INT": "整數"
187
+ }
188
+ }
189
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-AdvancedLivePortrait.json ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "AdvancedLivePortrait": {
3
+ "title": "高级LivePortrait",
4
+ "inputs": {
5
+ "src_image": "图像",
6
+ "src_images": "图像",
7
+ "motion_link": "动态数据",
8
+ "driving_images": "参考图像"
9
+ },
10
+ "widgets": {
11
+ "retargeting_eyes": "眼部重定向",
12
+ "retargeting_mouth": "嘴部重定向",
13
+ "crop_factor": "应用区域系数",
14
+ "turn_on": "启用",
15
+ "command": "命令",
16
+ "tracking_src_vid": "追踪视频",
17
+ "animate_without_vid": "无视频动画"
18
+ },
19
+ "outputs": {
20
+ "image": "图像",
21
+ "images": "图像"
22
+ }
23
+ },
24
+ "ExpressionEditor": {
25
+ "title": "表情编辑器",
26
+ "inputs": {
27
+ "src_image": "图像",
28
+ "sample_image": "参考图像",
29
+ "motion_link": "动态数据",
30
+ "add_exp": "表情数据"
31
+ },
32
+ "widgets": {
33
+ "rotate_pitch": "头部俯仰",
34
+ "rotate_yaw": "头部旋转",
35
+ "rotate_roll": "头部倾斜",
36
+ "blink": "闭眼睁眼",
37
+ "eyebrow": "皱眉挑眉",
38
+ "wink": "眨眼",
39
+ "pupil_x": "瞳孔左右",
40
+ "pupil_y": "瞳孔上下",
41
+ "aaa": "发声aa",
42
+ "eee": "发声yi",
43
+ "woo": "发声ou",
44
+ "smile": "微笑",
45
+ "src_ratio": "原表情强度",
46
+ "sample_ratio": "参考表情强度",
47
+ "sample_parts": "参考部位",
48
+ "crop_factor": "应用区域系数"
49
+ },
50
+ "outputs": {
51
+ "image": "图像",
52
+ "motion_link": "动态数据",
53
+ "save_exp": "表情数据"
54
+ }
55
+ },
56
+ "LoadExpData": {
57
+ "title": "加载表情数据",
58
+ "widgets": {
59
+ "file_name": "文件名",
60
+ "ratio": "系数"
61
+ },
62
+ "outputs": {
63
+ "exp": "表情数据"
64
+ }
65
+ },
66
+ "SaveExpData": {
67
+ "title": "保存表情数据",
68
+ "inputs": {
69
+ "save_exp": "表情数据"
70
+ },
71
+ "widgets": {
72
+ "file_name": "文件名"
73
+ },
74
+ "outputs": {
75
+ "file_name": "文件名"
76
+ }
77
+ },
78
+ "ExpData": {
79
+ "title": "表情数据",
80
+ "inputs": {
81
+ "add_exp": "表情数据"
82
+ },
83
+ "outputs": {
84
+ "exp": "表情数据"
85
+ }
86
+ },
87
+ "PrintExpData:": {
88
+ "title": "输出表情数据",
89
+ "inputs": {
90
+ "exp": "表情数据"
91
+ },
92
+ "widgets": {
93
+ "cut_noise": "cut_noise"
94
+ },
95
+ "outputs": {
96
+ "exp": "表情数据"
97
+ }
98
+ }
99
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-AnimateAnyone-Evolved.json ADDED
@@ -0,0 +1,155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "[ComfyUI-3D] Load Pose Guider": {
3
+ "title": "加载姿态引导",
4
+ "widgets": {
5
+ "pose_guider_model_path": "模型路径"
6
+ },
7
+ "outputs": {
8
+ "pose_guider": "姿态引导"
9
+ }
10
+ },
11
+ "[ComfyUI-3D] Load UNet2D ConditionModel": {
12
+ "title": "加载UNet2D条件模型",
13
+ "widgets": {
14
+ "pretrained_base_unet_folder_path": "基础UNet路径",
15
+ "unet2d_model_path": "UNet2D模型路径"
16
+ },
17
+ "outputs": {
18
+ "unet2d": "UNet2D"
19
+ }
20
+ },
21
+ "[ComfyUI-3D] Load UNet3D ConditionModel": {
22
+ "title": "加载UNet3D条件模型",
23
+ "widgets": {
24
+ "pretrained_base_unet_folder_path": "基础UNet路径",
25
+ "unet3d_model_path": "UNet3D模型路径",
26
+ "motion_module_path": "MotionModule路径"
27
+ },
28
+ "outputs": {
29
+ "unet3d": "UNet3D"
30
+ }
31
+ },
32
+ "[ComfyUI-3D] Pose Guider Encode": {
33
+ "title": "姿态引导编码",
34
+ "inputs": {
35
+ "pose_guider": "姿态引导",
36
+ "pose_images": "姿态图像"
37
+ },
38
+ "outputs": {
39
+ "pose_latent": "姿态Latent"
40
+ }
41
+ },
42
+ "[ComfyUI-3D] Animate Anyone Sampler": {
43
+ "title": "AnimateAnyone采样器",
44
+ "inputs": {
45
+ "reference_unet": "参考UNet",
46
+ "denoising_unet": "降噪UNet",
47
+ "ref_image_latent": "参考Latent",
48
+ "clip_image_embeds": "参考图像",
49
+ "pose_latent": "姿态Latent"
50
+ },
51
+ "widgets": {
52
+ "seed": "随机种",
53
+ "control_after_generate": "运行后操作",
54
+ "steps": "步数",
55
+ "cfg" :"CFG",
56
+ "delta": "delta",
57
+ "context_frames": "上下文帧数",
58
+ "context_stride": "上下文步长",
59
+ "context_overlap": "上下文重叠",
60
+ "context_batch_size": "上下文批次大小",
61
+ "interpolation_factor": "插值系数",
62
+ "sampler_scheduler_pairs": "调度器",
63
+ "beta_start": "beta_start",
64
+ "beta_end": "bata_end",
65
+ "beta_schedule": "beta调度",
66
+ "prediction_type": "预测类型",
67
+ "timestep_spacing": "时间戳间隔",
68
+ "steps_offset": "步数偏移",
69
+ "clip_sample": "CLIP采样",
70
+ "rescale_betas_zero_snr": "beta规格化信噪比",
71
+ "use_lora": "使用LoRA",
72
+ "lora_name": "LoRA名称"
73
+ },
74
+ "outputs": {
75
+ "latent": "Latent"
76
+ }
77
+ },
78
+
79
+ "[AnimateAnyone] Load Pose Guider": {
80
+ "title": "加载姿态引导",
81
+ "widgets": {
82
+ "pose_guider_model_path": "模型路径"
83
+ },
84
+ "outputs": {
85
+ "pose_guider": "姿态引导"
86
+ }
87
+ },
88
+ "[AnimateAnyone] Load UNet2D ConditionModel": {
89
+ "title": "加载UNet2D条件模型",
90
+ "widgets": {
91
+ "pretrained_base_unet_folder_path": "基础UNet路径",
92
+ "unet2d_model_path": "UNet2D模型路径"
93
+ },
94
+ "outputs": {
95
+ "unet2d": "UNet2D"
96
+ }
97
+ },
98
+ "[AnimateAnyone] Load UNet3D ConditionModel": {
99
+ "title": "加载UNet3D条件模型",
100
+ "widgets": {
101
+ "pretrained_base_unet_folder_path": "基础UNet路径",
102
+ "unet3d_model_path": "UNet3D模型路径",
103
+ "motion_module_path": "MotionModule路径"
104
+ },
105
+ "outputs": {
106
+ "unet3d": "UNet3D"
107
+ }
108
+ },
109
+ "[AnimateAnyone] Pose Guider Encode": {
110
+ "title": "姿态引导编码",
111
+ "inputs": {
112
+ "pose_guider": "姿态引导",
113
+ "pose_images": "姿态图像"
114
+ },
115
+ "outputs": {
116
+ "pose_latent": "姿态Latent"
117
+ }
118
+ },
119
+ "[AnimateAnyone] Animate Anyone Sampler": {
120
+ "title": "AnimateAnyone采样器",
121
+ "inputs": {
122
+ "reference_unet": "参考UNet",
123
+ "denoising_unet": "降噪UNet",
124
+ "ref_image_latent": "参考Latent",
125
+ "clip_image_embeds": "参考图像",
126
+ "pose_latent": "姿态Latent"
127
+ },
128
+ "widgets": {
129
+ "seed": "随机种",
130
+ "control_after_generate": "运行后操作",
131
+ "steps": "步数",
132
+ "cfg" :"CFG",
133
+ "delta": "delta",
134
+ "context_frames": "上下文帧数",
135
+ "context_stride": "上下文步长",
136
+ "context_overlap": "上下文重叠",
137
+ "context_batch_size": "上下文批次大小",
138
+ "interpolation_factor": "插值系数",
139
+ "sampler_scheduler_pairs": "调度器",
140
+ "beta_start": "beta_start",
141
+ "beta_end": "bata_end",
142
+ "beta_schedule": "beta调度",
143
+ "prediction_type": "预测类型",
144
+ "timestep_spacing": "时间戳间隔",
145
+ "steps_offset": "步数偏移",
146
+ "clip_sample": "CLIP采样",
147
+ "rescale_betas_zero_snr": "beta规格化信噪比",
148
+ "use_lora": "使用LoRA",
149
+ "lora_name": "LoRA名称"
150
+ },
151
+ "outputs": {
152
+ "latent": "Latent"
153
+ }
154
+ }
155
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-AnimateDiff-Evolved.json ADDED
@@ -0,0 +1,1903 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "ADE_MultivalDynamic": {
3
+ "title": "多值",
4
+ "inputs": {
5
+ "mask_optional": "遮罩(可选)"
6
+ },
7
+ "widgets": {
8
+ "float_val": "浮点系数"
9
+ },
10
+ "outputs": {
11
+ "MULTIVAL": "多值"
12
+ }
13
+ },
14
+ "ADE_MultivalDynamicFloatInput": {
15
+ "title": "多值(浮点列表)",
16
+ "inputs": {
17
+ "mask_optional": "遮罩(可选)",
18
+ "float_val": "浮点"
19
+ },
20
+ "outputs": {
21
+ "MULTIVAL": "多值"
22
+ }
23
+ },
24
+ "ADE_MultivalDynamicFloats": {
25
+ "title": "多值(浮点组)",
26
+ "inputs": {
27
+ "floats": "浮点组",
28
+ "mask_optional": "遮罩(可选)"
29
+ },
30
+ "outputs": {
31
+ "MULTIVAL": "多值"
32
+ }
33
+ },
34
+ "ADE_MultivalScaledMask": {
35
+ "title": "多值缩放遮罩",
36
+ "inputs": {
37
+ "mask": "遮罩"
38
+ },
39
+ "widgets": {
40
+ "min_float_val": "最小浮点系数",
41
+ "max_float_val": "最大浮点系数",
42
+ "scaling": "缩放设置",
43
+ "absolute": "绝对",
44
+ "relative": "相对"
45
+ },
46
+ "outputs": {
47
+ "MULTIVAL": "多值"
48
+ }
49
+ },
50
+ "ADE_MultivalConvertToMask": {
51
+ "title": "多值转换为遮罩",
52
+ "inputs": {
53
+ "multival": "多值"
54
+ },
55
+ "outputs": {
56
+ "MASK": "遮罩"
57
+ }
58
+ },
59
+
60
+
61
+ "ADE_StandardStaticViewOptions": {
62
+ "title": "视图设置(标准静态)",
63
+ "widgets": {
64
+ "view_length": "视图长度",
65
+ "view_overlap": "视图重叠",
66
+ "fuse_method": "融合方法",
67
+ "pyramid": "金字塔",
68
+ "flat": "平面"
69
+ },
70
+ "outputs": {
71
+ "VIEW_OPTS": "视图设置"
72
+ }
73
+ },
74
+ "ADE_StandardUniformViewOptions": {
75
+ "title": "视图设置(标准统一)",
76
+ "widgets": {
77
+ "view_length": "视图长度",
78
+ "view_overlap": "视图重叠",
79
+ "view_stride": "视图步长",
80
+ "fuse_method": "融合方法"
81
+ },
82
+ "outputs": {
83
+ "VIEW_OPTS": "视图设置"
84
+ }
85
+ },
86
+ "ADE_LoopedUniformViewOptions": {
87
+ "title": "视图设置(循环统一)",
88
+ "widgets": {
89
+ "view_length": "视图长度",
90
+ "view_overlap": "视图重叠",
91
+ "view_stride": "视图步长",
92
+ "closed_loop": "闭合循环",
93
+ "fuse_method": "融合方法",
94
+ "use_on_equal_length": "仅相同时闭合"
95
+ },
96
+ "outputs": {
97
+ "VIEW_OPTS": "视图设置"
98
+ }
99
+ },
100
+
101
+
102
+ "ADE_VisualizeContextOptionsK": {
103
+ "title": "可视化上下文设置 K",
104
+ "inputs": {
105
+ "model": "模型",
106
+ "context_opts": "上下文设置"
107
+ },
108
+ "widgets": {
109
+ "sampler_name": "采样器",
110
+ "scheduler": "调度器",
111
+ "visual_width": "视图宽度",
112
+ "latents_length": "Latent长度",
113
+ "steps": "步数",
114
+ "denoise": "降噪"
115
+ },
116
+ "outputs": {
117
+ "IMAGE": "图像"
118
+ }
119
+ },
120
+ "ADE_VisualizeContextOptionsKAdv": {
121
+ "title": "可视化上下文设置 K.Adv",
122
+ "inputs": {
123
+ "model": "模型",
124
+ "context_opts": "上下文设置"
125
+ },
126
+ "widgets": {
127
+ "sampler_name": "采样器",
128
+ "scheduler": "调度器",
129
+ "visual_width": "视图宽度",
130
+ "latents_length": "Latent长度",
131
+ "steps": "步数",
132
+ "start_step": "开始步数",
133
+ "end_step": "结束步数"
134
+ },
135
+ "outputs": {
136
+ "IMAGE": "图像"
137
+ }
138
+ },
139
+ "ADE_VisualizeContextOptionsSCustom": {
140
+ "title": "可视化上下文设置 S.Cus",
141
+ "inputs": {
142
+ "model": "模型",
143
+ "context_opts": "上下文设置",
144
+ "sigmas": "Sigmas"
145
+ },
146
+ "widgets": {
147
+ "visual_width": "视图宽度",
148
+ "latents_length": "Latent长度"
149
+ },
150
+ "outputs": {
151
+ "IMAGE": "图像"
152
+ }
153
+ },
154
+
155
+
156
+ "ADE_StandardStaticContextOptions": {
157
+ "title": "上下文设置(标准静态)",
158
+ "inputs": {
159
+ "prev_context": "前上下文",
160
+ "view_opts": "视图设置"
161
+ },
162
+ "widgets": {
163
+ "context_length": "上下文长度",
164
+ "context_overlap": "上下文重叠",
165
+ "fuse_method": "融合方法",
166
+ "use_on_equal_length": "仅相同时闭合",
167
+ "start_percent": "开始位置",
168
+ "guarantee_steps": "最小采样步数"
169
+ },
170
+ "outputs": {
171
+ "CONTEXT_OPTS": "上下文设置"
172
+ }
173
+ },
174
+ "ADE_StandardUniformContextOptions": {
175
+ "title": "上下文设置(标准统一)",
176
+ "inputs": {
177
+ "prev_context": "前上下文",
178
+ "view_opts": "视图设置"
179
+ },
180
+ "widgets": {
181
+ "context_length": "上下文长度",
182
+ "context_overlap": "上下文重叠",
183
+ "context_stride": "上下文步长",
184
+ "fuse_method": "融合方法",
185
+ "use_on_equal_length": "仅相同时闭合",
186
+ "start_percent": "开始位置",
187
+ "guarantee_steps": "最小采样步数"
188
+ },
189
+ "outputs": {
190
+ "CONTEXT_OPTS": "上下文设置"
191
+ }
192
+ },
193
+ "ADE_LoopedUniformContextOptions": {
194
+ "title": "上下文设置(循环统一)",
195
+ "inputs": {
196
+ "prev_context": "前上下文",
197
+ "view_opts": "视图设置"
198
+ },
199
+ "widgets": {
200
+ "context_length": "上下文长度",
201
+ "context_overlap": "上下文重叠",
202
+ "context_stride": "上下文步长",
203
+ "closed_loop": "闭合循环",
204
+ "fuse_method": "融合方法",
205
+ "use_on_equal_length": "仅相同时闭合",
206
+ "start_percent": "开始位置",
207
+ "guarantee_steps": "最小采样步数"
208
+ },
209
+ "outputs": {
210
+ "CONTEXT_OPTS": "上下文设置"
211
+ }
212
+ },
213
+ "ADE_ViewsOnlyContextOptions": {
214
+ "title": "上下文设置(仅视图)[VRAM警告]",
215
+ "inputs": {
216
+ "view_opts_req": "视图设置",
217
+ "prev_context": "前上下文"
218
+ },
219
+ "widgets": {
220
+ "start_percent": "开始位置",
221
+ "guarantee_steps": "最小采样步数"
222
+ },
223
+ "outputs": {
224
+ "CONTEXT_OPTS": "上下文设置"
225
+ }
226
+ },
227
+ "ADE_BatchedContextOptions": {
228
+ "title": "上下文设置(批次)",
229
+ "inputs": {
230
+ "prev_context": "前上下文"
231
+ },
232
+ "widgets": {
233
+ "context_length": "上下文长度",
234
+ "start_percent": "开始位置",
235
+ "guarantee_steps": "最小采样步数"
236
+ }
237
+ },
238
+
239
+
240
+ "ADE_IterationOptsDefault": {
241
+ "title": "迭代设置(默认)",
242
+ "widgets": {
243
+ "iterations": "迭代次数",
244
+ "iter_batch_offset": "迭代批次偏移",
245
+ "iter_seed_offset": "迭代随机种偏移"
246
+ },
247
+ "outputs": {
248
+ "ITERATION_OPTS": "迭代设置"
249
+ }
250
+ },
251
+ "ADE_IterationOptsFreeInit": {
252
+ "title": "迭代设置",
253
+ "widgets": {
254
+ "iterations": "迭代次数",
255
+ "filter": "滤波器",
256
+ "d_s": "空间停止频率",
257
+ "d_t": "时间停止频率",
258
+ "n_butterworth": "Butterworth阶数",
259
+ "sigma_step": "Sigma步数",
260
+ "apply_to_1st_iter": "应用至第1次迭代",
261
+ "init_type": "初始化类型",
262
+ "iter_batch_offset": "迭代批次偏移",
263
+ "iter_seed_offset": "迭代随机种偏移"
264
+ },
265
+ "outputs": {
266
+ "ITERATION_OPTS": "迭代设置"
267
+ }
268
+ },
269
+
270
+
271
+ "ADE_NoiseLayerAdd": {
272
+ "title": "噪波层(添加)",
273
+ "inputs": {
274
+ "prev_noise_layers": "前噪波层",
275
+ "mask_optional": "遮罩",
276
+ "seed_override": "随机种"
277
+ },
278
+ "widgets": {
279
+ "batch_offset": "批次偏移",
280
+ "noise_type": "噪波类型",
281
+ "seed_gen_override": "随机种生成",
282
+ "use existing": "使用当前",
283
+ "comfy": "Comfy",
284
+ "auto1111": "Auto1111",
285
+ "seed_offset": "随机种偏移",
286
+ "noise_weight": "噪波权重"
287
+ },
288
+ "outputs": {
289
+ "NOISE_LAYERS": "噪波层"
290
+ }
291
+ },
292
+ "ADE_NoiseLayerAddWeighted": {
293
+ "title": "噪波层(添加权重)",
294
+ "inputs": {
295
+ "prev_noise_layers": "前噪波层",
296
+ "mask_optional": "遮罩",
297
+ "seed_override": "随机种"
298
+ },
299
+ "widgets": {
300
+ "batch_offset": "批次偏移",
301
+ "noise_type": "噪波类型",
302
+ "seed_gen_override": "随机种生成",
303
+ "use existing": "使用当前",
304
+ "comfy": "Comfy",
305
+ "auto1111": "Auto1111",
306
+ "seed_offset": "随机种偏移",
307
+ "noise_weight": "噪波权重",
308
+ "balance_multiplier": "平衡倍数"
309
+ },
310
+ "outputs": {
311
+ "NOISE_LAYERS": "噪波层"
312
+ }
313
+ },
314
+ "ADE_NoiseLayerReplace": {
315
+ "title": "噪波层(替换)",
316
+ "inputs": {
317
+ "prev_noise_layers": "前噪波层",
318
+ "mask_optional": "遮罩",
319
+ "seed_override": "随机种"
320
+ },
321
+ "widgets": {
322
+ "batch_offset": "批次偏移",
323
+ "noise_type": "噪波类型",
324
+ "seed_gen_override": "随机种生成",
325
+ "use existing": "使用当前",
326
+ "comfy": "Comfy",
327
+ "auto1111": "Auto1111",
328
+ "seed_offset": "随机种偏移"
329
+ },
330
+ "outputs": {
331
+ "NOISE_LAYERS": "噪波层"
332
+ }
333
+ },
334
+
335
+
336
+ "ADE_AdjustPESweetspotStretch": {
337
+ "title": "调整PE拉伸(sweetspot)",
338
+ "inputs": {
339
+ "prev_pe_adjust": "前PE设置"
340
+ },
341
+ "widgets": {
342
+ "sweetspot": "Sweetspot",
343
+ "new_sweetspot": "新Sweetspot",
344
+ "print_adjustment": "输出调整量"
345
+ },
346
+ "outputs": {
347
+ "PE_ADJUST": "PE设置"
348
+ }
349
+ },
350
+ "ADE_AdjustPEFullStretch": {
351
+ "title": "调整PE拉伸",
352
+ "inputs": {
353
+ "prev_pe_adjust": "前PE设置"
354
+ },
355
+ "widgets": {
356
+ "pe_stretch": "PE拉伸",
357
+ "print_adjustment": "输出调整量"
358
+ },
359
+ "outputs": {
360
+ "PE_ADJUST": "PE设置"
361
+ }
362
+ },
363
+ "ADE_AdjustPEManual": {
364
+ "title": "调整PE(手动)",
365
+ "inputs": {
366
+ "prev_pe_adjust": "前PE设置"
367
+ },
368
+ "widgets": {
369
+ "cap_initial_pe_length": "初始PE长度上限",
370
+ "interpolate_pe_to_length": "插入PE到长度",
371
+ "initial_pe_idx_offset": "初始PE索引偏移",
372
+ "final_pe_idx_offset": "最终PE索引偏移",
373
+ "print_adjustment": "输出调整量"
374
+ },
375
+ "outputs": {
376
+ "PE_ADJUST": "PE设置"
377
+ }
378
+ },
379
+
380
+
381
+ "ADE_AdjustWeightAllAdd": {
382
+ "title": "微调权重(全部-相加)",
383
+ "inputs": {
384
+ "prev_weight_adjust": "前权重微调"
385
+ },
386
+ "widgets": {
387
+ "all_ADD": "全部_相加",
388
+ "print_adjustment": "输出调整量"
389
+ },
390
+ "outputs": {
391
+ "WEIGHT_ADJUST": "权重微调"
392
+ }
393
+ },
394
+ "ADE_AdjustWeightAllMult": {
395
+ "title": "微调权重(全部-相乘)",
396
+ "inputs": {
397
+ "prev_weight_adjust": "前权重微调"
398
+ },
399
+ "widgets": {
400
+ "all_MULT": "全部_相乘",
401
+ "print_adjustment": "输出调整量"
402
+ },
403
+ "outputs": {
404
+ "WEIGHT_ADJUST": "权重微调"
405
+ }
406
+ },
407
+ "ADE_AdjustWeightIndivAdd": {
408
+ "title": "微调权重(独立-相加)",
409
+ "inputs": {
410
+ "prev_weight_adjust": "前权重微调"
411
+ },
412
+ "widgets": {
413
+ "pe_ADD": "PE_相加",
414
+ "attn_ADD": "关注层_相加",
415
+ "other_ADD": "其他_相加",
416
+ "print_adjustment": "输出调整量"
417
+ },
418
+ "outputs": {
419
+ "WEIGHT_ADJUST": "权重微调"
420
+ }
421
+ },
422
+ "ADE_AdjustWeightIndivMult": {
423
+ "title": "微调权重(独立-相乘)",
424
+ "inputs": {
425
+ "prev_weight_adjust": "前权重微调"
426
+ },
427
+ "widgets": {
428
+ "pe_MULT": "PE_相乘",
429
+ "attn_MULT": "关注层_相乘",
430
+ "other_MULT": "其他_相乘",
431
+ "print_adjustment": "输出调整量"
432
+ },
433
+ "outputs": {
434
+ "WEIGHT_ADJUST": "权重微调"
435
+ }
436
+ },
437
+ "ADE_AdjustWeightIndivAttnMult": {
438
+ "title": "微调权重(独立-关注层-相加)",
439
+ "inputs": {
440
+ "prev_weight_adjust": "前权重微调"
441
+ },
442
+ "widgets": {
443
+ "pe_ADD": "PE_相加",
444
+ "attn_ADD": "关注层_相加",
445
+ "attn_q_ADD": "关注层_q_相加",
446
+ "attn_k_ADD": "关注层_k_相加",
447
+ "attn_v_ADD": "关注层_v_相加",
448
+ "attn_out_weight_ADD": "attn_out_weight_ADD",
449
+ "attn_out_bias_ADD": "attn_out_bias_ADD",
450
+ "other_ADD": "其他_相加",
451
+ "print_adjustment": "输出调整量"
452
+ },
453
+ "outputs": {
454
+ "WEIGHT_ADJUST": "权重微调"
455
+ }
456
+ },
457
+ "ADE_AdjustWeightIndivAttnAdd": {
458
+ "title": "微调权重(独立-关注层-相乘)",
459
+ "inputs": {
460
+ "prev_weight_adjust": "前权重微调"
461
+ },
462
+ "widgets": {
463
+ "pe_ADD": "PE_相乘",
464
+ "attn_ADD": "关注层_相乘",
465
+ "attn_q_ADD": "关注层_q_相乘",
466
+ "attn_k_ADD": "关注层_k_相乘",
467
+ "attn_v_ADD": "关注层_v_相乘",
468
+ "attn_out_weight_ADD": "attn_out_weight_ADD",
469
+ "attn_out_bias_ADD": "attn_out_bias_ADD",
470
+ "other_ADD": "其他_相乘",
471
+ "print_adjustment": "输出调整量"
472
+ },
473
+ "outputs": {
474
+ "WEIGHT_ADJUST": "权重微调"
475
+ }
476
+ },
477
+
478
+
479
+ "ADE_SetLoraHookKeyframe": {
480
+ "title": "设置LoRA约束关键帧",
481
+ "inputs": {
482
+ "lora_hook": "LoRA约束",
483
+ "hook_kf": "约束关键帧"
484
+ },
485
+ "outputs": {
486
+ "LORA_HOOK": "LoRA约束"
487
+ }
488
+ },
489
+ "ADE_AttachLoraHookToCLIP": {
490
+ "title": "LoRA约束到CLIP",
491
+ "inputs": {
492
+ "clip": "CLIP",
493
+ "lora_hook": "LoRA约��"
494
+ },
495
+ "outputs": {
496
+ "hook_CLIP": "约束CLIP"
497
+ }
498
+ },
499
+ "ADE_TimestepsConditioning": {
500
+ "title": "时间戳条件",
501
+ "widgets": {
502
+ "start_percent": "开始位置",
503
+ "end_percent": "结束位置"
504
+ },
505
+ "outputs": {
506
+ "TIMESTEP_COND": "时间戳条件"
507
+ }
508
+ },
509
+
510
+
511
+ "ADE_ContextExtras_ContextRef_ModeFirst": {
512
+ "title": "ContextRef 模式 初始",
513
+ "outputs": {
514
+ "CONTEXTREF_MODE": "ContextRef 模式"
515
+ }
516
+ },
517
+ "ADE_ContextExtras_ContextRef_ModeSliding": {
518
+ "title": "ContextRef 模式 偏移",
519
+ "widgets": {
520
+ "sliding_width": "偏移宽度"
521
+ },
522
+ "outputs": {
523
+ "CONTEXTREF_MODE": "ContextRef 模式"
524
+ }
525
+ },
526
+ "ADE_ContextExtras_ContextRefMode_Indexes": {
527
+ "title": "ContextRef 模式 索引",
528
+ "widgets": {
529
+ "switch_on_idxs": "切换到索引",
530
+ "always_include_0": "包括0"
531
+ },
532
+ "outputs": {
533
+ "CONTEXTREF_MODE": "ContextRef 模式"
534
+ }
535
+ },
536
+ "ADE_ContextExtras_ContextRef_TuneAttn": {
537
+ "title": "ContextRef 微调 注意力",
538
+ "widgets": {
539
+ "attn_style_fidelity": "风格精确度",
540
+ "attn_ref_weight": "Ref权重",
541
+ "attn_strength": "强度"
542
+ },
543
+ "outputs": {
544
+ "CONTEXTREF_TUNE": "ContextRef 微调"
545
+ }
546
+ },
547
+ "ADE_ContextExtras_ContextRef_TuneAttnAdain": {
548
+ "title": "ContextRef 微调 注意力+Adain",
549
+ "widgets": {
550
+ "attn_style_fidelity": "风格精确度",
551
+ "attn_ref_weight": "Ref权重",
552
+ "attn_strength": "强度",
553
+ "adain_style_fidelity": "Adain 风格精确度",
554
+ "adain_ref_weight": "Adain Ref权重",
555
+ "adain_strength": "Adain 强度"
556
+ },
557
+ "outputs": {
558
+ "CONTEXTREF_TUNE": "ContextRef 微调"
559
+ }
560
+ },
561
+ "ADE_ContextExtras_ContextRef_Keyframe": {
562
+ "title": "ContextRef 关键帧",
563
+ "inputs": {
564
+ "prev_kf": "前关键帧",
565
+ "mult_multival": "多值",
566
+ "mode_replace": "覆盖模式",
567
+ "tune_replace":" 覆盖微调"
568
+ },
569
+ "widgets": {
570
+ "mult": "乘数",
571
+ "start_percent": "开始位置",
572
+ "guarantee_steps": "最小采样步数",
573
+ "inherit_missing": "缺失值自动继承"
574
+ },
575
+ "outputs": {
576
+ "CONTEXTREF_KF": "ContextRef 关键帧"
577
+ }
578
+ },
579
+ "ADE_ContextExtras_ContextRef_KeyframeInterpolation": {
580
+ "title": "ContextRef 关键帧插值",
581
+ "inputs": {
582
+ "prev_kf": "前关键帧",
583
+ "mult_multival": "多值",
584
+ "mode_replace": "覆盖模式",
585
+ "tune_replace": " 覆盖微调"
586
+ },
587
+ "widgets": {
588
+ "start_percent": "开始位置",
589
+ "end_percent": "结束位置",
590
+ "mult_start": "开始乘数",
591
+ "mult_end": "结束乘数",
592
+ "interpolation": "插值方式",
593
+ "intervals": "迭代次数",
594
+ "inherit_missing": "缺失值自动继承",
595
+ "print_keyframes": "输出关键帧到控制台"
596
+ },
597
+ "outputs": {
598
+ "CONTEXTREF_KF": "ContextRef 关键帧"
599
+ }
600
+ },
601
+ "ADE_ContextExtras_ContextRef_KeyframeFromList": {
602
+ "title": "ContextRef 列表到关键帧",
603
+ "inputs": {
604
+ "prev_kf": "前关键帧",
605
+ "mult_multival": "多值",
606
+ "mode_replace": "覆盖模式",
607
+ "tune_replace": " 覆盖微调",
608
+ "mults_float": "浮点"
609
+ },
610
+ "widgets": {
611
+ "start_percent": "开始位置",
612
+ "end_percent": "结束位置",
613
+ "inherit_missing": "缺失值自动继承",
614
+ "print_keyframes": "输出关键帧到控制台"
615
+ },
616
+ "outputs": {
617
+ "CONTEXTREF_KF": "ContextRef 关键帧"
618
+ }
619
+ },
620
+ "ADE_ContextExtras_NaiveReuse_Keyframe": {
621
+ "title": "NaiveReuse 关键帧",
622
+ "inputs": {
623
+ "prev_kf": "前关键帧",
624
+ "mult_multival": "多值"
625
+ },
626
+ "widgets": {
627
+ "mult": "乘数",
628
+ "start_percent": "开始位置",
629
+ "guarantee_steps": "最小采样步数",
630
+ "inherit_missing": "缺失值自动继承"
631
+ },
632
+ "outputs": {
633
+ "NAIVEREUSE_KF": "NaiveReuse 关键帧"
634
+ }
635
+ },
636
+ "ADE_ContextExtras_NaiveReuse_KeyframeInterpolation": {
637
+ "title": "NaiveReuse ",
638
+ "inputs": {
639
+ "prev_kf": "前关键帧",
640
+ "mult_multival": "多值"
641
+ },
642
+ "widgets": {
643
+ "start_percent": "开始位置",
644
+ "end_percent": "结束位置",
645
+ "mult_start": "开始乘数",
646
+ "mult_end": "结束乘数",
647
+ "interpolation": "���值方式",
648
+ "intervals": "迭代次数",
649
+ "inherit_missing": "缺失值自动继承",
650
+ "print_keyframes": "输出关键帧到控制台"
651
+ },
652
+ "outputs": {
653
+ "NAIVEREUSE_KF": "NaiveReuse 关键帧"
654
+ }
655
+ },
656
+ "ADE_ContextExtras_NaiveReuse_KeyframeFromList": {
657
+ "title": "NaiveReuse 列表到关键帧",
658
+ "inputs": {
659
+ "prev_kf": "前关键帧",
660
+ "mult_multival": "多值",
661
+ "mode_replace": "覆盖模式",
662
+ "tune_replace": " 覆盖微调",
663
+ "mults_float": "浮点"
664
+ },
665
+ "widgets": {
666
+ "start_percent": "开始位置",
667
+ "end_percent": "结束位置",
668
+ "inherit_missing": "缺失值自动继承",
669
+ "print_keyframes": "输出关键帧到控制台"
670
+ },
671
+ "outputs": {
672
+ "NAIVEREUSE_KF": "NaiveReuse 关键帧"
673
+ }
674
+ },
675
+
676
+
677
+ "ADE_ContextExtras_Set": {
678
+ "title": "上下文附加设置",
679
+ "inputs": {
680
+ "context_options": "上下文设置",
681
+ "context_extras": "上下文附加"
682
+ },
683
+ "outputs": {
684
+ "CONTEXT_OPTS": "上下文设置"
685
+ }
686
+ },
687
+ "ADE_ContextExtras_ContextRef": {
688
+ "title": "上下文附加 ContextRef",
689
+ "inputs": {
690
+ "prev_extras": "前附加组",
691
+ "strength_multival": "强度多值",
692
+ "contextref_mode": "ContextRef 模式",
693
+ "contextref_tune": "ContextRef 微调",
694
+ "contextref_kf": "ContextRef 关键帧"
695
+ },
696
+ "widgets": {
697
+ "start_percent": "开始位置",
698
+ "end_percent": "结束位置"
699
+ },
700
+ "outputs": {
701
+ "CONTEXT_EXTRAS": "上下文附加"
702
+ }
703
+ },
704
+ "ADE_ContextExtras_NaiveReuse": {
705
+ "title": "上下文附加 NaiveReuse",
706
+ "inputs": {
707
+ "prev_extras": "前附加组",
708
+ "strength_multival": "强度多值",
709
+ "naivereuse_kf": "NaiveReuse 关键帧"
710
+ },
711
+ "widgets": {
712
+ "start_percent": "开始位置",
713
+ "end_percent": "结束位置",
714
+ "weighted_mean": "权重平均"
715
+ },
716
+ "outputs": {
717
+ "CONTEXT_EXTRAS": "上下文附加"
718
+ }
719
+ },
720
+
721
+
722
+ "ADE_PairedConditioningSetUnmaskedAndCombine": {
723
+ "title": "条件对设置非遮罩并合并",
724
+ "inputs": {
725
+ "positive": "正面条件",
726
+ "negative": "负面条件",
727
+ "positive_DEFAULT": "正面条件_默认",
728
+ "negative_DEFAULT": "负面条件_默认",
729
+ "opt_lora_hook": "LoRA约束(可选)"
730
+ },
731
+ "outputs": {
732
+ "positive": "正面条件",
733
+ "negative": "负面条件"
734
+ }
735
+ },
736
+ "ADE_PairedConditioningSetMask": {
737
+ "title": "条件对设置遮罩",
738
+ "inputs": {
739
+ "positive_ADD": "正面条件_ADD",
740
+ "negative_ADD": "负面条件_ADD",
741
+ "opt_mask": "遮罩(可选)",
742
+ "opt_lora_hook": "LoRA约束(可选)",
743
+ "opt_timesteps": "时间戳(可选)"
744
+ },
745
+ "widgets": {
746
+ "strength": "强度",
747
+ "set_cond_area": "设置条件区域"
748
+ },
749
+ "outputs": {
750
+ "positive": "正面条件",
751
+ "negative": "负面条件"
752
+ }
753
+ },
754
+ "ADE_PairedConditioningSetMaskAndCombine": {
755
+ "title": "条件对设置遮罩合并",
756
+ "inputs": {
757
+ "positive": "正面条件",
758
+ "negative": "负面条件",
759
+ "positive_ADD": "正面条件_ADD",
760
+ "negative_ADD": "负面条件_ADD",
761
+ "opt_mask": "遮罩(可选)",
762
+ "opt_lora_hook": "LoRA约束(可选)",
763
+ "opt_timesteps": "时间戳(可选)"
764
+ },
765
+ "widgets": {
766
+ "strength": "强度",
767
+ "set_cond_area": "设置条件区域"
768
+ },
769
+ "outputs": {
770
+ "positive": "正面条件",
771
+ "negative": "负面条件"
772
+ }
773
+ },
774
+
775
+
776
+ "ADE_CombineLoraHooks": {
777
+ "title": "合并LoRA约束_2",
778
+ "inputs": {
779
+ "lora_hook_A": "LoRA约束_A",
780
+ "lora_hook_B": "LoRA约束_B"
781
+ },
782
+ "outputs": {
783
+ "LORA_HOOK": "LoRA约束"
784
+ }
785
+ },
786
+ "ADE_CombineLoraHooksFour": {
787
+ "title": "合并LoRA约束_4",
788
+ "inputs": {
789
+ "lora_hook_A": "LoRA约束_A",
790
+ "lora_hook_B": "LoRA约束_B",
791
+ "lora_hook_C": "LoRA约束_C",
792
+ "lora_hook_D": "LoRA约束_D"
793
+ },
794
+ "outputs": {
795
+ "LORA_HOOK": "LoRA约束"
796
+ }
797
+ },
798
+ "ADE_CombineLoraHooksEight": {
799
+ "title": "合并LoRA约束_8",
800
+ "inputs": {
801
+ "lora_hook_A": "LoRA约束_A",
802
+ "lora_hook_B": "LoRA约束_B",
803
+ "lora_hook_C": "LoRA约束_C",
804
+ "lora_hook_D": "LoRA约束_D",
805
+ "lora_hook_E": "LoRA约束_E",
806
+ "lora_hook_F": "LoRA约束_F",
807
+ "lora_hook_G": "LoRA约束_G",
808
+ "lora_hook_H": "LoRA约束_H"
809
+ },
810
+ "outputs": {
811
+ "LORA_HOOK": "LoRA约束"
812
+ }
813
+ },
814
+
815
+
816
+ "ADE_RegisterLoraHook": {
817
+ "title": "注册LoRA约束",
818
+ "inputs": {
819
+ "model": "模型",
820
+ "clip": "CLIP"
821
+ },
822
+ "widgets": {
823
+ "lora_name": "LoRA名称",
824
+ "strength_model": "模型强度",
825
+ "strength_clip": "CLIP强度"
826
+ },
827
+ "outputs": {
828
+ "MODEL": "模型",
829
+ "CLIP": "CLIP",
830
+ "LORA_HOOK": "LoRA约束"
831
+ }
832
+ },
833
+ "ADE_RegisterLoraHookModelOnly": {
834
+ "title": "注册LoRA约束(仅模型)",
835
+ "inputs": {
836
+ "model": "模型"
837
+ },
838
+ "widgets": {
839
+ "lora_name": "LoRA名称",
840
+ "strength_model": "模型强度"
841
+ },
842
+ "outputs": {
843
+ "MODEL": "模型",
844
+ "LORA_HOOK": "LoRA约束"
845
+ }
846
+ },
847
+ "ADE_RegisterModelAsLoraHook": {
848
+ "title": "注册模型为LoRA约束",
849
+ "inputs": {
850
+ "model": "模型",
851
+ "clip": "CLIP"
852
+ },
853
+ "widgets": {
854
+ "ckpt_name": "模型名称",
855
+ "strength_model": "模型强度",
856
+ "strength_clip": "CLIP强度"
857
+ },
858
+ "outputs": {
859
+ "MODEL": "模型",
860
+ "CLIP": "CLIP",
861
+ "LORA_HOOK": "LoRA约束"
862
+ }
863
+ },
864
+ "ADE_RegisterModelAsLoraHookModelOnly": {
865
+ "title": "注册模型为LoRA约束(仅模型)",
866
+ "inputs": {
867
+ "model": "模型"
868
+ },
869
+ "widgets": {
870
+ "ckpt_name": "模型名称",
871
+ "strength_model": "模型强度"
872
+ },
873
+ "outputs": {
874
+ "MODEL": "模型",
875
+ "LORA_HOOK": "LoRA约束"
876
+ }
877
+ },
878
+
879
+
880
+ "ADE_LoraHookKeyframe": {
881
+ "title": "LoRA约束关键帧",
882
+ "inputs": {
883
+ "prev_hook_kf": "前约束关键帧"
884
+ },
885
+ "widgets": {
886
+ "strength_model": "模型强度",
887
+ "start_percent": "开始位置",
888
+ "guarantee_steps": "最小采样步数"
889
+ },
890
+ "outputs": {
891
+ "HOOK_KF": "约束关键帧"
892
+ }
893
+ },
894
+ "ADE_LoraHookKeyframeInterpolation": {
895
+ "title": "LoRA约束关键帧(插帧)",
896
+ "inputs": {
897
+ "prev_hook_kf": "前约束关键帧"
898
+ },
899
+ "widgets": {
900
+ "start_percent": "开始位置",
901
+ "end_percent": "结束位置",
902
+ "strength_start": "起始强度",
903
+ "strength_end": "结束强度",
904
+ "interpolation": "插值方式",
905
+ "intervals": "迭代次数",
906
+ "print_keyframes": "输出关键帧到控制台"
907
+ },
908
+ "outputs": {
909
+ "HOOK_KF": "约束关键帧"
910
+ }
911
+ },
912
+ "ADE_LoraHookKeyframeFromStrengthList": {
913
+ "title": "LoRA约束关键帧(强度数列)",
914
+ "inputs": {
915
+ "prev_hook_kf": "前约束关键帧",
916
+ "strengths_float": "强度浮点"
917
+ },
918
+ "widgets": {
919
+ "start_percent": "开始位置",
920
+ "end_percent": "结束位置",
921
+ "print_keyframes": "输出关键帧到控制台"
922
+ },
923
+ "HOOK_KF": "约束关键帧"
924
+ },
925
+
926
+
927
+ "ADE_AttachLoraHookToConditioning": {
928
+ "title": "连结LoRA约束到条件",
929
+ "inputs": {
930
+ "conditioning": "条件",
931
+ "lora_hook": "LoRA约束"
932
+ },
933
+ "outputs": {
934
+ "CONDITIONING": "条件"
935
+ }
936
+ },
937
+ "ADE_ConditioningSetMask": {
938
+ "title": "条件设置遮罩",
939
+ "inputs": {
940
+ "cond_ADD": "条件_ADD",
941
+ "opt_mask": "遮罩(可选)",
942
+ "opt_lora_hook": "LoRA约束(可选)",
943
+ "opt_timesteps": "时间戳(可选)"
944
+ },
945
+ "widgets": {
946
+ "strength": "强度",
947
+ "set_cond_area": "设置条件区域"
948
+ },
949
+ "outputs": {
950
+ "CONDITIONING": "条件"
951
+ }
952
+ },
953
+ "ADE_ConditioningSetMaskAndCombine": {
954
+ "title": "条件设置遮罩",
955
+ "inputs": {
956
+ "cond": "条件",
957
+ "cond_ADD": "条件_ADD",
958
+ "opt_mask": "遮罩(可选)",
959
+ "opt_lora_hook": "LoRA约束(可选)",
960
+ "opt_timesteps": "时间戳(可选)"
961
+ },
962
+ "widgets": {
963
+ "strength": "强度",
964
+ "set_cond_area": "设置条件区域"
965
+ },
966
+ "outputs": {
967
+ "CONDITIONING": "条件"
968
+ }
969
+ },
970
+ "ADE_ConditioningSetUnmaskedAndCombine": {
971
+ "title": "条件设置非遮罩并合并",
972
+ "inputs": {
973
+ "cond": "条件",
974
+ "cond_DEFAULT": "条件_默认",
975
+ "opt_lora_hook": "LoRA约束(可选)"
976
+ },
977
+ "outputs": {
978
+ "CONDITIONING": "条件"
979
+ }
980
+ },
981
+ "ADE_ConditioningCombine": {
982
+ "title": "条件合并",
983
+ "inputs": {
984
+ "cond_A": "条件_A",
985
+ "cond_B": "条件_B"
986
+ },
987
+ "outputs": {
988
+ "CONDITIONING": "条件"
989
+ }
990
+ },
991
+
992
+
993
+ "ADE_AnimateDiffSettings": {
994
+ "title": "AnimateDiff设置",
995
+ "inputs": {
996
+ "pe_adjust": "PE设置",
997
+ "weight_adjust": "微调权重"
998
+ },
999
+ "outputs": {
1000
+ "AD_SETTINGS": "AD设置"
1001
+ }
1002
+ },
1003
+
1004
+
1005
+ "ADE_AnimateDiffUnload": {
1006
+ "title": "动态扩散卸载器",
1007
+ "inputs": {
1008
+ "model": "模型"
1009
+ },
1010
+ "outputs": {
1011
+ "MODEL": "模型"
1012
+ }
1013
+ },
1014
+ "ADE_EmptyLatentImageLarge": {
1015
+ "title": "空Latent(大型)",
1016
+ "widgets": {
1017
+ "width": "宽度",
1018
+ "height": "高度",
1019
+ "batch_size": "批次大小"
1020
+ },
1021
+ "outputs": {
1022
+ "LATENT": "Latent"
1023
+ }
1024
+ },
1025
+ "CheckpointLoaderSimpleWithNoiseSelect": {
1026
+ "title": "Checkpoint加载器(简易噪波)",
1027
+ "widgets": {
1028
+ "ckpt_name": "ckpt名称",
1029
+ "beta_schedule": "调度器",
1030
+ "use_custom_scale_factor": "使用自定缩放系数",
1031
+ "scale_factor": "缩放系数"
1032
+ },
1033
+ "outputs": {
1034
+ "MODEL": "模型",
1035
+ "CLIP": "CLIP",
1036
+ "VAE": "VAE"
1037
+ }
1038
+ },
1039
+ "ADE_PerturbedAttentionGuidanceMultival": {
1040
+ "title": "PAG注意力引导(多值)",
1041
+ "inputs": {
1042
+ "model": "模型",
1043
+ "scale_multival": "缩放多值"
1044
+ },
1045
+ "outputs": {
1046
+ "MODEL": "模型"
1047
+ }
1048
+ },
1049
+ "ADE_RescaleCFGMultival": {
1050
+ "title": "缩放CFG(多值)",
1051
+ "inputs": {
1052
+ "model": "模型",
1053
+ "scale_multival": "缩放多值"
1054
+ },
1055
+ "outputs": {
1056
+ "MODEL": "模型"
1057
+ }
1058
+ },
1059
+
1060
+
1061
+ "ADE_AnimateDiffLoaderGen1": {
1062
+ "title": "AnimateDiff加载器Gen1",
1063
+ "inputs": {
1064
+ "model": "模型",
1065
+ "context_options": "上下文设置",
1066
+ "motion_lora": "动态LoRA",
1067
+ "ad_settings": "AD设置",
1068
+ "ad_keyframes": "AD关键帧",
1069
+ "sample_settings": "采样设置",
1070
+ "scale_multival": "缩放多值",
1071
+ "effect_multival": "效果多值"
1072
+ },
1073
+ "widgets": {
1074
+ "model_name": "模型名称",
1075
+ "beta_schedule": "调度器"
1076
+ },
1077
+ "outputs": {
1078
+ "MODEL": "模型"
1079
+ }
1080
+ },
1081
+ "ADE_AnimateDiffLoaderWithContext": {
1082
+ "title": "动态扩散加载器",
1083
+ "inputs": {
1084
+ "model": "模型",
1085
+ "context_options": "上下文设置",
1086
+ "motion_lora": "动态LoRA",
1087
+ "motion_model_settings": "动态模型设置",
1088
+ "sample_settings": "采样设置",
1089
+ "ad_settings": "AD设置",
1090
+ "ad_keyframes": "AD关键帧"
1091
+ },
1092
+ "widgets": {
1093
+ "model_name": "模型名称",
1094
+ "beta_schedule": "调度器",
1095
+ "motion_scale": "动态缩放",
1096
+ "apply_v2_models_properly": "使用v2模型"
1097
+ },
1098
+ "outputs": {
1099
+ "MODEL": "模型"
1100
+ }
1101
+ },
1102
+
1103
+
1104
+ "ADE_InjectI2VIntoAnimateDiffModel": {
1105
+ "title": "插入I2V到AnimateDiff模型",
1106
+ "inputs": {
1107
+ "motion_model": "动态模型",
1108
+ "ad_settings": "AD设置"
1109
+ },
1110
+ "widgets": {
1111
+ "model_name": "模型名称"
1112
+ },
1113
+ "outputs": {
1114
+ "MOTION_MODEL": "动态模型"
1115
+ }
1116
+ },
1117
+
1118
+
1119
+ "ADE_ApplyAnimateDiffModelWithCameraCtrl": {
1120
+ "title": "应用镜头控制到AnimateDiff模型",
1121
+ "inputs": {
1122
+ "motion_model": "动态模型",
1123
+ "cameractrl_poses": "镜头控制姿态",
1124
+ "motion_lora": "动态LoRA",
1125
+ "scale_multival": "缩放多值",
1126
+ "effect_multival": "效果多值",
1127
+ "cameractrl_multival": "镜头控制多值",
1128
+ "ad_keyframes": "AD关键帧",
1129
+ "prev_m_models": "前动态模型组"
1130
+ },
1131
+ "widgets": {
1132
+ "start_percent": "开始位置",
1133
+ "end_percent": "结束位置"
1134
+ },
1135
+ "outputs": {
1136
+ "M_MODELS": "动态模型组"
1137
+ }
1138
+ },
1139
+ "ADE_LoadAnimateDiffModelWithCameraCtrl": {
1140
+ "title": "加载镜头控制与AnimateDiff模型",
1141
+ "inputs": {
1142
+ "ad_settings": "AD设置"
1143
+ },
1144
+ "widgets": {
1145
+ "model_name": "模型名称",
1146
+ "camera_ctrl": "镜头控制"
1147
+ },
1148
+ "outputs": {
1149
+ "MOTION_MODEL": "动态模型"
1150
+ }
1151
+ },
1152
+ "ADE_CameraCtrlAnimateDiffKeyframe": {
1153
+ "title": "镜头控制AnimateDiff关键帧",
1154
+ "inputs": {
1155
+ "prev_ad_keyframes": "前AD关键帧",
1156
+ "scale_multival": "缩放多值",
1157
+ "effect_multival": "效果多值",
1158
+ "cameractrl_multival": "镜头控制多值"
1159
+ },
1160
+ "widgets": {
1161
+ "start_percent": "开始位置",
1162
+ "inherit_missing": "缺失值自动继承",
1163
+ "guarantee_steps": "最小采样步数"
1164
+ },
1165
+ "outputs": {
1166
+ "AD_KEYFRAMES": "AD关键帧"
1167
+ }
1168
+ },
1169
+
1170
+
1171
+ "ADE_LoadCameraPoses": {
1172
+ "title": "加载镜头姿态",
1173
+ "widgets": {
1174
+ "pose_filename": "姿态文件名"
1175
+ },
1176
+ "outputs": {
1177
+ "CAMERACTRL_POSES": "镜头控制姿态"
1178
+ }
1179
+ },
1180
+ "ADE_LoadCameraPosesFromPath": {
1181
+ "title": "加载镜头姿态(路径)",
1182
+ "widgets": {
1183
+ "file_path": "文件路径"
1184
+ },
1185
+ "outputs": {
1186
+ "CAMERACTRL_POSES": "镜头控制姿态"
1187
+ }
1188
+ },
1189
+ "ADE_CameraPoseBasic": {
1190
+ "title": "镜头姿态",
1191
+ "inputs": {
1192
+ "prev_poses": "前姿态"
1193
+ },
1194
+ "widgets": {
1195
+ "motion_type": "动态类型",
1196
+ "speed": "速度",
1197
+ "frame_length": "帧长度"
1198
+ },
1199
+ "outputs": {
1200
+ "CAMERACTRL_POSES": "镜头控制姿态"
1201
+ }
1202
+ },
1203
+ "ADE_CameraPoseCombo": {
1204
+ "title": "镜头姿态连锁",
1205
+ "inputs": {
1206
+ "prev_poses": "前姿态"
1207
+ },
1208
+ "widgets": {
1209
+ "motion_type1": "动态类型_1",
1210
+ "motion_type2": "动态类型_2",
1211
+ "motion_type3": "动态类型_3",
1212
+ "motion_type4": "动态类型_4",
1213
+ "motion_type5": "动态类型_5",
1214
+ "motion_type6": "动态类型_6",
1215
+ "speed": "速度",
1216
+ "frame_length": "帧长度"
1217
+ },
1218
+ "outputs": {
1219
+ "CAMERACTRL_POSES": "镜头控制姿态"
1220
+ }
1221
+ },
1222
+ "ADE_CameraPoseAdvanced": {
1223
+ "title": "镜头姿态(高级)",
1224
+ "inputs": {
1225
+ "prev_poses": "前姿态"
1226
+ },
1227
+ "widgets": {
1228
+ "motion_type1": "动态类型_1",
1229
+ "motion_type2": "动态类型_2",
1230
+ "motion_type3": "动态类型_3",
1231
+ "motion_type4": "动态类型_4",
1232
+ "motion_type5": "动态类型_5",
1233
+ "motion_type6": "动态类型_6",
1234
+ "strength1": "强度_1",
1235
+ "strength2": "强度_2",
1236
+ "strength3": "强度_3",
1237
+ "strength4": "强度_4",
1238
+ "strength5": "强度_5",
1239
+ "strength6": "强度_6",
1240
+ "speed": "速度",
1241
+ "frame_length": "帧长度"
1242
+ },
1243
+ "outputs": {
1244
+ "CAMERACTRL_POSES": "镜头控制姿态"
1245
+ }
1246
+ },
1247
+ "ADE_CameraManualPoseAppend": {
1248
+ "title": "镜头姿态相加",
1249
+ "inputs": {
1250
+ "poses_first": "姿态_先",
1251
+ "poses_last": "姿态_后"
1252
+ },
1253
+ "outputs": {
1254
+ "CAMERACTRL_POSES": "镜头控制姿态"
1255
+ }
1256
+ },
1257
+ "ADE_ReplaceCameraParameters": {
1258
+ "title": "替换镜头参数",
1259
+ "inputs": {
1260
+ "poses": "姿态"
1261
+ },
1262
+ "widgets": {
1263
+ "fx": "fx",
1264
+ "fy": "fy",
1265
+ "cx": "cx",
1266
+ "cy": "cy"
1267
+ },
1268
+ "outputs": {
1269
+ "CAMERACTRL_POSES": "镜头控制姿态"
1270
+ }
1271
+ },
1272
+ "ADE_ReplaceOriginalPoseAspectRatio": {
1273
+ "title": "替换初始姿态宽高比",
1274
+ "inputs": {
1275
+ "poses": "姿态"
1276
+ },
1277
+ "widgets": {
1278
+ "orig_pose_width": "初始姿态宽度",
1279
+ "orig_pose_height": "初始姿态高度"
1280
+ },
1281
+ "outputs": {
1282
+ "CAMERACTRL_POSES": "镜头控制姿态"
1283
+ }
1284
+ },
1285
+
1286
+
1287
+ "ADE_ApplyAnimateLCMI2VModel": {
1288
+ "title": "应用AnimateLCM-I2V模型",
1289
+ "inputs": {
1290
+ "motion_model": "动态模型",
1291
+ "ref_latent": "参考Latent",
1292
+ "motion_lora": "动态LoRA",
1293
+ "scale_multival": "缩放多值",
1294
+ "effect_multival": "效果多值",
1295
+ "ad_keyframes": "AD关键帧",
1296
+ "prev_m_models": "前动态模型组"
1297
+ },
1298
+ "widgets": {
1299
+ "ref_drift": "ref_drift",
1300
+ "apply_ref_when_disabled": "apply_ref_when_disabled",
1301
+ "start_percent": "开始位置",
1302
+ "end_percent": "结束位置"
1303
+ },
1304
+ "outputs": {
1305
+ "M_MODELS": "动态模型组"
1306
+ }
1307
+ },
1308
+ "ADE_LoadAnimateLCMI2VModel": {
1309
+ "title": "加载AnimateLCM-I2V模型",
1310
+ "inputs": {
1311
+ "ad_settings": "AD设置"
1312
+ },
1313
+ "widgets": {
1314
+ "model_name": "模型名称"
1315
+ },
1316
+ "outputs": {
1317
+ "MOTION_MODEL": "动态模型",
1318
+ "encoder_only": "仅encoder"
1319
+ }
1320
+ },
1321
+ "ADE_UpscaleAndVAEEncode": {
1322
+ "title": "放大并VAE编码",
1323
+ "inputs": {
1324
+ "image": "图像",
1325
+ "vae": "VAE",
1326
+ "latent_size": "Latent尺寸"
1327
+ },
1328
+ "widgets": {
1329
+ "scale_method": "放大方法",
1330
+ "crop": "裁剪"
1331
+ },
1332
+ "outputs": {
1333
+ "LATENT": "Latent"
1334
+ }
1335
+ },
1336
+
1337
+
1338
+ "ADE_UseEvolvedSampling": {
1339
+ "title": "使用高级采样",
1340
+ "inputs": {
1341
+ "model": "模型",
1342
+ "m_models": "动态模型组",
1343
+ "context_options": "上下文设置",
1344
+ "sample_settings": "采样设置"
1345
+ },
1346
+ "widgets": {
1347
+ "beta_schedule": "调度器"
1348
+ },
1349
+ "outputs": {
1350
+ "MODEL": "模型"
1351
+ }
1352
+ },
1353
+ "ADE_ApplyAnimateDiffModelSimple": {
1354
+ "title": "应用动态模型(简易)",
1355
+ "inputs": {
1356
+ "motion_model": "动态模型",
1357
+ "motion_lora": "动态LoRA",
1358
+ "scale_multival": "缩放多值",
1359
+ "effect_multival": "效果多值",
1360
+ "ad_keyframes": "AD关键帧"
1361
+ },
1362
+ "outputs": {
1363
+ "M_MODELS": "动态模型组"
1364
+ }
1365
+ },
1366
+ "ADE_ApplyAnimateDiffModel": {
1367
+ "title": "应用动态模型",
1368
+ "inputs": {
1369
+ "motion_model": "动态模型",
1370
+ "motion_lora": "动态LoRA",
1371
+ "scale_multival": "缩放多值",
1372
+ "effect_multival": "效果多值",
1373
+ "ad_keyframes": "AD关键帧",
1374
+ "prev_m_models": "前动态模型组"
1375
+ },
1376
+ "widgets": {
1377
+ "start_percent": "开始位置",
1378
+ "end_percent": "结束位置"
1379
+ },
1380
+ "outputs": {
1381
+ "M_MODELS": "动态模型组"
1382
+ }
1383
+ },
1384
+ "ADE_LoadAnimateDiffModel": {
1385
+ "title": "加载动态模型",
1386
+ "inputs": {
1387
+ "ad_settings": "AD设置"
1388
+ },
1389
+ "widgets": {
1390
+ "model_name": "模型名称"
1391
+ },
1392
+ "outputs": {
1393
+ "MOTION_MODEL": "动态模型"
1394
+ }
1395
+ },
1396
+
1397
+
1398
+ "ADE_AnimateDiffLoRALoader": {
1399
+ "title": "动态LoRA加载器",
1400
+ "inputs": {
1401
+ "prev_motion_lora": "前LoRA"
1402
+ },
1403
+ "widgets": {
1404
+ "lora_name": "LoRA名称",
1405
+ "strength": "强度"
1406
+ },
1407
+ "outputs": {
1408
+ "MOTION_LORA": "动态LoRA"
1409
+ }
1410
+ },
1411
+ "ADE_AnimateDiffSamplingSettings": {
1412
+ "title": "AnimateDiff采样设置",
1413
+ "inputs": {
1414
+ "noise_layers": "噪波层",
1415
+ "iteration_opts": "迭代设置",
1416
+ "custom_cfg": "自定CFG",
1417
+ "sigma_schedule": "Sigma调度",
1418
+ "seed_override": "覆盖随机种"
1419
+ },
1420
+ "widgets": {
1421
+ "batch_offset": "批次偏移",
1422
+ "noise_type": "噪波类型",
1423
+ "seed_gen": "随机种生成",
1424
+ "seed_offset": "随机种偏移",
1425
+ "adapt_denoise_steps": "自适应降噪步数"
1426
+ },
1427
+ "outputs": {
1428
+ "settings": "采样设置"
1429
+ }
1430
+ },
1431
+ "ADE_AnimateDiffKeyframe": {
1432
+ "title": "AnimateDiff关键帧",
1433
+ "inputs": {
1434
+ "prev_ad_keyframes": "前AD关键帧",
1435
+ "scale_multival": "缩放多值",
1436
+ "effect_multival": "效果多值"
1437
+ },
1438
+ "widgets": {
1439
+ "start_percent": "开始位置",
1440
+ "inherit_missing": "缺失值自动继承",
1441
+ "guarantee_steps": "最小采样步数"
1442
+ },
1443
+ "outputs": {
1444
+ "AD_KEYFRAMES": "AD关键帧"
1445
+ }
1446
+ },
1447
+
1448
+
1449
+ "ADE_SigmaSchedule": {
1450
+ "title": "Sigma调度",
1451
+ "widgets": {
1452
+ "beta_schedule": "调度器"
1453
+ },
1454
+ "outputs": {
1455
+ "SIGMA_SCHEDULE": "Sigma调度"
1456
+ }
1457
+ },
1458
+ "ADE_RawSigmaSchedule": {
1459
+ "title": "Sigma调度(高级)",
1460
+ "widgets": {
1461
+ "raw_beta_schedule": "调度器",
1462
+ "linear_start": "线性开始位置",
1463
+ "linear_end": "线性结束位置",
1464
+ "sampling": "采样",
1465
+ "eps": "等概率抽样",
1466
+ "v-prediction": "V预测",
1467
+ "lcm": "LCM",
1468
+ "lcm_original_timesteps": "LCM原步数",
1469
+ "lcm_zsnr": "LCM规格化信噪比"
1470
+ },
1471
+ "outputs": {
1472
+ "SIGMA_SCHEDULE": "Sigma调度"
1473
+ }
1474
+ },
1475
+ "ADE_SigmaScheduleWeightedAverage": {
1476
+ "title": "Sigma调度平均",
1477
+ "inputs": {
1478
+ "schedule_A": "调度_A",
1479
+ "schedule_B": "调度_B"
1480
+ },
1481
+ "widgets": {
1482
+ "weight_A": "A权重"
1483
+ },
1484
+ "outputs": {
1485
+ "SIGMA_SCHEDULE": "Sigma调度"
1486
+ }
1487
+ },
1488
+ "ADE_SigmaScheduleWeightedAverageInterp": {
1489
+ "title": "Sigma调度平均(插值)",
1490
+ "inputs": {
1491
+ "schedule_A": "调度_A",
1492
+ "schedule_B": "调度_B"
1493
+ },
1494
+ "widgets": {
1495
+ "weight_A_Start": "权重A开始",
1496
+ "weight_A_End": "��重A结束",
1497
+ "interpolation": "插值方式"
1498
+ },
1499
+ "outputs": {
1500
+ "SIGMA_SCHEDULE": "Sigma调度"
1501
+ }
1502
+ },
1503
+ "ADE_SigmaScheduleSplitAndCombine": {
1504
+ "title": "Sigma调度拆分合并",
1505
+ "inputs": {
1506
+ "schedule_Start": "调度_起始",
1507
+ "schedule_End": "调度_结束"
1508
+ },
1509
+ "widgets": {
1510
+ "idx_split_percent": "拆分位置"
1511
+ },
1512
+ "outputs": {
1513
+ "SIGMA_SCHEDULE": "Sigma调度"
1514
+ }
1515
+ },
1516
+ "ADE_SigmaScheduleToSigmas": {
1517
+ "title": "Sigma调度到Sigmas",
1518
+ "inputs": {
1519
+ "sigma_schedule": "Sigma调度"
1520
+ },
1521
+ "widgets": {
1522
+ "scheduler": "调度器",
1523
+ "steps": "步数",
1524
+ "denoise": "降噪"
1525
+ },
1526
+ "outputs": {
1527
+ "SIGMAS": "Sigmas"
1528
+ }
1529
+ },
1530
+
1531
+
1532
+ "ADE_PromptScheduling": {
1533
+ "title": "提示词调度",
1534
+ "inputs": {
1535
+ "clip": "CLIP",
1536
+ "values_replace": "值替换",
1537
+ "prepend_text": "预置文本",
1538
+ "append_text": "追加文本"
1539
+ },
1540
+ "widgets": {
1541
+ "prompts": "提示词",
1542
+ "print_shcedule": "输出调度到控制台",
1543
+ "max_length": "最大长度",
1544
+ "tensor_interp": "Tensor插值"
1545
+ },
1546
+ "outputs": {
1547
+ "CONDITIONING": "条件"
1548
+ }
1549
+ },
1550
+ "ADE_PromptSchedulingLatents": {
1551
+ "title": "提示词调度Latent",
1552
+ "inputs": {
1553
+ "clip": "CLIP",
1554
+ "latent": "Latent",
1555
+ "values_replace": "值替换",
1556
+ "prepend_text": "预置文本",
1557
+ "append_text": "追加文本"
1558
+ },
1559
+ "widgets": {
1560
+ "prompts": "提示词",
1561
+ "print_shcedule": "输出调度到控制台",
1562
+ "max_length": "最大长度"
1563
+ },
1564
+ "outputs": {
1565
+ "CONDITIONING": "条件",
1566
+ "LATENT": "Latent"
1567
+ }
1568
+ },
1569
+ "ADE_ValueScheduling": {
1570
+ "title": "值调度",
1571
+ "widgets": {
1572
+ "values": "值",
1573
+ "print_shcedule": "输出调度到控制台",
1574
+ "max_length": "最大长度"
1575
+ },
1576
+ "outputs": {
1577
+ "FLOAT": "浮点",
1578
+ "FLOATS": "浮点组",
1579
+ "INT": "整数",
1580
+ "INTS": "整数组"
1581
+ }
1582
+ },
1583
+ "ADE_ValueSchedulingLatents": {
1584
+ "title": "值调度Latent",
1585
+ "inputs": {
1586
+ "latent": "Latent"
1587
+ },
1588
+ "widgets": {
1589
+ "values": "值",
1590
+ "print_shcedule": "输出调度到控制台"
1591
+ },
1592
+ "outputs": {
1593
+ "FLOAT": "浮点",
1594
+ "FLOATS": "浮点组",
1595
+ "INT": "整数",
1596
+ "INTS": "整数组"
1597
+ }
1598
+ },
1599
+ "ADE_ValuesReplace": {
1600
+ "title": "值替换",
1601
+ "inputs": {
1602
+ "floats": "浮点组",
1603
+ "prev_replace": "前替换"
1604
+ },
1605
+ "widgets": {
1606
+ "value_key": "键值对"
1607
+ },
1608
+ "outputs": {
1609
+ "VALUES_REPLACE": "值替换"
1610
+ }
1611
+ },
1612
+ "ADE_FloatToFloats": {
1613
+ "title": "浮点到浮点组",
1614
+ "inputs": {
1615
+ "FLOAT": "浮点"
1616
+ },
1617
+ "outputs": {
1618
+ "FLOATS": "浮点组"
1619
+ }
1620
+ },
1621
+
1622
+
1623
+ "ADE_CFGExtrasPAGSimple": {
1624
+ "title": "CFG附加组(PAG简易)",
1625
+ "inputs": {
1626
+ "prev_extras": "前附加组"
1627
+ },
1628
+ "widgets": {
1629
+ "scale": "缩放"
1630
+ },
1631
+ "outputs": {
1632
+ "CFG_EXTRAS": "CFG附加组"
1633
+ }
1634
+ },
1635
+ "ADE_CFGExtrasPAG": {
1636
+ "title": "CFG附加组(PAG)",
1637
+ "inputs": {
1638
+ "scale_multival": "缩放多值",
1639
+ "prev_extras": "前附加组"
1640
+ },
1641
+ "outputs": {
1642
+ "CFG_EXTRAS": "CFG附加组"
1643
+ }
1644
+ },
1645
+ "ADE_CFGExtrasRescaleCFGSimple": {
1646
+ "title": "CFG附加组(缩放CFG简易)",
1647
+ "inputs": {
1648
+ "prev_extras": "前附加组"
1649
+ },
1650
+ "widgets": {
1651
+ "scale": "缩放"
1652
+ },
1653
+ "outputs": {
1654
+ "CFG_EXTRAS": "CFG附加组"
1655
+ }
1656
+ },
1657
+ "ADE_CFGExtrasRescaleCFG": {
1658
+ "title": "CFG附加组(缩放CFG)",
1659
+ "inputs": {
1660
+ "scale_multival": "缩放多值",
1661
+ "prev_extras": "前附加组"
1662
+ },
1663
+ "outputs": {
1664
+ "CFG_EXTRAS": "CFG附加组"
1665
+ }
1666
+ },
1667
+
1668
+ "ADE_CustomCFGSimple": {
1669
+ "title": "自定义CFG(简易)",
1670
+ "inputs": {
1671
+ "cfg_extras": "CFG附加组"
1672
+ },
1673
+ "widgets": {
1674
+ "cfg": "CFG"
1675
+ },
1676
+ "outputs": {
1677
+ "CUSTOM_CFG": "自定义CFG"
1678
+ }
1679
+ },
1680
+ "ADE_CustomCFG": {
1681
+ "title": "自定义CFG",
1682
+ "inputs": {
1683
+ "cfg_multival": "多值CFG",
1684
+ "cfg_extras": "CFG附加组"
1685
+ },
1686
+ "outputs": {
1687
+ "CUSTOM_CFG": "自定义CFG"
1688
+ }
1689
+ },
1690
+ "ADE_CustomCFGKeyframeSimple": {
1691
+ "title": "自定义CFG关键帧(简易)",
1692
+ "inputs": {
1693
+ "prev_custom_cfg": "前自定义CFG",
1694
+ "cfg_extras": "CFG附加组"
1695
+ },
1696
+ "widgets": {
1697
+ "cfg": "CFG",
1698
+ "start_percent": "开始位置",
1699
+ "guarantee_steps": "最小采样步数"
1700
+ },
1701
+ "CUSTOM_CFG": "自定义CFG"
1702
+ },
1703
+ "ADE_CustomCFGKeyframe": {
1704
+ "title": "自定义CFG关键帧",
1705
+ "inputs": {
1706
+ "cfg_multival": "多值CFG",
1707
+ "prev_custom_cfg": "前自定义CFG",
1708
+ "cfg_extras": "CFG附加组"
1709
+ },
1710
+ "widgets": {
1711
+ "start_percent": "开始位置",
1712
+ "guarantee_steps": "最小采样步数"
1713
+ },
1714
+ "outputs": {
1715
+ "CUSTOM_CFG": "自定义CFG"
1716
+ }
1717
+ },
1718
+ "ADE_CustomCFGKeyframeInterpolation": {
1719
+ "title": "自定义CFG关键帧插值",
1720
+ "inputs": {
1721
+ "prev_custom_cfg": "前自定义CFG",
1722
+ "cfg_extras": "CFG附加组"
1723
+ },
1724
+ "widgets": {
1725
+ "start_percent": "开始位置",
1726
+ "end_percent": "结束位置",
1727
+ "cfg_start": "开始CFG",
1728
+ "cdg_end": "结束CFG",
1729
+ "interpolation": "插值方式",
1730
+ "intervals": "迭代次数",
1731
+ "print_keyframes": "输出关键帧到控制台"
1732
+ },
1733
+ "outputs": {
1734
+ "CUSTOM_CFG": "自定义CFG"
1735
+ }
1736
+ },
1737
+ "ADE_CustomCFGKeyframeFromList": {
1738
+ "Title": "自定义CFG关键帧(列表)",
1739
+ "inputs": {
1740
+ "prev_custom_cfg": "前自定义CFG",
1741
+ "cfg_extras": "CFG附加组",
1742
+ "cfgs_float": "浮点"
1743
+ },
1744
+ "widgets": {
1745
+ "start_percent": "开始位置",
1746
+ "end_percent": "结束位置",
1747
+ "print_keyframes": "输出关键帧到控制台"
1748
+ },
1749
+ "outputs": {
1750
+ "CUSTOM_CFG": "自定义CFG"
1751
+ }
1752
+ },
1753
+
1754
+
1755
+ "ADE_NoisedImageInjection": {
1756
+ "title": "噪波图像插入",
1757
+ "inputs": {
1758
+ "image": "图像",
1759
+ "vae": "VAE",
1760
+ "mask_opt": "遮罩(可选)",
1761
+ "image_inject_opts": "图像插入设置",
1762
+ "strength_multival": "强度多值",
1763
+ "prev_image_inject": "前图像插入"
1764
+ },
1765
+ "widgets": {
1766
+ "inver_mask": "反转遮罩",
1767
+ "resize_image": "缩放图像",
1768
+ "start_percent": "开始位置",
1769
+ "guarantee_steps": "最小采样步数"
1770
+ },
1771
+ "outputs": {
1772
+ "IMAGE_INJECT": "图像插入"
1773
+ }
1774
+ },
1775
+ "ADE_NoisedImageInjectOptions": {
1776
+ "title": "噪波图像插入设置",
1777
+ "widgets": {
1778
+ "composite_x": "合成_X",
1779
+ "composite_y": "合成_Y"
1780
+ },
1781
+ "outputs": {
1782
+ "IMG_INJECT_OPTS": "图像插入设置"
1783
+ }
1784
+ },
1785
+
1786
+
1787
+ "ADE_AnimateDiffModelSettingsSimple": {
1788
+ "title": "动态扩散模型设置(简易)",
1789
+ "inputs": {
1790
+ "mask_motion_scale": "动态缩放遮罩"
1791
+ },
1792
+ "widgets": {
1793
+ "motion_pe_stretch": "动态位置拉伸",
1794
+ "min_motion_scale": "最小动态缩放",
1795
+ "max_motion_scale": "最大动态缩放"
1796
+ },
1797
+ "outputs": {
1798
+ "MOTION_MODEL_SETTINGS": "动态模型设置"
1799
+ }
1800
+ },
1801
+ "ADE_AnimateDiffModelSettings": {
1802
+ "title": "动态扩散模型设置",
1803
+ "inputs": {
1804
+ "mask_motion_scale": "动态缩放遮罩"
1805
+ },
1806
+ "outputs": {
1807
+ "MOTION_MODEL_SETTINGS": "动态模型设置"
1808
+ }
1809
+ },
1810
+ "ADE_AnimateDiffModelSettingsAdvancedAttnStrengths": {
1811
+ "title": "动态扩散模型设置(高级)",
1812
+ "inputs": {
1813
+ "mask_motion_scale": "动态缩放遮罩"
1814
+ },
1815
+ "outputs": {
1816
+ "MOTION_MODEL_SETTINGS": "动态模型设置"
1817
+ }
1818
+ },
1819
+ "ADE_AnimateDiffModelSettings_Release": {
1820
+ "title": "动态扩散模型设置(发行)",
1821
+ "inputs": {
1822
+ "mask_motion_scale": "动态缩放遮罩"
1823
+ },
1824
+ "widgets": {
1825
+ "min_motion_scale": "最小动态缩放",
1826
+ "max_motion_scale": "最大动态缩放"
1827
+ },
1828
+ "outputs": {
1829
+ "MOTION_MODEL_SETTINGS": "动态模型设置"
1830
+ }
1831
+ },
1832
+
1833
+ "ADE_AnimateDiffUniformContextOptions": {
1834
+ "title": "动态扩散上下文选项",
1835
+ "widgets": {
1836
+ "context_length": "上下文长度",
1837
+ "context_stride": "上下文步幅",
1838
+ "context_overlap": "上下文重叠",
1839
+ "context_schedule": "上下文调度器",
1840
+ "closed_loop": "闭合上下文循环"
1841
+ },
1842
+ "outputs": {
1843
+ "CONTEXT_OPTIONS": "上下文设置"
1844
+ }
1845
+ },
1846
+
1847
+ "AnimateDiffLoaderV1": {
1848
+ "title": "动态扩散加载器v1",
1849
+ "inputs": {
1850
+ "model": "模型",
1851
+ "latents": "Latent"
1852
+ },
1853
+ "widgets": {
1854
+ "model_name": "模型名称",
1855
+ "unlimited_area_hack": "无限制区域",
1856
+ "beta_schedule": "调度器"
1857
+ },
1858
+ "outputs": {
1859
+ "MODEL": "模型",
1860
+ "LATENT": "Latent"
1861
+ }
1862
+ },
1863
+ "ADE_AnimateDiffLoaderV1Advanced": {
1864
+ "title": "动态扩散加载器v1(高级)",
1865
+ "inputs": {
1866
+ "model": "模型",
1867
+ "latents": "Latent"
1868
+ },
1869
+ "widgets": {
1870
+ "model_name": "模型名称",
1871
+ "unlimited_area_hack": "无限制区域",
1872
+ "context_length": "上下文长度",
1873
+ "context_stride": "上下文步幅",
1874
+ "context_overlap": "上下文重叠",
1875
+ "context_schedule": "上下文调度器",
1876
+ "closed_loop": "闭合上下文循环",
1877
+ "beta_schedule": "调度器"
1878
+ },
1879
+ "outputs": {
1880
+ "MODEL": "模型",
1881
+ "LATENT": "Latent"
1882
+ }
1883
+ },
1884
+ "ADE_AnimateDiffCombine": {
1885
+ "title": "动态扩散合并",
1886
+ "inputs": {
1887
+ "images": "图像"
1888
+ },
1889
+ "widgets": {
1890
+ "frame_rate": "帧率",
1891
+ "loop_count": "循环次数",
1892
+ "filename_prefix": "文件名前缀",
1893
+ "format": "格式",
1894
+ "pingpong": "Ping-Pong",
1895
+ "save_image": "是否保存",
1896
+ "Enabled": "是",
1897
+ "Disabled": "否"
1898
+ },
1899
+ "outputs": {
1900
+ "GIF": "GIF"
1901
+ }
1902
+ }
1903
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Any.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "AnyText_loader": {
3
+ "title": "AnyText 加载器",
4
+ "widgets": {
5
+ "font": "字体",
6
+ "ckpt_name": "模型名称",
7
+ "clip": "CLIP",
8
+ "translator": "翻译服务"
9
+ },
10
+ "outputs": {
11
+ "AnyText_Loader": "AnyText"
12
+ }
13
+ },
14
+ "AnyText_translator": {
15
+ "title": "AnyText 翻译",
16
+ "widgets": {
17
+ "model": "模型",
18
+ "prompt": "提示词",
19
+ "Batch_prompt": "批次提示词",
20
+ "t5_Target_Language": "T5目标语言",
21
+ "if_Batch": "批次翻译",
22
+ "Batch_Newline": "批次换行",
23
+ "device": "设备"
24
+ },
25
+ "outputs": {
26
+ "text": "文本"
27
+ }
28
+ },
29
+ "AnyText": {
30
+ "title": "AnyText",
31
+ "inputs": {
32
+ "AnyText_Loader": "AnyText",
33
+ "ori_image": "初始图像",
34
+ "pos_image": "文本位置图像"
35
+ },
36
+ "widgets": {
37
+ "prompt": "提示词",
38
+ "a_prompt": "正面提示词",
39
+ "n_prompt": "负面提示词",
40
+ "mode": "模式",
41
+ "sort_radio": "排列方法",
42
+ "revise_pos": "修正位置",
43
+ "img_count": "图像数量",
44
+ "ddim_steps": "ddim 步数",
45
+ "seed": "随机种",
46
+ "nonEdit_random_gen_width": "自动遮罩随机宽度",
47
+ "nonEdit_random_gen_height": "自动遮罩随机高度",
48
+ "Random_Gen": "自动遮罩",
49
+ "strength": "强度",
50
+ "cfg_scale": "CFG",
51
+ "eta": "eta",
52
+ "device": "设备",
53
+ "fp16": "fp16",
54
+ "cpu_offload": "cpu卸载",
55
+ "all_to_device": "统一设备"
56
+ },
57
+ "outputs": {
58
+ "IMAGE": "图像"
59
+ }
60
+ }
61
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Anyline.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "AnyLinePreprocessor": {
3
+ "title": "AnyLine预处理器",
4
+ "inputs": {
5
+ "image": "图像"
6
+ },
7
+ "outputs": {
8
+ "image": "图像"
9
+ }
10
+ }
11
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-AutomaticCFG.json ADDED
@@ -0,0 +1,231 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "SAG Delayed activation": {
3
+ "title": "SAG自注意力引导",
4
+ "inputs": {
5
+ "model": "模型"
6
+ },
7
+ "widgets": {
8
+ "scale": "缩放",
9
+ "blur_sigma": "模糊Sigma",
10
+ "sigma_start": "起始Sigam",
11
+ "sigma_end": "结束Sigma"
12
+ },
13
+ "outputs": {
14
+ "MODEL": "模型"
15
+ }
16
+ },
17
+ "Automatic CFG": {
18
+ "title": "自动CFG",
19
+ "inputs": {
20
+ "model": "模型"
21
+ },
22
+ "widgets": {
23
+ "boost": "加速"
24
+ },
25
+ "outputs": {
26
+ "MODEL": "模型"
27
+ }
28
+ },
29
+ "Automatic CFG - Negative": {
30
+ "title": "自动CFG(负面)",
31
+ "inputs": {
32
+ "model": "模型"
33
+ },
34
+ "widgets": {
35
+ "boost": "加速",
36
+ "negative_strength": "负面强度"
37
+ },
38
+ "outputs": {
39
+ "MODEL": "模型"
40
+ }
41
+ },
42
+ "Automatic CFG - Warp Drive": {
43
+ "title": "自动CFG(Warp Drive)",
44
+ "inputs": {
45
+ "model": "模型"
46
+ },
47
+ "outputs": {
48
+ "MODEL": "模型"
49
+ }
50
+ },
51
+ "Automatic CFG - Preset Loader": {
52
+ "title": "自动CFG(预设组)",
53
+ "inputs": {
54
+ "model" :"模型",
55
+ "join_global_parameters": "加入全局参数"
56
+ },
57
+ "widgets": {
58
+ "preset": "预设"
59
+ },
60
+ "outputs": {
61
+ "Model": "模型",
62
+ "Preset name": "预设名称",
63
+ "Parameters as string": "参数字符串"
64
+ }
65
+ },
66
+ "Automatic CFG - Excellent attention": {
67
+ "title": "自动CFG(完美注意力)",
68
+ "inputs": {
69
+ "model": "模型",
70
+ "attn_mod_for_positive_operation": "正面注意力修改",
71
+ "attn_mod_for_negative_operation": "负面注意力修改"
72
+ },
73
+ "widgets": {
74
+ "save_as_preset": "保存为预设",
75
+ "preset_name": "预设名称"
76
+ },
77
+ "outputs": {
78
+ "Model": "模型",
79
+ "Parameters as string": "参数字符串"
80
+ }
81
+ },
82
+ "Automatic CFG - Advanced": {
83
+ "title": "自动CFG(高级)",
84
+ "inputs": {
85
+ "model": "模型"
86
+ },
87
+ "widgets": {
88
+ "model": "模型",
89
+ "automatic_cfg": "automatic_cfg",
90
+ "skip_uncond": "skip_uncond",
91
+ "uncond_sigma_start": "uncond_sigma_start",
92
+ "uncond_sigma_end": "uncond_sigma_end",
93
+ "lerp_uncond": "lerp_uncond",
94
+ "lerp_uncond_strength": "lerp_uncond_strength",
95
+ "lerp_uncond_sigma_start": "lerp_uncond_sigma_start",
96
+ "lerp_uncond_sigma_end": "lerp_uncond_sigma_end",
97
+ "subtract_latent_mean": "subtract_latent_mean",
98
+ "subtract_latent_mean_sigma_start": "subtract_latent_mean_sigma_start",
99
+ "subtract_latent_mean_sigma_end": "subtract_latent_mean_sigma_end",
100
+ "latent_intensity_rescale": "latent_intensity_rescale",
101
+ "latent_intensity_rescale_method": "latent_intensity_rescale_method",
102
+ "latent_intensity_rescale_cfg": "latent_intensity_rescale_cfg",
103
+ "latent_intensity_rescale_sigma_start": "latent_intensity_rescale_sigma_start",
104
+ "latent_intensity_rescale_sigma_end": "latent_intensity_rescale_sigma_end"
105
+ },
106
+ "outputs": {
107
+ "MODEL": "模型"
108
+ }
109
+ },
110
+
111
+ "Temperature settings SDXL": {
112
+ "title": "温度设置(SDXL)",
113
+ "inputs": {
114
+ "model": "模型"
115
+ },
116
+ "widgets": {
117
+ "Temperature": "温度",
118
+ "Attention": "注意力"
119
+ },
120
+ "outputs": {
121
+ "Model": "模型"
122
+ }
123
+ },
124
+ "Temperature settings SD 1.5": {
125
+ "title": "温度设置(SD1.5)",
126
+ "inputs": {
127
+ "model": "模型"
128
+ },
129
+ "widgets": {
130
+ "Temperature": "温度",
131
+ "Attention": "注意力"
132
+ },
133
+ "outputs": {
134
+ "Model": "模型"
135
+ }
136
+ },
137
+ "Temperature settings CLIP": {
138
+ "title": "CLIP温度",
139
+ "inputs": {
140
+ "clip": "CLIP"
141
+ },
142
+ "widgets": {
143
+ "Temperature": "温度"
144
+ },
145
+ "outputs": {
146
+ "CLIP": "CLIP"
147
+ }
148
+ },
149
+ "Temperature separate settings CLIP SDXL": {
150
+ "title": "CLIP温度(SDXL)",
151
+ "inputs": {
152
+ "clip": "CLIP"
153
+ },
154
+ "widgets": {
155
+ "Temperature": "温度",
156
+ "CLIP_Model": "CLIP"
157
+ },
158
+ "outputs": {
159
+ "CLIP": "CLIP"
160
+ }
161
+ },
162
+
163
+ "Automatic CFG - Custom attentions": {
164
+ "title": "自动CFG(自定义注意力)",
165
+ "inputs": {
166
+ "model": "模型",
167
+ "attn_mod_for_negative_operation": "负面注意力修改",
168
+ "attn_mod_for_positive_operation": "正面注意力修改"
169
+ },
170
+ "widgets": {
171
+ "save_as_preset": "保存为预设",
172
+ "preset_name": "预设名称"
173
+ },
174
+ "outputs": {
175
+ "Model": "模型"
176
+ }
177
+ },
178
+ "Automatic CFG - Attention modifiers": {
179
+ "title": "自动CFG(注意力修改)",
180
+ "inputs": {
181
+ "join_parameters": "加入参数"
182
+ },
183
+ "widgets": {
184
+ "seed": "随机种",
185
+ "control_before_generate": "运行前操作"
186
+ },
187
+ "outputs": {
188
+ "Attention modifier": "注意力修改",
189
+ "Parameters as string": "参数字符串"
190
+ }
191
+ },
192
+ "Automatic CFG - Attention modifiers tester": {
193
+ "title": "自动CFG(注意力修改实验)",
194
+ "inputs": {
195
+ "join_parameters": "加入参数"
196
+ },
197
+ "outputs": {
198
+ "Attention modifier": "注意力修改",
199
+ "Parameters as string": "参数字符串"
200
+ }
201
+ },
202
+
203
+ "Automatic CFG - Fastest": {
204
+ "title": "自动CFG(快速)",
205
+ "inputs": {
206
+ "model": "模型"
207
+ },
208
+ "outputs": {
209
+ "MODEL": "模型"
210
+ }
211
+ },
212
+ "Automatic CFG - Post rescale only": {
213
+ "title": "自动CFG(仅后缩放)",
214
+ "inputs": {
215
+ "model": "模型"
216
+ },
217
+ "widgets": {
218
+ "subtract_latent_mean": "subtract_latent_mean",
219
+ "subtract_latent_mean_sigma_start": "subtract_latent_mean_sigma_start",
220
+ "subtract_latent_mean_sigma_end": "subtract_latent_mean_sigma_end",
221
+ "latent_intensity_rescale": "latent_intensity_rescale",
222
+ "latent_intensity_rescale_method": "latent_intensity_rescale_method",
223
+ "latent_intensity_rescale_cfg": "latent_intensity_rescale_cfg",
224
+ "latent_intensity_rescale_sigma_start": "latent_intensity_rescale_sigma_start",
225
+ "latent_intensity_rescale_sigma_end": "latent_intensity_rescale_sigma_end"
226
+ },
227
+ "outputs": {
228
+ "MODEL": "模型"
229
+ }
230
+ }
231
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-BiRefNet-Hugo.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "BiRefNet_Hugo": {
3
+ "title": "🔥BiRefNet",
4
+ "inputs": {
5
+ "image": "图像"
6
+ },
7
+ "widgets": {
8
+ "background_color_name": "背景色",
9
+ "device": "设备"
10
+ },
11
+ "outputs": {
12
+ "image": "图像",
13
+ "mask": "遮罩"
14
+ }
15
+ }
16
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-BiRefNet.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "BiRefNet": {
3
+ "title": "BiRefNet",
4
+ "inputs": {
5
+ "image": "图像"
6
+ },
7
+ "widgets": {
8
+ "device": "设备"
9
+ },
10
+ "outputs": {
11
+ "mask": "遮罩"
12
+ }
13
+ }
14
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-BrushNet-Wrapper.json ADDED
@@ -0,0 +1,116 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "brushnet_model_loader": {
3
+ "title": "BrushNet模型加载器",
4
+ "inputs": {
5
+ "model": "模型",
6
+ "clip": "CLIP",
7
+ "vae": "VAE",
8
+ "ip_adapter": "IPAdapter"
9
+ },
10
+ "widgets": {
11
+ "brushnet_model": "BrushNet模型"
12
+ },
13
+ "outputs": {
14
+ "brushnet": "BrushNet"
15
+ }
16
+ },
17
+ "brushnet_ella_loader": {
18
+ "title": "BrushNet_ELLA加载器",
19
+ "inputs": {
20
+ "brushnet": "BrushNet"
21
+ },
22
+ "outputs": {
23
+ "brushnet": "BrushNet"
24
+ }
25
+ },
26
+ "brushnet_ipadapter_matteo": {
27
+ "title": "BrushNet_IPAdapter_Matteo",
28
+ "inputs": {
29
+ "image": "图像"
30
+ },
31
+ "widgets": {
32
+ "ipadapter": "IPAdapter",
33
+ "clip_vision": "CLIP视觉",
34
+ "weight": "权重"
35
+ },
36
+ "outputs": {
37
+ "ip_adapter": "IPAdapter"
38
+ }
39
+ },
40
+ "brushnet_sampler": {
41
+ "title": "BrushNet采样器",
42
+ "inputs": {
43
+ "brushnet": "BrushNet",
44
+ "image": "图像",
45
+ "mask": "遮罩"
46
+ },
47
+ "widgets": {
48
+ "steps": "步数",
49
+ "cfg": "CFG",
50
+ "cfg_brushnet": "BrushNet_CFG",
51
+ "control_guidance_start": "引导起始位置",
52
+ "control_guidance_end": "引导结束位置",
53
+ "guess_mode": "猜测模式",
54
+ "clip_skip": "CLIP_Skip",
55
+ "seed": "随机种",
56
+ "control_before_generate": "运行前操作",
57
+ "scheduler": "调度器",
58
+ "prompt": "提示词",
59
+ "n_prompt": "负面提示词"
60
+ },
61
+ "outputs": {
62
+ "images": "图像"
63
+ }
64
+ },
65
+ "brushnet_sampler_ella": {
66
+ "title": "BrushNet采样器(ELLA)",
67
+ "inputs": {
68
+ "brushnet": "BrushNet",
69
+ "ella_embeds": "ELLA嵌入组",
70
+ "image": "图像",
71
+ "mask": "遮罩"
72
+ },
73
+ "widgets": {
74
+ "steps": "步数",
75
+ "cfg": "CFG",
76
+ "cfg_brushnet": "BrushNet_CFG",
77
+ "control_guidance_start": "引导起始位置",
78
+ "control_guidance_end": "引导结束位置",
79
+ "guess_mode": "猜测模式",
80
+ "clip_skip": "CLIP_Skip",
81
+ "seed": "随机种",
82
+ "control_before_generate": "运行前操作",
83
+ "scheduler": "调度器"
84
+ },
85
+ "outputs": {
86
+ "images": "图像"
87
+ }
88
+ },
89
+ "powerpaint_brushnet_sampler": {
90
+ "title": "BrushNet采样器(PowerPaint)",
91
+ "inputs": {
92
+ "brushnet": "BrushNet",
93
+ "image": "图像",
94
+ "mask": "遮罩"
95
+ },
96
+ "widgets": {
97
+ "steps": "步数",
98
+ "cfg": "CFG",
99
+ "cfg_brushnet": "BrushNet_CFG",
100
+ "control_guidance_start": "引导起始位置",
101
+ "control_guidance_end": "引导结束位置",
102
+ "guess_mode": "猜测模式",
103
+ "clip_skip": "CLIP_Skip",
104
+ "seed": "随机种",
105
+ "control_before_generate": "运行前操作",
106
+ "scheduler": "调度器",
107
+ "prompt": "提示词",
108
+ "n_prompt": "负面提示词",
109
+ "task": "任务",
110
+ "fitting_degree": "适配角度"
111
+ },
112
+ "outputs": {
113
+ "images": "图像"
114
+ }
115
+ }
116
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-BrushNet.json ADDED
@@ -0,0 +1,140 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "BrushNetLoader": {
3
+ "title": "BrushNet加载器",
4
+ "widgets": {
5
+ "brushnet": "BrushNet"
6
+ },
7
+ "outputs": {
8
+ "brushnet": "BrushNet"
9
+ }
10
+ },
11
+ "BrushNetPipeline": {
12
+ "title": "BrushNet节点束",
13
+ "inputs": {
14
+ "model": "模型",
15
+ "clip": "CLIP",
16
+ "vae": "VAE",
17
+ "brushnet": "BrushNet"
18
+ },
19
+ "outputs": {
20
+ "BRPL": "BrushNet节点束"
21
+ }
22
+ },
23
+ "BrushNet": {
24
+ "title": "BrushNet",
25
+ "inputs": {
26
+ "model": "模型",
27
+ "vae": "VAE",
28
+ "image": "图像",
29
+ "mask": "遮罩",
30
+ "brushnet": "BrushNet",
31
+ "positive": "正面条件",
32
+ "negative": "负面条件"
33
+ },
34
+ "widgets": {
35
+ "scale": "缩放",
36
+ "start_at": "开始引导步数",
37
+ "end_at": "结束引导步数"
38
+ },
39
+ "outputs": {
40
+ "model": "模型",
41
+ "positive": "正面条件",
42
+ "negative": "负面条件",
43
+ "latent": "Latent"
44
+ }
45
+ },
46
+ "CutForInpaint": {
47
+ "title": "局部重绘裁剪处理",
48
+ "inputs": {
49
+ "image": "图像",
50
+ "mask": "遮罩"
51
+ },
52
+ "widgets": {
53
+ "width": "宽度",
54
+ "height": "高度"
55
+ },
56
+ "outputs": {
57
+ "image": "图像",
58
+ "mask": "遮罩",
59
+ "origin": "origin"
60
+ }
61
+ },
62
+ "PowerPaintCLIPLoader": {
63
+ "title": "PowerPaintCLIP加载器",
64
+ "widgets": {
65
+ "base": "CLIP",
66
+ "powerpaint": "PowerPaint"
67
+ },
68
+ "outputs": {
69
+ "clip": "CLIP"
70
+ }
71
+ },
72
+ "PowerPaint": {
73
+ "title": "PowerPaint",
74
+ "inputs": {
75
+ "model": "模型",
76
+ "vae": "VAE",
77
+ "image": "图像",
78
+ "mask": "遮罩",
79
+ "powerpaint": "PowerPaint",
80
+ "clip": "CLIP",
81
+ "positive": "正面条件",
82
+ "negative": "负面条件"
83
+ },
84
+ "widgets": {
85
+ "fitting": "fitting",
86
+ "function": "模式",
87
+ "scale": "缩放",
88
+ "start_at": "开始引导步数",
89
+ "end_at": "结束引导步数"
90
+ },
91
+ "outputs": {
92
+ "model": "模型",
93
+ "positive": "正面条件",
94
+ "negative": "负面条件",
95
+ "latent": "Latent"
96
+ }
97
+ },
98
+ "RAUNet": {
99
+ "title": "RAUNet",
100
+ "inputs": {
101
+ "model": "模型"
102
+ },
103
+ "outputs": {
104
+ "model": "模型"
105
+ }
106
+ },
107
+ "BrushNetInpaint": {
108
+ "title": "BrushNet局部重绘",
109
+ "inputs": {
110
+ "BRPL": "BrushNet节点束",
111
+ "image": "图像",
112
+ "mask": "遮罩",
113
+ "positive": "正面条件",
114
+ "negative": "负面条件"
115
+ },
116
+ "widgets": {
117
+ "seed": "随机种",
118
+ "control_before_generate": "运行前操作",
119
+ "steps": "步数",
120
+ "scale": "缩放"
121
+ },
122
+ "outputs": {
123
+ "image": "图像"
124
+ }
125
+ },
126
+ "BlendInpaint": {
127
+ "title": "混合局部重绘",
128
+ "inputs": {
129
+ "image1": "图像_1",
130
+ "image2": "图像_2",
131
+ "mask": "遮罩"
132
+ },
133
+ "widgets": {
134
+ "blur": "模糊"
135
+ },
136
+ "outputs": {
137
+ "image": "图像"
138
+ }
139
+ }
140
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-CCSR.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "DownloadAndLoadCCSRModel": {
3
+ "title": "下载并加载 CCSR 模型",
4
+ "widgets": {
5
+ "model": "模型"
6
+ },
7
+ "outputs": {
8
+ "ccsr_model": "CCSR模型"
9
+ }
10
+ },
11
+ "CCSR_Model_Select": {
12
+ "title": "CCSR 模型加载器",
13
+ "widgets": {
14
+ "ckpt_name": "模型"
15
+ },
16
+ "outputs": {
17
+ "ccsr_model": "CCSR模型"
18
+ }
19
+ },
20
+ "CCSR_Upscale": {
21
+ "title": "CCSR 放大",
22
+ "inputs": {
23
+ "ccsr_model": "CCSR模型",
24
+ "image": "图像"
25
+ },
26
+ "widgets": {
27
+ "resize_method": "缩放方法",
28
+ "scale_by": "缩放系数",
29
+ "steps": "步数",
30
+ "t_max": "开始采样位置",
31
+ "t_min": "结束采样位置",
32
+ "sampling_method": "采样方法",
33
+ "tile_size": "分块尺寸",
34
+ "tile_stride": "分块步长",
35
+ "vae_tile_size_encode": "VAE编码分块尺寸",
36
+ "vae_tile_size_decode": "VAE解码分块尺寸",
37
+ "color_fix_type": "颜色修复类型",
38
+ "keep_model_loaded": "保持模型加载",
39
+ "seed": "随机种",
40
+ "control_before_generate": "运行前操作"
41
+ },
42
+ "outputs": {
43
+ "upscaled_image": "图像"
44
+ }
45
+ }
46
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Champ.json ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "ChampLoader": {
3
+ "title": "Champ加载器",
4
+ "widgets": {
5
+ "sd_path": "sd_路径",
6
+ "vae_path": "vae_路径",
7
+ "image_encoder_path": "image_encoder_路径",
8
+ "motion_module_path": "motion_module_路径",
9
+ "denoising_unet_path": "denoising_unet_路径",
10
+ "reference_unet_path": "reference_unet_路径",
11
+ "depth_path": "depth_路径",
12
+ "dwpose_path": "dwpose_路径",
13
+ "normal_path": "normal_路径",
14
+ "semantic_map_path": "semantic_map_路径",
15
+ "weight_dtype": "模型剪枝"
16
+ },
17
+ "outputs": {
18
+ "champ": "Champ",
19
+ "cfg": "CFG",
20
+ "vae": "VAE",
21
+ "image_enc": "图像编码",
22
+ "noise_scheduler": "噪波调度"
23
+ }
24
+ },
25
+ "ChampRun": {
26
+ "title": "Champ执行",
27
+ "inputs": {
28
+ "model": "模型",
29
+ "cfg": "CFG",
30
+ "vae": "VAE",
31
+ "image_enc": "图像编码",
32
+ "noise_scheduler": "噪波调度",
33
+ "image": "图像",
34
+ "depth_images": "深度图",
35
+ "normal_images": "法向图",
36
+ "semantic_map_images": "Semantic图像",
37
+ "depose_images": "DWPose图像"
38
+ },
39
+ "widgets": {
40
+ "width": "宽度",
41
+ "height": "高度",
42
+ "video_length": "帧数",
43
+ "num_inference_steps": "步数",
44
+ "guidance_scale": "引导缩放",
45
+ "seed": "随机种",
46
+ "control_before_generate": "运行前操作"
47
+ },
48
+ "outputs": {
49
+ "IMAGE": "图像"
50
+ }
51
+ },
52
+ "ImageCombineOneRow": {
53
+ "title": "图像合并到行",
54
+ "inputs": {
55
+ "image1": "图像1",
56
+ "image2": "图像2",
57
+ "image3": "图像3",
58
+ "image4": "图像4",
59
+ "image5": "图像5",
60
+ "image6": "图像6",
61
+ "image7": "图像7",
62
+ "image8": "图像8",
63
+ "image9": "图像9",
64
+ "image10": "图像10",
65
+ "image11": "图像11",
66
+ "image12": "图像12"
67
+ },
68
+ "outputs": {
69
+ "IMAGE": "图像"
70
+ }
71
+ },
72
+ "ImageCombineOneColumn": {
73
+ "title": "图像合并到列",
74
+ "inputs": {
75
+ "image1": "图像1",
76
+ "image2": "图像2",
77
+ "image3": "图像3",
78
+ "image4": "图像4",
79
+ "image5": "图像5",
80
+ "image6": "图像6",
81
+ "image7": "图像7",
82
+ "image8": "图像8",
83
+ "image9": "图像9",
84
+ "image10": "图像10",
85
+ "image11": "图像11",
86
+ "image12": "图像12"
87
+ },
88
+ "outputs": {
89
+ "IMAGE": "图像"
90
+ }
91
+ }
92
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-CogVideoXWrapper.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "DownloadAndLoadCogVideoModel": {
3
+ "title": "下载并加载CogVideo模型",
4
+ "widgets": {
5
+ "model": "模型",
6
+ "precision": "精度",
7
+ "fp8_transformer": "fp8_transformer",
8
+ "compile": "编译",
9
+ "enable_sequential_cpu_offload": "序列CPU卸载"
10
+ },
11
+ "outputs": {
12
+ "cogvideo_pipe": "CogVideo"
13
+ }
14
+ },
15
+ "CogVideoImageEncode": {
16
+ "title": "CogVideo图像编码",
17
+ "inputs": {
18
+ "pipeline": "CogVideo",
19
+ "image": "图像"
20
+ },
21
+ "widgets": {
22
+ "chunk_size": "chunk_size",
23
+ "enable_vae_slicing": "VAE切分"
24
+ },
25
+ "outputs": {
26
+ "samples": "Latent"
27
+ }
28
+ },
29
+ "CogVideoDecode": {
30
+ "title": "CogVideo解码",
31
+ "inputs": {
32
+ "pipeline": "CogVideo",
33
+ "samples": "Latent"
34
+ },
35
+ "outputs": {
36
+ "images": "图像"
37
+ }
38
+ },
39
+ "CogVideoTextEncode": {
40
+ "title": "CogVideo文本编码",
41
+ "inputs": {
42
+ "clip": "CLIP"
43
+ },
44
+ "widgets": {
45
+ "prompt": "提示词"
46
+ },
47
+ "outputs": {
48
+ "conditioning": "条件"
49
+ }
50
+ },
51
+ "CogVideoSampler": {
52
+ "title": "CogVideo采样器",
53
+ "inputs": {
54
+ "pipeline": "CogVideo",
55
+ "positive": "正面条件",
56
+ "negative": "负面条件",
57
+ "samples": "Latent"
58
+ },
59
+ "widgets": {
60
+ "width": "宽度",
61
+ "height": "高度",
62
+ "num_frames": "帧数",
63
+ "fps": "帧率",
64
+ "steps": "步数",
65
+ "cfg": "CFG",
66
+ "seed": "随机种",
67
+ "control_after_generate": "运行后操作",
68
+ "scheduler": "调度器",
69
+ "t_tile_length": "分块长度",
70
+ "t_tile_overlap": "分块重叠",
71
+ "denoise_strength": "降噪"
72
+ },
73
+ "outputs": {
74
+ "cogvideo_pipe": "CogVideo",
75
+ "samples": "Latent"
76
+ }
77
+ }
78
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-ControlNeXt-SVD.json ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "DownloadAndLoadControlNeXt": {
3
+ "title": "下载并加载 ControlNeXt",
4
+ "widgets": {
5
+ "precision": "精度"
6
+ },
7
+ "outputs": {
8
+ "controlnext_pipeline": "ControlNeXt"
9
+ }
10
+ },
11
+ "ControlNextGetPoses": {
12
+ "title": "ControlNeXt 获取姿态",
13
+ "inputs": {
14
+ "ref_image": "参考图像",
15
+ "pose_images": "姿态图像"
16
+ },
17
+ "widgets": {
18
+ "include_body": "身体",
19
+ "include_hand": "手部",
20
+ "include_face": "面部"
21
+ },
22
+ "outputs": {
23
+ "poses_with_ref": "姿态与参考图像",
24
+ "pose_images": "姿态图像"
25
+ }
26
+ },
27
+ "ControlNextDiffusersScheduler": {
28
+ "title": "ControlNeXt 扩散调度器",
29
+ "widgets": {
30
+ "scheduler": "调度器",
31
+ "sigma_min": "sigma_min",
32
+ "sigma_max": "sigma_max"
33
+ },
34
+ "outputs": {
35
+ "scheduler": "调度器"
36
+ }
37
+ },
38
+ "ControlNextSVDApply": {
39
+ "title": "ControlNeXt 应用 SVD",
40
+ "inputs": {
41
+ "model": "模型",
42
+ "pose_images": "姿态图像"
43
+ },
44
+ "widgets": {
45
+ "strength": "强度",
46
+ "blocks": "blocks",
47
+ "input_block_patch_after_skip": "input_block_patch_after_skip"
48
+ },
49
+ "outputs": {
50
+ "model": "模型"
51
+ }
52
+ },
53
+ "ControlNextSampler": {
54
+ "title": "ControlNeXt 采样器",
55
+ "inputs": {
56
+ "controlnext_pipeline": "ControlNeXt",
57
+ "ref_image": "参考图像",
58
+ "pose_images": "姿态图像",
59
+ "optional_scheduler": "调度器(可选)"
60
+ },
61
+ "widgets": {
62
+ "steps": "步数",
63
+ "motion_bucket_id": "动态bucketID",
64
+ "cfg_min": "最小CFG",
65
+ "cfg_max": "最大CFG",
66
+ "seed": "随机种",
67
+ "control_before_generate": "运行前操作",
68
+ "fps": "帧率",
69
+ "controlnext_cond_scale": "ControlNeXt条件系数",
70
+ "noise_aug_strength": "噪波增强",
71
+ "context_size": "上下位长度",
72
+ "context_overlap": "上下文重叠",
73
+ "keep_model_loaded": "保持模型加载"
74
+ },
75
+ "outputs": {
76
+ "samples": "Latent"
77
+ }
78
+ },
79
+ "ControlNextDecode": {
80
+ "title": "ControlNeXt 解码",
81
+ "inputs": {
82
+ "controlnext_pipeline": "ControlNeXt",
83
+ "samples": "Latent"
84
+ },
85
+ "widgets": {
86
+ "decode_chunk_size": "decode_chunk_size"
87
+ },
88
+ "outputs": {
89
+ "images": "图像"
90
+ }
91
+ }
92
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Crystools.json ADDED
@@ -0,0 +1,328 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "Show Metadata [Crystools]": {
3
+ "title": "显示元数据",
4
+ "widgets": {
5
+ "Active": "活动",
6
+ "Parsed": "解析",
7
+ "What": "目标",
8
+ "Prompt": "提示词",
9
+ "Workflow": "工作流"
10
+ }
11
+ },
12
+ "Show any [Crystools]": {
13
+ "title": "显示任意值到控制台/节点",
14
+ "inputs": {
15
+ "any_value": "任意值"
16
+ },
17
+ "widgets": {
18
+ "console": "控制台",
19
+ "display": "节点显示",
20
+ "prefix": "前缀"
21
+ }
22
+ },
23
+ "Show any to JSON [Crystools]": {
24
+ "title": "显示任意值到JSON",
25
+ "inputs": {
26
+ "any_value": "任意值"
27
+ },
28
+ "outputs": {
29
+ "string": "字符串"
30
+ }
31
+ },
32
+
33
+
34
+ "Primitive boolean [Crystools]": {
35
+ "title": "布尔元节点",
36
+ "widgets": {
37
+ "boolean": "布尔"
38
+ },
39
+ "outputs": {
40
+ "boolean": "布尔"
41
+ }
42
+ },
43
+ "Primitive string [Crystools]": {
44
+ "title": "字符串元节点",
45
+ "widgets": {
46
+ "string": "字符串"
47
+ },
48
+ "outputs": {
49
+ "string": "字符串"
50
+ }
51
+ },
52
+ "Primitive string multiline [Crystools]": {
53
+ "title": "字符串元节点(多行)",
54
+ "widgets": {
55
+ "string": "字符串"
56
+ },
57
+ "outputs": {
58
+ "string": "字符串"
59
+ }
60
+ },
61
+ "Primitive integer [Crystools]": {
62
+ "title": "整数元节点",
63
+ "widgets": {
64
+ "int": "整数"
65
+ },
66
+ "outputs": {
67
+ "int": "整数"
68
+ }
69
+ },
70
+ "Primitive float [Crystools]": {
71
+ "title": "浮点元节点",
72
+ "widgets": {
73
+ "float": "浮点"
74
+ },
75
+ "outputs": {
76
+ "float": "浮点"
77
+ }
78
+ },
79
+
80
+
81
+ "List of any [Crystools]": {
82
+ "title": "任意列表",
83
+ "inputs": {
84
+ "any_1": "任意_1",
85
+ "any_2": "任意_2",
86
+ "any_3": "任意_3",
87
+ "any_4": "任意_4",
88
+ "any_5": "任意_5",
89
+ "any_6": "任意_6",
90
+ "any_7": "任意_7",
91
+ "any_8": "任意_8"
92
+ },
93
+ "outputs": {
94
+ "any_list": "任意列表"
95
+ }
96
+ },
97
+ "List of strings [Crystools]": {
98
+ "title": "字符串列表",
99
+ "widgets": {
100
+ "string_1": "字符串_1",
101
+ "string_2": "字符串_2",
102
+ "string_3": "字符串_3",
103
+ "string_4": "字符串_4",
104
+ "string_5": "字符串_5",
105
+ "string_6": "字符串_6",
106
+ "string_7": "字符串_7",
107
+ "string_8": "字符串_8",
108
+ "delimiter": "间隔符"
109
+ },
110
+ "outputs": {
111
+ "concatenated": "字符串合并",
112
+ "list_string": "字符串列表"
113
+ }
114
+ },
115
+ "Switch any [Crystools]": {
116
+ "title": "切换任意",
117
+ "inputs": {
118
+ "on_true": "真",
119
+ "on_false": "假"
120
+ },
121
+ "widgets": {
122
+ "boolean": "布尔"
123
+ },
124
+ "outputs": {
125
+ "*": "输出"
126
+ }
127
+ },
128
+ "Switch latent [Crystools]": {
129
+ "title": "切换Latent",
130
+ "inputs": {
131
+ "on_true": "真",
132
+ "on_false": "假"
133
+ },
134
+ "widgets": {
135
+ "boolean": "布尔"
136
+ },
137
+ "outputs": {
138
+ "latent": "Latent"
139
+ }
140
+ },
141
+ "Switch conditioning [Crystools]": {
142
+ "title": "切换条件",
143
+ "inputs": {
144
+ "on_true": "真",
145
+ "on_false": "假"
146
+ },
147
+ "widgets": {
148
+ "boolean": "布尔"
149
+ },
150
+ "outputs": {
151
+ "conditioning": "条件"
152
+ }
153
+ },
154
+ "Switch image [Crystools]": {
155
+ "title": "切换图像",
156
+ "inputs": {
157
+ "on_true": "真",
158
+ "on_false": "假"
159
+ },
160
+ "widgets": {
161
+ "boolean": "布尔"
162
+ },
163
+ "outputs": {
164
+ "image": "图像"
165
+ }
166
+ },
167
+ "Switch mask [Crystools]": {
168
+ "title": "切换遮罩",
169
+ "widgets": {
170
+ "on_true": "真",
171
+ "on_false": "假",
172
+ "boolean": "布尔"
173
+ },
174
+ "outputs": {
175
+ "mask": "字遮罩"
176
+ }
177
+ },
178
+ "Switch string [Crystools]": {
179
+ "title": "切换字符串",
180
+ "widgets": {
181
+ "on_true": "真",
182
+ "on_false": "假",
183
+ "boolean": "布尔"
184
+ },
185
+ "outputs": {
186
+ "string": "字符串"
187
+ }
188
+ },
189
+
190
+
191
+ "Pipe to/edit any [Crystools]": {
192
+ "title": "C节点束到/编辑",
193
+ "inputs": {
194
+ "CPipeAny": "C节点束",
195
+ "any_1": "任意_1",
196
+ "any_2": "任意_2",
197
+ "any_3": "任意_3",
198
+ "any_4": "任意_4",
199
+ "any_5": "任意_5",
200
+ "any_6": "任意_6"
201
+ },
202
+ "outputs": {
203
+ "CPipeAny": "C节点束"
204
+ }
205
+ },
206
+ "Pipe from any [Crystools]": {
207
+ "title": "从C节点束",
208
+ "inputs": {
209
+ "CPipeAny": "C节点束"
210
+ },
211
+ "outputs": {
212
+ "CPipeAny": "C节点束",
213
+ "any_1": "任意_1",
214
+ "any_2": "任意_2",
215
+ "any_3": "任意_3",
216
+ "any_4": "任意_4",
217
+ "any_5": "任意_5",
218
+ "any_6": "任意_6"
219
+ }
220
+ },
221
+
222
+
223
+ "Load image with metadata [Crystools]": {
224
+ "title": "加载图像元数据",
225
+ "widgets": {
226
+ "image": "图像",
227
+ "upload": "上传"
228
+ },
229
+ "outputs": {
230
+ "image": "图像",
231
+ "mask": "遮罩",
232
+ "prompt": "提示词",
233
+ "Metadata RAW": "元数据"
234
+ }
235
+ },
236
+ "Get resolution [Crystools]": {
237
+ "title": "获取分辨率",
238
+ "inputs": {
239
+ "image": "图像"
240
+ },
241
+ "outputs": {
242
+ "width": "宽度",
243
+ "height": "高度"
244
+ }
245
+ },
246
+ "Preview from image [Crystools]": {
247
+ "title": "图像预览",
248
+ "inputs": {
249
+ "image": "图像"
250
+ },
251
+ "outputs": {
252
+ "Metadata RAW": "元数据"
253
+ }
254
+ },
255
+ "Preview from metadata [Crystools]": {
256
+ "title": "元数据预览",
257
+ "inputs": {
258
+ "metadata_raw": "元数据"
259
+ },
260
+ "outputs": {
261
+ "Metadata RAW": "元数据"
262
+ }
263
+ },
264
+ "Save image with extra metadata [Crystools]": {
265
+ "title": "保存图像与额外数据",
266
+ "inputs": {
267
+ "image": "图像"
268
+ },
269
+ "widgets": {
270
+ "filename_prefix": "文件名前缀",
271
+ "with_workflow": "保存工作流",
272
+ "metadata_extra": "额外数据"
273
+ },
274
+ "outputs": {
275
+ "Metadata RAW": "元数据"
276
+ }
277
+ },
278
+
279
+
280
+ "Metadata extractor [Crystools]": {
281
+ "title": "元数据解码",
282
+ "inputs": {
283
+ "metadata_raw": "元数据"
284
+ },
285
+ "outputs": {
286
+ "prompt": "提示词",
287
+ "workflow": "工作流",
288
+ "file info": "文件信息",
289
+ "raw to JSON": "JSON",
290
+ "raw to property": "属性",
291
+ "raw to csv": "CSV"
292
+ }
293
+ },
294
+ "Metadata comparator [Crystools]": {
295
+ "title": "元数据对比",
296
+ "inputs": {
297
+ "metadata_raw_old": "元数据_旧",
298
+ "metadata_raw_new": "元数据_新"
299
+ },
300
+ "widgets": {
301
+ "what": "目标"
302
+ },
303
+ "outputs": {
304
+ "diff": "差值"
305
+ }
306
+ },
307
+
308
+
309
+ "Json comparator [Crystools]": {
310
+ "title": "JSON对比",
311
+ "inputs": {
312
+ "json_old": "JSON旧",
313
+ "json_new": "JSON新"
314
+ },
315
+ "outputs": {
316
+ "json_compared": "对比结果"
317
+ }
318
+ },
319
+ "Stats system [Crystools]": {
320
+ "title": "数据系统",
321
+ "inputs": {
322
+ "latent": "Latent"
323
+ },
324
+ "outputs": {
325
+ "latent": "Latent"
326
+ }
327
+ }
328
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Custom-Scripts.json ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "LoraLoader|pysssss": {
3
+ "title": "LoRA加载器(pysss)",
4
+ "inputs": {
5
+ "model": "模型",
6
+ "clip": "CLIP"
7
+ },
8
+ "widgets": {
9
+ "lora_name": "LoRA名称",
10
+ "strength_model": "模型强度",
11
+ "strength_clip": "CLIP强度"
12
+ },
13
+ "outputs": {
14
+ "MODEL": "模型",
15
+ "CLIP": "CLIP"
16
+ }
17
+ },
18
+ "CheckpointLoader|pysssss": {
19
+ "title": "Checkpoint加载器(pysss)",
20
+ "widgets": {
21
+ "ckpt_name": "Checkpoint名称"
22
+ },
23
+ "outputs": {
24
+ "MODEL": "模型",
25
+ "CLIP": "CLIP",
26
+ "VAE": "VAE"
27
+ }
28
+ },
29
+
30
+ "ConstrainImageforVideo|pysssss": {
31
+ "title": "限制图像为视频",
32
+ "inputs": {
33
+ "images": "图像"
34
+ },
35
+ "widgets": {
36
+ "max_width": "最大宽度",
37
+ "max_height": "最大高度",
38
+ "min_width": "最小宽度",
39
+ "min_height": "最小高度",
40
+ "crop_if_required": "裁剪"
41
+ },
42
+ "outputs": {
43
+ "IMAGE": "图像"
44
+ }
45
+ },
46
+ "ConstrainImage|pysssss": {
47
+ "title": "限制图像区域",
48
+ "inputs": {
49
+ "images": "图像"
50
+ },
51
+ "widgets": {
52
+ "max_width": "最大宽度",
53
+ "max_height": "最大高度",
54
+ "min_width": "最小宽度",
55
+ "min_height": "最小高度",
56
+ "crop_if_required": "裁剪",
57
+ "yes": "是",
58
+ "no": "否"
59
+ },
60
+ "outputs": {
61
+ "IMAGE": "图像"
62
+ }
63
+ },
64
+
65
+ "MathExpression|pysssss": {
66
+ "title": "数学表达式",
67
+ "inputs": {
68
+ "a": "a",
69
+ "b": "b",
70
+ "c": "c"
71
+ },
72
+ "widgets": {
73
+ "expression": "表达式"
74
+ },
75
+ "outputs": {
76
+ "INT": "整数",
77
+ "FLOAT": "浮点"
78
+ }
79
+ },
80
+ "PlaySound|pysssss": {
81
+ "title": "播放声音",
82
+ "inputs": {
83
+ "any": "输入"
84
+ },
85
+ "widgets": {
86
+ "mode": "模式",
87
+ "alway": "总是",
88
+ "on empty queue": "空队列",
89
+ "volume": "音量"
90
+ }
91
+ },
92
+ "Repeater|pysssss": {
93
+ "title": "复制器",
94
+ "inputs": {
95
+ "source": "源"
96
+ },
97
+ "widgets": {
98
+ "repeats": "复制次数",
99
+ "output": "输出",
100
+ "single": "单个",
101
+ "multi": "多个",
102
+ "node_mode": "节点模式",
103
+ "reuse": "复用",
104
+ "create": "生成"
105
+ },
106
+ "outputs": {
107
+ "*": "输出"
108
+ }
109
+ },
110
+ "ReroutePrimitive|pysssss": {
111
+ "title": "Primitive连接点",
112
+ "inputs": {
113
+ "value": "值"
114
+ },
115
+ "outputs": {
116
+ "*": "输出"
117
+ }
118
+ },
119
+ "ReroutePrimitve 🐍": {
120
+ "title": "Primitive连接点",
121
+ "inputs": {
122
+ "value": "值"
123
+ },
124
+ "outputs": {
125
+ "*": "输出"
126
+ }
127
+ },
128
+ "ShowText|pysssss": {
129
+ "title": "展示文本",
130
+ "widgets": {
131
+ "text": "文本"
132
+ },
133
+ "outputs": {
134
+ "STRING": "字符串"
135
+ }
136
+ },
137
+ "StringFunction|pysssss": {
138
+ "title": "字符串操作",
139
+ "widgets": {
140
+ "action": "操作",
141
+ "append": "相加",
142
+ "replace": "替换",
143
+ "tidy_tags": "整理词条",
144
+ "yes": "是",
145
+ "no": "否",
146
+ "text_a": "文本_A",
147
+ "text_b": "文本_B",
148
+ "text_c": "文本_C"
149
+ },
150
+ "outputs": {
151
+ "STRING": "字符串"
152
+ }
153
+ },
154
+ "LoadText|pysssss": {
155
+ "title": "加载文本",
156
+ "widgets": {
157
+ "root_dir": "根目录",
158
+ "input": "输入",
159
+ "output": "输出",
160
+ "temp": "缓存",
161
+ "file": "文件"
162
+ },
163
+ "outputs": {
164
+ "STRING": "字符串"
165
+ }
166
+ },
167
+ "SaveText|pysssss": {
168
+ "title": "保存文本",
169
+ "widgets": {
170
+ "root_dir": "根目录",
171
+ "input": "输入",
172
+ "output": "输出",
173
+ "temp": "缓存",
174
+ "file": "文件",
175
+ "append": "附加",
176
+ "overwrite": "覆盖",
177
+ "new only": "仅新文件",
178
+ "insert": "插入",
179
+ "text": "文本"
180
+ }
181
+ },
182
+
183
+ "PresetText|pysssss": {
184
+ "title": "预设文本",
185
+ "widgets": {
186
+ "value": "值",
187
+ "Manage": "管理"
188
+ },
189
+ "outputs": {
190
+ "text": "文本"
191
+ }
192
+ },
193
+ "SystemNotification|pysssss": {
194
+ "title": "系统通知",
195
+ "inputs": {
196
+ "any": "���入"
197
+ },
198
+ "widgets": {
199
+ "message": "消息",
200
+ "mode": "模式"
201
+ },
202
+ "outputs": {
203
+ "*": "输出"
204
+ }
205
+ }
206
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-DynamiCrafterWrapper.json ADDED
@@ -0,0 +1,118 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "DynamiCrafterModelLoader": {
3
+ "title": "DynamiCrafter模型加载器",
4
+ "inputs": {
5
+ "opt_openclippath": "CLIP路径(可选)"
6
+ },
7
+ "widgets": {
8
+ "ckpt_name": "模型名称",
9
+ "dtype": "剪枝类型",
10
+ "fp8_unet": "fp8_unet"
11
+ },
12
+ "outputs": {
13
+ "DynCraft_model": "DynamiCrafter模型"
14
+ }
15
+ },
16
+ "DownloadAndLoadDynamiCrafterModel": {
17
+ "title": "下载DynamiCrafter模型",
18
+ "inputs": {
19
+ "opt_openclippath": "CLIP路径(可选)"
20
+ },
21
+ "widgets": {
22
+ "model": "模型",
23
+ "dtype": "剪枝类型",
24
+ "fp8_unet": "fp8_unet"
25
+ },
26
+ "outputs": {
27
+ "DynCraft_model": "DynamiCrafter模型"
28
+ }
29
+ },
30
+ "DynamiCrafterBatchInterpolation": {
31
+ "title": "DynamiCrafter批次插值",
32
+ "inputs": {
33
+ "model": "DynamiCrafter模型",
34
+ "images": "图像"
35
+ },
36
+ "widgets": {
37
+ "steps": "步数",
38
+ "cfg": "CFG",
39
+ "eta": "eta",
40
+ "frames": "帧数",
41
+ "prompt": "提示词",
42
+ "seed": "随机种",
43
+ "control_before_generate": "运行前操作",
44
+ "fs": "fs",
45
+ "keep_model_loaded": "保持模型加载",
46
+ "vae_dtype": "VAE剪枝",
47
+ "cut_near_keyframes": "移除关键帧附近帧"
48
+ },
49
+ "outputs": {
50
+ "images": "图像",
51
+ "last_image": "末尾图像"
52
+ }
53
+ },
54
+ "DynamiCrafterI2V": {
55
+ "title": "DynamiCrafter图生视频",
56
+ "inputs": {
57
+ "model": "DynamiCrafter模型",
58
+ "image": "图像",
59
+ "image2": "图像2",
60
+ "mask": "遮罩"
61
+ },
62
+ "widgets": {
63
+ "steps": "步数",
64
+ "cfg": "CFG",
65
+ "eta": "eta",
66
+ "frames": "帧数",
67
+ "prompt": "提示词",
68
+ "seed": "随机种",
69
+ "control_before_generate": "运行前操作",
70
+ "fs": "fs",
71
+ "keep_model_loaded": "保持模型加载",
72
+ "vae_dtype": "VAE剪枝",
73
+ "frame_window_size": "帧窗口尺寸",
74
+ "frame_window_stride": "帧窗口步长"
75
+ },
76
+ "outputs": {
77
+ "images": "图像",
78
+ "last_image": "末尾图像"
79
+ }
80
+ },
81
+ "OpenCLIPVisionSelect": {
82
+ "title": "选择CLIPVision",
83
+ "inputs": {
84
+ "clip_name": "CLIP"
85
+ },
86
+ "outputs": {
87
+ "OPENCLIPVISIONPATH": "CLIPVision路径"
88
+ }
89
+ },
90
+ "ToonCrafterI2V": {
91
+ "title": "ToonCrafter图生视频",
92
+ "inputs": {
93
+ "model": "DynamiCrafter模型",
94
+ "image": "图像1",
95
+ "image2": "图像2",
96
+ "mask": "遮罩"
97
+ },
98
+ "widgets": {
99
+ "steps": "步数",
100
+ "cfg": "CFG",
101
+ "eta": "eta",
102
+ "frames": "帧数",
103
+ "prompt": "提示词",
104
+ "seed": "随机种",
105
+ "control_after_generate": "运行后操作",
106
+ "fs": "fs",
107
+ "keep_model_loaded": "保持模型加载",
108
+ "vae_dtype": "VAE剪枝",
109
+ "frame_window_size": "帧窗口尺寸",
110
+ "frame_window_stride": "帧窗口步长",
111
+ "num_videos": "视频数量",
112
+ "prune_first_las": "prune_first_las"
113
+ },
114
+ "outputs": {
115
+ "images": "图像"
116
+ }
117
+ }
118
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-ELLA.json ADDED
@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "EllaApply": {
3
+ "title": "应用ELLA",
4
+ "inputs": {
5
+ "model": "模型",
6
+ "ella": "ELLA",
7
+ "positive": "正面ELLA嵌入组",
8
+ "negative": "负面ELLA嵌入组"
9
+ },
10
+ "outputs": {
11
+ "model": "模型",
12
+ "positive": "正面条件",
13
+ "negative": "负面条件"
14
+ }
15
+ },
16
+ "T5TextEncode #ELLA": {
17
+ "title": "T5文本编码",
18
+ "inputs": {
19
+ "text_encoder": "文本编码器"
20
+ },
21
+ "widgets": {
22
+ "text": "文本"
23
+ },
24
+ "outputs": {
25
+ "ELLA_EMBEDS": "ELLA嵌入组"
26
+ }
27
+ },
28
+ "ELLALoader": {
29
+ "title": "ELLA加载器",
30
+ "widgets": {
31
+ "name": "名称"
32
+ },
33
+ "outputs": {
34
+ "ELLA": "ELLA"
35
+ }
36
+ },
37
+ "T5TextEncoderLoader #ELLA": {
38
+ "title": "T5文本编码加载器",
39
+ "widgets": {
40
+ "name": "名称",
41
+ "max_length": "最大长度",
42
+ "dtype": "剪枝类型"
43
+ },
44
+ "outputs": {
45
+ "T5_TEXT_ENCODER": "T5文本编码器"
46
+ }
47
+ },
48
+ "EllaCombineEmbeds": {
49
+ "title": "ELLA合并嵌入组",
50
+ "inputs": {
51
+ "embeds": "嵌入组",
52
+ "embeds_add": "嵌入组_添加"
53
+ },
54
+ "outputs": {
55
+ "ELLA_EMBEDS": "ELLA嵌入组"
56
+ }
57
+ },
58
+ "ConditionToEllaEmbeds": {
59
+ "title": "条件到ELLA嵌入组",
60
+ "inputs": {
61
+ "cond": "条件"
62
+ },
63
+ "outputs": {
64
+ "ELLA_EMBEDS": "ELLA嵌入组"
65
+ }
66
+ },
67
+ "ConcatConditionEllaEmbeds": {
68
+ "title": "条件联结ELLA嵌入组",
69
+ "inputs": {
70
+ "cond": "条件",
71
+ "embeds": "嵌入组"
72
+ },
73
+ "outputs": {
74
+ "ELLA_EMBEDS": "ELLA嵌入组"
75
+ }
76
+ },
77
+ "CombineClipEllaEmbeds": {
78
+ "title": "合并CLIPELLA嵌入组",
79
+ "inputs": {
80
+ "cond": "条件",
81
+ "embeds": "嵌入组"
82
+ },
83
+ "outputs": {
84
+ "ELLA_EMBEDS": "ELLA嵌入组"
85
+ }
86
+ },
87
+ "SetEllaTimesteps": {
88
+ "title": "设置ELLA间隔",
89
+ "inputs": {
90
+ "model": "模型",
91
+ "ella": "ELLA",
92
+ "sigmas": "Sigmas"
93
+ },
94
+ "widgets": {
95
+ "scheduler": "调度器",
96
+ "steps": "步数",
97
+ "denoise": "降噪"
98
+ },
99
+ "outputs": {
100
+ "ELLA": "ELLA"
101
+ }
102
+ },
103
+ "EllaEncode": {
104
+ "title": "ELLA编码",
105
+ "inputs": {
106
+ "ella": "ELLA",
107
+ "embeds": "嵌入组"
108
+ },
109
+ "outputs": {
110
+ "CONDITIONING": "条件"
111
+ }
112
+ },
113
+ "EllaTextEncode": {
114
+ "title": "ELLA文本编码",
115
+ "inputs": {
116
+ "ella": "ELLA",
117
+ "text_encoder": "文本编码器",
118
+ "clip": "CLIP"
119
+ },
120
+ "widgets": {
121
+ "text": "文本",
122
+ "text_clip": "CLIP文本"
123
+ },
124
+ "outputs": {
125
+ "CONDITIONING": "条件",
126
+ "CLIP CONDITIONING": "CLIP条件"
127
+ }
128
+ }
129
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Easy-Tools.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "ChatGPTPrompt": {
3
+ "title": "ChatGPT提示词",
4
+ "widgets": {
5
+ "model": "模型",
6
+ "user_prompt": "提示词"
7
+ },
8
+ "outputs": {
9
+ "description": "画面描述",
10
+ "positive_prompt": "正面提示词",
11
+ "negative_prompt": "负面提示词",
12
+ "positive_prompt_translate": "正面提示词(中文)",
13
+ "negative_prompt_translate": "负面提示词(中文)"
14
+ }
15
+ }
16
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Easy-Use.json ADDED
@@ -0,0 +1,3034 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
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "easy bookmark": {
3
+ "title": "书签 🔖",
4
+ "widgets":{
5
+ "shortcut_key": "快捷键",
6
+ "zoom": "缩放比例"
7
+ }
8
+ },
9
+ "easy setNode": {
10
+ "title": "设置点",
11
+ "widgets":{
12
+ "Constant": "变量名"
13
+ }
14
+ },
15
+ "easy getNode": {
16
+ "title": "获取点",
17
+ "widgets":{
18
+ "Constant": "变量名"
19
+ }
20
+ },
21
+ "easy positive":{
22
+ "title": "正面提示词",
23
+ "outputs": {
24
+ "positive": "正面提示词"
25
+ }
26
+ },
27
+ "easy negative":{
28
+ "title": "负面提示词",
29
+ "outputs": {
30
+ "negative": "负面提示词"
31
+ }
32
+ },
33
+ "easy wildcards":{
34
+ "title": "通配符提示词",
35
+ "widgets": {
36
+ "Select to add LoRA": "选择添加Lora",
37
+ "Select to add Wildcard": "选择添加通配符",
38
+ "seed_num": "随机种",
39
+ "seed": "随机种",
40
+ "control_before_generate": "运行前操作",
41
+ "multiline_mode": "多行模式"
42
+ },
43
+ "outputs": {
44
+ "text": "提示词",
45
+ "populated_text": "通配填充词"
46
+ }
47
+ },
48
+ "easy promptList": {
49
+ "title": "提示词列表",
50
+ "inputs": {
51
+ "optional_prompt_list": "列表(可选)"
52
+ },
53
+ "outputs": {
54
+ "prompt_list": "列表"
55
+ }
56
+ },
57
+ "easy promptLine": {
58
+ "title": "提示词行",
59
+ "widgets": {
60
+ "prompt": "提示词",
61
+ "start_index": "起始索引",
62
+ "max_rows": "最大行数"
63
+ },
64
+ "outputs": {
65
+ "STRING": "字符串",
66
+ "COMBO": "COMBO"
67
+ }
68
+ },
69
+ "easy promptConcat": {
70
+ "title": "提示词联结",
71
+ "inputs": {
72
+ "prompt1": "提示词1",
73
+ "prompt2": "提示词2"
74
+ },
75
+ "widgets": {
76
+ "separator": "间隔符"
77
+ },
78
+ "outputs": {
79
+ "prompt": "提示词"
80
+ }
81
+ },
82
+ "easy promptReplace": {
83
+ "title": "提示词替换",
84
+ "inputs": {
85
+ "prompt": "提示词"
86
+ },
87
+ "widgets": {
88
+ "find1": "搜索_1",
89
+ "replace1": "替换_1",
90
+ "find2": "搜索_2",
91
+ "replace2": "替换_2",
92
+ "find3": "搜索_3",
93
+ "replace3": "替换_3"
94
+ },
95
+ "outputs": {
96
+ "prompt": "提示词"
97
+ }
98
+ },
99
+ "easy stylesSelector": {
100
+ "title": "风格提示词选择器",
101
+ "inputs": {
102
+ "positive": "正面提示词(可选)",
103
+ "negative": "负面提示词(可选)"
104
+ },
105
+ "widgets": {
106
+ "styles": "风格类型"
107
+ },
108
+ "outputs": {
109
+ "positive": "正面提示词",
110
+ "negative": "负面提示词"
111
+ }
112
+ },
113
+ "easy portraitMaster": {
114
+ "title": "肖像大师",
115
+ "widgets": {
116
+ "shot": "镜头",
117
+ "shot_weight": "镜头比重",
118
+ "gender": "性别",
119
+ "age": "年龄",
120
+ "nationality_1": "国籍1",
121
+ "nationality_2": "国籍2",
122
+ "nationality_mix": "国籍融合比重",
123
+ "body_type": "体型",
124
+ "body_type_weight": "体型比重",
125
+ "model_pose": "模特姿势 (Pose)",
126
+ "eyes_color": "眼睛颜色",
127
+ "facial_expression": "面部表情",
128
+ "facial_expression_weight": "面部表情比重",
129
+ "face_shape": "脸型",
130
+ "face_shape_weight": "脸型比重",
131
+ "facial_asymmetry": "面部对称比重",
132
+ "hair_style": "发型",
133
+ "hair_color": "发色",
134
+ "disheveled": "头发蓬松程度",
135
+ "beard": "胡子",
136
+ "skin_details": "皮肤细节",
137
+ "skin_pores": "皮肤毛孔",
138
+ "dimples": "酒窝",
139
+ "wrinkles": "皱纹",
140
+ "freckles": "雀斑",
141
+ "moles": "痣",
142
+ "skin_imperfections": "皮肤瑕疵",
143
+ "skin_acne": "皮肤痤疮",
144
+ "tanned_skin": "晒黑的皮肤",
145
+ "eyes_details": "眼睛细节",
146
+ "iris_details": "虹膜细节",
147
+ "circular_iris": "圆形虹膜",
148
+ "circular_pupil": "圆形瞳孔",
149
+ "light_type": "光源类型",
150
+ "light_direction": "光源方向",
151
+ "light_weight": "光源比重",
152
+ "photorealism_improvement": "照片真实度"
153
+ },
154
+ "outputs": {
155
+ "positive": "正面提示词",
156
+ "negative": "负面提示词"
157
+ }
158
+ },
159
+ "easy fullLoader": {
160
+ "title": "简易加载器 (完整版)",
161
+ "inputs": {
162
+ "optional_lora_stack": "LoRA堆(可选)",
163
+ "model_override": "模型(可选)",
164
+ "vae_override": "VAE(可选)",
165
+ "clip_override": "CLIP(可选)"
166
+ },
167
+ "widgets": {
168
+ "ckpt_name": "模型名称",
169
+ "config_name": "配置名称",
170
+ "vae_name": "VAE名称",
171
+ "clip_skip": "Clip停止层",
172
+ "lora_name": "LoRA名称",
173
+ "lora_model_strength": "模型强度",
174
+ "lora_clip_strength": "CLIP强度",
175
+ "resolution": "分辨率",
176
+ "empty_latent_width": "宽度",
177
+ "empty_latent_height": "高度",
178
+ "batch_size": "批次大小",
179
+ "positive": "正面提示词",
180
+ "positive_token_normalization": "正面Token规格化",
181
+ "positive_weight_interpretation": "正面权重插值方式",
182
+ "negative": "负面提示词",
183
+ "negative_token_normalization": "负面Token规格化",
184
+ "negative_weight_interpretation": "负面权重插值方式",
185
+ "a1111_prompt_style": "A1111提示词风格"
186
+ },
187
+ "outputs": {
188
+ "pipe": "节点束",
189
+ "model": "模型"
190
+ }
191
+ },
192
+ "easy a1111Loader": {
193
+ "title": "简易加载器(A1111)",
194
+ "inputs": {
195
+ "optional_lora_stack": "LoRA堆(可选)"
196
+ },
197
+ "widgets": {
198
+ "ckpt_name": "模型名称",
199
+ "vae_name": "VAE",
200
+ "clip_skip": "Clip停止层",
201
+ "lora_name": "LoRA模型",
202
+ "lora_model_strength": "模型强度",
203
+ "lora_clip_strength": "CLIP强度",
204
+ "resolution": "分辨率",
205
+ "empty_latent_width": "宽度",
206
+ "empty_latent_height": "高度",
207
+ "batch_size": "批次大小",
208
+ "positive": "正面提示词",
209
+ "negative": "负面提示词",
210
+ "a1111_prompt_style": "A1111提示词风格"
211
+ },
212
+ "outputs": {
213
+ "pipe": "节点束",
214
+ "model": "模型"
215
+ }
216
+ },
217
+ "easy comfyLoader": {
218
+ "title": "简易加载器(Comfy)",
219
+ "inputs": {
220
+ "optional_lora_stack": "LoRA堆(可选)"
221
+ },
222
+ "widgets": {
223
+ "ckpt_name": "模型名称",
224
+ "vae_name": "VAE",
225
+ "clip_skip": "Clip停止层",
226
+ "lora_name": "LoRA模型",
227
+ "lora_model_strength": "模型强度",
228
+ "lora_clip_strength": "CLIP强度",
229
+ "resolution": "分辨率",
230
+ "empty_latent_width": "宽度",
231
+ "empty_latent_height": "高度",
232
+ "batch_size": "批次大小",
233
+ "positive": "正面提示词",
234
+ "negative": "负面提示词"
235
+ },
236
+ "outputs": {
237
+ "pipe": "节点束",
238
+ "model": "模型"
239
+ }
240
+ },
241
+ "easy hunyuanDiTLoader": {
242
+ "title": "简易加载器(HunYuan)",
243
+ "inputs": {
244
+ "optional_lora_stack": "LoRA堆(可选)",
245
+ "optional_controlnet_stack": "ControlNet堆(可选)"
246
+ },
247
+ "widgets": {
248
+ "ckpt_name": "模型名称",
249
+ "vae_name": "VAE",
250
+ "lora_name": "LoRA模型",
251
+ "resolution": "分辨率",
252
+ "positive": "正面提示词",
253
+ "negative": "负面提示词",
254
+ "batch_size": "批次大小"
255
+ },
256
+ "outputs": {
257
+ "pipe": "节点束",
258
+ "model": "模型",
259
+ "vae": "VAE"
260
+ }
261
+ },
262
+ "easy cascadeLoader": {
263
+ "title": "简易加载器(Cascade)",
264
+ "inputs": {
265
+ "optional_lora_stack": "LoRA堆(可选)"
266
+ },
267
+ "widgets": {
268
+ "clip_name": "CLIP模型",
269
+ "lora_name": "LoRA名称",
270
+ "resolution": "分辨率",
271
+ "compression": "压缩等级",
272
+ "empty_latent_width": "宽度",
273
+ "empty_latent_height": "高度",
274
+ "batch_size": "批次大小",
275
+ "positive": "正面提示词",
276
+ "negative": "负面提示词",
277
+ "a1111_prompt_style": "A1111提示词风格"
278
+ },
279
+ "outputs": {
280
+ "pipe": "节点束",
281
+ "model_c": "模型_C",
282
+ "latent_c": "Latent_C"
283
+ }
284
+ },
285
+ "easy kolorsLoader": {
286
+ "title": "简易加载器(Kolors)",
287
+ "inputs": {
288
+ "optional_lora_stack": "LoRA堆(可选)",
289
+ "optional_controlnet_stack": "ControlNet堆(可选)"
290
+ },
291
+ "widgets": {
292
+ "unet_name": "UNET名称",
293
+ "vae_name": "VAE",
294
+ "chatglm3_name": "ChatGLM3名称",
295
+ "lora_name": "LoRA模型",
296
+ "resolution": "分辨率",
297
+ "positive": "正面提示词",
298
+ "negative": "负面提示词",
299
+ "batch_size": "批次大小",
300
+ "auto_clean_gpu": "自动清理GPU"
301
+ },
302
+ "outputs": {
303
+ "pipe": "节点束",
304
+ "model": "模型",
305
+ "vae": "VAE"
306
+ }
307
+ },
308
+ "easy fluxLoader": {
309
+ "title": "简易加��器(Flux)",
310
+ "inputs": {
311
+ "model_override": "模型(可选)",
312
+ "clip_override": "CLIP(可选)",
313
+ "vae_override": "VAE(可选)",
314
+ "optional_lora_stack": "LoRA堆(可选)",
315
+ "optional_controlnet_stack": "ControlNet堆(可选)"
316
+ },
317
+ "widgets": {
318
+ "ckpt_name": "模型名称",
319
+ "vae_name": "VAE",
320
+ "lora_name": "LoRA模型",
321
+ "resolution": "分辨率",
322
+ "positive": "正面提示词",
323
+ "batch_size": "批次大小"
324
+ },
325
+ "outputs": {
326
+ "pipe": "节点束",
327
+ "model": "模型",
328
+ "vae": "VAE"
329
+ }
330
+ },
331
+ "easy pixArtLoader": {
332
+ "title": "简易加载器(PixArt)",
333
+ "inputs": {
334
+ "optional_lora_stack": "LoRA堆(可选)"
335
+ },
336
+ "widgets": {
337
+ "ckpt_name": "模型名称",
338
+ "model_name": "模型名称",
339
+ "vae_name": "VAE",
340
+ "t5_type": "T5类型",
341
+ "clip_name": "CLIP模型",
342
+ "padding": "分块",
343
+ "lora_name": "LoRA模型",
344
+ "ratio": "ratio",
345
+ "positive": "正面提示词",
346
+ "negative": "负面提示词",
347
+ "batch_size": "批次大小"
348
+ },
349
+ "outputs": {
350
+ "pipe": "节点束",
351
+ "model": "模型",
352
+ "vae": "VAE"
353
+ }
354
+ },
355
+ "easy zero123Loader": {
356
+ "title": "简易加载器(Zero123)",
357
+ "inputs": {
358
+ "init_image": "图像"
359
+ },
360
+ "widgets": {
361
+ "ckpt_name": "模型名称",
362
+ "vae_name": "VAE",
363
+ "resolution": "分辨率",
364
+ "empty_latent_width": "宽度",
365
+ "empty_latent_height": "高度",
366
+ "batch_size": "批次大小",
367
+ "positive": "正面提示词",
368
+ "negative": "负面提示词",
369
+ "elevation": "俯仰角",
370
+ "azimuth": "方位角"
371
+ },
372
+ "outputs": {
373
+ "pipe": "节点束",
374
+ "model": "模型"
375
+ }
376
+ },
377
+ "easy dynamiCrafterLoader": {
378
+ "title": "简易加载器(DynamiCrafter)",
379
+ "inputs": {
380
+ "init_image": "图像",
381
+ "optional_vae": "VAE(可选)"
382
+ },
383
+ "widgets": {
384
+ "model_name": "模型名称",
385
+ "clip_skip": "CLIP停止层",
386
+ "resolution": "分辨率",
387
+ "positive": "正面提示词",
388
+ "negative": "负面提示词",
389
+ "use_interpolate": "使用插值",
390
+ "fps": "帧率",
391
+ "frames": "帧数",
392
+ "scale_latents": "缩放Latent"
393
+ },
394
+ "outputs": {
395
+ "pipe": "节点束",
396
+ "model": "模型",
397
+ "vae": "VAE"
398
+ }
399
+ },
400
+ "easy svdLoader": {
401
+ "title": "简易加载器(SVD)",
402
+ "inputs": {
403
+ "init_image": "图像"
404
+ },
405
+ "widgets": {
406
+ "ckpt_name": "模型名称",
407
+ "vae_name": "VAE",
408
+ "clip_name": "CLIP模型",
409
+ "resolution": "分辨率",
410
+ "empty_latent_width": "宽度",
411
+ "empty_latent_height": "高度",
412
+ "video_frames": "帧数",
413
+ "motion_bucket_id": "动态桶ID",
414
+ "negative": "负面提示词",
415
+ "fps": "帧率",
416
+ "augmentation_level": "增强"
417
+ },
418
+ "outputs": {
419
+ "pipe": "节点束",
420
+ "model": "模型"
421
+ }
422
+ },
423
+ "easy sv3dLoader": {
424
+ "title": "简易加载器(SV3D)",
425
+ "inputs": {
426
+ "init_image": "图像"
427
+ },
428
+ "widgets": {
429
+ "ckpt_name": "模型名称",
430
+ "vae_name": "VAE",
431
+ "empty_latent_height": "高度",
432
+ "empty_latent_width": "宽度",
433
+ "batch_size": "批次大小",
434
+ "interp_easing": "插值渐变",
435
+ "easing_mode": "渐变模式"
436
+ },
437
+ "outputs": {
438
+ "pipe": "节点束",
439
+ "model": "模型",
440
+ "interp_log": "插值日志"
441
+ }
442
+ },
443
+ "easy loraStack": {
444
+ "title": "简易Lora堆",
445
+ "inputs": {
446
+ "optional_lora_stack": "LoRA堆(可选)"
447
+ },
448
+ "widgets": {
449
+ "toggle": "开关",
450
+ "mode": "模式",
451
+ "num_loras": "LoRA数量",
452
+ "lora_1_name": "LoRA_1_名称",
453
+ "lora_1_strength": "LoRA_1_权重",
454
+ "lora_2_name": "LoRA_2_名称",
455
+ "lora_2_strength": "LoRA_2_权重",
456
+ "lora_3_name": "LoRA_3_名称",
457
+ "lora_3_strength": "LoRA_3_权重",
458
+ "lora_4_name": "LoRA_4_名称",
459
+ "lora_4_strength": "LoRA_4_权重",
460
+ "lora_5_name": "LoRA_5_名称",
461
+ "lora_5_strength": "LoRA_5_权重",
462
+ "lora_6_name": "LoRA_6_名称",
463
+ "lora_6_strength": "LoRA_6_权重",
464
+ "lora_7_name": "LoRA_7_名称",
465
+ "lora_7_strength": "LoRA_7_权重",
466
+ "lora_8_name": "LoRA_8_名称",
467
+ "lora_8_strength": "LoRA_8_权重",
468
+ "lora_9_name": "LoRA_9_名称",
469
+ "lora_9_strength": "LoRA_9_权重",
470
+ "lora_10_name": "LoRA_10_名称",
471
+ "lora_10_strength": "LoRA_10_权重"
472
+ },
473
+ "outputs": {
474
+ "lora_stack": "LoRA堆"
475
+ }
476
+ },
477
+ "easy controlnetStack": {
478
+ "title": "简易 ControlNet 堆",
479
+ "inputs": {
480
+ "optional_controlnet_stack": "ControlNet堆(可选)",
481
+ "image_1": "图像_1",
482
+ "image_2": "图像_2",
483
+ "image_3": "图像_3",
484
+ "image_4": "图像_4",
485
+ "image_5": "图像_5",
486
+ "image_6": "图像_6",
487
+ "image_7": "图像_7",
488
+ "image_8": "图像_8",
489
+ "image_9": "图像_9",
490
+ "image_10": "图像_10"
491
+ },
492
+ "widgets": {
493
+ "toggle": "开关",
494
+ "mode": "模式",
495
+ "num_controlnet": "ControlNet数量",
496
+ "controlnet_1": "ControlNet_1_名称",
497
+ "controlnet_1_strength": "ControlNet_1_权重",
498
+ "start_percent_1": "开始位置_1",
499
+ "end_percent_1": "结束位置_1",
500
+ "scale_soft_weight_1": "ControlNet_1_柔和缩放",
501
+ "controlnet_2": "ControlNet_2_名称",
502
+ "controlnet_2_strength": "ControlNet_2_权重",
503
+ "start_percent_2": "开始位置_2",
504
+ "end_percent_2": "结束位置_2",
505
+ "scale_soft_weight_2": "ControlNet_2_柔和缩放",
506
+ "controlnet_3": "ControlNet_3_名称",
507
+ "controlnet_3_strength": "ControlNet_3_权重",
508
+ "start_percent_3": "开始位置_3",
509
+ "end_percent_3": "结束位置_3",
510
+ "scale_soft_weight_3": "ControlNet_3_柔和缩放",
511
+ "controlnet_4": "ControlNet_4_名称",
512
+ "controlnet_4_strength": "ControlNet_4_权重",
513
+ "start_percent_4": "开始位置_4",
514
+ "end_percent_4": "结束位置_4",
515
+ "scale_soft_weight_4": "ControlNet_4_柔和缩放",
516
+ "controlnet_5": "ControlNet_5_名称",
517
+ "controlnet_5_strength": "ControlNet_5_权重",
518
+ "start_percent_5": "开始位置_5",
519
+ "end_percent_5": "结束位置_5",
520
+ "scale_soft_weight_5": "ControlNet_5_柔和缩放",
521
+ "controlnet_6": "ControlNet_6_名称",
522
+ "controlnet_6_strength": "ControlNet_6_权重",
523
+ "start_percent_6": "开始位置_6",
524
+ "end_percent_6": "结束位置_6",
525
+ "scale_soft_weight_6": "ControlNet_6_柔和缩放",
526
+ "controlnet_7": "ControlNet_7_名称",
527
+ "controlnet_7_strength": "ControlNet_7_权重",
528
+ "start_percent_7": "开始位置_7",
529
+ "end_percent_7": "结束位置_7",
530
+ "scale_soft_weight_7": "ControlNet_7_柔和缩放",
531
+ "controlnet_8": "ControlNet_8_名称",
532
+ "controlnet_8_strength": "ControlNet_8_权重",
533
+ "start_percent_8": "开始位置_8",
534
+ "end_percent_8": "结束位置_8",
535
+ "scale_soft_weight_8": "ControlNet_8_柔和缩放",
536
+ "controlnet_9": "ControlNet_9_名称",
537
+ "controlnet_9_strength": "ControlNet_9_权重",
538
+ "start_percent_9": "开始位置_9",
539
+ "end_percent_9": "结束位置_9",
540
+ "scale_soft_weight_9": "ControlNet_9_柔和缩放",
541
+ "controlnet_10": "ControlNet_10_名称",
542
+ "controlnet_10_strength": "ControlNet_10_权重",
543
+ "start_percent_10": "开始位置_10",
544
+ "end_percent_10": "结束位置_10",
545
+ "scale_soft_weight_10": "ControlNet_10_柔和缩放"
546
+ },
547
+ "outputs": {
548
+ "controlnet_stack": "ControlNet堆"
549
+ }
550
+ },
551
+ "easy controlnetLoader": {
552
+ "title": "简易Controlnet",
553
+ "inputs": {
554
+ "pipe": "节点束",
555
+ "control_net": "ControlNet (可选)",
556
+ "image": "图像"
557
+ },
558
+ "widgets": {
559
+ "pipe": "节点束",
560
+ "control_net_name": "ControlNet",
561
+ "strength": "强度",
562
+ "scale_soft_weights": "缩放柔和权重"
563
+ },
564
+ "outputs": {
565
+ "pipe": "节点束",
566
+ "positive": "正面条件",
567
+ "negative": "负面条件"
568
+ }
569
+ },
570
+ "easy controlnetLoaderADV": {
571
+ "title": "简易Controlnet(高级)",
572
+ "inputs": {
573
+ "pipe": "节点束",
574
+ "control_net": "ControlNet (可选)",
575
+ "image": "图像"
576
+ },
577
+ "widgets": {
578
+ "control_net_name": "ControlNet",
579
+ "strength": "强度",
580
+ "start_percent": "开始时间",
581
+ "end_percent": "结束时间",
582
+ "scale_soft_weights": "缩放柔和权重"
583
+ },
584
+ "outputs": {
585
+ "pipe": "节点束",
586
+ "positive": "正面条件",
587
+ "negative": "负面条件"
588
+ }
589
+ },
590
+ "easy controlnetLoader++": {
591
+ "title": "简易ControlNet++",
592
+ "inputs": {
593
+ "pipe": "节点束",
594
+ "image": "图像",
595
+ "control_net": "ControlNet"
596
+ },
597
+ "widgets": {
598
+ "control_net_name": "ControlNet",
599
+ "strength": "强度",
600
+ "start_percent": "开始时间",
601
+ "end_percent": "结束时间",
602
+ "scale_soft_weights": "缩放柔和权重",
603
+ "union_type": "Union类型"
604
+ },
605
+ "outputs": {
606
+ "pipe": "节点束",
607
+ "positive": "正面条件",
608
+ "negative": "负面条件"
609
+ }
610
+ },
611
+ "easy LLLiteLoader": {
612
+ "title": "简易LLLite",
613
+ "inputs": {
614
+ "model": "模型",
615
+ "cond_image": "图像"
616
+ },
617
+ "widgets": {
618
+ "model_name": "LLLite模型",
619
+ "strength": "强度",
620
+ "steps": "步数",
621
+ "start_percent": "开始时间",
622
+ "end_percent": "结束时间"
623
+ },
624
+ "outputs": {
625
+ "model": "模型",
626
+ "MODEL": "模型"
627
+ }
628
+ },
629
+
630
+
631
+ "easy forLoopStart": {
632
+ "title": "For循环-起始",
633
+ "inputs": {
634
+ "initial_value1": "初始值1"
635
+ },
636
+ "widgets": {
637
+ "total": "总量"
638
+ },
639
+ "outputs": {
640
+ "flow": "流",
641
+ "index": "索引",
642
+ "value1": "值1"
643
+ }
644
+ },
645
+ "easy forLoopEnd": {
646
+ "title": "For循环-结束",
647
+ "inputs": {
648
+ "flow": "流",
649
+ "initial_value1": "初始值1"
650
+ },
651
+ "outputs": {
652
+ "value1": "值1"
653
+ }
654
+ },
655
+ "easy anythingIndexSwitch": {
656
+ "title": "编号切换",
657
+ "inputs": {
658
+ "value0": "值0",
659
+ "value1": "值1"
660
+ },
661
+ "widgets": {
662
+ "index": "编号"
663
+ },
664
+ "outputs": {
665
+ "value": "值"
666
+ }
667
+ },
668
+ "easy imageIndexSwitch": {
669
+ "title": "图像编号切换",
670
+ "inputs": {
671
+ "image0": "图像0",
672
+ "image1": "图像1"
673
+ },
674
+ "widgets": {
675
+ "index": "编号"
676
+ },
677
+ "outputs": {
678
+ "image": "图像"
679
+ }
680
+ },
681
+ "easy textIndexSwitch": {
682
+ "title": "文本编号切换",
683
+ "inputs": {
684
+ "text0": "文本0",
685
+ "text1": "文本1"
686
+ },
687
+ "widgets": {
688
+ "index": "编号"
689
+ },
690
+ "outputs": {
691
+ "text": "文本"
692
+ }
693
+ },
694
+ "easy conditioningIndexSwitch": {
695
+ "title": "条件编号切换",
696
+ "inputs": {
697
+ "cond0": "条件0",
698
+ "cond1": "条件1"
699
+ },
700
+ "widgets": {
701
+ "index": "编号"
702
+ },
703
+ "outputs": {
704
+ "conditioning": "条件"
705
+ }
706
+ },
707
+ "easy mathString": {
708
+ "title": "字符串比较",
709
+ "widgets": {
710
+ "a": "a",
711
+ "b": "b",
712
+ "operation": "操作",
713
+ "case_sensitive": "区分大小写"
714
+ },
715
+ "outputs": {
716
+ "BOOLEAN": "布尔"
717
+ }
718
+ },
719
+ "easy mathInt": {
720
+ "title": "整数运算",
721
+ "widgets": {
722
+ "a": "a",
723
+ "b": "b",
724
+ "operation": "操作"
725
+ },
726
+ "outputs": {
727
+ "INT": "整数"
728
+ }
729
+ },
730
+ "easy mathFloat": {
731
+ "title": "浮点比较",
732
+ "widgets": {
733
+ "a": "a",
734
+ "b": "b",
735
+ "operation": "操作"
736
+ },
737
+ "outputs": {
738
+ "BOOLEAN": "布尔"
739
+ }
740
+ },
741
+
742
+
743
+ "easy latentNoisy": {
744
+ "title": "噪波Latent(Sigma乘积)",
745
+ "inputs": {
746
+ "pipe": "节点束",
747
+ "optional_model": "模型(可选)",
748
+ "optional_latent": "Latent(可选)"
749
+ },
750
+ "widgets": {
751
+ "sample_name": "采样器",
752
+ "scheduler": "调度器",
753
+ "steps": "步数",
754
+ "start_at_step": "开始步数",
755
+ "end_at_step": "结束步数",
756
+ "source": "生成设备",
757
+ "seed": "随机种",
758
+ "seed_num": "随机种",
759
+ "control_before_generate": "运行前操作"
760
+ },
761
+ "outputs": {
762
+ "pipe": "节点束",
763
+ "latent": "Latent",
764
+ "sigma": "伽马值"
765
+ }
766
+ },
767
+ "easy latentCompositeMaskedWithCond": {
768
+ "title": "Latent遮罩复合 (带条件)",
769
+ "inputs": {
770
+ "pipe": "节点束",
771
+ "text_combine": "文字拼接",
772
+ "source_latent": "Latent(源)",
773
+ "source_mask": "遮罩(源)",
774
+ "destination_mask": "遮罩(目标)"
775
+ },
776
+ "widgets": {
777
+ "text_combine": "文字拼���",
778
+ "text_combine_mode": "文字拼接模式",
779
+ "replace_text": "替换文字"
780
+ },
781
+ "outputs": {
782
+ "pipe": "节点束",
783
+ "latent": "Latent",
784
+ "conditioning": "条件"
785
+ }
786
+ },
787
+ "easy injectNoiseToLatent": {
788
+ "title": "插入噪波到Latent",
789
+ "inputs": {
790
+ "pipe_to_noise": "噪波节点束",
791
+ "image_to_latent": "图像转Latent",
792
+ "latent": "Latent",
793
+ "noise": "噪波",
794
+ "mask": "遮罩"
795
+ },
796
+ "widgets": {
797
+ "strength": "强度",
798
+ "normalize": "规格化",
799
+ "average": "平均",
800
+ "mix_randn_amount": "混合随机数"
801
+ },
802
+ "outputs": {
803
+ "LATENT": "Latent"
804
+ }
805
+ },
806
+ "easy seed": {
807
+ "title": "随机种",
808
+ "widgets": {
809
+ "seed_num": "随机种",
810
+ "control_before_generate": "运行前操作"
811
+ },
812
+ "outputs": {
813
+ "seed_num": "随机种"
814
+ }
815
+ },
816
+ "easy globalSeed": {
817
+ "title": "全局随机种",
818
+ "widgets": {
819
+ "value": "随机种",
820
+ "mode": "生成时序",
821
+ "action": "运行操作",
822
+ "last_seed": "上次随机种"
823
+ }
824
+ },
825
+
826
+ "easy humanSegmentation": {
827
+ "title": "人体Segmentation",
828
+ "inputs": {
829
+ "image": "图像"
830
+ },
831
+ "widgets": {
832
+ "method": "方法",
833
+ "confidence": "置信度",
834
+ "crop_multi": "裁剪乘数"
835
+ },
836
+ "outputs": {
837
+ "image": "图像",
838
+ "mask": "遮罩",
839
+ "bbox": "BBox"
840
+ }
841
+ },
842
+
843
+ "easy preSampling": {
844
+ "title": "预采样参数(基础)",
845
+ "widgets": {
846
+ "steps": "步数",
847
+ "cfg": "CFG",
848
+ "sampler_name": "采样器",
849
+ "scheduler": "调度器",
850
+ "denoise": "降噪",
851
+ "seed": "随机种",
852
+ "seed_num": "随机种",
853
+ "control_before_generate": "运行前操作"
854
+ },
855
+ "inputs": {
856
+ "pipe": "节点束",
857
+ "image_to_latent": "图像(可选)",
858
+ "latent": "Latent(可选)"
859
+ },
860
+ "outputs": {
861
+ "pipe": "节点束"
862
+ }
863
+ },
864
+ "easy preSamplingAdvanced": {
865
+ "title": "预采样参数(高级)",
866
+ "widgets": {
867
+ "steps": "步数",
868
+ "start_at_step": "开始步数",
869
+ "end_at_step": "结束步数",
870
+ "add_noise": "增加噪波",
871
+ "cfg": "CFG",
872
+ "sampler_name": "采样器",
873
+ "scheduler": "调度器",
874
+ "denoise": "降噪",
875
+ "seed": "随机种",
876
+ "seed_num": "随机种",
877
+ "control_before_generate": "运行前操作",
878
+ "return_with_leftover_noise": "返回噪波"
879
+ },
880
+ "inputs": {
881
+ "pipe": "节点束",
882
+ "image_to_latent": "图像(可选)",
883
+ "latent": "Latent(可选)"
884
+ },
885
+ "outputs": {
886
+ "pipe": "节点束"
887
+ }
888
+ },
889
+ "easy preSamplingNoiseIn": {
890
+ "title": "预采样参数(插入噪波)",
891
+ "inputs": {
892
+ "pipe": "节点束",
893
+ "optional_latent": "Latent(可选)",
894
+ "optional_noise_seed": "随机种(可选)"
895
+ },
896
+ "widgets": {
897
+ "factor": "系数",
898
+ "steps": "步数",
899
+ "cfg": "CFG",
900
+ "sampler_name": "采样器",
901
+ "scheduler": "调度器",
902
+ "denoise": "降噪",
903
+ "seed": "随机种",
904
+ "seed_num": "随机种",
905
+ "control_before_generate": "运行前操作"
906
+ },
907
+ "outputs": {
908
+ "pipe": "节点束"
909
+ }
910
+ },
911
+ "easy preSamplingCustom": {
912
+ "title": "预采样参数(自定义)",
913
+ "inputs": {
914
+ "pipe": "节点束",
915
+ "image_to_latent": "图像转Latent",
916
+ "latent": "Latent",
917
+ "optional_sampler": "采样器(可选)",
918
+ "optional_sigmas": "Sigmas(可选)"
919
+ },
920
+ "widgets": {
921
+ "guider": "引导",
922
+ "sampler_name": "采样器",
923
+ "scheduler": "调度器",
924
+ "steps": "步数",
925
+ "denoise": "降噪",
926
+ "add_noise": "添加噪波",
927
+ "seed": "随机种",
928
+ "control_before_generate": "运行前操作"
929
+ },
930
+ "outputs": {
931
+ "pipe": "节点束"
932
+ }
933
+ },
934
+ "easy preSamplingSdTurbo": {
935
+ "title": "预采样参数(SDTurbo)",
936
+ "widgets": {
937
+ "steps": "步数",
938
+ "cfg": "CFG",
939
+ "sampler_name": "采样器",
940
+ "scheduler": "调度器",
941
+ "denoise": "降噪",
942
+ "seed": "随机种",
943
+ "seed_num": "随机种",
944
+ "control_before_generate": "运行前操作"
945
+ },
946
+ "inputs": {
947
+ "pipe": "节点束",
948
+ "image_to_latent": "图像(可选)",
949
+ "latent": "Latent(可选)"
950
+ },
951
+ "outputs": {
952
+ "pipe": "节点束"
953
+ }
954
+ },
955
+ "easy preSamplingCascade": {
956
+ "title": "预采样参数(Cascade)",
957
+ "widgets": {
958
+ "encode_vae_name": "编码VAE",
959
+ "decode_vae_name": "解码VAE",
960
+ "steps": "步数",
961
+ "cfg": "CFG",
962
+ "sampler_name": "采样器",
963
+ "scheduler": "调度器",
964
+ "denoise": "降噪",
965
+ "seed": "随机种",
966
+ "seed_num": "随机种",
967
+ "control_before_generate": "运行前操作"
968
+ },
969
+ "inputs": {
970
+ "pipe": "节点束",
971
+ "model_c": "模型_C(可选)",
972
+ "image_to_latent_c": "图像(可选)",
973
+ "latent_c": "LatentC(可选)"
974
+ },
975
+ "outputs": {
976
+ "pipe": "节点束",
977
+ "model_b": "模型_B",
978
+ "latent_b": "Latent_B"
979
+ }
980
+ },
981
+ "easy preSamplingLayerDiffusion": {
982
+ "title": "预采样参数(LayerDiffusion)",
983
+ "inputs": {
984
+ "pipe": "节点束",
985
+ "image": "图像",
986
+ "blended_image": "混合图像",
987
+ "mask": "遮罩"
988
+ },
989
+ "widgets": {
990
+ "method": "方法",
991
+ "weight": "权重",
992
+ "steps": "步数",
993
+ "cfg": "CFG",
994
+ "sampler_name": "采样器",
995
+ "scheduler": "调度器",
996
+ "denoise": "降噪",
997
+ "seed_num": "随机种",
998
+ "control_before_generate": "运行前操作"
999
+ },
1000
+ "outputs": {
1001
+ "pipe": "节点束"
1002
+ }
1003
+ },
1004
+ "easy preSamplingLayerDiffusionADDTL": {
1005
+ "title": "预采样参数(LayerDiffusion前景背景)",
1006
+ "inputs": {
1007
+ "pipe": "节点束",
1008
+ "optional_fg_cond": "前景条件(可选)",
1009
+ "optional_bg_cond": "背景条件(可选)",
1010
+ "optional_blended_cond": "混合条件(可选)"
1011
+ },
1012
+ "widgets": {
1013
+ "optional_fg_promt": "前景提示词",
1014
+ "optional_bg_promt": "背景提示词",
1015
+ "optional_blended_promt": "混合提示词",
1016
+ "foreground_promt": "前景提示词",
1017
+ "background_promt": "背景提示词",
1018
+ "blended_promt": "混合提示词"
1019
+ },
1020
+ "outputs": {
1021
+ "pipe": "节点束"
1022
+ }
1023
+ },
1024
+ "dynamicThresholdingFull": {
1025
+ "title": "动态CFG",
1026
+ "inputs": {
1027
+ "model": "模型"
1028
+ },
1029
+ "widgets": {
1030
+ "mimic_scale": "模拟CFG",
1031
+ "threshold_percentile": "阈值百分比",
1032
+ "mimic_mode": "模拟模式",
1033
+ "mimic_scale_min": "模拟CFG最小值",
1034
+ "cfg_mode": "CFG模式",
1035
+ "cfg_scale_min": "CFG最小值",
1036
+ "sched_val": "调度变量",
1037
+ "separate_feature_channels": "分离功能通道",
1038
+ "scaling_startpoint": "缩放起始点",
1039
+ "variability_measure": "变化量测量",
1040
+ "interpolate_phi": "插值phi"
1041
+ },
1042
+ "outputs": {
1043
+ "MODEL": "模型"
1044
+ }
1045
+ },
1046
+ "easy preSamplingDynamicCFG": {
1047
+ "title": "预采样参数(动态CFG)",
1048
+ "widgets": {
1049
+ "steps": "步数",
1050
+ "cfg": "CFG",
1051
+ "cfg_mode": "CFG模式",
1052
+ "cfg_scale_min": "CFG最小值",
1053
+ "sampler_name": "采样器",
1054
+ "scheduler": "调度器",
1055
+ "denoise": "降噪",
1056
+ "seed_num": "随机种",
1057
+ "control_before_generate": "运行前操作"
1058
+ },
1059
+ "inputs": {
1060
+ "pipe": "节点束",
1061
+ "image_to_latent": "图像(可选)",
1062
+ "latent": "Latent(可选)"
1063
+ },
1064
+ "outputs": {
1065
+ "pipe": "节点束"
1066
+ }
1067
+ },
1068
+ "easy fullkSampler": {
1069
+ "title": "简易k采样器(完整版)",
1070
+ "inputs": {
1071
+ "pipe": "节点束",
1072
+ "model": "模型(可选)",
1073
+ "positive": "正面条件(可选)",
1074
+ "negative": "负面条件(可选)",
1075
+ "image_to_latent": "图像(可选)",
1076
+ "latent": "Latent(可选)"
1077
+ },
1078
+ "widgets": {
1079
+ "steps": "步数",
1080
+ "start_at_step": "开始步数",
1081
+ "end_at_step": "结束步数",
1082
+ "add_noise": "添加噪波",
1083
+ "cfg": "CFG",
1084
+ "sampler_name": "采样器",
1085
+ "scheduler": "调度器",
1086
+ "denoise": "降噪",
1087
+ "image_output": "图像输出",
1088
+ "seed_num": "随机种",
1089
+ "control_before_generate": "运行前操作"
1090
+ },
1091
+ "outputs": {
1092
+ "pipe": "节点束",
1093
+ "image": "图像",
1094
+ "model": "模型",
1095
+ "positive": "正面条件",
1096
+ "negative": "负面条件",
1097
+ "image_to_latent": "图像转Latent",
1098
+ "latent": "Latent",
1099
+ "seed": "随机种"
1100
+ }
1101
+ },
1102
+ "easy kSampler": {
1103
+ "title": "简易K采样器",
1104
+ "widgets": {
1105
+ "image_output": "图像输出"
1106
+ },
1107
+ "inputs": {
1108
+ "pipe": "节点束",
1109
+ "model": "模型(可选)"
1110
+ },
1111
+ "outputs": {
1112
+ "pipe": "节点束",
1113
+ "image": "图像"
1114
+ }
1115
+ },
1116
+ "easy kSamplerTiled": {
1117
+ "title": "简易k采样器(分块解码)",
1118
+ "widgets":{
1119
+ "image_output": "图像输出",
1120
+ "tile_size": "分块大小"
1121
+ },
1122
+ "inputs": {
1123
+ "pipe": "节点束",
1124
+ "model": "模型(可选)"
1125
+ },
1126
+ "outputs": {
1127
+ "pipe": "节点束",
1128
+ "image": "图像"
1129
+ }
1130
+ },
1131
+ "easy kSamplerLayerDiffusion": {
1132
+ "title": "简易k采样器(LayerDiffusion)",
1133
+ "inputs": {
1134
+ "pipe": "节点束",
1135
+ "model": "模型(可选)"
1136
+ },
1137
+ "widgets":{
1138
+ "image_output": "图像输出"
1139
+ },
1140
+ "outputs": {
1141
+ "pipe": "节点束",
1142
+ "alpha_image": "透明图像",
1143
+ "original_image": "原图像",
1144
+ "alpha": "Alpha"
1145
+ }
1146
+ },
1147
+ "easy kSamplerInpainting": {
1148
+ "title": "简易K采样器 (内补)",
1149
+ "inputs": {
1150
+ "pipe": "节点束",
1151
+ "model": "模型(可选)",
1152
+ "mask": "遮罩(可选)"
1153
+ },
1154
+ "widgets": {
1155
+ "grow_mask_by": "遮罩扩展",
1156
+ "image_output": "图像输出"
1157
+ },
1158
+ "outputs": {
1159
+ "pipe": "节点束",
1160
+ "image": "图像"
1161
+ }
1162
+ },
1163
+ "easy kSamplerDownscaleUnet": {
1164
+ "title": "简易K采样器 (收缩Unet)",
1165
+ "inputs": {
1166
+ "pipe": "节点束",
1167
+ "model": "模型(可选)"
1168
+ },
1169
+ "widgets": {
1170
+ "downscale_mode": "收缩模式",
1171
+ "block_number": "块编号",
1172
+ "image_output": "图像输出"
1173
+ },
1174
+ "outputs": {
1175
+ "pipe": "节点束",
1176
+ "image": "图像"
1177
+ }
1178
+ },
1179
+ "easy kSamplerSDTurbo": {
1180
+ "title": "简易k采样器(SDTurbo)",
1181
+ "inputs": {
1182
+ "pipe": "节点束",
1183
+ "model": "模型(可选)"
1184
+ },
1185
+ "widgets": {
1186
+ "image_output": "图像输出"
1187
+ },
1188
+ "outputs": {
1189
+ "pipe": "节点束",
1190
+ "image": "图像"
1191
+ }
1192
+ },
1193
+ "easy fullCascadeKSampler": {
1194
+ "title": "简易级联k采样器 (完整版)",
1195
+ "inputs": {
1196
+ "pipe": "节点束",
1197
+ "model_c": "模型C(可选)",
1198
+ "image_to_latent_c": "图像(可选)",
1199
+ "latent_c": "LatentC(可选)"
1200
+ },
1201
+ "widgets": {
1202
+ "steps": "步数",
1203
+ "cfg": "CFG",
1204
+ "sampler_name": "采样器",
1205
+ "scheduler": "调度器",
1206
+ "denoise": "降噪",
1207
+ "seed_num": "随机种",
1208
+ "control_before_generate": "运行前操作",
1209
+ "image_output": "图像输出"
1210
+ },
1211
+ "outputs": {
1212
+ "pipe": "节点束",
1213
+ "model_b": "模型B",
1214
+ "latent_b": "LatentB"
1215
+ }
1216
+ },
1217
+ "easy cascadeKSampler": {
1218
+ "title": "简易级联k采样器",
1219
+ "widgets": {
1220
+ "image_output": "图像输出"
1221
+ },
1222
+ "inputs": {
1223
+ "pipe": "节点束",
1224
+ "model_c": "模型C(可选)"
1225
+ },
1226
+ "outputs": {
1227
+ "pipe": "节点束",
1228
+ "image": "图像"
1229
+ }
1230
+ },
1231
+ "easy unSampler": {
1232
+ "title": "逆(不)采样器",
1233
+ "inputs": {
1234
+ "pipe": "节点束",
1235
+ "optional_model": "模型(可选)",
1236
+ "optional_positive": "正面条件(可选)",
1237
+ "optional_negative": "负面条件(可选)",
1238
+ "optional_latent": "Latent(可选)"
1239
+ },
1240
+ "widgets": {
1241
+ "steps": "步数",
1242
+ "cfg": "CFG",
1243
+ "end_at_step": "结束步数",
1244
+ "sampler_name": "采样器",
1245
+ "scheduler": "调度器",
1246
+ "normalize": "规格化"
1247
+ },
1248
+ "outputs": {
1249
+ "pipe": "节点束",
1250
+ "latent": "Latent"
1251
+ }
1252
+ },
1253
+ "easy pipeIn": {
1254
+ "title": "节点束输入",
1255
+ "inputs": {
1256
+ "pipe": "节点束",
1257
+ "model": "模型",
1258
+ "positive": "正面条件",
1259
+ "negative": "负面条件",
1260
+ "image_to_latent": "图像转Latent",
1261
+ "latent": "Latent",
1262
+ "image": "图像"
1263
+ },
1264
+ "outputs": {
1265
+ "pipe": "节点束"
1266
+ }
1267
+ },
1268
+ "easy pipeOut": {
1269
+ "title": "节点束输出",
1270
+ "inputs": {
1271
+ "pipe": "节点束"
1272
+ },
1273
+ "outputs": {
1274
+ "pipe": "节点束",
1275
+ "model": "模型",
1276
+ "positive": "正面条件",
1277
+ "negative": "负面条件",
1278
+ "image_to_latent": "图像转Latent",
1279
+ "latent": "Latent",
1280
+ "image": "图像"
1281
+ }
1282
+ },
1283
+ "easy pipeToBasicPipe": {
1284
+ "title": "节点束转换基础节点束",
1285
+ "inputs": {
1286
+ "pipe": "节点束"
1287
+ },
1288
+ "outputs": {
1289
+ "basic_pipe": "基础节点束"
1290
+ }
1291
+ },
1292
+ "easy pipeBatchIndex": {
1293
+ "title": "节点束批次索引",
1294
+ "inputs": {
1295
+ "pipe": "节点束"
1296
+ },
1297
+ "widgets": {
1298
+ "batch_index": "批次索引",
1299
+ "length": "长度"
1300
+ },
1301
+ "outputs": {
1302
+ "pipe": "节点束"
1303
+ }
1304
+ },
1305
+ "easy pipeEdit": {
1306
+ "title": "节点束编辑",
1307
+ "inputs": {
1308
+ "pipe": "节点束",
1309
+ "model": "模型",
1310
+ "positive": "正面条件",
1311
+ "pos": "正面条件",
1312
+ "negative": "负面条件",
1313
+ "neg": "负面条件",
1314
+ "vae": "VAE",
1315
+ "clip": "CLIP",
1316
+ "image_to_latent": "图像转Latent",
1317
+ "latent": "Latent",
1318
+ "image": "图像"
1319
+ },
1320
+ "widgets": {
1321
+ "clip_skip": "CLIP停止层",
1322
+ "optional_positive": "正面提示词(可选)",
1323
+ "optional_negative": "负面提示词(可选)",
1324
+ "positive_token_normalization": "正面Token规格化",
1325
+ "positive_weight_interpretation": "正面权重插值方式",
1326
+ "negative_token_normalization": "负面Token规格化",
1327
+ "negative_weight_interpretation": "负面权重插值方式",
1328
+ "a1111_prompt_style": "A1111提示词风格",
1329
+ "conditioning_mode": "条件模式"
1330
+ },
1331
+ "outputs": {
1332
+ "pipe": "节点束",
1333
+ "model": "模型",
1334
+ "positive": "正面条件",
1335
+ "pos": "正面条件",
1336
+ "negative": "负面条件",
1337
+ "neg": "负面条件",
1338
+ "vae": "VAE",
1339
+ "clip": "CLIP",
1340
+ "image_to_latent": "图像转Latent",
1341
+ "latent": "Latent",
1342
+ "image": "图像"
1343
+ }
1344
+ },
1345
+ "easy XYPlot": {
1346
+ "title": "简易XY图表",
1347
+ "inputs": {
1348
+ "pipe": "节点束"
1349
+ },
1350
+ "widgets": {
1351
+ "grid_spacing": "间隔",
1352
+ "output_individuals": "单独输出",
1353
+ "flip_xy": "XY互换",
1354
+ "x_axis": "X轴",
1355
+ "y_axis": "Y轴"
1356
+ },
1357
+ "outputs": {
1358
+ "pipe": "节点束"
1359
+ }
1360
+ },
1361
+ "easy XYPlotAdvanced": {
1362
+ "title": "简易XY图表 (高级)",
1363
+ "inputs": {
1364
+ "pipe": "节点束"
1365
+ },
1366
+ "widgets": {
1367
+ "grid_spacing": "间隔",
1368
+ "output_individuals": "单独输出",
1369
+ "flip_xy": "XY互换"
1370
+ },
1371
+ "outputs": {
1372
+ "pipe": "节点束"
1373
+ }
1374
+ },
1375
+ "easy XYInputs: Seeds++ Batch": {
1376
+ "title": "XY输入: 随机种个数",
1377
+ "widgets": {
1378
+ "batch_count": "个数"
1379
+ }
1380
+ },
1381
+ "easy XYInputs: Steps": {
1382
+ "title": "XY输入: 步数",
1383
+ "widgets": {
1384
+ "selection_count": "选择数量",
1385
+ "target_parameter": "目标参数",
1386
+ "batch_count": "个数",
1387
+ "first_step": "起始步数",
1388
+ "last_step": "最终步数",
1389
+ "first_start_step": "起始开始步数",
1390
+ "last_start_step": "最终开始步数",
1391
+ "first_end_step": "起始结束步数",
1392
+ "last_end_step": "最终结束步数",
1393
+ "first_refine_step": "起始优化步数",
1394
+ "last_refine_step": "最终优化步数"
1395
+ }
1396
+ },
1397
+ "easy XYInputs: CFG Scale": {
1398
+ "title": "XY输入: CFG",
1399
+ "widgets": {
1400
+ "batch_count": "个数",
1401
+ "first_cfg": "初始CFG",
1402
+ "end_cfg": "最终CFG",
1403
+ "last_cfg": "最终CFG"
1404
+ }
1405
+ },
1406
+ "easy XYInputs: Denoise": {
1407
+ "title": "XY输入: 降噪",
1408
+ "widgets": {
1409
+ "select_count": "选择数量",
1410
+ "first_denoise": "初始降噪",
1411
+ "end_denoise": "最终降噪",
1412
+ "batch_count": "个数",
1413
+ "last_denoise": "最终降噪"
1414
+ }
1415
+ },
1416
+ "easy XYInputs: ControlNet": {
1417
+ "title": "XY输入: ControlNet",
1418
+ "inputs": {
1419
+ "control_net": "ControlNet",
1420
+ "image": "图像",
1421
+ "cnet_stack": "ControlNet堆"
1422
+ },
1423
+ "widgets": {
1424
+ "control_net_name": "ControlNet",
1425
+ "target_parameter": "目标参数",
1426
+ "batch_count": "个数",
1427
+ "first_strength": "初���强度",
1428
+ "last_strength": "最终强度",
1429
+ "first_start_percent": "初始开始引导时间",
1430
+ "last_start_percent": "最终开始引导时间",
1431
+ "first_end_percent": "初始结束引导时间",
1432
+ "last_end_percent": "最终结束引导时间",
1433
+ "strength": "强度",
1434
+ "start_percent": "开始引导时间",
1435
+ "end_percent": "结束引导时间"
1436
+ }
1437
+ },
1438
+ "easy XYInputs: ModelMergeBlocks": {
1439
+ "title": "XY输入: 模型融合",
1440
+ "widgets": {
1441
+ "ckpt_name_1": "模型_1",
1442
+ "ckpt_name_2": "模型_2",
1443
+ "vae_use": "VAE使用",
1444
+ "preset": "预置参数",
1445
+ "choose .csv file to input values": "选择.csv文件覆盖到数值中",
1446
+ "choose .csv file into values": "选择.csv文件覆盖到数值中"
1447
+ }
1448
+ },
1449
+ "easy XYInputs: Checkpoint": {
1450
+ "title": "XY输入: 模型",
1451
+ "inputs": {
1452
+ "optional_lora_stack": "LoRA堆(可选)"
1453
+ },
1454
+ "widgets": {
1455
+ "input_mode": "输入模式",
1456
+ "ckpt_count": "模型数量",
1457
+ "ckpt_name_1": "模型名称1",
1458
+ "ckpt_name_2": "模型名称2",
1459
+ "ckpt_name_3": "模型名称3",
1460
+ "ckpt_name_4": "模型名称4",
1461
+ "ckpt_name_5": "模型名称5",
1462
+ "ckpt_name_6": "模型名称6",
1463
+ "ckpt_name_7": "模型名称7",
1464
+ "ckpt_name_8": "模型名称8",
1465
+ "ckpt_name_9": "模型名称9",
1466
+ "ckpt_name_10": "模型名称10",
1467
+ "clip_skip_1": "Clip停止层1",
1468
+ "clip_skip_2": "Clip停止层2",
1469
+ "clip_skip_3": "Clip停止层3",
1470
+ "clip_skip_4": "Clip停止层4",
1471
+ "clip_skip_5": "Clip停止层5",
1472
+ "clip_skip_6": "Clip停止层6",
1473
+ "clip_skip_7": "Clip停止层7",
1474
+ "clip_skip_8": "Clip停止层8",
1475
+ "clip_skip_9": "Clip停止层9",
1476
+ "clip_skip_10": "Clip停止层10",
1477
+ "vae_name_1": "VAE名称1",
1478
+ "vae_name_2": "VAE名称2",
1479
+ "vae_name_3": "VAE名称3",
1480
+ "vae_name_4": "VAE名称4",
1481
+ "vae_name_5": "VAE名称5",
1482
+ "vae_name_6": "VAE名称6",
1483
+ "vae_name_7": "VAE名称7",
1484
+ "vae_name_8": "VAE名称8",
1485
+ "vae_name_9": "VAE名称9",
1486
+ "vae_name_10": "VAE名称10"
1487
+ }
1488
+ },
1489
+ "easy XYInputs: Lora": {
1490
+ "title": "XY输入: Lora",
1491
+ "inputs": {
1492
+ "optional_lora_stack": "LoRA堆(可选)"
1493
+ },
1494
+ "widgets": {
1495
+ "input_mode": "输入模式",
1496
+ "lora_count": "LoRA数量",
1497
+ "model_strength": "模型强度",
1498
+ "clip_strength": "CLIP强度",
1499
+ "lora_name_1": "LoRA名称1",
1500
+ "lora_name_2": "LoRA名称2",
1501
+ "lora_name_3": "LoRA名称3",
1502
+ "lora_name_4": "LoRA名称4",
1503
+ "lora_name_5": "LoRA名称5",
1504
+ "lora_name_6": "LoRA名称6",
1505
+ "lora_name_7": "LoRA名称7",
1506
+ "lora_name_8": "LoRA名称8",
1507
+ "lora_name_9": "LoRA名称9",
1508
+ "lora_name_10": "LoRA名称10",
1509
+ "model_str_1": "模型强度1",
1510
+ "model_str_2": "模型强度2",
1511
+ "model_str_3": "模型强度3",
1512
+ "model_str_4": "模型强度4",
1513
+ "model_str_5": "模型强度5",
1514
+ "model_str_6": "模型强度6",
1515
+ "model_str_7": "模型强度7",
1516
+ "model_str_8": "模型强度8",
1517
+ "model_str_9": "模型强度9",
1518
+ "model_str_10": "模型强度10",
1519
+ "clip_str_1": "CLIP强度1",
1520
+ "clip_str_2": "CLIP强度2",
1521
+ "clip_str_3": "CLIP强度3",
1522
+ "clip_str_4": "CLIP强度4",
1523
+ "clip_str_5": "CLIP强度5",
1524
+ "clip_str_6": "CLIP强度6",
1525
+ "clip_str_7": "CLIP强度7",
1526
+ "clip_str_8": "CLIP强度8",
1527
+ "clip_str_9": "CLIP强度9",
1528
+ "clip_str_10": "CLIP强度10"
1529
+ }
1530
+ },
1531
+ "easy XYInputs: PositiveCond": {
1532
+ "title": "XY输入: 正面条件x4",
1533
+ "inputs": {
1534
+ "positive_1": "正面条件_1",
1535
+ "positive_2": "正面条件_2",
1536
+ "positive_3": "正面条件_3",
1537
+ "positive_4": "正面条件_4"
1538
+ }
1539
+ },
1540
+ "easy XYInputs: NegativeCond": {
1541
+ "title": "XY输入: 负面条件x4",
1542
+ "inputs": {
1543
+ "positive_1": "负面条件_1",
1544
+ "positive_2": "负面条件_2",
1545
+ "positive_3": "负面条件_3",
1546
+ "positive_4": "负面条件_4"
1547
+ }
1548
+ },
1549
+ "easy XYInputs: PositiveCondList": {
1550
+ "title": "XY输入: 正面条件列表",
1551
+ "inputs": {
1552
+ "positive": "正面条件列表"
1553
+ }
1554
+ },
1555
+ "easy XYInputs: NegativeCondList": {
1556
+ "title": "XY输入: 负面条件列表",
1557
+ "inputs": {
1558
+ "negative": "负面条件列表"
1559
+ }
1560
+ },
1561
+ "easy XYInputs: PromptSR": {
1562
+ "title": "XY输入: 替换提示词",
1563
+ "widgets": {
1564
+ "target_prompt": "目标提示词",
1565
+ "search_txt": "检索",
1566
+ "replace_count": "替换数量",
1567
+ "replace_all_text": "替换所有文字",
1568
+ "replace_1": "替换_1",
1569
+ "replace_2": "替换_2",
1570
+ "replace_3": "替换_3",
1571
+ "replace_4": "替换_4",
1572
+ "replace_5": "替换_5",
1573
+ "replace_6": "替换_6",
1574
+ "replace_7": "替换_7",
1575
+ "replace_8": "替换_8",
1576
+ "replace_9": "替换_9",
1577
+ "replace_10": "替换_10",
1578
+ "replace_11": "替换_11",
1579
+ "replace_12": "替换_12",
1580
+ "replace_13": "替换_13",
1581
+ "replace_14": "替换_14",
1582
+ "replace_15": "替换_15",
1583
+ "replace_16": "替换_16",
1584
+ "replace_17": "替换_17",
1585
+ "replace_18": "替换_18",
1586
+ "replace_19": "替换_19",
1587
+ "replace_20": "替换_20",
1588
+ "replace_21": "替换_21",
1589
+ "replace_22": "替换_22",
1590
+ "replace_23": "替换_23",
1591
+ "replace_24": "替换_24",
1592
+ "replace_25": "替换_25",
1593
+ "replace_26": "替换_26",
1594
+ "replace_27": "替换_27",
1595
+ "replace_28": "替换_28",
1596
+ "replace_29": "替换_29",
1597
+ "replace_30": "替换_30",
1598
+ "replace_31": "替换_31",
1599
+ "replace_32": "替换_32",
1600
+ "replace_33": "替换_33",
1601
+ "replace_34": "替换_34",
1602
+ "replace_35": "替换_35",
1603
+ "replace_36": "替换_36",
1604
+ "replace_37": "替换_37",
1605
+ "replace_38": "替换_38",
1606
+ "replace_39": "替换_39",
1607
+ "replace_40": "替换_40",
1608
+ "replace_41": "替换_41",
1609
+ "replace_42": "替换_42",
1610
+ "replace_43": "替换_43",
1611
+ "replace_44": "替换_44",
1612
+ "replace_45": "替换_45",
1613
+ "replace_46": "替换_46",
1614
+ "replace_47": "替换_47",
1615
+ "replace_48": "替换_48",
1616
+ "replace_49": "替换_49"
1617
+ }
1618
+ },
1619
+ "easy XYInputs: Sampler/Scheduler": {
1620
+ "title": "XY输入: 采样调度器",
1621
+ "widgets": {
1622
+ "target_parameter": "目标参数",
1623
+ "sampler": "采样器",
1624
+ "scheduler": "调度器",
1625
+ "sampler & scheduler": "采样和调度",
1626
+ "input_count": "输入数量",
1627
+ "sampler_1": "采样器_1",
1628
+ "sampler_2": "采样器_2",
1629
+ "sampler_3": "采样器_3",
1630
+ "sampler_4": "采样器_4",
1631
+ "sampler_5": "采样器_5",
1632
+ "sampler_6": "采样器_6",
1633
+ "sampler_7": "采样器_7",
1634
+ "sampler_8": "采样器_8",
1635
+ "sampler_9": "采样器_9",
1636
+ "sampler_10": "采样器_10",
1637
+ "sampler_11": "采样器_11",
1638
+ "sampler_12": "采样器_12",
1639
+ "sampler_13": "采样器_13",
1640
+ "sampler_14": "采样器_14",
1641
+ "sampler_15": "采样器_15",
1642
+ "sampler_16": "采样器_16",
1643
+ "sampler_17": "采样器_17",
1644
+ "sampler_18": "采样器_18",
1645
+ "sampler_19": "采样器_19",
1646
+ "sampler_20": "采样器_20",
1647
+ "sampler_21": "采样器_21",
1648
+ "sampler_22": "采样器_22",
1649
+ "sampler_23": "采样器_23",
1650
+ "sampler_24": "采样器_24",
1651
+ "sampler_25": "采样器_25",
1652
+ "sampler_26": "采样器_26",
1653
+ "sampler_27": "采样器_27",
1654
+ "sampler_28": "采样器_28",
1655
+ "sampler_29": "采样器_29",
1656
+ "sampler_30": "采样器_30",
1657
+ "sampler_31": "采样器_31",
1658
+ "sampler_32": "采样器_32",
1659
+ "sampler_33": "采样器_33",
1660
+ "sampler_34": "采样器_34",
1661
+ "sampler_35": "采样器_35",
1662
+ "sampler_36": "采样器_36",
1663
+ "sampler_37": "采样器_37",
1664
+ "sampler_38": "采样器_38",
1665
+ "sampler_39": "采样器_39",
1666
+ "sampler_40": "采样器_40",
1667
+ "sampler_41": "采样器_41",
1668
+ "sampler_42": "采样器_42",
1669
+ "sampler_43": "采样器_43",
1670
+ "sampler_44": "采样器_44",
1671
+ "sampler_45": "采样器_45",
1672
+ "sampler_46": "采样器_46",
1673
+ "sampler_47": "采样器_47",
1674
+ "sampler_48": "采样器_48",
1675
+ "sampler_49": "采样器_49",
1676
+ "sampler_50": "采样器_50",
1677
+ "scheduler_1": "调度器_1",
1678
+ "scheduler_2": "调度器_2",
1679
+ "scheduler_3": "调度器_3",
1680
+ "scheduler_4": "调度器_4",
1681
+ "scheduler_5": "调度器_5",
1682
+ "scheduler_6": "调度器_6",
1683
+ "scheduler_7": "调度器_7",
1684
+ "scheduler_8": "调度器_8",
1685
+ "scheduler_9": "调度器_9",
1686
+ "scheduler_10": "调度器_10",
1687
+ "scheduler_11": "调度器_11",
1688
+ "scheduler_12": "调度器_12",
1689
+ "scheduler_13": "调度器_13",
1690
+ "scheduler_14": "调度器_14",
1691
+ "scheduler_15": "调度器_15",
1692
+ "scheduler_16": "调度器_16",
1693
+ "scheduler_17": "调度器_17",
1694
+ "scheduler_18": "调度器_18",
1695
+ "scheduler_19": "调度器_19",
1696
+ "scheduler_20": "调度器_20",
1697
+ "scheduler_21": "调度器_21",
1698
+ "scheduler_22": "调度器_22",
1699
+ "scheduler_23": "调度器_23",
1700
+ "scheduler_24": "调度器_24",
1701
+ "scheduler_25": "调度器_25",
1702
+ "scheduler_26": "调度器_26",
1703
+ "scheduler_27": "调度器_27",
1704
+ "scheduler_28": "调度器_28",
1705
+ "scheduler_29": "调度器_29",
1706
+ "scheduler_30": "调度器_30",
1707
+ "scheduler_31": "调度器_31",
1708
+ "scheduler_32": "调度器_32",
1709
+ "scheduler_33": "调度器_33",
1710
+ "scheduler_34": "调度器_34",
1711
+ "scheduler_35": "调度器_35",
1712
+ "scheduler_36": "调度器_36",
1713
+ "scheduler_37": "调度器_37",
1714
+ "scheduler_38": "调度器_38",
1715
+ "scheduler_39": "调度器_39",
1716
+ "scheduler_40": "调度器_40",
1717
+ "scheduler_41": "调度器_41",
1718
+ "scheduler_42": "调度器_42",
1719
+ "scheduler_43": "调度器_43",
1720
+ "scheduler_44": "调度器_44",
1721
+ "scheduler_45": "调度器_45",
1722
+ "scheduler_46": "调度器_46",
1723
+ "scheduler_47": "调度器_47",
1724
+ "scheduler_48": "调度器_48",
1725
+ "scheduler_49": "调度器_49",
1726
+ "scheduler_50": "调度器_50"
1727
+ }
1728
+ },
1729
+ "easy hiresFix": {
1730
+ "title": "高清修复",
1731
+ "inputs": {
1732
+ "pipe": "节点束",
1733
+ "image": "图像"
1734
+ },
1735
+ "widgets": {
1736
+ "model_name": "模型名称",
1737
+ "rescale_after_model": "重缩放",
1738
+ "rescale_method": "缩放方法",
1739
+ "rescale": "重缩放尺寸",
1740
+ "percent": "百分比",
1741
+ "width": "宽",
1742
+ "height": "高",
1743
+ "crop": "裁切",
1744
+ "image_output": "图像输出"
1745
+ },
1746
+ "outputs": {
1747
+ "pipe": "节点束",
1748
+ "image": "图像",
1749
+ "latent": "Latent"
1750
+ }
1751
+ },
1752
+ "easy ultralyticsDetectorPipe": {
1753
+ "title": "检测加载器(细节修复节点束)",
1754
+ "widgets": {
1755
+ "model_name": "模型",
1756
+ "bbox_threshold": "BBox阈值",
1757
+ "bbox_dilation": "BBox膨胀",
1758
+ "bbox_crop_factor": "BBox裁剪系数",
1759
+ "open_segm": "开启Segm检测"
1760
+ },
1761
+ "outputs": {
1762
+ "bbox_segm_pipe": "BBox节点束"
1763
+ }
1764
+ },
1765
+ "easy samLoaderPipe": {
1766
+ "title": "Sam模型加载器(细节修复节点束)",
1767
+ "widgets": {
1768
+ "model_name": "模型",
1769
+ "device_mode": "设备模式",
1770
+ "sam_detection_hint": "SAM检测提示",
1771
+ "center-1": "中心",
1772
+ "horizontal-2": "水平",
1773
+ "vertical-2": "竖直",
1774
+ "rect-4": "斜角",
1775
+ "diamond-4": "菱形",
1776
+ "mask-area": "遮罩区域",
1777
+ "mask-points": "遮罩点",
1778
+ "mask-point-bbox": "遮罩点BBox",
1779
+ "sam_dilation": "SAM膨胀",
1780
+ "sam_threshold": "SAM阈值",
1781
+ "sam_bbox_expansion": "SAMBBox扩展",
1782
+ "sam_mask_hint_threshold": "SAM遮罩检测阈值",
1783
+ "sam_mask_hint_use_negative": "SAM负面遮罩提示"
1784
+ },
1785
+ "outputs": {
1786
+ "sam_pipe": "SAM模型节点束"
1787
+ }
1788
+ },
1789
+ "easy preMaskDetailerFix": {
1790
+ "title": "预遮罩细节修复",
1791
+ "inputs": {
1792
+ "pipe": "节点束",
1793
+ "mask": "遮罩",
1794
+ "optional_image": "图像(可选)"
1795
+ },
1796
+ "widgets": {
1797
+ "guide_size": "引导大小",
1798
+ "guide_size_for": "引导目标",
1799
+ "max_size": "最大尺寸",
1800
+ "mask_mode": "遮罩模式",
1801
+ "seed": "随机种",
1802
+ "control_before_generate": "运行前操作",
1803
+ "steps": "步数",
1804
+ "cfg": "CFG",
1805
+ "sampler_name": "采样器",
1806
+ "scheduler": "调度器",
1807
+ "denoise": "降噪",
1808
+ "feather": "羽化",
1809
+ "crop_factor": "裁剪系数",
1810
+ "drop_size": "最小尺寸",
1811
+ "refiner_ratio": "Refiner比率",
1812
+ "batch_size": "批次大小",
1813
+ "cycle": "循环",
1814
+ "inpaint_model": "内补模型",
1815
+ "noise_mask_feather": "噪波遮罩羽化"
1816
+ }
1817
+ },
1818
+ "easy preDetailerFix": {
1819
+ "title": "预细节修复",
1820
+ "inputs": {
1821
+ "pipe": "节点束",
1822
+ "image": "图像",
1823
+ "model": "模型",
1824
+ "clip": "CLIP",
1825
+ "vae": "VAE",
1826
+ "positive": "正面提示词",
1827
+ "negative": "负面提示词",
1828
+ "bbox_segm_pipe": "BBox&Segm节点束",
1829
+ "sam_pipe": "SAM模型节点束",
1830
+ "optional_image": "图像(可选)"
1831
+ },
1832
+ "widgets": {
1833
+ "guide_size": "引导大小",
1834
+ "max_size": "最大尺寸",
1835
+ "guide_size_for": "引导目标",
1836
+ "bbox": "BBox",
1837
+ "crop_region": "裁剪区域",
1838
+ "seed": "随机种",
1839
+ "control_after_generate": "运行后操作",
1840
+ "fixed": "固定",
1841
+ "increment": "增加",
1842
+ "decrement": "减少",
1843
+ "randomize": "随机",
1844
+ "steps": "步数",
1845
+ "cfg": "CFG",
1846
+ "sampler_name": "采样器",
1847
+ "scheduler": "调度器",
1848
+ "denoise": "降噪",
1849
+ "feather": "羽化",
1850
+ "noise_mask": "仅生成遮罩",
1851
+ "force_inpaint": "强制重绘",
1852
+ "drop_size": "最小尺寸",
1853
+ "wildcard": "通配符",
1854
+ "cycle": "循环"
1855
+ },
1856
+ "outputs": {
1857
+ "pipe": "节点束",
1858
+ "image": "图像",
1859
+ "cropped_refined": "细化图像",
1860
+ "cropped_enhanced_alpha": "细化部分",
1861
+ "mask": "遮罩",
1862
+ "detailer_pipe": "细化节点束",
1863
+ "cnet_images": "ControlNet图像"
1864
+ }
1865
+ },
1866
+ "easy detailerFix": {
1867
+ "title": "细节修复",
1868
+ "inputs": {
1869
+ "pipe": "节点束",
1870
+ "model": "模型"
1871
+ },
1872
+ "widgets": {
1873
+ "image_output": "图像输出"
1874
+ },
1875
+ "outputs": {
1876
+ "pipe": "节点束",
1877
+ "image": "图像",
1878
+ "cropped_refined": "细化图像",
1879
+ "cropped_enhanced_alpha": "细化部分"
1880
+ }
1881
+ },
1882
+ "easy imageRemoveBG": {
1883
+ "title": "图像去除背景",
1884
+ "inputs": {
1885
+ "image": "图像"
1886
+ },
1887
+ "widgets": {
1888
+ "image_output": "图像输出",
1889
+ "save_prefix": "保存前缀"
1890
+ },
1891
+ "outputs": {
1892
+ "image": "图像",
1893
+ "mask": "遮罩"
1894
+ }
1895
+ },
1896
+
1897
+
1898
+ "easy fooocusInpaintLoader": {
1899
+ "title": "foocus内补加载器",
1900
+ "widgets": {
1901
+ "head": "head",
1902
+ "patch": "patch"
1903
+ },
1904
+ "outputs": {
1905
+ "patch": "patch"
1906
+ }
1907
+ },
1908
+
1909
+ "easy loraStackApply": {
1910
+ "title": "应用 LoRA 堆",
1911
+ "inputs": {
1912
+ "lora_stack": "LoRA堆可选",
1913
+ "model": "模型",
1914
+ "optional_clip": "CLIP(可选)"
1915
+ },
1916
+ "outputs": {
1917
+ "model": "模型",
1918
+ "clip": "CLIP"
1919
+ }
1920
+ },
1921
+ "easy controlnetStackApply": {
1922
+ "title": "应用 ControlNet 堆",
1923
+ "inputs": {
1924
+ "controlnet_stack": "ControlNet堆",
1925
+ "pipe": "pipe"
1926
+ },
1927
+ "outputs": {
1928
+ "pipe": "pipe"
1929
+ }
1930
+ },
1931
+
1932
+ "easy ipadapterApply": {
1933
+ "title": "应用IPAdapter",
1934
+ "inputs": {
1935
+ "model": "模型",
1936
+ "image": "图像",
1937
+ "attn_mask": "关注层遮罩",
1938
+ "optional_ipadapter": "IPAdapter(可选)"
1939
+ },
1940
+ "widgets": {
1941
+ "preset": "预置参数",
1942
+ "weight": "权重",
1943
+ "start_at": "开始位置",
1944
+ "end_at": "结束位置",
1945
+ "cache_mode": "缓存模式",
1946
+ "use_tiled": "分块"
1947
+ },
1948
+ "outputs": {
1949
+ "model": "模型",
1950
+ "tiles": "分块图像",
1951
+ "masks": "遮罩",
1952
+ "ipadapter": "IPAdapter"
1953
+ }
1954
+ },
1955
+ "easy ipadapterApplyADV": {
1956
+ "title": "应用IPAdapter(高级)",
1957
+ "inputs": {
1958
+ "model": "模型",
1959
+ "image": "图像",
1960
+ "image_negative": "负面图像",
1961
+ "attn_mask": "关注层遮罩",
1962
+ "clip_vision": "CLIP视觉",
1963
+ "optional_ipadapter": "IPAdapter(可选)"
1964
+ },
1965
+ "widgets": {
1966
+ "preset": "预置参数",
1967
+ "weight": "权重",
1968
+ "weight_type": "权重类型",
1969
+ "combine_embeds": "合并嵌入组",
1970
+ "start_at": "开始位置",
1971
+ "end_at": "结束位置",
1972
+ "embeds_scaling": "嵌入组缩放",
1973
+ "cache_mode": "缓存模式",
1974
+ "use_tiled": "分块",
1975
+ "use_batch": "分批"
1976
+ },
1977
+ "outputs": {
1978
+ "model": "模型",
1979
+ "tiles": "分块图像",
1980
+ "masks": "遮罩",
1981
+ "ipadapter": "IPAdapter"
1982
+ }
1983
+ },
1984
+ "easy ipadapterApplyFaceIDKolors": {
1985
+ "title": "应用IPAdapter(FaceIDKolors)",
1986
+ "inputs": {
1987
+ "model": "模型",
1988
+ "image": "图像",
1989
+ "image_negative": "负面图像",
1990
+ "attn_mask": "关注层遮罩",
1991
+ "clip_vision": "CLIP视觉",
1992
+ "optional_ipadapter": "IPAdapter(可选)"
1993
+ },
1994
+ "widgets": {
1995
+ "preset": "预置参数",
1996
+ "provider": "设备",
1997
+ "weight": "权重",
1998
+ "weight_faceidv2": "FaceIDV2权重",
1999
+ "weight_kolors": "Kolors权重",
2000
+ "weight_type": "权重类型",
2001
+ "combine_embeds": "合并嵌入组",
2002
+ "start_at": "开始位置",
2003
+ "end_at": "结束位置",
2004
+ "embeds_scaling": "嵌入组缩放",
2005
+ "cache_mode": "缓存模式",
2006
+ "use_batch": "分批"
2007
+ },
2008
+ "outputs": {
2009
+ "model": "模型",
2010
+ "tiles": "分块图像",
2011
+ "masks": "遮罩",
2012
+ "ipadapter": "IPAdapter"
2013
+ }
2014
+ },
2015
+ "easy ipadapterApplyEncoder": {
2016
+ "title": "应用IPAdapter(编码)",
2017
+ "inputs": {
2018
+ "model": "模型",
2019
+ "image1": "图像_1",
2020
+ "image2": "图像_2",
2021
+ "image3": "图像_3",
2022
+ "mask1": "遮罩_1",
2023
+ "mask2": "遮罩_2",
2024
+ "mask3": "遮罩_3",
2025
+ "optional_ipadapter": "IPAdapter(可选)",
2026
+ "pos_embeds": "正面嵌入组",
2027
+ "neg_embeds": "负面嵌入组"
2028
+ },
2029
+ "widgets": {
2030
+ "preset": "预置参数",
2031
+ "num_embeds": "嵌入组数量",
2032
+ "weight1": "权重_1",
2033
+ "weight2": "权重_2",
2034
+ "combine_method": "合并方式"
2035
+ },
2036
+ "outputs": {
2037
+ "model": "模型",
2038
+ "ipadapter": "IPAdapter",
2039
+ "pos_embed": "正面嵌入组",
2040
+ "neg_embed": "负面嵌入组"
2041
+ }
2042
+ },
2043
+ "easy ipadapterApplyEmbeds": {
2044
+ "title": "应用IPAdapter(嵌入组)",
2045
+ "inputs": {
2046
+ "model": "模型",
2047
+ "ipadapter": "IPAdapter",
2048
+ "pos_embed": "正面嵌入组",
2049
+ "neg_embed": "负面嵌入组",
2050
+ "attn_mask": "关注层遮罩"
2051
+ },
2052
+ "widgets": {
2053
+ "weight": "权重",
2054
+ "weight_type": "权重类型",
2055
+ "start_at": "开始位置",
2056
+ "end_at": "结束位置",
2057
+ "embeds_scaling": "嵌入组缩放"
2058
+ },
2059
+ "outputs": {
2060
+ "model": "模型",
2061
+ "ipadapter": "IPAdapter"
2062
+ }
2063
+ },
2064
+ "easy ipadapterStyleComposition": {
2065
+ "title": "应用IPAdapter(风格合成)",
2066
+ "inputs": {
2067
+ "model": "模型",
2068
+ "image_style": "风格图像",
2069
+ "image_composition": "合成图像",
2070
+ "image_negative": "负面图像",
2071
+ "attn_mask": "关注层遮罩",
2072
+ "clip_vision": "CLIP视觉",
2073
+ "optional_ipadapter": "IPAdapter(可选)"
2074
+ },
2075
+ "widgets": {
2076
+ "preset": "预置参数",
2077
+ "weight_style": "风格权重",
2078
+ "weight_type": "权重类型",
2079
+ "weight_composition": "合成权重",
2080
+ "expand_style": "扩展风格",
2081
+ "combine_embeds": "合并嵌入组",
2082
+ "start_at": "开始位置",
2083
+ "end_at": "结束位置",
2084
+ "embeds_scaling": "嵌入组缩放",
2085
+ "cache_mode": "缓存模式"
2086
+ },
2087
+ "outputs": {
2088
+ "model": "模型",
2089
+ "ipadapter": "IPAdapter"
2090
+ }
2091
+ },
2092
+ "easy ipadapterApplyRegional": {
2093
+ "title": "应用IPAdapter(区域)",
2094
+ "inputs": {
2095
+ "model": "模型",
2096
+ "image": "图像",
2097
+ "mask": "遮罩",
2098
+ "optional_ipadapter_params": "IPAdapter参数组(可选)"
2099
+ },
2100
+ "widgets": {
2101
+ "positive": "正面提示词",
2102
+ "negative": "负面提示词",
2103
+ "image_weight": "图像权重",
2104
+ "prompt_weight": "提示词权重",
2105
+ "weight_type": "权重类型",
2106
+ "start_at": "开始位置",
2107
+ "end_at": "结束位置"
2108
+ },
2109
+ "outputs": {
2110
+ "pipe": "节点束",
2111
+ "ipadapter_params": "IPAdapter参数组",
2112
+ "positive": "正面条件",
2113
+ "negative": "负面条件"
2114
+ }
2115
+ },
2116
+ "easy ipadapterApplyFromParams": {
2117
+ "title": "应用IPAdapter(参数组)",
2118
+ "inputs": {
2119
+ "model": "模型",
2120
+ "ipadapter_params": "IPAdapter参数组",
2121
+ "optional_ipadapter": "IPAdapter",
2122
+ "image_negative": "负面图像"
2123
+ },
2124
+ "widgets": {
2125
+ "preset": "预置参数",
2126
+ "combine_embeds": "合并嵌入组",
2127
+ "embeds_scaling": "嵌入组缩放",
2128
+ "cache_mode": "缓存模式"
2129
+ },
2130
+ "outputs": {
2131
+ "model": "模型",
2132
+ "ipadapter": "IPAdapter"
2133
+ }
2134
+ },
2135
+ "easy instantIDApply": {
2136
+ "title": "应用InstantID",
2137
+ "inputs": {
2138
+ "pipe": "节点束",
2139
+ "image": "图像",
2140
+ "image_kps": "图像_kps",
2141
+ "mask": "遮罩",
2142
+ "control_net": "ControlNet"
2143
+ },
2144
+ "widgets": {
2145
+ "instantid_file": "InstantID",
2146
+ "insightface": "InsightFace",
2147
+ "control_net_name": "ControlNet",
2148
+ "cn_strength": "ControlnNet权重",
2149
+ "cn_soft_weights": "ControlNet柔和权重",
2150
+ "weight": "权重",
2151
+ "start_at": "开始位置",
2152
+ "end_at": "结束位置",
2153
+ "noise": "噪波"
2154
+ },
2155
+ "outputs": {
2156
+ "pipe": "节点束",
2157
+ "model": "模型",
2158
+ "positive": "正面条件",
2159
+ "negative": "负面条件"
2160
+ }
2161
+ },
2162
+ "easy instantIDApplyADV": {
2163
+ "title": "应用InstantID(高级)",
2164
+ "inputs": {
2165
+ "pipe": "节点束",
2166
+ "image": "图像",
2167
+ "image_kps": "图像_kps",
2168
+ "mask": "遮罩",
2169
+ "control_net": "ControlNet",
2170
+ "positive": "正面条件",
2171
+ "negative": "负面条件"
2172
+ },
2173
+ "widgets": {
2174
+ "instantid_file": "InstantID",
2175
+ "insightface": "InsightFace",
2176
+ "control_net_name": "ControlNet",
2177
+ "cn_strength": "ControlnNet权重",
2178
+ "cn_soft_weights": "ControlNet柔和权重",
2179
+ "weight": "权重",
2180
+ "start_at": "开始位置",
2181
+ "end_at": "结束位置",
2182
+ "noise": "噪波"
2183
+ },
2184
+ "outputs": {
2185
+ "pipe": "节点束",
2186
+ "model": "模型",
2187
+ "positive": "正面条件",
2188
+ "negative": "负面条件"
2189
+ }
2190
+ },
2191
+ "easy pulIDApply": {
2192
+ "title": "应用PuLID",
2193
+ "inputs": {
2194
+ "model": "模型",
2195
+ "image": "图像",
2196
+ "attn_mask": "关注层遮罩"
2197
+ },
2198
+ "widgets": {
2199
+ "pulid_file": "PuLID",
2200
+ "insightface": "InsightFace",
2201
+ "method": "方法",
2202
+ "weight": "权重",
2203
+ "start_at": "开始位置",
2204
+ "end_at": "结束位置"
2205
+ },
2206
+ "outputs": {
2207
+ "model": "模型"
2208
+ }
2209
+ },
2210
+ "easy pulIDApplyADV": {
2211
+ "title": "应用PuLID(高级)",
2212
+ "inputs": {
2213
+ "model": "模型",
2214
+ "image": "图像",
2215
+ "attn_mask": "关注层遮罩"
2216
+ },
2217
+ "widgets": {
2218
+ "pulid_file": "PuLID",
2219
+ "insightface": "InsightFace",
2220
+ "method": "方法",
2221
+ "weight": "权重",
2222
+ "projection": "预测",
2223
+ "fidelity": "精确度",
2224
+ "noise": "噪波",
2225
+ "start_at": "开始位置",
2226
+ "end_at": "结束位置"
2227
+ },
2228
+ "outputs": {
2229
+ "model": "模型"
2230
+ }
2231
+ },
2232
+
2233
+
2234
+ "easy styleAlignedBatchAlign": {
2235
+ "title": "风格对齐",
2236
+ "inputs": {
2237
+ "model": "模型"
2238
+ },
2239
+ "widgets": {
2240
+ "share_norm": "share_norm",
2241
+ "share_attn": "share_attn",
2242
+ "scale": "scale"
2243
+ },
2244
+ "outputs": {
2245
+ "MODEL": "模型"
2246
+ }
2247
+ },
2248
+ "easy icLightApply": {
2249
+ "title": "应用ICLight",
2250
+ "inputs": {
2251
+ "model": "模型",
2252
+ "latent": "Latent"
2253
+ },
2254
+ "widgets": {
2255
+ "mode": "模式"
2256
+ },
2257
+ "outputs": {
2258
+ "MODEL": "模型"
2259
+ }
2260
+ },
2261
+
2262
+
2263
+ "easy stableDiffusion3API": {
2264
+ "title": "StableDiffusion 3 API",
2265
+ "inputs": {
2266
+ "optional_image": "图像(可选)"
2267
+ },
2268
+ "widgets": {
2269
+ "positive": "正面提示词",
2270
+ "negative": "负面提示词",
2271
+ "model": "模型",
2272
+ "aspect_ratio": "宽高比",
2273
+ "seed": "随机种",
2274
+ "control_before_generate": "运行前操作",
2275
+ "denoise": "降噪",
2276
+ "cost_credit": "点数"
2277
+ },
2278
+ "outputs": {
2279
+ "image": "图像"
2280
+ }
2281
+ },
2282
+
2283
+
2284
+ "easy imageInsetCrop": {
2285
+ "title": "图像裁切",
2286
+ "inputs": {
2287
+ "image": "图像"
2288
+ },
2289
+ "widgets": {
2290
+ "measurement": "测量",
2291
+ "left": "左",
2292
+ "right": "右",
2293
+ "top": "上",
2294
+ "bottom": "下"
2295
+ },
2296
+ "outputs": {
2297
+ "IMAGE": "图像"
2298
+ }
2299
+ },
2300
+ "easy imageCount": {
2301
+ "title": "图像计数",
2302
+ "inputs": {
2303
+ "images": "图像"
2304
+ },
2305
+ "outputs": {
2306
+ "count": "整数"
2307
+ }
2308
+ },
2309
+ "easy imageSize": {
2310
+ "title": "图像尺寸",
2311
+ "inputs": {
2312
+ "image": "图像"
2313
+ },
2314
+ "outputs": {
2315
+ "width_int": "宽度",
2316
+ "height_int": "高度"
2317
+ }
2318
+ },
2319
+ "easy imageSizeBySide": {
2320
+ "title": "图像尺寸(边)",
2321
+ "inputs": {
2322
+ "image": "图像"
2323
+ },
2324
+ "widgets": {
2325
+ "side": "选择边"
2326
+ },
2327
+ "outputs": {
2328
+ "resolution": "分辨率"
2329
+ }
2330
+ },
2331
+ "easy imageSizeByLongerSide": {
2332
+ "title": "图像尺寸(长边)",
2333
+ "inputs": {
2334
+ "image": "图像"
2335
+ },
2336
+ "outputs": {
2337
+ "resolution": "分辨率"
2338
+ }
2339
+ },
2340
+ "easy imageSizeShow": {
2341
+ "title": "图像尺寸显示",
2342
+ "widgets": {
2343
+ "resize_mode": "拉伸模式",
2344
+ "Just Resize": "仅拉伸",
2345
+ "Crop and Resize": "裁剪并拉伸",
2346
+ "Resize and Fill": "拉伸并填充"
2347
+ },
2348
+ "inputs": {
2349
+ "image": "图像"
2350
+ }
2351
+ },
2352
+ "easy imageScaleDown": {
2353
+ "title": "图像缩小",
2354
+ "inputs": {
2355
+ "images": "图像"
2356
+ },
2357
+ "widgets": {
2358
+ "width": "宽度",
2359
+ "height": "高度",
2360
+ "crop": "裁切"
2361
+ },
2362
+ "outputs": {
2363
+ "IMAGE": "图像"
2364
+ }
2365
+ },
2366
+ "easy imageScaleDownBy": {
2367
+ "title": "图像缩小(按比例)",
2368
+ "inputs": {
2369
+ "images": "图像"
2370
+ },
2371
+ "widgets": {
2372
+ "scale_by": "缩小比例"
2373
+ },
2374
+ "outputs": {
2375
+ "IMAGE": "图像"
2376
+ }
2377
+ },
2378
+ "easy imageScaleDownToSize": {
2379
+ "title": "图像缩小(按边)",
2380
+ "inputs": {
2381
+ "images": "图像"
2382
+ },
2383
+ "widgets": {
2384
+ "size": "尺寸",
2385
+ "mode": "模式"
2386
+ },
2387
+ "outputs": {
2388
+ "IMAGE": "图像"
2389
+ }
2390
+ },
2391
+ "easy imageRatio": {
2392
+ "title": "图像比率",
2393
+ "inputs": {
2394
+ "image": "图像"
2395
+ },
2396
+ "outputs": {
2397
+ "width_ratio_int": "宽度比率整数",
2398
+ "height_ratio_int": "高度比率整数",
2399
+ "width_ratio_float": "宽度比率浮点",
2400
+ "height_ratio_float": "高度比率浮点"
2401
+ }
2402
+ },
2403
+ "easy imageToMask": {
2404
+ "title": "图片到遮罩",
2405
+ "inputs": {
2406
+ "image": "图像"
2407
+ },
2408
+ "widgets": {
2409
+ "channel": "通道"
2410
+ },
2411
+ "outputs": {
2412
+ "MASK": "遮罩"
2413
+ }
2414
+ },
2415
+ "easy imageConcat": {
2416
+ "title": "图像联结",
2417
+ "inputs": {
2418
+ "image1": "图像_1",
2419
+ "image2": "图像_2"
2420
+ },
2421
+ "widgets": {
2422
+ "direction": "方向",
2423
+ "match_image_size": "匹配图像尺寸"
2424
+ },
2425
+ "outputs": {
2426
+ "IMAGE": "图像"
2427
+ }
2428
+ },
2429
+ "easy imageListToImageBatch": {
2430
+ "title": "图像列表到图像批次",
2431
+ "inputs": {
2432
+ "images": "图像"
2433
+ },
2434
+ "outputs": {
2435
+ "IMAGE": "图像"
2436
+ }
2437
+ },
2438
+ "easy imageBatchToImageList": {
2439
+ "title": "图像批次到图像列表",
2440
+ "inputs": {
2441
+ "image": "图像"
2442
+ },
2443
+ "outputs": {
2444
+ "IMAGE": "图像"
2445
+ }
2446
+ },
2447
+ "easy imageSplitList": {
2448
+ "title": "图像拆分",
2449
+ "inputs": {
2450
+ "images": "图像"
2451
+ },
2452
+ "outputs": {
2453
+ "images": "图像"
2454
+ }
2455
+ },
2456
+ "easy imageSplitGrid": {
2457
+ "title": "图像拆分网格",
2458
+ "inputs": {
2459
+ "images": "图像"
2460
+ },
2461
+ "widgets": {
2462
+ "row": "行",
2463
+ "column": "列"
2464
+ },
2465
+ "outputs": {
2466
+ "images": "图像"
2467
+ }
2468
+ },
2469
+ "easy imagesSplitImage": {
2470
+ "title": "图像拆分图像",
2471
+ "inputs": {
2472
+ "images": "图像"
2473
+ },
2474
+ "outputs": {
2475
+ "image1": "图像_1",
2476
+ "image2": "图像_2",
2477
+ "image3": "图像_3",
2478
+ "image4": "图像_4",
2479
+ "image5": "图像_5"
2480
+ }
2481
+ },
2482
+ "easy imagecropFromMask": {
2483
+ "title": "图像遮罩裁剪",
2484
+ "inputs": {
2485
+ "image": "图像",
2486
+ "mask": "遮罩"
2487
+ },
2488
+ "widgets": {
2489
+ "image_crop_multi": "图像裁剪乘数",
2490
+ "mask_crop_multi": "遮罩裁剪乘数",
2491
+ "bbox_smooth_alpha": "BBox平滑Alpha"
2492
+ },
2493
+ "outputs": {
2494
+ "crop_image": "图像",
2495
+ "crop_mask": "遮罩",
2496
+ "bbox": "BBox"
2497
+ }
2498
+ },
2499
+ "easy imageCropFromMask": {
2500
+ "title": "遮罩裁剪图像",
2501
+ "inputs": {
2502
+ "image": "图像",
2503
+ "mask": "遮罩"
2504
+ },
2505
+ "widgets": {
2506
+ "image_crop_multi": "图像裁剪乘数",
2507
+ "mask_crop_multi": "遮罩裁剪乘数",
2508
+ "bbox_smooth_alpha": "BBox平滑Alpha"
2509
+ },
2510
+ "outputs": {
2511
+ "crop_image": "图像",
2512
+ "crop_mask": "遮罩",
2513
+ "bbox": "BBox"
2514
+ }
2515
+ },
2516
+ "easy imageUncropFromBBOX": {
2517
+ "title": "图像BBoxUncrop",
2518
+ "inputs": {
2519
+ "original_image": "原图像",
2520
+ "crop_image": "裁剪图像",
2521
+ "bbox": "BBox",
2522
+ "optional_mask": "遮罩(可选)"
2523
+ },
2524
+ "widgets": {
2525
+ "border_blending": "边框融合",
2526
+ "use_square_mask": "方形遮罩"
2527
+ },
2528
+ "outputs": {
2529
+ "image": "图像"
2530
+ }
2531
+ },
2532
+ "easy imagePixelPerfect": {
2533
+ "title": "图像完美像素",
2534
+ "widgets": {
2535
+ "resize_mode": "拉伸模式",
2536
+ "Just Resize": "仅拉伸",
2537
+ "Crop and Resize": "裁剪并拉伸",
2538
+ "Resize and Fill": "拉伸并填充"
2539
+ },
2540
+ "inputs": {
2541
+ "image": "图像"
2542
+ },
2543
+ "outputs": {
2544
+ "resolution": "分辨率(整数)"
2545
+ }
2546
+ },
2547
+ "easy imageSave": {
2548
+ "title": "图像保存",
2549
+ "inputs":{
2550
+ "images": "图像"
2551
+ },
2552
+ "widgets": {
2553
+ "filename_prefix": "文件名前缀",
2554
+ "only_preview": "仅预览"
2555
+ }
2556
+ },
2557
+ "easy imageRemBg": {
2558
+ "title": "图像背景移除",
2559
+ "inputs": {
2560
+ "images": "图像"
2561
+ },
2562
+ "widgets": {
2563
+ "rem_mode": "移除模式",
2564
+ "image_output": "图像输出"
2565
+ },
2566
+ "outputs": {
2567
+ "image": "图像",
2568
+ "mask": "遮罩"
2569
+ }
2570
+ },
2571
+ "easy imageChooser": {
2572
+ "title": "图像选择器",
2573
+ "inputs": {
2574
+ "images": "图像"
2575
+ },
2576
+ "outputs": {
2577
+ "image": "图像"
2578
+ }
2579
+ },
2580
+ "easy imageColorMatch": {
2581
+ "title": "图像颜色匹配",
2582
+ "inputs": {
2583
+ "image_ref": "参考图像",
2584
+ "image_target": "目标图像"
2585
+ },
2586
+ "widgets": {
2587
+ "method": "方法",
2588
+ "image_output": "图像输出"
2589
+ },
2590
+ "outputs": {
2591
+ "image": "图像"
2592
+ }
2593
+ },
2594
+ "easy imageDetailTransfer": {
2595
+ "title": "图像细节迁移",
2596
+ "inputs": {
2597
+ "target": "目标图像",
2598
+ "source": "源图像",
2599
+ "mask": "遮罩"
2600
+ },
2601
+ "widgets": {
2602
+ "mode": "模式",
2603
+ "blur_sigma": "模糊",
2604
+ "blend_factor": "混合",
2605
+ "image_output": "图像输出"
2606
+ },
2607
+ "outputs": {
2608
+ "image": "图像"
2609
+ }
2610
+ },
2611
+ "easy imageInterrogator": {
2612
+ "title": "图像反推",
2613
+ "inputs": {
2614
+ "image": "图像"
2615
+ },
2616
+ "widgets": {
2617
+ "mode": "模式",
2618
+ "use_lowvram": "低显存"
2619
+ },
2620
+ "outputs": {
2621
+ "prompt": "提示词"
2622
+ }
2623
+ },
2624
+ "easy imageToBase64": {
2625
+ "title": "图像到Bae64",
2626
+ "inputs": {
2627
+ "image": "图像"
2628
+ },
2629
+ "outputs": {
2630
+ "STRING": "字符串"
2631
+ }
2632
+ },
2633
+ "easy joinImageBatch": {
2634
+ "title": "合并图像批次",
2635
+ "inputs": {
2636
+ "images": "图像"
2637
+ },
2638
+ "widgets": {
2639
+ "mode": "合并模式"
2640
+ },
2641
+ "outputs": {
2642
+ "image": "图像"
2643
+ }
2644
+ },
2645
+ "easy removeLocalImage": {
2646
+ "title": "移除本地图像",
2647
+ "widgets": {
2648
+ "file_name": "文件名"
2649
+ }
2650
+ },
2651
+ "easy poseEditor": {
2652
+ "title": "姿势编辑器",
2653
+ "widgets": {
2654
+ "image": "图像",
2655
+ "Add pose": "添加姿势",
2656
+ "Reset pose": "重置姿势"
2657
+ },
2658
+ "outputs": {
2659
+ "IMAGE": "图像"
2660
+ }
2661
+ },
2662
+
2663
+ "easy loadImageBase64": {
2664
+ "title": "加载图像(Base64)",
2665
+ "widgets": {
2666
+ "base64_data": "Bae64数据",
2667
+ "image_output": "图像输出"
2668
+ },
2669
+ "outputs": {
2670
+ "IMAGE": "图像",
2671
+ "MASK": "遮罩"
2672
+ }
2673
+ },
2674
+
2675
+ "easy applyFooocusInpaint": {
2676
+ "title": "应用Fooocus局部重绘",
2677
+ "inputs": {
2678
+ "model": "模型",
2679
+ "latent": "Latent"
2680
+ },
2681
+ "widgets": {
2682
+ "head": "head",
2683
+ "patch": "patch"
2684
+ },
2685
+ "outputs": {
2686
+ "model": "模型"
2687
+ }
2688
+ },
2689
+ "easy applyBrushNet": {
2690
+ "title": "应用BrushNet",
2691
+ "inputs": {
2692
+ "pipe": "节点束",
2693
+ "image": "图像",
2694
+ "mask": "遮罩"
2695
+ },
2696
+ "widgets": {
2697
+ "brushnet": "BrushNet",
2698
+ "dtype": "剪枝类型",
2699
+ "scale": "缩放",
2700
+ "start_at": "开始位置",
2701
+ "end_at": "结束位置"
2702
+ },
2703
+ "outputs": {
2704
+ "pipe": "节点束"
2705
+ }
2706
+ },
2707
+ "easy applyPowerPaint": {
2708
+ "title": "应用PowerPaint",
2709
+ "inputs": {
2710
+ "pipe": "节点束",
2711
+ "image": "图像",
2712
+ "mask": "遮罩"
2713
+ },
2714
+ "widgets": {
2715
+ "powerpaint_model": "PowerPaint模型",
2716
+ "powerpaint_clip": "PowerPaintCLIP",
2717
+ "dtype": "剪枝类型",
2718
+ "fitting": "适应",
2719
+ "function": "模式",
2720
+ "scale": "缩放",
2721
+ "start_at": "开始位置",
2722
+ "end_at": "结束位置",
2723
+ "save_memory": "save_memory"
2724
+ },
2725
+ "outputs": {
2726
+ "pipe": "节点束"
2727
+ }
2728
+ },
2729
+ "easy applyInpaint": {
2730
+ "title": "应用Inpaint",
2731
+ "inputs": {
2732
+ "pipe": "节点束",
2733
+ "image": "图像",
2734
+ "mask": "遮罩"
2735
+ },
2736
+ "widgets": {
2737
+ "inpaint_mode": "模式",
2738
+ "encode": "编码",
2739
+ "grow_mask_by": "遮罩扩展"
2740
+ },
2741
+ "outputs": {
2742
+ "pipe": "节点束"
2743
+ }
2744
+ },
2745
+
2746
+ "easy showSpentTime": {
2747
+ "title": "显示推理时间",
2748
+ "inputs": {
2749
+ "pipe": "节点束"
2750
+ }
2751
+ },
2752
+ "easy showLoaderSettingsNames": {
2753
+ "title": "显示加载器参数名称",
2754
+ "inputs": {
2755
+ "pipe": "节点束"
2756
+ },
2757
+ "outputs": {
2758
+ "ckpt_name": "模型名称",
2759
+ "vae_name": "VAE名称",
2760
+ "lora_name": "LORA名称"
2761
+ }
2762
+ },
2763
+ "easy sliderControl": {
2764
+ "title": "滑条面板",
2765
+ "widgets": {
2766
+ "mode": "模式",
2767
+ "model_type": "模型类型"
2768
+ },
2769
+ "outputs": {
2770
+ "layer_weights": "层权重"
2771
+ }
2772
+ },
2773
+ "easy ckptNames": {
2774
+ "title": "ckpt名称列表",
2775
+ "widgets": {
2776
+ "ckpt_name": "模型名称"
2777
+ },
2778
+ "outputs": {
2779
+ "ckpt_name": "模型名称"
2780
+ }
2781
+ },
2782
+ "easy controlnetNames": {
2783
+ "title": "ControlNet名称列表",
2784
+ "widgets": {
2785
+ "controlnet_name": "ControlNet名称"
2786
+ },
2787
+ "outputs": {
2788
+ "controlnet_name": "ControlNet名称"
2789
+ }
2790
+ },
2791
+ "easy string": {
2792
+ "title": "字符串",
2793
+ "widgets": {
2794
+ "value": "值"
2795
+ },
2796
+ "outputs": {
2797
+ "string": "字符串"
2798
+ }
2799
+ },
2800
+ "easy int": {
2801
+ "title": "整数",
2802
+ "widgets": {
2803
+ "value": "值"
2804
+ },
2805
+ "outputs": {
2806
+ "int": "整数"
2807
+ }
2808
+ },
2809
+ "easy rangeInt": {
2810
+ "title": "整数(范围)",
2811
+ "widgets": {
2812
+ "range_mode": "范围模式",
2813
+ "start": "开始",
2814
+ "stop": "终止",
2815
+ "step": "步进",
2816
+ "end_mode": "结束模式",
2817
+ "num_steps": "步进数量"
2818
+ },
2819
+ "outputs": {
2820
+ "range": "范围",
2821
+ "range_sizes": "范围大小"
2822
+ }
2823
+ },
2824
+ "easy float": {
2825
+ "title": "浮点数",
2826
+ "widgets": {
2827
+ "value": "值"
2828
+ },
2829
+ "outputs": {
2830
+ "float": "浮点"
2831
+ }
2832
+ },
2833
+ "easy rangeFloat": {
2834
+ "title": "浮点数(范围)",
2835
+ "widgets": {
2836
+ "range_mode": "范围模式",
2837
+ "start": "开始",
2838
+ "stop": "终止",
2839
+ "step": "步进",
2840
+ "end_mode": "结束模式",
2841
+ "num_steps": "步进数量"
2842
+ },
2843
+ "outputs": {
2844
+ "range": "范围",
2845
+ "range_sizes": "范围大小"
2846
+ }
2847
+ },
2848
+
2849
+
2850
+ "easy whileLoopStart": {
2851
+ "title": "While循环-起始",
2852
+ "inputs": {
2853
+ "initial_value0": "初始值0",
2854
+ "initial_value1": "初始值1",
2855
+ "initial_value2": "初始值2",
2856
+ "initial_value3": "初始值3",
2857
+ "initial_value4": "初始值4",
2858
+ "initial_value5": "初始值5",
2859
+ "initial_value6": "初始值6",
2860
+ "initial_value7": "初始值7",
2861
+ "initial_value8": "初始值8",
2862
+ "initial_value9": "初始值9"
2863
+ },
2864
+ "widgets": {
2865
+ "condition": "条件"
2866
+ },
2867
+ "outputs": {
2868
+ "flow": "流",
2869
+ "value0": "值0",
2870
+ "value1": "值1",
2871
+ "value2": "值2",
2872
+ "value3": "值3",
2873
+ "value4": "值4",
2874
+ "value5": "值5",
2875
+ "value6": "值6",
2876
+ "value7": "值7",
2877
+ "value8": "值8",
2878
+ "value9": "值9"
2879
+ }
2880
+ },
2881
+ "easy whileLoopEnd": {
2882
+ "title": "While循环-结束",
2883
+ "inputs": {
2884
+ "flow": "流",
2885
+ "initial_value0": "初始值0",
2886
+ "initial_value1": "初始值1",
2887
+ "initial_value2": "初始值2",
2888
+ "initial_value3": "初始值3",
2889
+ "initial_value4": "初始值4",
2890
+ "initial_value5": "初始值5",
2891
+ "initial_value6": "初始值6",
2892
+ "initial_value7": "初始值7",
2893
+ "initial_value8": "初始值8",
2894
+ "initial_value9": "初始值9"
2895
+ },
2896
+ "widgets": {
2897
+ "condition": "条件"
2898
+ },
2899
+ "outputs": {
2900
+ "value0": "值0",
2901
+ "value1": "值1",
2902
+ "value2": "值2",
2903
+ "value3": "值3",
2904
+ "value4": "值4",
2905
+ "value5": "值5",
2906
+ "value6": "值6",
2907
+ "value7": "值7",
2908
+ "value8": "值8",
2909
+ "value9": "值9"
2910
+ }
2911
+ },
2912
+
2913
+
2914
+ "easy boolean": {
2915
+ "title": "布尔",
2916
+ "widgets": {
2917
+ "value": "值"
2918
+ },
2919
+ "outputs": {
2920
+ "boolean": "布尔"
2921
+ }
2922
+ },
2923
+ "easy compare": {
2924
+ "title": "比较",
2925
+ "inputs": {
2926
+ "a": "A",
2927
+ "b": "B"
2928
+ },
2929
+ "widgets": {
2930
+ "comparison": "比较方式"
2931
+ },
2932
+ "outputs": {
2933
+ "boolean": "布尔"
2934
+ }
2935
+ },
2936
+ "easy if": {
2937
+ "title": "If判断",
2938
+ "inputs": {
2939
+ "any": "输入任何"
2940
+ }
2941
+ },
2942
+ "easy imageSwitch": {
2943
+ "title": "图像切换",
2944
+ "inputs": {
2945
+ "image_a": "图像_A",
2946
+ "image_b": "图像_B"
2947
+ },
2948
+ "widgets": {
2949
+ "boolean": "布尔"
2950
+ },
2951
+ "outputs": {
2952
+ "IMAGE": "图像"
2953
+ }
2954
+ },
2955
+ "easy textSwitch": {
2956
+ "title": "文本切换",
2957
+ "inputs": {
2958
+ "text1": "文本_1",
2959
+ "text2": "文本_2"
2960
+ },
2961
+ "widgets": {
2962
+ "input": "输入"
2963
+ },
2964
+ "outputs": {
2965
+ "STRING": "字符串"
2966
+ }
2967
+ },
2968
+ "easy isSDXL": {
2969
+ "title": "判断SDXL",
2970
+ "inputs": {
2971
+ "optional_pipe": "节点束(可选)",
2972
+ "optional_clip": "CLIP(可选)"
2973
+ },
2974
+ "outputs": {
2975
+ "boolean": "布尔"
2976
+ }
2977
+ },
2978
+ "easy xyAny": {
2979
+ "title": "任意XY输入",
2980
+ "inputs": {
2981
+ "X": "X",
2982
+ "Y": "Y"
2983
+ },
2984
+ "widgets": {
2985
+ "direction": "方向"
2986
+ },
2987
+ "outputs": {
2988
+ "X": "X",
2989
+ "Y": "Y"
2990
+ }
2991
+ },
2992
+ "easy convertAnything": {
2993
+ "title": "转换任何",
2994
+ "inputs": {
2995
+ "anything": "输入任何"
2996
+ },
2997
+ "widgets": {
2998
+ "output_type": "输出类型"
2999
+ }
3000
+ },
3001
+ "easy showAnything": {
3002
+ "title": "展示任何",
3003
+ "inputs": {
3004
+ "anything": "输入任何"
3005
+ }
3006
+ },
3007
+ "easy showTensorShape": {
3008
+ "title": "显示Tensor形状",
3009
+ "inputs": {
3010
+ "tensor": "Tensor"
3011
+ }
3012
+ },
3013
+ "easy clearCacheKey": {
3014
+ "title": "清除缓存键",
3015
+ "inputs": {
3016
+ "anything": "输入任何"
3017
+ },
3018
+ "widgets": {
3019
+ "cache_key": "缓存键"
3020
+ }
3021
+ },
3022
+ "easy clearCacheAll": {
3023
+ "title": "清除全部缓存",
3024
+ "inputs": {
3025
+ "anything": "输入任何"
3026
+ }
3027
+ },
3028
+ "easy cleanGpuUsed": {
3029
+ "title": "清理GPU占用",
3030
+ "inputs": {
3031
+ "anything": "输入任何"
3032
+ }
3033
+ }
3034
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-EasyAnimate.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "EasyAnimateLoader": {
3
+ "title": "EasyAnimate加载器",
4
+ "widgets": {
5
+ "pixart_path": "PixArt路径",
6
+ "motion_ckpt": "motion模型",
7
+ "sampler_name": "采样器",
8
+ "device": "设备",
9
+ "transformer_ckpt": "Transformer模型",
10
+ "lora_ckpt": "LoRA模型",
11
+ "vae_ckpt": "VAE模型",
12
+ "lora_weight": "LoRA权重"
13
+ },
14
+ "outputs": {
15
+ "EasyAnimateModel": "EasyAnimate模型"
16
+ }
17
+ },
18
+ "EasyAnimateRun": {
19
+ "title": "EasyAnimate执行",
20
+ "inputs": {
21
+ "model": "EasyAnimate模型"
22
+ },
23
+ "widgets": {
24
+ "prompt": "提示词",
25
+ "negative_prompt": "负面提示词",
26
+ "video_length": "帧数",
27
+ "num_inference_steps": "推理步数",
28
+ "width": "宽度",
29
+ "height": "高度",
30
+ "guidance_scale": "引导缩放",
31
+ "seed": "随机种",
32
+ "control_before_generate": "运行前操作"
33
+ },
34
+ "outputs": {
35
+ "IMAGE": "图像"
36
+ }
37
+ }
38
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-EasyAnimateWrapper.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "DownloadAndLoadEasyAnimateModel": {
3
+ "title": "下载并加载 EasyAnimate 模型",
4
+ "widgets": {
5
+ "model": "模型",
6
+ "precision": "精度",
7
+ "low_gpu_memory_mode": "低显存模式"
8
+ },
9
+ "outputs": {
10
+ "easyanimate_pipeline": "EasyAnimate"
11
+ }
12
+ },
13
+ "EasyAnimateTextEncode": {
14
+ "title": "EasyAnimate文本编码",
15
+ "inputs": {
16
+ "clip": "CLIP"
17
+ },
18
+ "widgets": {
19
+ "prompt": "提示词"
20
+ },
21
+ "outputs": {
22
+ "conditioning": "条件"
23
+ }
24
+ },
25
+ "EasyAnimateSampler": {
26
+ "title": "EasyAnimate 采样器",
27
+ "inputs": {
28
+ "easyanimate_pipeline": "EasyAnimate",
29
+ "positive": "正面条件",
30
+ "negative": "负面条件",
31
+ "image_embeds": "图像嵌入组",
32
+ "image_start": "起始图像",
33
+ "image_end": "结束图像",
34
+ "full_input_video": "视频图像"
35
+ },
36
+ "widgets": {
37
+ "width": "宽度",
38
+ "height": "高度",
39
+ "frames": "帧数",
40
+ "steps": "步数",
41
+ "cfg": "CFG",
42
+ "seed": "随机种",
43
+ "control_after_generate": "运行后操作",
44
+ "scheduler": "调度器",
45
+ "denoise_strength": "降噪",
46
+ "keep_model_loaded": "保持模型加载"
47
+ },
48
+ "outputs": {
49
+ "latents": "EasyAnimateLatent"
50
+ }
51
+ },
52
+ "EasyAnimateDecode": {
53
+ "title": "EasyAnimate 解码",
54
+ "inputs": {
55
+ "easyanimate_pipeline": "EasyAnimate",
56
+ "latents": "EasyAnimateLatent"
57
+ },
58
+ "outputs": {
59
+ "images": "图像"
60
+ }
61
+ },
62
+ "EasyAnimateResize": {
63
+ "title": "EasyAnimate 缩放",
64
+ "inputs": {
65
+ "image": "图像"
66
+ },
67
+ "widgets": {
68
+ "base_resolution": "基础分辨率"
69
+ },
70
+ "outputs": {
71
+ "image": "图像"
72
+ }
73
+ },
74
+ "EasyAnimateImageEncoder": {
75
+ "title": "EasyAnimate 图像编码",
76
+ "inputs": {
77
+ "image": "图像"
78
+ },
79
+ "widgets": {
80
+ "strength": "强度"
81
+ },
82
+ "outputs": {
83
+ "image_embeded": "图像嵌入组"
84
+ }
85
+ }
86
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-ExLlama-Nodes.json ADDED
@@ -0,0 +1,75 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "ZuellniExLlamaLoader": {
3
+ "title": "ExLLaMA載入器",
4
+ "widgets": {
5
+ "model_dir": "模型路徑",
6
+ "max_seq_len": "最大序列長度"
7
+ },
8
+ "outputs": {
9
+ "MODEL": "模型"
10
+ }
11
+ },
12
+ "ZuellniExLlamaLoraLoader": {
13
+ "title": "ExLLaMALoRA載入器",
14
+ "inputs": {
15
+ "model": "模型"
16
+ },
17
+ "widgets": {
18
+ "lora_dir": "LoRA路徑"
19
+ },
20
+ "outputs": {
21
+ "LORA": "LoRA"
22
+ }
23
+ },
24
+ "ZuellniExLlamaLora": {
25
+ "title": "ExLLaMALoRA載入器",
26
+ "inputs": {
27
+ "model": "模型"
28
+ },
29
+ "widgets": {
30
+ "lora_dir": "LoRA路徑"
31
+ },
32
+ "outputs": {
33
+ "LORA": "LoRA"
34
+ }
35
+ },
36
+ "ZuellniExLlamaGenerator": {
37
+ "title": "ExLLaMA生成器",
38
+ "inputs": {
39
+ "model": "模型",
40
+ "lora": "LoRA"
41
+ },
42
+ "widgets": {
43
+ "lora_dir": "LoRA路徑",
44
+ "stop_on_newline": "換行停止",
45
+ "temperature": "溫度",
46
+ "max_tokens": "最大Token數量",
47
+ "top_k": "top_k",
48
+ "top_l": "top_l",
49
+ "typical": "typical",
50
+ "penalty": "重複懲罰",
51
+ "seed": "隨機種子",
52
+ "control_after_generate": "執行後操作",
53
+ "fixed": "固定",
54
+ "increment": "增加",
55
+ "decrement": "減少",
56
+ "randomize": "隨機",
57
+ "prompt": "提示詞",
58
+ "Prompt": "提示詞",
59
+ "PROMPT": "提示詞"
60
+ },
61
+ "outputs": {
62
+ "TEXT": "文本"
63
+ }
64
+ },
65
+ "ZuellniExLlamaPreviewer": {
66
+ "title": "ExLLaMA預覽文本",
67
+ "inputs": {
68
+ "text": "文本"
69
+ },
70
+ "widgets": {
71
+ "text": "文本",
72
+ "TEXT": "文本"
73
+ }
74
+ }
75
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Florence.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "DownloadAndLoadFlorence2Model": {
3
+ "title": "下载并加载 Florence2 模型",
4
+ "inputs": {
5
+ "lora": "LoRA"
6
+ },
7
+ "widgets": {
8
+ "model": "模型",
9
+ "precision": "精度",
10
+ "attention": "注意力"
11
+ },
12
+ "outputs": {
13
+ "florence2_model": "Florence2"
14
+ }
15
+ },
16
+ "DownloadAndLoadFlorence2Lora": {
17
+ "Title": "下载并加载 Florence2 LoRA",
18
+ "widgets": {
19
+ "model": "模型"
20
+ },
21
+ "outputs": {
22
+ "lora": "LoRA"
23
+ }
24
+ },
25
+ "Florence2ModelLoader": {
26
+ "title": "Florence2 模型加载器",
27
+ "inputs": {
28
+ "lora": "LoRA"
29
+ },
30
+ "widgets": {
31
+ "model": "模型",
32
+ "precision": "精度",
33
+ "attention": "注意力"
34
+ },
35
+ "outputs": {
36
+ "florence2_model": "Florence2"
37
+ }
38
+ },
39
+ "Florence2Run": {
40
+ "title": "Florence2 执行",
41
+ "inputs": {
42
+ "image": "图像",
43
+ "florence2_model": "Florence2"
44
+ },
45
+ "widgets": {
46
+ "text_input": "文本",
47
+ "task": "任务",
48
+ "fill_mask": "填充遮罩",
49
+ "keep_model_loaded": "保持模型加载",
50
+ "max_new_tokens": "最大输出Token",
51
+ "num_beams": "num_beams",
52
+ "do_sample": "采样",
53
+ "output_mask_select": "选中输出遮罩",
54
+ "seed": "随机种",
55
+ "control_before_generate": "运行前操作"
56
+ },
57
+ "outputs": {
58
+ "image": "图像",
59
+ "mask": "遮罩",
60
+ "caption": "caption",
61
+ "data": "json数据"
62
+ }
63
+ }
64
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Flowty-CRM.json ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "CRMPreprocessForPoser": {
3
+ "title": "CRM Poser 预处理",
4
+ "inputs": {
5
+ "reference_image": "图像",
6
+ "reference_mask": "遮罩"
7
+ },
8
+ "widgets": {
9
+ "foreground_ratio": "前景比率"
10
+ },
11
+ "outputs": {
12
+ "processed": "处理图像"
13
+ }
14
+ },
15
+ "CRMPoserConfig": {
16
+ "title": "CRM Poser 配置",
17
+ "inputs": {
18
+ "processed_image": "处理图像"
19
+ },
20
+ "widgets": {
21
+ "seed": "随机种",
22
+ "control_before_generate": "运行前操作",
23
+ "cfg": "CFG",
24
+ "steps": "步数"
25
+ },
26
+ "outputs": {
27
+ "CRM_POSE_CONFIG": "Poser配置"
28
+ }
29
+ },
30
+ "CRMPoseSampler": {
31
+ "title": "CRM Poser 采样器",
32
+ "inputs": {
33
+ "config": "Poser配置"
34
+ },
35
+ "widgets": {
36
+ "pixel_model": "Pixel模型"
37
+ },
38
+ "outputs": {
39
+ "IMAGE": "Pose图像"
40
+ }
41
+ },
42
+ "CCMSampler": {
43
+ "title": "CCM 采样器",
44
+ "inputs": {
45
+ "config": "Poser配置",
46
+ "poses": "Pose图像"
47
+ },
48
+ "widgets": {
49
+ "ccm_model": "CCM模型"
50
+ },
51
+ "outputs": {
52
+ "IMAGE": "坐标图像"
53
+ }
54
+ },
55
+ "CRMModelLoader": {
56
+ "title": "CRM模型加载器",
57
+ "widgets": {
58
+ "crm_model": "CRM模型"
59
+ },
60
+ "outputs": {
61
+ "CRM_MODEL": "CRM模型"
62
+ }
63
+ },
64
+ "CRMModeler": {
65
+ "title": "CRM模型生成",
66
+ "inputs": {
67
+ "crm_model": "CRM模型",
68
+ "poses": "Pose图像",
69
+ "coordinates": "坐标图像"
70
+ },
71
+ "outputs": {
72
+ "MESH": "网格"
73
+ }
74
+ },
75
+ "CRMModelerCuda": {
76
+ "title": "CRM模型生成(仅CUDA)",
77
+ "inputs": {
78
+ "crm_model": "CRM模型",
79
+ "poses": "Pose图像",
80
+ "coordinates": "坐标图像"
81
+ },
82
+ "outputs": {
83
+ "MESH": "网格"
84
+ }
85
+ },
86
+ "CRMViewer": {
87
+ "title": "CRM网格预览",
88
+ "inputs": {
89
+ "mesh": "网格"
90
+ }
91
+ }
92
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Flowty-TripoSR.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "TripoSRModelLoader": {
3
+ "title": "TripoSR模型加载器",
4
+ "widgets": {
5
+ "model": "模型",
6
+ "chunk_size": "块大小"
7
+ },
8
+ "outputs": {
9
+ "TRIPOSR_MODEL": "TripoSR模型"
10
+ }
11
+ },
12
+ "TripoSRSampler": {
13
+ "title": "TripoSR采样器",
14
+ "inputs": {
15
+ "model": "模型",
16
+ "reference_image": "参考图像",
17
+ "reference_mask": "参考遮罩"
18
+ },
19
+ "widgets": {
20
+ "geometry_resolution": "几何分辨率",
21
+ "threshold": "行进曲线阈值"
22
+ },
23
+ "outputs": {
24
+ "MESH": "网格"
25
+ }
26
+ },
27
+ "TripoSRViewer": {
28
+ "title": "TripoSR预览",
29
+ "inputs": {
30
+ "mesh": "网格"
31
+ }
32
+ }
33
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Frame-Interpolation.json ADDED
@@ -0,0 +1,228 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "VFI FloatToInt": {
3
+ "title": "浮点到整数",
4
+ "widgets": {
5
+ "float": "浮点"
6
+ },
7
+ "outputs": {
8
+ "INT": "整数"
9
+ }
10
+ },
11
+ "GMFSS Fortuna VFI": {
12
+ "title": "GMFSS Fortuna VFI",
13
+ "inputs": {
14
+ "frames": "图像",
15
+ "optional_interpolation_states": "插值规则(可选)"
16
+ },
17
+ "widgets": {
18
+ "ckpt_name": "ckpt名称",
19
+ "clear_cache_after_n_frames": "N帧后清除缓存",
20
+ "multiplier": "乘数"
21
+ },
22
+ "outputs": {
23
+ "IMAGE": "图像"
24
+ }
25
+ },
26
+ "IFRNet VFI": {
27
+ "title": "IFRNet VFI",
28
+ "inputs": {
29
+ "frames": "图像",
30
+ "optional_interpolation_states": "插值规则(可选)"
31
+ },
32
+ "widgets": {
33
+ "ckpt_name": "ckpt名称",
34
+ "clear_cache_after_n_frames": "N帧后清除缓存",
35
+ "multiplier": "乘数",
36
+ "scale_factor": "缩放系数"
37
+ },
38
+ "outputs": {
39
+ "IMAGE": "图像"
40
+ }
41
+ },
42
+ "IFUnet VFI": {
43
+ "title": "IFUnet VFI",
44
+ "inputs": {
45
+ "frames": "图像",
46
+ "optional_interpolation_states": "插值规则(可选)"
47
+ },
48
+ "widgets": {
49
+ "ckpt_name": "ckpt名称",
50
+ "clear_cache_after_n_frames": "N帧后清除缓存",
51
+ "multiplier": "乘数",
52
+ "scale_factor": "缩放系数",
53
+ "ensemble": "ensemble"
54
+ },
55
+ "outputs": {
56
+ "IMAGE": "图像"
57
+ }
58
+ },
59
+ "M2M VFI": {
60
+ "title": "M2M VFI",
61
+ "inputs": {
62
+ "frames": "图像",
63
+ "optional_interpolation_states": "插值规则(可选)"
64
+ },
65
+ "widgets": {
66
+ "ckpt_name": "ckpt名称",
67
+ "clear_cache_after_n_frames": "N帧后清除缓存",
68
+ "multiplier": "乘数"
69
+ },
70
+ "outputs": {
71
+ "IMAGE": "图像"
72
+ }
73
+ },
74
+ "RIFE VFI": {
75
+ "title": "RIFE VFI",
76
+ "inputs": {
77
+ "frames": "图像",
78
+ "optional_interpolation_states": "插值规则(可选)"
79
+ },
80
+ "widgets": {
81
+ "ckpt_name": "ckpt名称",
82
+ "clear_cache_after_n_frames": "N帧后清除缓存",
83
+ "multiplier": "乘数",
84
+ "fast_mode": "快速模式",
85
+ "scale_factor": "缩放系数",
86
+ "ensemble": "ensemble"
87
+ },
88
+ "outputs": {
89
+ "IMAGE": "图像"
90
+ }
91
+ },
92
+ "Sepconv VFI": {
93
+ "title": "Sepconv VFI",
94
+ "inputs": {
95
+ "frames": "图像",
96
+ "optional_interpolation_states": "插值规则(可选)"
97
+ },
98
+ "widgets": {
99
+ "ckpt_name": "ckpt名称",
100
+ "clear_cache_after_n_frames": "N帧后清除缓存",
101
+ "multiplier": "乘数"
102
+ },
103
+ "outputs": {
104
+ "IMAGE": "图像"
105
+ }
106
+ },
107
+ "AMT VFI": {
108
+ "title": "AMT VFI",
109
+ "inputs": {
110
+ "frames": "图像",
111
+ "optional_interpolation_states": "插值规则(可选)"
112
+ },
113
+ "widgets": {
114
+ "ckpt_name": "ckpt名称",
115
+ "clear_cache_after_n_frames": "N帧后清除缓存",
116
+ "multiplier": "乘数"
117
+ },
118
+ "outputs": {
119
+ "IMAGE": "图像"
120
+ }
121
+ },
122
+ "FILM VFI": {
123
+ "title": "FILM VFI",
124
+ "inputs": {
125
+ "frames": "图像",
126
+ "optional_interpolation_states": "插值规则(可选)"
127
+ },
128
+ "widgets": {
129
+ "ckpt_name": "ckpt名称",
130
+ "clear_cache_after_n_frames": "N帧后清除缓存",
131
+ "multiplier": "乘数"
132
+ },
133
+ "outputs": {
134
+ "IMAGE": "图像"
135
+ }
136
+ },
137
+ "STMFNet VFI": {
138
+ "title": "STMFNet VFI",
139
+ "inputs": {
140
+ "frames": "图像",
141
+ "optional_interpolation_states": "插值规则(可选)"
142
+ },
143
+ "widgets": {
144
+ "ckpt_name": "ckpt名称",
145
+ "clear_cache_after_n_frames": "N帧后清除缓存",
146
+ "multiplier": "乘数",
147
+ "duplicate_first_last_frames": "复制端点帧"
148
+ },
149
+ "outputs": {
150
+ "IMAGE": "图像"
151
+ }
152
+ },
153
+ "FLAVR VFI": {
154
+ "title": "FLAVR VFI",
155
+ "inputs": {
156
+ "frames": "图像",
157
+ "optional_interpolation_states": "插值规则(可选)"
158
+ },
159
+ "widgets": {
160
+ "ckpt_name": "ckpt名称",
161
+ "clear_cache_after_n_frames": "N帧后清除缓存",
162
+ "multiplier": "乘数",
163
+ "duplicate_first_last_frames": "复制端点帧"
164
+ },
165
+ "outputs": {
166
+ "IMAGE": "图像"
167
+ }
168
+ },
169
+ "CAIN VFI": {
170
+ "title": "CAIN VFI",
171
+ "inputs": {
172
+ "frames": "图像",
173
+ "optional_interpolation_states": "插值规则(可选)"
174
+ },
175
+ "widgets": {
176
+ "ckpt_name": "ckpt名称",
177
+ "clear_cache_after_n_frames": "N帧后清除缓存",
178
+ "multiplier": "乘数"
179
+ },
180
+ "outputs": {
181
+ "IMAGE": "图像"
182
+ }
183
+ },
184
+
185
+
186
+ "Make Interpolation State List": {
187
+ "title": "制作插值规则",
188
+ "widgets": {
189
+ "frame_indices": "帧索引",
190
+ "is_skip_list": "是跳过列表"
191
+ },
192
+ "outputs": {
193
+ "INTERPOLATION_STATES": "插值规则"
194
+ }
195
+ },
196
+ "KSampler Gradually Adding More Denoise (efficient)": {
197
+ "title": "K采样器 逐渐添加噪波 (效率)",
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203
+ "optional_vae": "VAE(可选)"
204
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205
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+ "seed": "随机种",
207
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208
+ "fixed": "固定",
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+ "increment": "增加",
210
+ "decrement": "减少",
211
+ "randomize": "随机",
212
+ "steps": "步数",
213
+ "cfg": "CFG",
214
+ "sampler_name": "采样器",
215
+ "scheduler": "调度器",
216
+ "start_denoise": "开始降噪",
217
+ "denoise_increment": "降噪增量",
218
+ "denoise_increment_steps": "降噪增量开始步数"
219
+ },
220
+ "outputs": {
221
+ "MODEL": "模型",
222
+ "CONDITIONING+": "正面条件",
223
+ "CONDITIONING-": "负面条件",
224
+ "LATENT": "Latent",
225
+ "VAE": "VAE"
226
+ }
227
+ }
228
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-IC-Light-Wrapper.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "diffusers_model_loader": {
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+ "title": "读取扩散模型",
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+ "clip": "CLIP",
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+ "outputs": {
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+ "diffusers_model": "扩散模型"
11
+ }
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+ },
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+ "LoadICLightUnetDiffusers": {
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+ "title": "加载ICLightUnet",
15
+ "inputs": {
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+ "diffusersmodel": "扩散模型"
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+ },
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+ "widgets": {
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+ "model_path": "模型路径"
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+ },
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+ "outputs": {
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+ "DIFFUSERSMODEL": "扩散模型"
23
+ }
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+ },
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+ "iclight_diffusers_sampler": {
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+ "title": "ICLight采样器",
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+ "inputs": {
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+ "diffusers_model": "扩散模型",
29
+ "latent": "Latent",
30
+ "bg_latent": "背景Latent"
31
+ },
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+ "widgets": {
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+ "width": "宽度",
34
+ "height": "高度",
35
+ "steps": "步数",
36
+ "guidance_scale": "引导缩放",
37
+ "denoise_strength": "降噪",
38
+ "seed": "随机种",
39
+ "control_before_generate": "运行前操作",
40
+ "scheduler": "调度器",
41
+ "positive": "正面提示词",
42
+ "negative": "负面提示词",
43
+ "hidiffusion": "HiDiffusion",
44
+ "fixed_seed": "固定随机种"
45
+ },
46
+ "outputs": {
47
+ "samples": "Latent"
48
+ }
49
+ }
50
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-IC-Light.json ADDED
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+ {
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+ "LoadAndApplyICLightUnet": {
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+ "title": "加载ICLight模型",
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+ "inputs": {
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+ },
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+ "widgets": {
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+ "description": "\n \n有点难受但有效的读取IC-Light模型的方法。\nhttps://huggingface.co/lllyasviel/ic-light/tree/main \n \n和ICLight条件节点一起使用。"
14
+ },
15
+ "ICLightConditioning": {
16
+ "title": "应用ICLight条件",
17
+ "inputs": {
18
+ "positive": "正面条件",
19
+ "negative": "负面条件",
20
+ "vae": "VAE",
21
+ "foreground": "前景Latent",
22
+ "opt_background": "背景Latent(可选)"
23
+ },
24
+ "widgets": {
25
+ "multiplier": "乘数"
26
+ },
27
+ "outputs": {
28
+ "positive": "正面条件",
29
+ "negative": "负面条件",
30
+ "empty_latent": "空Latent"
31
+ },
32
+ "description": "\n \n用于IC-Light模型的条件节点。如果要使用“背景Latent”,需要切换IC-Light模型到“fbc”版本。"
33
+ },
34
+ "LightSource": {
35
+ "title": "简易光源",
36
+ "widgets": {
37
+ "light_position": "光源位置",
38
+ "multiplier": "明度",
39
+ "start_color": "起始色",
40
+ "end_color": "结束色",
41
+ "width": "宽度",
42
+ "height": "高度"
43
+ },
44
+ "outputs": {
45
+ "IMAGE": "图像"
46
+ },
47
+ "description": "\n生成一个可以用于简易光源的渐变灰度图像。可以用RGB或HEX指定颜色。"
48
+ },
49
+ "CalculateNormalsFromImages": {
50
+ "title": "计算法向",
51
+ "inputs": {
52
+ "images": "图像",
53
+ "mask": "遮罩"
54
+ },
55
+ "widgets": {
56
+ "sigma": "sigma",
57
+ "center_input_range": "center_input_range"
58
+ },
59
+ "outputs": {
60
+ "normal": "法向图像"
61
+ },
62
+ "description": "\n从不同角度的图像计算法向。\n需要包含4个图像的图像批次:左、右、下、上"
63
+ },
64
+ "LoadHDRImage": {
65
+ "title": "加载HDR图像",
66
+ "widgets": {
67
+ "image": "图像",
68
+ "exposure": "曝光"
69
+ },
70
+ "outputs": {
71
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72
+ "MASK": "遮罩"
73
+ },
74
+ "description": "\n从input文件夹加载.hdr图像。\n输出LDR图像批次。"
75
+ },
76
+ "BackgroundScaler": {
77
+ "title": "背景灰度",
78
+ "inputs": {
79
+ "image": "图像",
80
+ "mask": "遮罩"
81
+ },
82
+ "widgets": {
83
+ "scale": "缩放",
84
+ "invert": "反转"
85
+ },
86
+ "outputs": {
87
+ "IMAGE": "图像"
88
+ },
89
+ "description": "\n将遮罩区域调整为灰度图像"
90
+ },
91
+ "DetailTransfer": {
92
+ "title": "细节迁移",
93
+ "inputs": {
94
+ "target": "目标图像",
95
+ "source": "参考图像",
96
+ "mask": "遮罩"
97
+ },
98
+ "widgets": {
99
+ "mode": "模式",
100
+ "blur_sigma": "模糊Sigma",
101
+ "blend_factor": "混合系数"
102
+ },
103
+ "outputs": {
104
+ "IMAGE": "图像"
105
+ }
106
+ }
107
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-IF_AI_tools.json ADDED
@@ -0,0 +1,145 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "IF_PromptMkr": {
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+ "title": "提示词到提示词💬",
4
+ "widgets": {
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+ "input_prompt": "提示词",
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+ "base_ip": "IP",
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+ "port": "端口",
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+ "engine": "引擎",
9
+ "selected_model": "模型",
10
+ "profile": "配置文件",
11
+ "embellish_prompt": "润色文本",
12
+ "style_prompt": "风格提示词",
13
+ "neg_prompt": "负面提示词",
14
+ "temperature": "温度",
15
+ "max_tokens": "最大Token",
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+ "seed": "随机种",
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+ "control_before_generate": "运行前操作",
18
+ "random": "随机",
19
+ "keep_alive": "保持模型加载"
20
+ },
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+ "outputs": {
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+ "Question": "问题",
23
+ "Response": "回复",
24
+ "Negative": "负面文本"
25
+ }
26
+ },
27
+ "IF_ImagePrompt": {
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+ "title": "图像到提示词🖼️",
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+ "inputs": {
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+ "image": "图像"
31
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32
+ "widgets": {
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+ "input_prompt": "提示词",
34
+ "base_ip": "IP",
35
+ "port": "端口",
36
+ "engine": "引擎",
37
+ "selected_model": "模型",
38
+ "profile": "配置文件",
39
+ "embellish_prompt": "润色文本",
40
+ "style_prompt": "风格提示词",
41
+ "neg_prompt": "负面提示词",
42
+ "temperature": "温度",
43
+ "max_tokens": "最大Token",
44
+ "seed": "随机种",
45
+ "control_before_generate": "运行前操作",
46
+ "random": "随机",
47
+ "keep_alive": "保持模型加载"
48
+ },
49
+ "outputs": {
50
+ "Question": "问题文本",
51
+ "Response": "回复文本",
52
+ "Negative": "负面文本"
53
+ }
54
+ },
55
+ "IF_ChatPrompt": {
56
+ "title": "Chat提示词👨‍💻",
57
+ "inputs": {
58
+ "image": "图像",
59
+ "tool_input": "工具",
60
+ "prime_directives": "prime_directives"
61
+ },
62
+ "widgets": {
63
+ "input_prompt": "提示词",
64
+ "base_ip": "IP",
65
+ "port": "端口",
66
+ "engine": "引擎",
67
+ "selected_model": "模型",
68
+ "model": "模型",
69
+ "assitant": "助手",
70
+ "profile": "配置文件",
71
+ "embellish_prompt": "润色文本",
72
+ "style_prompt": "风格提示词",
73
+ "neg_prompt": "负面提示词",
74
+ "clear_history": "清空历史",
75
+ "temperature": "温度",
76
+ "top_k": "候选集长度",
77
+ "top_p": "动态候选集长度",
78
+ "repeat_penalty": "重复惩罚",
79
+ "stop_string": "stop_string",
80
+ "max_tokens": "最大Token",
81
+ "seed": "随机种",
82
+ "control_before_generate": "运行前操作",
83
+ "random": "随机",
84
+ "keep_alive": "保持模型加载",
85
+ "text_cleanup": "精简文本",
86
+ "mode": "模式",
87
+ "external_api_key": "API Key",
88
+ "tool": "工具",
89
+ "stop": "stop",
90
+ "history_steps": "历史步数"
91
+ },
92
+ "outputs": {
93
+ "Question": "问题文本",
94
+ "Response": "回复文本",
95
+ "Negative": "负面文本",
96
+ "Tool_Output": "工具"
97
+ }
98
+ },
99
+ "IF_SaveText": {
100
+ "title": "保存文本📝",
101
+ "inputs": {
102
+ "question_input": "问题文本",
103
+ "response_input": "回复文本",
104
+ "negative_input": "负面文本"
105
+ },
106
+ "widgets": {
107
+ "save_file": "保存文件",
108
+ "file_format": "文件格式",
109
+ "save_mode": "保存模式"
110
+ },
111
+ "outputs": {
112
+ "Question": "问题文本",
113
+ "Response": "回复文本",
114
+ "Negative": "负面文本"
115
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116
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117
+ "IF_DisplayText": {
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+ "title": "显示文本📟",
119
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121
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122
+ "outputs": {
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+ "STRING": "字符串"
124
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125
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126
+ "IF_DisplayOmni": {
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+ "title": "显示Omni🔍",
128
+ "inputs": {
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+ "omni_input": "Omni"
130
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131
+ "outputs": {
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+ "canvas_conditioning": "画面条件",
133
+ "text_output": "文本输出"
134
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135
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136
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+ "outputs": {
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143
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144
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145
+ }
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+ {
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+ "ImpactKSamplerBasicPipe": {
3
+ "title": "K采样器(节点束)",
4
+ "inputs": {
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+ "basic_pipe": "基础节点束",
6
+ "latent_image": "Latent"
7
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8
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+ "control_after_generate": "运行后操作",
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+ "fixed": "固定",
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+ "decrement": "减少",
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+ "randomize": "随机",
15
+ "steps": "步数",
16
+ "cfg": "CFG",
17
+ "sampler_name": "采样器",
18
+ "scheduler": "调度器",
19
+ "denoise": "降噪"
20
+ },
21
+ "outputs": {
22
+ "BASIC_PIPE": "基础节点束",
23
+ "LATENT": "Latent",
24
+ "VAE": "VAE"
25
+ }
26
+ },
27
+ "ImpactKSamplerAdvancedBasicPipe": {
28
+ "title": "K采样器(高级节点束)",
29
+ "inputs": {
30
+ "basic_pipe": "基础节点束",
31
+ "latent_image": "Latent"
32
+ },
33
+ "widgets": {
34
+ "add_noise": "添加噪波",
35
+ "noise_seed": "随机种",
36
+ "control_after_generate": "运行后操作",
37
+ "fixed": "固定",
38
+ "increment": "增加",
39
+ "decrement": "减少",
40
+ "randomize": "随机",
41
+ "steps": "步数",
42
+ "cfg": "CFG",
43
+ "sampler_name": "采样器",
44
+ "scheduler": "调度器",
45
+ "denoise": "降噪",
46
+ "start_at_step": "开始降噪步数",
47
+ "end_at_step": "结束降噪步数",
48
+ "return_with_leftover_noise": "返回噪波"
49
+ },
50
+ "outputs": {
51
+ "BASIC_PIPE": "基础节点束",
52
+ "LATENT": "Latent",
53
+ "VAE": "VAE"
54
+ }
55
+ },
56
+
57
+
58
+
59
+ "CLIPSegDetectorProvider": {
60
+ "title": "CLIPSeg检测器",
61
+ "widgets": {
62
+ "text": "文本",
63
+ "blur": "模糊",
64
+ "threshold": "阈值",
65
+ "dilation_factor": "膨胀"
66
+ },
67
+ "outputs": {
68
+ "BBOX_DETECTOR": "BBox检测"
69
+ }
70
+ },
71
+ "SEGSOrderedFilterDetailerHookProvider": {
72
+ "title": "Seg次序过滤细化约束器",
73
+ "widgets": {
74
+ "target": "目标",
75
+ "order": "顺序",
76
+ "take_start": "开始序号",
77
+ "take_count": "数量"
78
+ },
79
+ "outputs": {
80
+ "DETAILER_HOOK": "细化约束"
81
+ }
82
+ },
83
+ "SEGSRangeFilterDetailerHookProvider": {
84
+ "title": "Seg范围过滤细化约束器",
85
+ "widgets": {
86
+ "target": "目标",
87
+ "mode": "模式",
88
+ "min_value": "最小值",
89
+ "max_value": "最大值"
90
+ },
91
+ "outputs": {
92
+ "DETAILER_HOOK": "细化约束"
93
+ }
94
+ },
95
+ "SEGSLabelFilterDetailerHookProvider": {
96
+ "title": "Seg标签过滤细化约束器",
97
+ "inputs": {
98
+ "segs": "Seg"
99
+ },
100
+ "widgets": {
101
+ "preset": "预设",
102
+ "labels": "标签"
103
+ },
104
+ "outputs": {
105
+ "DETAILER_HOOK": "细化约束"
106
+ }
107
+ },
108
+ "EmptySegs": {
109
+ "title": "空Seg",
110
+ "outputs": {
111
+ "SEGS": "Seg"
112
+ }
113
+ },
114
+ "SetDefaultImageForSEGS": {
115
+ "title": "设置Seg默认图像",
116
+ "inputs": {
117
+ "segs": "Seg",
118
+ "image": "图像"
119
+ },
120
+ "widgets": {
121
+ "override": "覆盖"
122
+ },
123
+ "outputs": {
124
+ "SEGS": "Seg"
125
+ }
126
+ },
127
+ "RemoveImageFromSEGS": {
128
+ "title": "Seg移除图像",
129
+ "inputs": {
130
+ "segs": "Seg"
131
+ },
132
+ "outputs": {
133
+ "SEGS": "Seg"
134
+ }
135
+ },
136
+ "ImpactControlNetApplySEGS": {
137
+ "title": "ControlNet应用Seg",
138
+ "inputs": {
139
+ "segs": "Seg",
140
+ "control_net": "ControlNet",
141
+ "segs_preprocessor": "Seg预处理",
142
+ "control_image": "图像"
143
+ },
144
+ "widgets": {
145
+ "strength": "强度"
146
+ },
147
+ "outputs": {
148
+ "SEGS": "Seg"
149
+ }
150
+ },
151
+ "ImpactControlNetApplyAdvancedSEGS": {
152
+ "title": "ControlNet应用(高级)Seg",
153
+ "inputs": {
154
+ "segs": "Seg",
155
+ "control_net": "ControlNet",
156
+ "segs_preprocessor": "Seg预处理",
157
+ "control_image": "图像"
158
+ },
159
+ "widgets": {
160
+ "strength": "强度",
161
+ "start_percent": "开始时间",
162
+ "end_percent": "结束时间"
163
+ },
164
+ "outputs": {
165
+ "SEGS": "Seg"
166
+ }
167
+ },
168
+ "ImpactControlNetClearSEGS": {
169
+ "title": "ControlNet移除Seg",
170
+ "inputs": {
171
+ "segs": "Seg"
172
+ },
173
+ "outputs": {
174
+ "SEGS": "Seg"
175
+ }
176
+ },
177
+ "ImpactDecomposeSEGS": {
178
+ "title": "Seg分解",
179
+ "inputs": {
180
+ "segs": "Seg"
181
+ },
182
+ "outputs": {
183
+ "SEGS_HEADER": "Seg_Header",
184
+ "SEG_ELT": "Seg_ELT"
185
+ }
186
+ },
187
+ "ImpactAssembleSEGS": {
188
+ "title": "Seg组合",
189
+ "inputs": {
190
+ "seg_header": "Seg_Header",
191
+ "seg_elt": "Seg_ELT"
192
+ },
193
+ "outputs": {
194
+ "Seg": "Seg"
195
+ }
196
+ },
197
+ "ImpactFrom_SEG_ELT": {
198
+ "title": "从Seg_ELT",
199
+ "inputs": {
200
+ "seg_elt": "Seg_ELT"
201
+ },
202
+ "outputs": {
203
+ "seg_elt": "Seg_ELT",
204
+ "cropped_image": "裁剪图像",
205
+ "cropped_mask": "裁剪遮罩",
206
+ "crop_region": "裁剪区域",
207
+ "bbox": "Seg_ELT_bbox",
208
+ "control_net_wrapper": "ControlNet置换",
209
+ "confidence": "置信度",
210
+ "label": "标签"
211
+ }
212
+ },
213
+ "ImpactEdit_SEG_ELT": {
214
+ "title": "编辑Seg_ELT",
215
+ "inputs": {
216
+ "seg_elt_opt": "Seg_ELT",
217
+ "cropped_image_opt": "裁剪图像",
218
+ "cropped_mask_opt": "裁剪遮罩",
219
+ "crop_region_opt": "裁剪区域",
220
+ "bbox_opt": "Seg_ELT_bbox",
221
+ "control_net_wrapper_opt": "ControlNet置换"
222
+ },
223
+ "widgets": {
224
+ "confidence_opt": "置信度",
225
+ "label_opt": "标签"
226
+ },
227
+ "outputs": {
228
+ "SEG_ELT": "Seg_ELT"
229
+ }
230
+ },
231
+ "ImpactDilate_Mask_SEG_ELT": {
232
+ "title": "SegELT膨胀",
233
+ "inputs": {
234
+ "seg_elt": "Seg_ELT"
235
+ },
236
+ "widgets": {
237
+ "dilation": "膨胀"
238
+ },
239
+ "outputs": {
240
+ "SEG_ELT": "Seg_ELT"
241
+ }
242
+ },
243
+ "ImpactDilateMask": {
244
+ "title": "遮罩膨胀",
245
+ "inputs": {
246
+ "mask": "遮罩"
247
+ },
248
+ "widgets": {
249
+ "dilation": "膨胀"
250
+ },
251
+ "outputs": {
252
+ "MASK": "遮罩"
253
+ }
254
+ },
255
+ "ImpactGaussianBlurMask": {
256
+ "title": "遮罩高斯模糊",
257
+ "inputs": {
258
+ "mask": "遮罩"
259
+ },
260
+ "widgets": {
261
+ "kernel_size": "大小",
262
+ "sigma": "Sigma"
263
+ },
264
+ "outputs": {
265
+ "MASK": "遮罩"
266
+ }
267
+ },
268
+ "ImpactDilateMaskInSEGS": {
269
+ "title": "Seg遮罩膨胀",
270
+ "inputs": {
271
+ "segs": "Seg"
272
+ },
273
+ "widgets": {
274
+ "dilation": "膨胀"
275
+ },
276
+ "outputs": {
277
+ "SEGS": "Seg"
278
+ }
279
+ },
280
+ "ImpactGaussianBlurMaskInSEGS": {
281
+ "title": "Seg遮罩高斯模糊",
282
+ "inputs": {
283
+ "segs": "Seg"
284
+ },
285
+ "widgets": {
286
+ "kernel_size": "大小",
287
+ "sigma": "Sigma"
288
+ },
289
+ "outputs": {
290
+ "SEGS": "Seg"
291
+ }
292
+ },
293
+ "ImpactScaleBy_BBOX_SEG_ELT": {
294
+ "title": "SegELT缩放",
295
+ "inputs": {
296
+ "seg": "Seg"
297
+ },
298
+ "widgets": {
299
+ "scale_by": "系数"
300
+ },
301
+ "outputs": {
302
+ "SEG_ELT": "Seg_ELT"
303
+ }
304
+ },
305
+ "ImpactSEGSToMaskBatch": {
306
+ "title": "Seg到遮罩组",
307
+ "inputs": {
308
+ "segs": "Seg"
309
+ },
310
+ "outputs": {
311
+ "MASKS": "遮罩"
312
+ }
313
+ },
314
+ "PreviewBridge": {
315
+ "title": "桥接预览图像",
316
+ "inputs": {
317
+ "images": "图像"
318
+ },
319
+ "widgets": {
320
+ "image": "图像"
321
+ },
322
+ "outputs": {
323
+ "IMAGE": "图像",
324
+ "MASK": "遮罩"
325
+ }
326
+ },
327
+ "PreviewBridgeLatent": {
328
+ "title": "桥接预览Latent",
329
+ "inputs": {
330
+ "latent": "Latent",
331
+ "vae_opt": "VAE"
332
+ },
333
+ "widgets": {
334
+ "image": "图像",
335
+ "preview_method": "预览方法"
336
+ },
337
+ "outputs": {
338
+ "LATENT": "Latent",
339
+ "MASK": "遮罩"
340
+ }
341
+ },
342
+ "ImageSender": {
343
+ "title": "图像发送",
344
+ "inputs": {
345
+ "images": "图像"
346
+ },
347
+ "widgets": {
348
+ "filename_prefix": "文件名前缀",
349
+ "link_id": "连接ID"
350
+ }
351
+ },
352
+ "ImageReceiver": {
353
+ "title": "图像接收",
354
+ "widgets": {
355
+ "image": "图像",
356
+ "link_id": "连接ID"
357
+ },
358
+ "outputs": {
359
+ "IMAGE": "图像",
360
+ "MASK": "遮罩"
361
+ }
362
+ },
363
+ "LatentSender": {
364
+ "title": "Latent发送",
365
+ "inputs": {
366
+ "samples": "Latent"
367
+ },
368
+ "widgets": {
369
+ "filename_prefix": "文件名前缀",
370
+ "link_id": "连接ID"
371
+ }
372
+ },
373
+ "LatentReceiver": {
374
+ "title": "Latent接收",
375
+ "widgets": {
376
+ "latent": "Latent",
377
+ "link_id": "连接ID"
378
+ },
379
+ "outputs": {
380
+ "LATENT": "Latent"
381
+ }
382
+ },
383
+ "ImageMaskSwitch": {
384
+ "title": "图像遮罩切换",
385
+ "inputs": {
386
+ "images1": "图像1",
387
+ "mask1": "遮罩1",
388
+ "images2": "图像2",
389
+ "mask2": "遮罩2",
390
+ "images3": "图像3",
391
+ "mask3": "遮罩3",
392
+ "images4": "图像4",
393
+ "mask4": "遮罩4",
394
+ "select": "选择",
395
+ "mask1_opt": "遮罩1",
396
+ "images2_opt": "图像2",
397
+ "mask2_opt": "遮罩2",
398
+ "images3_opt": "图像3",
399
+ "mask3_opt": "遮罩3",
400
+ "images4_opt": "图像4",
401
+ "mask4_opt": "遮罩4"
402
+ },
403
+ "outputs": {
404
+ "IMAGE" :"图像",
405
+ "MASK": "遮罩"
406
+ }
407
+ },
408
+ "LatentSwitch": {
409
+ "title": "Latent切换",
410
+ "inputs": {
411
+ "input1": "输入1",
412
+ "latent1": "Latent1",
413
+ "latent2_opt": "Latent2",
414
+ "latent3_opt": "Latent3",
415
+ "latent4_opt": "Latent4"
416
+ },
417
+ "widgets": {
418
+ "select": "选择",
419
+ "sel_mode": "选择模式"
420
+ },
421
+ "outputs": {
422
+ "LATENT": "Latent",
423
+ "selected_value": "值",
424
+ "selected_label": "标签"
425
+ }
426
+ },
427
+ "SEGSSwitch": {
428
+ "title": "Seg切换",
429
+ "inputs": {
430
+ "input1": "输入1",
431
+ "Seg": "Seg1",
432
+ "segs2_opt": "Seg2",
433
+ "segs3_opt": "Seg3",
434
+ "segs4_opt": "Seg4"
435
+ },
436
+ "widgets": {
437
+ "select": "选择",
438
+ "sel_mode": "选择模式"
439
+ },
440
+ "outputs": {
441
+ "SEGS": "Seg",
442
+ "selected_value": "值",
443
+ "selected_label": "标签"
444
+ }
445
+ },
446
+ "ImpactSwitch": {
447
+ "title": "切换",
448
+ "inputs": {
449
+ "input1": "输入1",
450
+ "input2": "输入2",
451
+ "input3": "输入3",
452
+ "input4": "输入4"
453
+ },
454
+ "widgets": {
455
+ "select": "选择",
456
+ "sel_mode": "选择模式",
457
+ "select_on_execution": "运行",
458
+ "select_on_prompt": "提示词"
459
+ },
460
+ "outputs": {
461
+ "*": "输出",
462
+ "selected_value": "值",
463
+ "selected_label": "标签"
464
+ }
465
+ },
466
+ "ImpactInversedSwitch": {
467
+ "title": "反转切换",
468
+ "inputs": {
469
+ "input": "输入"
470
+ },
471
+ "widgets": {
472
+ "select": "选择"
473
+ },
474
+ "outputs": {
475
+ "*": "输出"
476
+ }
477
+ },
478
+ "ImpactInversedSwtich": {
479
+ "title": "反转切换",
480
+ "inputs": {
481
+ "input": "输入"
482
+ },
483
+ "widgets": {
484
+ "select": "选择"
485
+ },
486
+ "outputs": {
487
+ "*": "输出"
488
+ }
489
+ },
490
+ "SEGSToImageList": {
491
+ "title": "Seg到图像列表",
492
+ "inputs": {
493
+ "segs": "Seg",
494
+ "fallback_image_opt": "备用图像"
495
+ },
496
+ "outputs": {
497
+ "IMAGE": "图像"
498
+ }
499
+ },
500
+ "ImpactSEGSToMaskList": {
501
+ "title": "Seg到遮罩列表",
502
+ "inputs": {
503
+ "segs": "Seg"
504
+ },
505
+ "outputs": {
506
+ "MASK": "遮罩"
507
+ }
508
+ },
509
+ "ImpactSEGSConcat": {
510
+ "title": "Seg联结",
511
+ "inputs": {
512
+ "segs1": "Seg1",
513
+ "segs2": "Seg2"
514
+ },
515
+ "outputs": {
516
+ "SEGS": "Seg"
517
+ }
518
+ },
519
+ "ImpactSEGSPicker": {
520
+ "title": "Seg选择",
521
+ "inputs": {
522
+ "segs": "Seg",
523
+ "fallback_image_opt": "备用图像"
524
+ },
525
+ "widgets": {
526
+ "picks": "选择",
527
+ "pick": "选择"
528
+ },
529
+ "outputs": {
530
+ "SEGS": "Seg"
531
+ }
532
+ },
533
+ "ReencodeLatent": {
534
+ "title": "重编码Latent",
535
+ "inputs": {
536
+ "samples": "Latent",
537
+ "input_vae": "解码VAE",
538
+ "output_vae": "编码VAE"
539
+ },
540
+ "widgets": {
541
+ "tile_mode": "分块模式",
542
+ "Decode(input) only": "仅解码",
543
+ "Encode(output) only": "仅编码",
544
+ "tile_size": "分块尺寸"
545
+ },
546
+ "outputs": {
547
+ "LATENT": "Latent"
548
+ }
549
+ },
550
+ "ReencodeLatentPipe": {
551
+ "title": "重编码Latent(节点束)",
552
+ "inputs": {
553
+ "samples": "Latent",
554
+ "input_basic_pipe": "解码节点束",
555
+ "output_basic_pipe": "编码节点束"
556
+ },
557
+ "widgets": {
558
+ "tile_mode": "分块模式",
559
+ "Decode(input) only": "仅解码",
560
+ "Encode(output) only": "仅编码"
561
+ },
562
+ "outputs": {
563
+ "LATENT": "Latent"
564
+ }
565
+ },
566
+ "ImpactImageBatchToImageList": {
567
+ "title": "图像批次到图像列表",
568
+ "inputs": {
569
+ "image": "图像"
570
+ },
571
+ "outputs": {
572
+ "IMAGE": "图像"
573
+ }
574
+ },
575
+ "ImpactMakeImageList": {
576
+ "title": "制作图像列表",
577
+ "inputs": {
578
+ "image1": "图像"
579
+ },
580
+ "outputs": {
581
+ "IMAGE": "图像"
582
+ }
583
+ },
584
+ "ImpactMakeImageBatch": {
585
+ "title": "制作图像批次",
586
+ "inputs": {
587
+ "image1": "图像"
588
+ },
589
+ "outputs": {
590
+ "IMAGE": "图像"
591
+ }
592
+ },
593
+ "ImpactCombineConditionings": {
594
+ "title": "合并条件",
595
+ "inputs": {
596
+ "conditioning1": "条件1",
597
+ "conditioning2": "条件2",
598
+ "conditioning3": "条件3",
599
+ "conditioning4": "条件4",
600
+ "conditioning5": "条件5",
601
+ "conditioning6": "条件6",
602
+ "conditioning7": "条件7",
603
+ "conditioning8": "条件8",
604
+ "conditioning9": "条件9",
605
+ "conditioning10": "条件10"
606
+ },
607
+ "outputs": {
608
+ "CONDITIONING": "条件"
609
+ }
610
+ },
611
+ "ImpactSEGSLabelFilter": {
612
+ "title": "Seg标签过滤",
613
+ "inputs": {
614
+ "segs": "Seg"
615
+ },
616
+ "widgets": {
617
+ "preset": "预设",
618
+ "labels": "标签"
619
+ },
620
+ "outputs": {
621
+ "SEGS": "Seg",
622
+ "filtered_SEGS": "屏蔽Seg",
623
+ "remained_SEGS": "剩余Seg"
624
+ }
625
+ },
626
+ "ImpactSEGSRangeFilter": {
627
+ "title": "Seg范围过滤",
628
+ "inputs": {
629
+ "segs": "Seg"
630
+ },
631
+ "widgets": {
632
+ "target": "目标",
633
+ "min_value": "最小值",
634
+ "max_value": "最大值",
635
+ "mode": "模式"
636
+ },
637
+ "outputs": {
638
+ "SEGS": "Seg",
639
+ "filtered_SEGS": "屏蔽Seg",
640
+ "remained_SEGS": "剩余Seg"
641
+ }
642
+ },
643
+ "ImpactSEGSOrderedFilter": {
644
+ "title": "Seg次序过滤",
645
+ "inputs": {
646
+ "segs": "Seg"
647
+ },
648
+ "widgets": {
649
+ "target": "目标",
650
+ "order": "顺序",
651
+ "take_start": "开始序号",
652
+ "take_count": "数量"
653
+ },
654
+ "outputs": {
655
+ "SEGS": "Seg",
656
+ "filtered_SEGS": "屏蔽Seg",
657
+ "remained_SEGS": "剩余Seg"
658
+ }
659
+ },
660
+ "ImpactStringSelector": {
661
+ "title": "字符串选择",
662
+ "widgets": {
663
+ "strings": "字符串",
664
+ "multiline": "多行文本",
665
+ "select": "选择"
666
+ },
667
+ "outputs": {
668
+ "STRING": "字符串"
669
+ }
670
+ },
671
+
672
+
673
+
674
+
675
+ "BitwiseAndMaskForEach": {
676
+ "title": "Seg交集",
677
+ "inputs": {
678
+ "base_segs": "基础seg",
679
+ "mask_segs": "遮罩seg"
680
+ },
681
+ "outputs": {
682
+ "SEGS": "Seg"
683
+ }
684
+ },
685
+ "SubtractMaskForEach": {
686
+ "title": "Seg相减",
687
+ "inputs": {
688
+ "base_segs": "基础seg",
689
+ "mask_segs": "遮罩seg"
690
+ },
691
+ "outputs": {
692
+ "SEGS": "Seg"
693
+ }
694
+ },
695
+ "BitwiseAndMask": {
696
+ "title": "遮罩交集",
697
+ "inputs": {
698
+ "mask1": "遮罩1",
699
+ "mask2": "遮罩2"
700
+ },
701
+ "outputs": {
702
+ "MASK": "遮罩"
703
+ }
704
+ },
705
+ "SubtractMask": {
706
+ "title": "遮罩相减",
707
+ "inputs": {
708
+ "mask1": "遮罩1",
709
+ "mask2": "遮罩2"
710
+ },
711
+ "outputs": {
712
+ "MASK": "遮罩"
713
+ }
714
+ },
715
+ "AddMask": {
716
+ "title": "遮罩相加",
717
+ "inputs": {
718
+ "mask1": "遮罩1",
719
+ "mask2": "遮罩2"
720
+ },
721
+ "outputs": {
722
+ "MASK": "遮罩"
723
+ }
724
+ },
725
+ "ImpactSegsAndMask": {
726
+ "title": "Seg遮罩",
727
+ "inputs": {
728
+ "segs": "Seg",
729
+ "mask": "遮罩"
730
+ },
731
+ "outputs": {
732
+ "SEGS": "Seg"
733
+ }
734
+ },
735
+ "ImpactSegsAndMaskForEach": {
736
+ "title": "Seg遮罩(批量)",
737
+ "inputs": {
738
+ "segs": "Seg",
739
+ "masks": "遮罩"
740
+ },
741
+ "outputs": {
742
+ "SEGS": "Seg"
743
+ }
744
+ },
745
+ "Segs & Mask": {
746
+ "title": "Seg遮罩",
747
+ "inputs": {
748
+ "segs": "Seg",
749
+ "mask": "遮罩"
750
+ },
751
+ "outputs": {
752
+ "SEGS": "Seg"
753
+ }
754
+ },
755
+ "Segs & Mask ForEach": {
756
+ "title": "Seg遮罩(批量)",
757
+ "inputs": {
758
+ "segs": "Seg",
759
+ "mask": "遮罩",
760
+ "masks": "遮罩组"
761
+ },
762
+ "outputs": {
763
+ "SEGS": "Seg"
764
+ }
765
+ },
766
+ "MediaPipeFaceMeshToSEGS": {
767
+ "title": "MediaPipe面部网格到Seg",
768
+ "inputs": {
769
+ "image": "图像"
770
+ },
771
+ "widgets": {
772
+ "crop_factor": "裁剪系数",
773
+ "bbox_fill": "填充BBox",
774
+ "crop_min_size": "裁剪最小尺寸",
775
+ "drop_size": "最小尺寸",
776
+ "dilation": "膨胀",
777
+ "face": "面部",
778
+ "mouth": "嘴部",
779
+ "left_eyebrow": "左眉毛",
780
+ "left_eye": "左眼",
781
+ "left_pupil": "左瞳孔",
782
+ "right_eyebrow": "右眉毛",
783
+ "right_eye": "右眼",
784
+ "right_pupil": "右瞳孔"
785
+ },
786
+ "outputs": {
787
+ "SEGS": "Seg"
788
+ }
789
+ },
790
+ "MaskToSEGS_for_AnimateDiff": {
791
+ "title": "遮罩到Seg(动态扩散)",
792
+ "inputs": {
793
+ "mask": "遮罩"
794
+ },
795
+ "widgets": {
796
+ "crop_factor": "裁剪系数",
797
+ "combined": "是否合并",
798
+ "False": "否",
799
+ "True": "是",
800
+ "bbox_fill": "填充BBox",
801
+ "disabled": "关闭",
802
+ "enabled": "开启",
803
+ "drop_size": "最小尺寸",
804
+ "contour_fill": "填充轮廓"
805
+ },
806
+ "outputs": {
807
+ "SEGS": "Seg"
808
+ }
809
+ },
810
+ "MaskToSEGS": {
811
+ "title": "遮罩到Seg",
812
+ "inputs": {
813
+ "mask": "遮罩"
814
+ },
815
+ "widgets": {
816
+ "crop_factor": "裁剪系数",
817
+ "combined": "是否合并",
818
+ "False": "否",
819
+ "True": "是",
820
+ "bbox_fill": "填充BBox",
821
+ "disabled": "关闭",
822
+ "enabled": "开启",
823
+ "drop_size": "最小尺寸"
824
+ },
825
+ "outputs": {
826
+ "SEGS": "Seg"
827
+ }
828
+ },
829
+ "ToBinaryMask": {
830
+ "title": "遮罩二值化",
831
+ "inputs": {
832
+ "mask": "遮罩"
833
+ },
834
+ "widgets": {
835
+ "threshold": "阈值"
836
+ },
837
+ "outputs": {
838
+ "MASK": "遮罩"
839
+ }
840
+ },
841
+ "MasksToMaskList": {
842
+ "title": "遮罩组到遮罩列表",
843
+ "inputs": {
844
+ "masks": "遮罩组"
845
+ },
846
+ "widgets": {
847
+ "threshold": "阈值"
848
+ },
849
+ "outputs": {
850
+ "MASK": "遮罩"
851
+ }
852
+ },
853
+ "MaskListToMaskBatch": {
854
+ "title": "遮罩列表到遮罩组",
855
+ "inputs": {
856
+ "mask": "遮罩"
857
+ },
858
+ "outputs": {
859
+ "MASKS": "遮罩组"
860
+ }
861
+ },
862
+ "ImageListToImageBatch": {
863
+ "title": "图像列表到图像批次",
864
+ "inputs": {
865
+ "images": "图像"
866
+ },
867
+ "outputs": {
868
+ "IMAGE": "图像"
869
+ }
870
+ },
871
+ "SegsToCombinedMask": {
872
+ "title": "Seg到遮罩",
873
+ "inputs": {
874
+ "segs": "Seg"
875
+ },
876
+ "outputs": {
877
+ "MASK": "遮罩"
878
+ }
879
+ },
880
+ "RemoveNoiseMask": {
881
+ "title": "移除噪波遮罩",
882
+ "inputs": {
883
+ "samples": "Latent"
884
+ },
885
+ "outputs": {
886
+ "LATENT": "Latent"
887
+ }
888
+ },
889
+
890
+
891
+
892
+ "DetailerForEach": {
893
+ "title": "局部细化",
894
+ "inputs": {
895
+ "image": "图像",
896
+ "segs": "Seg",
897
+ "model": "模型",
898
+ "clip": "CLIP",
899
+ "vae": "VAE",
900
+ "positive": "正面条件",
901
+ "negative": "负面条件",
902
+ "detailer_hook": "细化约束"
903
+ },
904
+ "widgets": {
905
+ "guide_size": "引导大小",
906
+ "guide_size_for": "引导目标",
907
+ "bbox": "BBox",
908
+ "crop_region": "裁剪区域",
909
+ "max_size": "最大尺寸",
910
+ "seed": "随机种",
911
+ "control_after_generate": "运行后操作",
912
+ "fixed": "固定",
913
+ "increment": "增加",
914
+ "decrement": "减少",
915
+ "randomize": "随机",
916
+ "steps": "步数",
917
+ "cfg": "CFG",
918
+ "sampler_name": "采样器",
919
+ "scheduler": "调度器",
920
+ "denoise": "降噪",
921
+ "feather": "羽化",
922
+ "noise_mask": "仅生成遮罩",
923
+ "force_inpaint": "强制重绘",
924
+ "wildcard": "通配符"
925
+ },
926
+ "outputs": {
927
+ "IMAGE": "图像"
928
+ }
929
+ },
930
+ "DetailerForEachPipe": {
931
+ "title": "局部细化(节点束)",
932
+ "inputs": {
933
+ "image": "图像",
934
+ "segs": "Seg",
935
+ "basic_pipe": "基础节点束",
936
+ "detailer_hook": "细化约束",
937
+ "refiner_basic_pipe": "优化基础节点束"
938
+ },
939
+ "widgets": {
940
+ "guide_size": "引导大小",
941
+ "guide_size_for": "引导目标",
942
+ "bbox": "BBox",
943
+ "crop_region": "裁剪区域",
944
+ "max_size": "最大尺寸",
945
+ "seed": "随机种",
946
+ "control_after_generate": "运行后操作",
947
+ "fixed": "固定",
948
+ "increment": "增加",
949
+ "decrement": "减少",
950
+ "randomize": "随机",
951
+ "steps": "步数",
952
+ "cfg": "CFG",
953
+ "sampler_name": "采样器",
954
+ "scheduler": "调度器",
955
+ "denoise": "降噪",
956
+ "feather": "羽化",
957
+ "noise_mask": "仅生成遮罩",
958
+ "force_inpaint": "强制重绘",
959
+ "wildcard": "通配���",
960
+ "refiner_ratio": "优化比率"
961
+ },
962
+ "outputs": {
963
+ "IMAGE": "图像",
964
+ "image": "图像",
965
+ "segs": "Seg",
966
+ "basic_pipe": "基础节点束",
967
+ "cnet_images": "ControlNet图像"
968
+ }
969
+ },
970
+ "DetailerForEachDebug": {
971
+ "title": "局部细化(高级)",
972
+ "inputs": {
973
+ "image": "图像",
974
+ "segs": "Seg",
975
+ "model": "模型",
976
+ "clip": "CLIP",
977
+ "vae": "VAE",
978
+ "positive": "正面条件",
979
+ "negative": "负面条件",
980
+ "detailer_hook": "细化约束"
981
+ },
982
+ "widgets": {
983
+ "guide_size": "引导大小",
984
+ "guide_size_for": "引导目标",
985
+ "bbox": "BBox",
986
+ "crop_region": "裁剪区域",
987
+ "max_size": "最大尺寸",
988
+ "seed": "随机种",
989
+ "control_after_generate": "运行后操作",
990
+ "fixed": "固定",
991
+ "increment": "增加",
992
+ "decrement": "减少",
993
+ "randomize": "随机",
994
+ "steps": "步数",
995
+ "cfg": "CFG",
996
+ "sampler_name": "采样器",
997
+ "scheduler": "调度器",
998
+ "denoise": "降噪",
999
+ "feather": "羽化",
1000
+ "noise_mask": "仅生成遮罩",
1001
+ "force_inpaint": "强制重绘",
1002
+ "wildcard": "通配符"
1003
+ },
1004
+ "outputs": {
1005
+ "image": "图像",
1006
+ "cropped": "裁剪图像",
1007
+ "cropped_refined": "细化图像",
1008
+ "cropped_refined_alpha": "细化通道",
1009
+ "cnet_images": "ControlNet图像"
1010
+ }
1011
+ },
1012
+ "DetailerForEachDebugPipe": {
1013
+ "title": "局部细化(高级节点束)",
1014
+ "inputs": {
1015
+ "image": "图像",
1016
+ "segs": "Seg",
1017
+ "basic_pipe": "基础节点束",
1018
+ "detailer_hook": "细化约束",
1019
+ "refiner_basic_pipe": "优化基础节点束"
1020
+ },
1021
+ "widgets": {
1022
+ "guide_size": "引导大小",
1023
+ "guide_size_for": "引导目标",
1024
+ "bbox": "BBox",
1025
+ "crop_region": "裁剪区域",
1026
+ "max_size": "最大尺寸",
1027
+ "seed": "随机种",
1028
+ "control_after_generate": "运行后操作",
1029
+ "fixed": "固定",
1030
+ "increment": "增加",
1031
+ "decrement": "减少",
1032
+ "randomize": "随机",
1033
+ "steps": "步数",
1034
+ "cfg": "CFG",
1035
+ "sampler_name": "采样器",
1036
+ "scheduler": "调度器",
1037
+ "denoise": "降噪",
1038
+ "feather": "羽化",
1039
+ "noise_mask": "仅生成遮罩",
1040
+ "force_inpaint": "强制重绘",
1041
+ "wildcard": "通配符",
1042
+ "refiner_ratio": "优化比率"
1043
+ },
1044
+ "outputs": {
1045
+ "image": "图像",
1046
+ "segs": "Seg",
1047
+ "basic_pipe": "基础节点束",
1048
+ "cropped": "裁剪图像",
1049
+ "cropped_refined": "细化图像",
1050
+ "cropped_refined_alpha": "细化通道",
1051
+ "cnet_images": "ControlNet图像"
1052
+ }
1053
+ },
1054
+ "DetailerForEachPipeForAnimateDiff": {
1055
+ "title": "AnimatedDiff局部细化(节点树)",
1056
+ "inputs": {
1057
+ "image_frames": "图像",
1058
+ "segs": "Seg",
1059
+ "basic_pipe": "基础节点束",
1060
+ "detailer_hook": "细化约束",
1061
+ "refiner_basic_pipe_opt": "优化基础节点束"
1062
+ },
1063
+ "widgets": {
1064
+ "guide_size": "引导大小",
1065
+ "guide_size_for": "引导目标",
1066
+ "max_size": "最大尺寸",
1067
+ "seed": "随机种",
1068
+ "control_after_generate": "运行后操作",
1069
+ "steps": "步数",
1070
+ "cfg": "CFG",
1071
+ "sampler_name": "采样器",
1072
+ "scheduler": "调度器",
1073
+ "denoise": "降噪",
1074
+ "feather": "羽化",
1075
+ "refiner_ratio": "优化比率"
1076
+ },
1077
+ "outputs": {
1078
+ "image": "图像",
1079
+ "segs": "Seg",
1080
+ "basic_pipe": "基础节点束"
1081
+ }
1082
+ },
1083
+ "NoiseInjectionDetailerHookProvider": {
1084
+ "title": "插入噪波细化约束器",
1085
+ "widgets": {
1086
+ "source": "生成设备",
1087
+ "seed": "随机种",
1088
+ "control_after_generate": "运行后操作",
1089
+ "fixed": "固定",
1090
+ "increment": "增加",
1091
+ "decrement": "减少",
1092
+ "randomize": "随机",
1093
+ "strength": "强度"
1094
+ },
1095
+ "outputs": {
1096
+ "DETAILER_HOOK": "细化约束"
1097
+ }
1098
+ },
1099
+ "CoreMLDetailerHookProvider": {
1100
+ "title": "CoreML细化约束器",
1101
+ "outputs": {
1102
+ "DETAILER_HOOK": "细化约束"
1103
+ }
1104
+ },
1105
+ "NoiseInjectionHookProvider": {
1106
+ "title": "插入噪波约束器",
1107
+ "widgets": {
1108
+ "scheduler": "调度器",
1109
+ "scheduler_for_iteration": "调度器",
1110
+ "source": "生成设备",
1111
+ "seed": "随机种",
1112
+ "control_after_generate": "运行后操作",
1113
+ "fixed": "固定",
1114
+ "increment": "增加",
1115
+ "decrement": "减少",
1116
+ "randomize": "随机",
1117
+ "start_strength": "初始强度",
1118
+ "end_strength": "最终强度"
1119
+ },
1120
+ "outputs": {
1121
+ "PK_HOOK": "约束"
1122
+ }
1123
+ },
1124
+ "UnsamplerDetailerHookProvider": {
1125
+ "title": "逆采样细化约束器",
1126
+ "inputs": {
1127
+ "model": "模型",
1128
+ "positive": "正面条件",
1129
+ "negative": "负面条件"
1130
+ },
1131
+ "widgets": {
1132
+ "steps": "步数",
1133
+ "start_at_step": "开始步数",
1134
+ "end_end_at_step": "结束步数",
1135
+ "cfg": "CFG",
1136
+ "sampler_name": "采样器",
1137
+ "scheduler": "调度器",
1138
+ "normalize": "规格化",
1139
+ "scheduler_for_cycle": "调度循环"
1140
+ },
1141
+ "outputs": {
1142
+ "DETAILER_HOOK": "细化约束"
1143
+ }
1144
+ },
1145
+ "DenoiseSchedulerDetailerHookProvider": {
1146
+ "title": "降噪调度细化约束器",
1147
+ "widgets": {
1148
+ "scheduler_for_cycle": "调度循环",
1149
+ "target_denoise": "目标降噪"
1150
+ },
1151
+ "outputs": {
1152
+ "DETAILER_HOOK": "细化约束"
1153
+ }
1154
+ },
1155
+ "SEGSDetailer": {
1156
+ "title": "Seg细化",
1157
+ "inputs": {
1158
+ "image": "图像",
1159
+ "segs": "Seg",
1160
+ "basic_pipe": "基础节点束",
1161
+ "refiner_basic_pipe": "优化基础节点束"
1162
+ },
1163
+ "widgets": {
1164
+ "guide_size": "引导大小",
1165
+ "guide_size_for": "引导目标",
1166
+ "bbox": "BBox",
1167
+ "crop_region": "裁剪区域",
1168
+ "max_size": "最大尺寸",
1169
+ "seed": "随机种",
1170
+ "control_after_generate": "运行后操作",
1171
+ "fixed": "固定",
1172
+ "increment": "增加",
1173
+ "decrement": "减少",
1174
+ "randomize": "随机",
1175
+ "steps": "步数",
1176
+ "cfg": "CFG",
1177
+ "sampler_name": "采样器",
1178
+ "scheduler": "调度器",
1179
+ "denoise": "降噪",
1180
+ "noise_mask": "仅生成遮罩",
1181
+ "force_inpaint": "强制重绘",
1182
+ "refiner_ratio": "优化比率"
1183
+ },
1184
+ "outputs": {
1185
+ "SEGS": "Seg",
1186
+ "segs": "Seg",
1187
+ "cnet_images": "ControlNet图像"
1188
+ }
1189
+ },
1190
+ "SEGSDetailerForAnimateDiff": {
1191
+ "title": "Seg细化动态扩散",
1192
+ "inputs": {
1193
+ "image_frames": "图像",
1194
+ "segs": "Seg",
1195
+ "basic_pipe": "基础节点束",
1196
+ "refiner_basic_pipe_opt": "优化基础节点束"
1197
+ },
1198
+ "widgets": {
1199
+ "guide_size": "引导大小",
1200
+ "guide_size_for": "引导目标",
1201
+ "bbox": "BBox",
1202
+ "crop_region": "裁剪区域",
1203
+ "max_size": "最大尺寸",
1204
+ "seed": "随机种",
1205
+ "control_after_generate": "运行后操作",
1206
+ "fixed": "固定",
1207
+ "increment": "增加",
1208
+ "decrement": "减少",
1209
+ "randomize": "随机",
1210
+ "steps": "步数",
1211
+ "cfg": "CFG",
1212
+ "sampler_name": "采样器",
1213
+ "scheduler": "调度器",
1214
+ "denoise": "降噪",
1215
+ "refiner_ratio": "优化比率"
1216
+ },
1217
+ "outputs": {
1218
+ "segs": "Seg"
1219
+ }
1220
+ },
1221
+ "SEGSPaste": {
1222
+ "title": "Seg粘贴",
1223
+ "inputs": {
1224
+ "image": "图像",
1225
+ "segs": "Seg",
1226
+ "ref_image_opt": "参考图像"
1227
+ },
1228
+ "widgets": {
1229
+ "feather": "羽化"
1230
+ },
1231
+ "outputs": {
1232
+ "IMAGE": "图像"
1233
+ }
1234
+ },
1235
+ "SEGSPreview": {
1236
+ "title": "Seg预览",
1237
+ "inputs": {
1238
+ "segs": "Seg",
1239
+ "fallback_image_opt": "备用图像"
1240
+ }
1241
+ },
1242
+ "SEGSPreviewCNet": {
1243
+ "title": "Seg预览(CNet)",
1244
+ "inputs": {
1245
+ "segs": "Seg"
1246
+ },
1247
+ "outputs": {
1248
+ "IMAGE": "图像"
1249
+ }
1250
+ },
1251
+
1252
+
1253
+
1254
+
1255
+ "SAMDetectorCombined": {
1256
+ "title": "SAM检测合并",
1257
+ "inputs": {
1258
+ "sam_model": "SAM模型",
1259
+ "segs": "Seg",
1260
+ "images": "图像",
1261
+ "image": "图像"
1262
+ },
1263
+ "widgets": {
1264
+ "detection_hint": "检测提示",
1265
+ "center-1": "中心",
1266
+ "horizontal-2": "水平",
1267
+ "vertical-2": "竖直",
1268
+ "rect-4": "斜角",
1269
+ "diamond-4": "菱形",
1270
+ "mask-area": "遮罩区域",
1271
+ "mask-points": "遮罩点",
1272
+ "mask-point-bbox": "遮罩点BBox",
1273
+ "dilation": "膨胀",
1274
+ "threshold": "阈值",
1275
+ "bbox_expansion": "BBox扩展",
1276
+ "mask_hint_threshold": "遮罩检测阈值",
1277
+ "mask_hint_use_negative": "负面遮罩提示"
1278
+ },
1279
+ "outputs": {
1280
+ "MASK": "遮罩"
1281
+ }
1282
+ },
1283
+ "SAMDetectorSegmented": {
1284
+ "title": "SAM检测分割",
1285
+ "inputs": {
1286
+ "sam_model": "SAM模型",
1287
+ "segs": "Seg",
1288
+ "images": "图像",
1289
+ "image": "图像"
1290
+ },
1291
+ "widgets": {
1292
+ "detection_hint": "检测提示",
1293
+ "center-1": "中心",
1294
+ "horizontal-2": "水平",
1295
+ "vertical-2": "竖直",
1296
+ "rect-4": "斜角",
1297
+ "diamond-4": "菱形",
1298
+ "mask-area": "遮罩区域",
1299
+ "mask-points": "遮罩点",
1300
+ "mask-point-bbox": "遮罩点BBox",
1301
+ "dilation": "膨胀",
1302
+ "threshold": "阈值",
1303
+ "bbox_expansion": "BBox扩展",
1304
+ "mask_hint_threshold": "遮罩检测阈值",
1305
+ "mask_hint_use_negative": "负面遮罩提示"
1306
+ },
1307
+ "outputs": {
1308
+ "combined_mask": "遮罩",
1309
+ "batch_masks": "遮罩组"
1310
+ }
1311
+ },
1312
+ "BboxDetectorSEGS": {
1313
+ "title": "BBox检测到Seg",
1314
+ "inputs": {
1315
+ "bbox_detector": "BBox检测",
1316
+ "image": "图像"
1317
+ },
1318
+ "widgets": {
1319
+ "threshold": "阈值",
1320
+ "dilation": "膨胀",
1321
+ "crop_factor": "裁剪系数",
1322
+ "drop_size": "最小尺寸"
1323
+ },
1324
+ "outputs": {
1325
+ "SEGS": "Seg"
1326
+ }
1327
+ },
1328
+ "SegmDetectorSEGS": {
1329
+ "title": "Segm检测到Seg",
1330
+ "inputs": {
1331
+ "segm_detector": "Segm检测",
1332
+ "image": "图像"
1333
+ },
1334
+ "widgets": {
1335
+ "threshold": "阈值",
1336
+ "dilation": "膨胀",
1337
+ "crop_factor": "裁剪系数",
1338
+ "drop_size": "最小尺寸"
1339
+ },
1340
+ "outputs": {
1341
+ "SEGS": "Seg"
1342
+ }
1343
+ },
1344
+ "ONNXDetectorSEGS": {
1345
+ "title": "ONNX检测到Seg",
1346
+ "inputs": {
1347
+ "onnx_detector": "ONNX检测",
1348
+ "image": "图像"
1349
+ },
1350
+ "widgets": {
1351
+ "threshold": "阈值",
1352
+ "dilation": "膨胀",
1353
+ "crop_factor": "裁剪系数",
1354
+ "drop_size": "最小尺寸"
1355
+ },
1356
+ "outputs": {
1357
+ "SEGS": "Seg"
1358
+ }
1359
+ },
1360
+ "ImpactSimpleDetectorSEGS_for_AD": {
1361
+ "title": "简易Seg检测动态扩散",
1362
+ "inputs": {
1363
+ "bbox_detector": "BBox检测",
1364
+ "image_frames": "图像",
1365
+ "sam_model_opt": "SAM模型",
1366
+ "segm_detector_opt": "Segm检测"
1367
+ },
1368
+ "widgets": {
1369
+ "bbox_threshold": "BBox阈值",
1370
+ "bbox_dilation": "BBox膨胀",
1371
+ "crop_factor": "裁剪系数",
1372
+ "drop_size": "最小尺寸",
1373
+ "sub_threshold": "次要阈值",
1374
+ "sub_dilation": "次要膨胀",
1375
+ "sub_bbox_expansion": "次要BBox扩展",
1376
+ "sam_mask_hint_threshold": "SAM遮罩检测阈值"
1377
+ },
1378
+ "outputs": {
1379
+ "SEGS": "Seg"
1380
+ }
1381
+ },
1382
+ "ImpactSimpleDetectorSEGS": {
1383
+ "title": "简易Seg检测",
1384
+ "inputs": {
1385
+ "bbox_detector": "BBox检测",
1386
+ "image": "图像",
1387
+ "sam_model_opt": "SAM模型",
1388
+ "segm_detector_opt": "Segm检测"
1389
+ },
1390
+ "widgets": {
1391
+ "bbox_threshold": "BBox阈值",
1392
+ "bbox_dilation": "BBox膨胀",
1393
+ "crop_factor": "裁剪系数",
1394
+ "drop_size": "最小尺寸",
1395
+ "sub_threshold": "次要阈值",
1396
+ "sub_dilation": "次要膨胀",
1397
+ "sub_bbox_expansion": "次要BBox扩展",
1398
+ "sam_mask_hint_threshold": "SAM遮罩检测阈值"
1399
+ },
1400
+ "outputs": {
1401
+ "SEGS": "Seg"
1402
+ }
1403
+ },
1404
+ "ImpactSimpleDetectorSEGSPipe": {
1405
+ "title": "简易Seg检测(节点束)",
1406
+ "inputs": {
1407
+ "detailer_pipe": "细化节点束",
1408
+ "image": "图像"
1409
+ },
1410
+ "widgets": {
1411
+ "bbox_threshold": "BBox阈值",
1412
+ "bbox_dilation": "BBox膨胀",
1413
+ "crop_factor": "裁剪系数",
1414
+ "drop_size": "最小尺寸",
1415
+ "sub_threshold": "次要阈值",
1416
+ "sub_dilation": "次要膨胀",
1417
+ "sub_bbox_expansion": "次要BBox扩展",
1418
+ "sam_mask_hint_threshold": "SAM遮罩检测阈值"
1419
+ },
1420
+ "outputs": {
1421
+ "SEGS": "Seg"
1422
+ }
1423
+ },
1424
+ "BboxDetectorCombined_v2": {
1425
+ "title": "BBox检测器v2",
1426
+ "inputs": {
1427
+ "bbox_detector": "BBox检测",
1428
+ "image": "图像"
1429
+ },
1430
+ "widgets": {
1431
+ "threshold": "阈值",
1432
+ "dilation": "膨胀"
1433
+ },
1434
+ "outputs": {
1435
+ "MASK": "遮罩"
1436
+ }
1437
+ },
1438
+ "SegmDetectorCombined_v2": {
1439
+ "title": "Segm检测器v2",
1440
+ "inputs": {
1441
+ "segm_detector": "Segm检测",
1442
+ "image": "图像"
1443
+ },
1444
+ "widgets": {
1445
+ "threshold": "阈值",
1446
+ "dilation": "膨胀"
1447
+ },
1448
+ "outputs": {
1449
+ "MASK": "遮罩"
1450
+ }
1451
+ },
1452
+
1453
+
1454
+
1455
+
1456
+ "FaceDetailer": {
1457
+ "title": "面部细化",
1458
+ "inputs": {
1459
+ "image": "图像",
1460
+ "model": "模型",
1461
+ "clip": "CLIP",
1462
+ "vae": "VAE",
1463
+ "positive": "正面条件",
1464
+ "negative": "负面条件",
1465
+ "bbox_detector": "BBox检测",
1466
+ "sam_model_opt": "SAM模型",
1467
+ "segm_detector_opt": "Segm检测",
1468
+ "detailer_hook": "细化约束"
1469
+ },
1470
+ "widgets": {
1471
+ "guide_size": "引导大小",
1472
+ "max_size": "最大尺寸",
1473
+ "guide_size_for": "引导目标",
1474
+ "bbox": "BBox",
1475
+ "crop_region": "裁剪区域",
1476
+ "seed": "随机种",
1477
+ "control_after_generate": "运行后操作",
1478
+ "fixed": "固定",
1479
+ "increment": "增加",
1480
+ "decrement": "减少",
1481
+ "randomize": "随机",
1482
+ "steps": "步数",
1483
+ "cfg": "CFG",
1484
+ "sampler_name": "采样器",
1485
+ "scheduler": "调度器",
1486
+ "denoise": "降噪",
1487
+ "feather": "羽化",
1488
+ "noise_mask": "仅生成遮罩",
1489
+ "force_inpaint": "强制重绘",
1490
+ "bbox_threshold": "BBox阈值",
1491
+ "bbox_dilation": "BBox膨胀",
1492
+ "bbox_crop_factor": "BBox裁剪系数",
1493
+ "sam_detection_hint": "SAM检测提示",
1494
+ "center-1": "中心",
1495
+ "horizontal-2": "水平",
1496
+ "vertical-2": "竖直",
1497
+ "rect-4": "斜角",
1498
+ "diamond-4": "菱形",
1499
+ "mask-area": "遮罩区域",
1500
+ "mask-points": "遮罩点",
1501
+ "mask-point-bbox": "遮罩点BBox",
1502
+ "sam_dilation": "SAM膨胀",
1503
+ "sam_threhold": "SAM阈值",
1504
+ "sam_bbox_expansion": "SAMBBox扩展",
1505
+ "sam_mask_hint_threshold": "SAM遮罩检测阈值",
1506
+ "sam_mask_hint_use_negative": "SAM负面遮罩提示",
1507
+ "drop_size": "最小尺寸"
1508
+ },
1509
+ "outputs": {
1510
+ "image": "图像",
1511
+ "cropped_refined": "细化图像",
1512
+ "cropped_enhanced_alpha": "细化部分",
1513
+ "mask": "遮罩",
1514
+ "detailer_pipe": "细化节点束",
1515
+ "cnet_images": "ControlNet图像"
1516
+ }
1517
+ },
1518
+ "FaceDetailerPipe": {
1519
+ "title": "面部细化(节点束)",
1520
+ "inputs": {
1521
+ "image": "图像",
1522
+ "detailer_pipe": "细化节点束"
1523
+ },
1524
+ "widgets": {
1525
+ "guide_size": "引导大小",
1526
+ "max_size": "最大尺寸",
1527
+ "guide_size_for": "引导目标",
1528
+ "bbox": "BBox",
1529
+ "crop_region": "裁剪区域",
1530
+ "seed": "随机种",
1531
+ "control_after_generate": "运行后操作",
1532
+ "fixed": "固定",
1533
+ "increment": "增加",
1534
+ "decrement": "减少",
1535
+ "randomize": "随机",
1536
+ "steps": "步数",
1537
+ "cfg": "CFG",
1538
+ "sampler_name": "采样器",
1539
+ "scheduler": "调度器",
1540
+ "denoise": "降噪",
1541
+ "feather": "羽化",
1542
+ "noise_mask": "仅生成遮罩",
1543
+ "force_inpaint": "强制重绘",
1544
+ "bbox_threshold": "BBox阈值",
1545
+ "bbox_dilation": "BBox膨胀",
1546
+ "bbox_crop_factor": "BBox裁剪系数",
1547
+ "sam_detection_hint": "SAM检测提示",
1548
+ "center-1": "中心",
1549
+ "horizontal-2": "水平",
1550
+ "vertical-2": "竖直",
1551
+ "rect-4": "斜角",
1552
+ "diamond-4": "菱形",
1553
+ "mask-area": "遮罩区域",
1554
+ "mask-points": "遮罩点",
1555
+ "mask-point-bbox": "遮罩点BBox",
1556
+ "sam_dilation": "SAM膨胀",
1557
+ "sam_bbox_expansion": "SAMBBox扩展",
1558
+ "sam_mask_hint_threshold": "SAM遮罩检测阈值",
1559
+ "sam_mask_hint_use_negative": "SAM负面遮罩提示",
1560
+ "drop_size": "最小尺寸",
1561
+ "refiner_ratio": "优化比率"
1562
+ },
1563
+ "outputs": {
1564
+ "image": "图像",
1565
+ "cropped_refined": "细化图像",
1566
+ "cropped_enhanced_alpha": "细化部分",
1567
+ "mask": "遮罩",
1568
+ "detailer": "细化节点束",
1569
+ "cnet_images": "ControlNet图像"
1570
+ }
1571
+ },
1572
+
1573
+
1574
+
1575
+ "MaskDetailerPipe": {
1576
+ "title": "遮罩细化(节点���)",
1577
+ "inputs": {
1578
+ "image": "图像",
1579
+ "mask": "遮罩",
1580
+ "basic_pipe": "基础节点束",
1581
+ "refiner_basic_pipe_opt": "优化基础节点束",
1582
+ "detailer_hook": "细化约束"
1583
+ },
1584
+ "widgets": {
1585
+ "guide_size": "引导大小",
1586
+ "guide_size_for": "引导目标",
1587
+ "max_size": "最大尺寸",
1588
+ "mask_mode": "遮罩模式",
1589
+ "seed": "随机种",
1590
+ "control_after_generate": "运行后操作",
1591
+ "fixed": "固定",
1592
+ "increment": "增加",
1593
+ "decrement": "减少",
1594
+ "randomize": "随机",
1595
+ "steps": "步数",
1596
+ "cfg": "CFG",
1597
+ "sampler_name": "采样器",
1598
+ "scheduler": "调度器",
1599
+ "denoise": "降噪",
1600
+ "feather": "羽化",
1601
+ "crop_factor": "裁剪系数",
1602
+ "drop_size": "最小尺寸",
1603
+ "refiner_ratio": "优化比率",
1604
+ "batch_size": "批次大小"
1605
+ },
1606
+ "outputs": {
1607
+ "image": "图像",
1608
+ "cropped_refined": "细化图像",
1609
+ "cropped_enhanced_alpha": "细化部分",
1610
+ "basic_pipe": "基础节点束",
1611
+ "refiner_basic_pipe_opt": "优化基础节点束"
1612
+ }
1613
+ },
1614
+
1615
+
1616
+
1617
+
1618
+ "ToDetailerPipe": {
1619
+ "title": "到细化束",
1620
+ "inputs": {
1621
+ "model": "模型",
1622
+ "clip": "CLIP",
1623
+ "vae": "VAE",
1624
+ "positive": "正面条件",
1625
+ "negative": "负面条件",
1626
+ "bbox_detector": "BBox检测",
1627
+ "sam_model_opt": "SAM模型",
1628
+ "segm_detector_opt": "Segm检测",
1629
+ "detailer_hook": "细化约束"
1630
+ },
1631
+ "widgets": {
1632
+ "Select to add LoRA": "添加LoRA"
1633
+ },
1634
+ "outputs": {
1635
+ "detailer_pipe":"细化节点束"
1636
+ }
1637
+ },
1638
+ "ToDetailerPipeSDXL": {
1639
+ "title": "到细化束(SDXL)",
1640
+ "inputs": {
1641
+ "model": "模型",
1642
+ "clip": "CLIP",
1643
+ "vae": "VAE",
1644
+ "positive": "正面条件",
1645
+ "negative": "负面条件",
1646
+ "refiner_model": "模型(Refiner)",
1647
+ "refiner_clip": "CLIP(Refiner)",
1648
+ "refiner_positive": "正面条件(Refiner)",
1649
+ "refiner_negative": "负面条件(Refiner)",
1650
+ "bbox_detector": "BBox检测",
1651
+ "sam_model_opt": "SAM模型",
1652
+ "segm_detector_opt": "Segm检测",
1653
+ "detailer_hook": "细化约束"
1654
+ },
1655
+ "widgets": {
1656
+ "wildcard": "通配符",
1657
+ "Select to add LoRA": "添加LoRA",
1658
+ "Select the LoRA to add to the text": "选择LoRA"
1659
+ },
1660
+ "outputs": {
1661
+ "detailer_pipe": "细化节点束"
1662
+ }
1663
+ },
1664
+ "FromDetailerPipe": {
1665
+ "title": "从细化束",
1666
+ "inputs": {
1667
+ "detailer_pipe": "细化节点束"
1668
+ },
1669
+ "outputs": {
1670
+ "model": "模型",
1671
+ "clip": "CLIP",
1672
+ "vae": "VAE",
1673
+ "positive": "正面条件",
1674
+ "negative": "负面条件",
1675
+ "bbox_detector": "BBox检测",
1676
+ "sam_model_opt": "SAM模型",
1677
+ "segm_detector_opt": "Segm检测",
1678
+ "detailer_hook": "细化约束"
1679
+ }
1680
+ },
1681
+ "FromDetailerPipe_v2": {
1682
+ "title": "从细化束_v2",
1683
+ "inputs": {
1684
+ "detailer_pipe": "细化节点束"
1685
+ },
1686
+ "outputs": {
1687
+ "detailer_pipe": "细化节点束",
1688
+ "model": "模型",
1689
+ "clip": "CLIP",
1690
+ "vae": "VAE",
1691
+ "positive": "正面条件",
1692
+ "negative": "负面条件",
1693
+ "bbox_detector": "BBox检测",
1694
+ "sam_model_opt": "SAM模型",
1695
+ "segm_detector_opt": "Segm检测",
1696
+ "detailer_hook": "细化约束"
1697
+ }
1698
+ },
1699
+ "FromDetailerPipeSDXL": {
1700
+ "title": "从细化束(SDXL)",
1701
+ "inputs": {
1702
+ "detailer_pipe": "细化节点束"
1703
+ },
1704
+ "outputs": {
1705
+ "detailer_pipe": "细化节点束",
1706
+ "model": "模型",
1707
+ "clip": "CLIP",
1708
+ "vae": "VAE",
1709
+ "positive": "正面条件",
1710
+ "negative": "负面条件",
1711
+ "bbox_detector": "BBox检测",
1712
+ "sam_model_opt": "SAM模型",
1713
+ "segm_detector_opt": "Segm检测",
1714
+ "detailer_hook": "细化约束",
1715
+ "refiner_model": "模型(Refiner)",
1716
+ "refiner_clip": "CLIP(Refiner)",
1717
+ "refiner_positive": "正面条件(Refiner)",
1718
+ "refiner_negative": "负面条件(Refiner)"
1719
+ }
1720
+ },
1721
+ "EditDetailerPipe": {
1722
+ "title": "编辑细化束",
1723
+ "inputs": {
1724
+ "detailer_pipe": "细化节点束",
1725
+ "model": "模型",
1726
+ "clip": "CLIP",
1727
+ "vae": "VAE",
1728
+ "positive": "正面��件",
1729
+ "negative": "负面条件",
1730
+ "bbox_detector": "BBox检测",
1731
+ "sam_model_opt": "SAM模型",
1732
+ "sam_model": "SAM模型",
1733
+ "segm_detector_opt": "Segm检测",
1734
+ "segm_detector": "Segm检测",
1735
+ "detailer_hook": "细化约束"
1736
+ },
1737
+ "widgets": {
1738
+ "wildcard": "通配符",
1739
+ "Select the LoRA to add to the text": "选择LoRA",
1740
+ "Select to add LoRA": "添加LoRA"
1741
+ },
1742
+ "outputs": {
1743
+ "detailer_pipe": "细化节点束"
1744
+ }
1745
+ },
1746
+ "DetailerPipeToBasicPipe": {
1747
+ "title": "细化束到基础束",
1748
+ "inputs": {
1749
+ "detailer_pipe": "细化节点束"
1750
+ },
1751
+ "outputs": {
1752
+ "BASIC_PIPE": "基础节点束",
1753
+ "basic_pipe": "基础节点束",
1754
+ "refiner_basic_pipe": "优化基础节点束"
1755
+ }
1756
+ },
1757
+ "ToBasicPipe": {
1758
+ "title": "到基础束",
1759
+ "inputs": {
1760
+ "model": "模型",
1761
+ "clip": "CLIP",
1762
+ "vae": "VAE",
1763
+ "positive": "正面条件",
1764
+ "negative": "负面条件"
1765
+ },
1766
+ "outputs": {
1767
+ "BASIC_PIPE": "基础节点束",
1768
+ "basic_pipe": "基础节点束"
1769
+ }
1770
+ },
1771
+ "FromBasicPipe": {
1772
+ "title": "从基础束",
1773
+ "inputs": {
1774
+ "basic_pipe": "基础节点束"
1775
+ },
1776
+ "outputs": {
1777
+ "model": "模型",
1778
+ "clip": "CLIP",
1779
+ "vae": "VAE",
1780
+ "positive": "正面条件",
1781
+ "negative": "负面条件"
1782
+ }
1783
+ },
1784
+ "FromBasicPipe_v2": {
1785
+ "title": "从基础束v2",
1786
+ "inputs": {
1787
+ "BASIC_PIPE": "基础节点束",
1788
+ "basic_pipe": "基础节点束"
1789
+ },
1790
+ "outputs": {
1791
+ "BASIC_PIPE": "基础节点束",
1792
+ "basic_pipe": "基础节点束",
1793
+ "model": "模型",
1794
+ "clip": "CLIP",
1795
+ "vae": "VAE",
1796
+ "positive": "正面条件",
1797
+ "negative": "负面条件"
1798
+ }
1799
+ },
1800
+ "EditBasicPipe": {
1801
+ "title": "编辑基础束",
1802
+ "inputs": {
1803
+ "BASIC_PIPE": "基础节点束",
1804
+ "basic_pipe": "基础节点束",
1805
+ "model": "模型",
1806
+ "clip": "CLIP",
1807
+ "vae": "VAE",
1808
+ "positive": "正面条件",
1809
+ "negative": "负面条件"
1810
+ },
1811
+ "outputs": {
1812
+ "BASIC_PIPE": "基础节点束",
1813
+ "basic_pipe": "基础节点束"
1814
+ }
1815
+ },
1816
+ "BasicPipeToDetailerPipe": {
1817
+ "title": "基础束到细化束",
1818
+ "inputs": {
1819
+ "BASIC_PIPE": "基础节点束",
1820
+ "basic_pipe": "基础节点束",
1821
+ "bbox_detector": "BBox检测",
1822
+ "sam_model_opt": "SAM模型",
1823
+ "segm_detector_opt": "Segm检测",
1824
+ "detailer_hook": "细化约束"
1825
+ },
1826
+ "widgets": {
1827
+ "wildcard": "通配符",
1828
+ "Select the LoRA to add to the text": "选择LoRA",
1829
+ "Select to add LoRA": "添加LoRA"
1830
+ },
1831
+ "outputs": {
1832
+ "DETAILER_PIPE": "细化节点束",
1833
+ "detailer_pipe": "细化节点束"
1834
+ }
1835
+ },
1836
+ "BasicPipeToDetailerPipeSDXL": {
1837
+ "title": "基础束到细化束(SDXL)",
1838
+ "inputs": {
1839
+ "base_basic_pipe": "基础基础节点束",
1840
+ "refiner_basic_pipe": "优化基础节点束",
1841
+ "bbox_detector": "BBox检测",
1842
+ "sam_model_opt": "SAM模型",
1843
+ "segm_detector_opt": "Segm检测",
1844
+ "detailer_hook": "细化约束"
1845
+ },
1846
+ "widgets": {
1847
+ "wildcard": "通配符",
1848
+ "Select the LoRA to add to the text": "选择LoRA",
1849
+ "Select to add LoRA": "添加LoRA"
1850
+ },
1851
+ "outputs": {
1852
+ "DETAILER_PIPE": "细化节点束",
1853
+ "detailer_pipe": "细化节点束"
1854
+ }
1855
+ },
1856
+ "EditDetailerPipeSDXL": {
1857
+ "title": "编辑细化束(SDXL)",
1858
+ "inputs": {
1859
+ "detailer_pipe": "细化节点束",
1860
+ "model": "模型",
1861
+ "clip": "CLIP",
1862
+ "vae": "VAE",
1863
+ "positive": "正面条件",
1864
+ "negative": "负面条件",
1865
+ "bbox_detector": "BBox检测",
1866
+ "sam_model_opt": "SAM模型",
1867
+ "sam_model": "SAM模型",
1868
+ "segm_detector_opt": "Segm检测",
1869
+ "segm_detector": "Segm检测",
1870
+ "detailer_hook": "细化约束",
1871
+ "refiner_model": "模型(Refiner)",
1872
+ "refiner_clip": "CLIP(Refiner)",
1873
+ "refiner_positive": "正面条件(Refiner)",
1874
+ "refiner_negative": "负面条件(Refiner)"
1875
+ },
1876
+ "widgets": {
1877
+ "wildcard": "通配符",
1878
+ "Select the LoRA to add to the text": "选择LoRA",
1879
+ "Select to add LoRA": "添加LoRA"
1880
+ },
1881
+ "outputs": {
1882
+ "detailer_pipe": "细化节点束"
1883
+ }
1884
+ },
1885
+
1886
+
1887
+
1888
+
1889
+ "LatentPixelScale": {
1890
+ "title": "Latent像素缩放",
1891
+ "inputs": {
1892
+ "samples": "Latent",
1893
+ "vae": "VAE",
1894
+ "upscale_model_opt": "放大模型"
1895
+ },
1896
+ "widgets": {
1897
+ "scale_method": "缩放方法",
1898
+ "nearest-exact": "邻近-精确",
1899
+ "bilinear": "双线性插值",
1900
+ "area": "区域",
1901
+ "scale_factor": "缩放系数",
1902
+ "use_tiled_vae": "使用分块VAE"
1903
+ },
1904
+ "outputs": {
1905
+ "LATENT": "Latent"
1906
+ }
1907
+ },
1908
+ "PixelKSampleUpscalerProvider": {
1909
+ "title": "K采样像素缩放器",
1910
+ "inputs": {
1911
+ "model": "模型",
1912
+ "vae": "VAE",
1913
+ "positive": "正面条件",
1914
+ "negative": "负面条件",
1915
+ "upscale_model_opt": "放大模型",
1916
+ "pk_hook_opt": "约束"
1917
+ },
1918
+ "widgets": {
1919
+ "scale_method": "缩放方法",
1920
+ "nearest-exact": "邻近-精确",
1921
+ "bilinear": "双线性插值",
1922
+ "area": "区域",
1923
+ "seed": "随机种",
1924
+ "control_after_generate": "运行后操作",
1925
+ "fixed": "固定",
1926
+ "increment": "增加",
1927
+ "decrement": "减少",
1928
+ "randomize": "随机",
1929
+ "steps": "步数",
1930
+ "cfg": "CFG",
1931
+ "sampler_name": "采样器",
1932
+ "scheduler": "调度器",
1933
+ "denoise": "降噪",
1934
+ "use_tiled_vae": "使用分块VAE",
1935
+ "tile_size": "分块尺寸"
1936
+ },
1937
+ "outputs": {
1938
+ "UPSCALER": "缩放"
1939
+ }
1940
+ },
1941
+ "PixelKSampleUpscalerProviderPipe": {
1942
+ "title": "K采样像素缩放器(节点束)",
1943
+ "inputs": {
1944
+ "basic_pipe": "基础节点束",
1945
+ "upscale_model_opt": "放大模型",
1946
+ "pk_hook_opt": "约束"
1947
+ },
1948
+ "widgets": {
1949
+ "scale_method": "缩放方法",
1950
+ "nearest-exact": "邻近-精确",
1951
+ "bilinear": "双线性插值",
1952
+ "area": "区域",
1953
+ "seed": "随机种",
1954
+ "control_after_generate": "运行后操作",
1955
+ "fixed": "固定",
1956
+ "increment": "增加",
1957
+ "decrement": "减少",
1958
+ "randomize": "随机",
1959
+ "steps": "步数",
1960
+ "cfg": "CFG",
1961
+ "sampler_name": "采样器",
1962
+ "scheduler": "调度器",
1963
+ "denoise": "降噪",
1964
+ "use_tiled_vae": "使用分块VAE",
1965
+ "tile_size": "分块尺寸"
1966
+ },
1967
+ "outputs": {
1968
+ "UPSCALER": "缩放"
1969
+ }
1970
+ },
1971
+ "IterativeLatentUpscale": {
1972
+ "title": "Latent迭代缩放",
1973
+ "inputs": {
1974
+ "samples": "Latent",
1975
+ "upscaler": "缩放"
1976
+ },
1977
+ "widgets": {
1978
+ "upscale_factor": "缩放系数",
1979
+ "steps": "步数",
1980
+ "temp_prefix": "前缀"
1981
+ },
1982
+ "outputs": {
1983
+ "latent": "Latent"
1984
+ }
1985
+ },
1986
+ "IterativeImageUpscale": {
1987
+ "title": "图像迭代缩放",
1988
+ "inputs": {
1989
+ "pixels": "图像",
1990
+ "upscaler": "缩放",
1991
+ "vae": "VAE"
1992
+ },
1993
+ "widgets": {
1994
+ "upscale_factor": "缩放系数",
1995
+ "steps": "步数",
1996
+ "temp_prefix": "前缀"
1997
+ },
1998
+ "outputs": {
1999
+ "image": "图像"
2000
+ }
2001
+ },
2002
+ "PixelTiledKSampleUpscalerProvider": {
2003
+ "title": "K采样像素缩放器(分块)",
2004
+ "inputs": {
2005
+ "model": "模型",
2006
+ "vae": "VAE",
2007
+ "positive": "正面条件",
2008
+ "negative": "负面条件",
2009
+ "upscale_model_opt": "放大模型",
2010
+ "pk_hook_opt": "约束"
2011
+ },
2012
+ "widgets": {
2013
+ "scale_method": "缩放方法",
2014
+ "nearest-exact": "邻近-精确",
2015
+ "bilinear": "双线性插值",
2016
+ "area": "区域",
2017
+ "seed": "随机种",
2018
+ "control_after_generate": "运行后操作",
2019
+ "fixed": "固定",
2020
+ "increment": "增加",
2021
+ "decrement": "减少",
2022
+ "randomize": "随机",
2023
+ "steps": "步数",
2024
+ "cfg": "CFG",
2025
+ "sampler_name": "采样器",
2026
+ "scheduler": "调度器",
2027
+ "denoise": "降噪",
2028
+ "tile_width": "分块宽度",
2029
+ "tile_height": "分块高度",
2030
+ "tiling_strategy": "分块策略",
2031
+ "random": "随机",
2032
+ "padded": "分区",
2033
+ "simple": "简易"
2034
+ },
2035
+ "outputs": {
2036
+ "UPSCALER": "缩放"
2037
+ }
2038
+ },
2039
+ "PixelTiledKSampleUpscalerProviderPipe": {
2040
+ "title": "K采样像素缩放器(分块节点束)",
2041
+ "inputs": {
2042
+ "model": "模型",
2043
+ "vae": "VAE",
2044
+ "positive": "正面条件",
2045
+ "negative": "负面条件",
2046
+ "upscale_model_opt": "放大模型",
2047
+ "pk_hook_opt": "约束",
2048
+ "basic_pipe": "基础节点束"
2049
+ },
2050
+ "widgets": {
2051
+ "scale_method": "缩放方法",
2052
+ "nearest-exact": "邻近-精确",
2053
+ "bilinear": "双线性插值",
2054
+ "area": "区域",
2055
+ "seed": "随机种",
2056
+ "control_after_generate": "运行后操作",
2057
+ "fixed": "固定",
2058
+ "increment": "增加",
2059
+ "decrement": "减少",
2060
+ "randomize": "随机",
2061
+ "steps": "步数",
2062
+ "cfg": "CFG",
2063
+ "sampler_name": "采样器",
2064
+ "scheduler": "调度器",
2065
+ "denoise": "降噪",
2066
+ "tile_width": "分块宽度",
2067
+ "tile_height": "分块高度",
2068
+ "tiling_strategy": "分块策略",
2069
+ "random": "随机",
2070
+ "padded": "分区",
2071
+ "simple": "简易"
2072
+ },
2073
+ "outputs": {
2074
+ "UPSCALER": "缩放"
2075
+ }
2076
+ },
2077
+ "TwoSamplersForMaskUpscalerProvider": {
2078
+ "title": "双采样缩放器",
2079
+ "inputs": {
2080
+ "base_sampler": "基础采样器",
2081
+ "mask_sampler": "遮罩采样器",
2082
+ "mask": "遮罩",
2083
+ "vae": "VAE",
2084
+ "full_sampler_opt": "全局采样器",
2085
+ "upscale_model_opt": "放大模型",
2086
+ "pk_hook_base_opt": "基础约束",
2087
+ "pk_hook_mask_opt": "遮罩约束",
2088
+ "pk_hook_full_opt": "全局约束"
2089
+ },
2090
+ "widgets": {
2091
+ "scale_method": "缩放方法",
2092
+ "nearest-exact": "邻近-精确",
2093
+ "bilinear": "双线性插值",
2094
+ "area": "区域",
2095
+ "full_sample_schedule": "采样调度器",
2096
+ "interleave1": "交错1",
2097
+ "interleave2": "交错2",
2098
+ "interleave3": "交错3",
2099
+ "last1": "连续1",
2100
+ "last2": "连续2",
2101
+ "interleave1+last1": "交错1+连续1",
2102
+ "interleave2+last1": "交错2+连续1",
2103
+ "interleave3+last1": "交错3+连续1",
2104
+ "use_tiled_vae": "使用分块VAE",
2105
+ "tile_size": "分块尺寸"
2106
+ },
2107
+ "outputs": {
2108
+ "UPSCALER": "缩放"
2109
+ }
2110
+ },
2111
+ "TwoSamplersForMaskUpscalerProviderPipe": {
2112
+ "title": "双采样缩放器(节点束)",
2113
+ "inputs": {
2114
+ "base_sampler": "基础采样器",
2115
+ "mask_sampler": "遮罩采样器",
2116
+ "mask": "遮罩",
2117
+ "basic_pipe": "基础节点束",
2118
+ "full_sampler_opt": "全局采样器",
2119
+ "upscale_model_opt": "放大模型",
2120
+ "pk_hook_base_opt": "基础约束",
2121
+ "pk_hook_mask_opt": "遮罩约束",
2122
+ "pk_hook_full_opt": "全局约束"
2123
+ },
2124
+ "widgets": {
2125
+ "scale_method": "缩放方法",
2126
+ "nearest-exact": "邻近-精确",
2127
+ "bilinear": "双线性插值",
2128
+ "area": "区域",
2129
+ "full_sample_schedule": "采样调度器",
2130
+ "interleave1": "交错1",
2131
+ "interleave2": "交错2",
2132
+ "interleave3": "交错3",
2133
+ "last1": "连续1",
2134
+ "last2": "连续2",
2135
+ "interleave1+last1": "交错1+连续1",
2136
+ "interleave2+last1": "交错2+连续1",
2137
+ "interleave3+last1": "交错3+连续1",
2138
+ "use_tiled_vae": "使用分块VAE",
2139
+ "tile_size": "分块尺寸"
2140
+ },
2141
+ "outputs": {
2142
+ "UPSCALER": "缩放"
2143
+ }
2144
+ },
2145
+ "PixelKSampleHookCombine": {
2146
+ "title": "约束组合",
2147
+ "inputs": {
2148
+ "hook1": "约束1",
2149
+ "hook2": "约束2"
2150
+ },
2151
+ "outputs": {
2152
+ "PK_HOOK": "约束"
2153
+ }
2154
+ },
2155
+ "DenoiseScheduleHookProvider": {
2156
+ "title": "降噪约束器",
2157
+ "widgets": {
2158
+ "scheduler_for_iteration": "调度插值",
2159
+ "target_denoise": "目标降噪"
2160
+ },
2161
+ "outputs": {
2162
+ "PK_HOOK": "约束"
2163
+ }
2164
+ },
2165
+ "CfgScheduleHookProvider": {
2166
+ "title": "CFG约束器",
2167
+ "widgets": {
2168
+ "scheduler_for_iteration": "调度插值",
2169
+ "target_cfg": "目标CFG"
2170
+ },
2171
+ "outputs": {
2172
+ "PK_HOOK": "约束"
2173
+ }
2174
+ },
2175
+ "DetailerHookCombine": {
2176
+ "title": "细化约束合并",
2177
+ "inputs": {
2178
+ "hook1": "约束1",
2179
+ "hook2": "约束2"
2180
+ },
2181
+ "outputs": {
2182
+ "DETAILER_HOOK": "细化约束"
2183
+ }
2184
+ },
2185
+ "UnsamplerHookProvider": {
2186
+ "title": "逆采样约束器",
2187
+ "inputs": {
2188
+ "model": "模型",
2189
+ "positive": "正面条件",
2190
+ "negative": "负面条件"
2191
+ },
2192
+ "widgets": {
2193
+ "steps": "步数",
2194
+ "start_end_at_step": "开始步数",
2195
+ "end_end_at_step": "结束步数",
2196
+ "cfg": "CFG",
2197
+ "sampler_name": "采样器",
2198
+ "scheduler": "调度器",
2199
+ "normalize": "规格化",
2200
+ "scheduler_for_cycle": "调度循环"
2201
+ },
2202
+ "outputs": {
2203
+ "PK_HOOK": "约束"
2204
+ }
2205
+ },
2206
+
2207
+
2208
+
2209
+
2210
+ "KSamplerProvider": {
2211
+ "title": "K采样提供器(节点束)",
2212
+ "inputs": {
2213
+ "basic_pipe": "基础节点束"
2214
+ },
2215
+ "widgets": {
2216
+ "seed": "随机种",
2217
+ "control_after_generate": "运行后操作",
2218
+ "fixed": "固定",
2219
+ "increment": "增加",
2220
+ "decrement": "减少",
2221
+ "randomize": "随机",
2222
+ "steps": "步数",
2223
+ "cfg": "CFG",
2224
+ "sampler_name": "采样器",
2225
+ "scheduler": "调度器",
2226
+ "denoise": "降噪"
2227
+ },
2228
+ "outputs": {
2229
+ "KSAMPLER": "K采样器"
2230
+ }
2231
+ },
2232
+ "TwoSamplersForMask": {
2233
+ "title": "双采样器",
2234
+ "inputs": {
2235
+ "latent_image": "Latent",
2236
+ "base_sampler": "基础采样器",
2237
+ "mask_sampler": "遮罩采样器",
2238
+ "mask": "遮罩"
2239
+ },
2240
+ "outputs": {
2241
+ "LATENT": "Latent"
2242
+ }
2243
+ },
2244
+ "TiledKSamplerProvider": {
2245
+ "title": "K采样提供器(分块节点束)",
2246
+ "inputs": {
2247
+ "basic_pipe": "基础节点束"
2248
+ },
2249
+ "widgets": {
2250
+ "seed": "随机种",
2251
+ "control_after_generate": "运行后操作",
2252
+ "fixed": "固定",
2253
+ "increment": "增加",
2254
+ "decrement": "减少",
2255
+ "randomize": "随机",
2256
+ "steps": "步数",
2257
+ "cfg": "CFG",
2258
+ "sampler_name": "采样器",
2259
+ "scheduler": "调度器",
2260
+ "denoise": "降噪",
2261
+ "tile_width": "分块宽度",
2262
+ "tile_height": "分块高度",
2263
+ "tiling_strategy": "分块策略",
2264
+ "random": "随机",
2265
+ "padded": "分区",
2266
+ "simple": "简易"
2267
+ },
2268
+ "outputs": {
2269
+ "KSAMPLER": "K采样器"
2270
+ }
2271
+ },
2272
+ "KSamplerAdvancedProvider": {
2273
+ "title": "K采样提供器(高级节点束)",
2274
+ "inputs": {
2275
+ "basic_pipe": "基础节点束"
2276
+ },
2277
+ "widgets": {
2278
+ "cfg": "CFG",
2279
+ "sampler_name": "采样器",
2280
+ "scheduler": "调度器"
2281
+ },
2282
+ "outputs": {
2283
+ "KSAMPLER_ADVANCED": "K采样器(高级)"
2284
+ }
2285
+ },
2286
+ "TwoAdvancedSamplersForMask": {
2287
+ "title": "双采样器(高级)",
2288
+ "inputs": {
2289
+ "samples": "Latent",
2290
+ "base_sampler": "基础采样器",
2291
+ "mask_sampler": "遮罩采样器",
2292
+ "mask": "遮罩"
2293
+ },
2294
+ "widgets": {
2295
+ "seed": "随机种",
2296
+ "control_after_generate": "运行后操作",
2297
+ "fixed": "固定",
2298
+ "increment": "增加",
2299
+ "decrement": "减少",
2300
+ "randomize": "随机",
2301
+ "steps": "步数",
2302
+ "denoise": "降噪",
2303
+ "overlap_factor": "覆盖系数"
2304
+ },
2305
+ "outputs": {
2306
+ "LATENT": "Latent"
2307
+ }
2308
+ },
2309
+
2310
+
2311
+
2312
+ "ImpactWildcardProcessor": {
2313
+ "title": "通配符处理器",
2314
+ "widgets": {
2315
+ "wildcard_text": "通配文本",
2316
+ "populated_text": "输入文本",
2317
+ "mode": "是否输入",
2318
+ "seed": "随机种",
2319
+ "control_after_generate": "运行后操作",
2320
+ "fixed": "固定",
2321
+ "increment": "增加",
2322
+ "decrement": "减少",
2323
+ "randomize": "随机"
2324
+ },
2325
+ "outputs": {
2326
+ "STRING": "字符串"
2327
+ }
2328
+ },
2329
+ "ImpactWildcardEncode": {
2330
+ "title": "通配符编码",
2331
+ "inputs": {
2332
+ "model": "模型",
2333
+ "clip": "CLIP",
2334
+ "seed": "随机种",
2335
+ "control_after_generate": "运行后操作",
2336
+ "fixed": "固定",
2337
+ "increment": "增加",
2338
+ "decrement": "减少",
2339
+ "randomize": "随机"
2340
+ },
2341
+ "widgets": {
2342
+ "wildcard_text": "通配文本",
2343
+ "populated_text": "输入文本",
2344
+ "mode": "是否输入",
2345
+ "Select to add LoRA": "添加LoRA"
2346
+ },
2347
+ "outputs": {
2348
+ "MODEL": "模型",
2349
+ "CLIP": "CLIP",
2350
+ "CONDITIONING": "条件",
2351
+ "conditioning": "条件"
2352
+ }
2353
+ },
2354
+
2355
+
2356
+
2357
+
2358
+ "RegionalPrompt": {
2359
+ "title": "区域提示词",
2360
+ "inputs": {
2361
+ "mask": "遮罩",
2362
+ "advanced_sampler": "K采样器(高级)"
2363
+ },
2364
+ "outputs": {
2365
+ "regional_prompts": "区域提示词",
2366
+ "REGIONAL_PROMPTS": "区域提示词"
2367
+ }
2368
+ },
2369
+ "CombineRegionalPrompts": {
2370
+ "title": "合并区域提示词",
2371
+ "inputs": {
2372
+ "regional_prompts1": "区域提示词1",
2373
+ "regional_prompts2": "区域提示词2"
2374
+ },
2375
+ "outputs": {
2376
+ "REGIONAL_PROMPTS": "区域提示词"
2377
+ }
2378
+ },
2379
+ "RegionalSampler": {
2380
+ "title": "区域采样器",
2381
+ "inputs": {
2382
+ "samples": "Latent",
2383
+ "base_sampler": "K采样器(高级)",
2384
+ "regional_prompts": "区域提示词"
2385
+ },
2386
+ "widgets": {
2387
+ "seed": "随机种",
2388
+ "control_after_generate": "运行后操作",
2389
+ "fixed": "固定",
2390
+ "increment": "增加",
2391
+ "decrement": "减少",
2392
+ "randomize": "随机",
2393
+ "steps": "步数",
2394
+ "denoise": "降噪",
2395
+ "restore_latent": "临时Latent",
2396
+ "overlap_factor": "覆盖系数"
2397
+ },
2398
+ "outputs": {
2399
+ "LATENT": "Latent"
2400
+ }
2401
+ },
2402
+ "RegionalSamplerAdvanced": {
2403
+ "title": "区域采样器(高级)",
2404
+ "inputs": {
2405
+ "samples": "Latent",
2406
+ "latent_image": "Latent",
2407
+ "base_sampler": "K采样器(高级)",
2408
+ "regional_prompts": "区域提示词"
2409
+ },
2410
+ "widgets": {
2411
+ "add_noise": "添加噪波",
2412
+ "seed": "随机种",
2413
+ "noise_seed": "随机种",
2414
+ "control_after_generate": "运行后操作",
2415
+ "fixed": "固定",
2416
+ "increment": "增加",
2417
+ "decrement": "减少",
2418
+ "randomize": "随机",
2419
+ "steps": "步数",
2420
+ "start_at_step": "开始降噪步数",
2421
+ "end_at_step": "结束降噪步数",
2422
+ "overlap_factor": "覆盖系数",
2423
+ "restore_latent": "临时Latent",
2424
+ "return_with_leftover_noise": "返回噪波"
2425
+ },
2426
+ "outputs": {
2427
+ "LATENT": "Latent"
2428
+ }
2429
+ },
2430
+
2431
+
2432
+
2433
+ "ImpactConcatConditionings": {
2434
+ "title": "条件联结",
2435
+ "inputs": {
2436
+ "conditioning": "条件"
2437
+ },
2438
+ "outputs": {
2439
+ "CONDITIONING": "条件"
2440
+ }
2441
+ },
2442
+
2443
+
2444
+
2445
+ "ImpactImageInfo": {
2446
+ "title": "图像信息",
2447
+ "inputs": {
2448
+ "value": "图像"
2449
+ },
2450
+ "outputs": {
2451
+ "batch": "批次大小",
2452
+ "height": "高度",
2453
+ "width": "宽度",
2454
+ "channel": "通道"
2455
+ }
2456
+ },
2457
+ "ImpactLatentInfo": {
2458
+ "title": "Latent信息",
2459
+ "inputs": {
2460
+ "value": "Latent"
2461
+ },
2462
+ "outputs": {
2463
+ "batch": "批次大小",
2464
+ "height": "高度",
2465
+ "width": "宽度",
2466
+ "channel": "通道"
2467
+ }
2468
+ },
2469
+ "ImpactMinMax": {
2470
+ "title": "求极值",
2471
+ "inputs": {
2472
+ "mode": "模式",
2473
+ "a": "A",
2474
+ "b": "B"
2475
+ },
2476
+ "outputs": {
2477
+ "INT": "整数"
2478
+ }
2479
+ },
2480
+ "ImpactQueueTrigger": {
2481
+ "title": "队列触发器",
2482
+ "inputs": {
2483
+ "signal": "信号"
2484
+ },
2485
+ "widgets": {
2486
+ "mode": "模式"
2487
+ },
2488
+ "outputs": {
2489
+ "signal_opt": "信号"
2490
+ }
2491
+ },
2492
+ "ImpactQueueTriggerCountdown": {
2493
+ "title": "队列触发器(计数)",
2494
+ "inputs": {
2495
+ "signal": "信号"
2496
+ },
2497
+ "widgets": {
2498
+ "count": "计数"
2499
+ },
2500
+ "outputs": {
2501
+ "signal_opt": "信号",
2502
+ "count": "计数"
2503
+ }
2504
+ },
2505
+ "ImpactSetWidgetValue": {
2506
+ "title": "设置组件值",
2507
+ "inputs": {
2508
+ "signal": "信号"
2509
+ },
2510
+ "widgets": {
2511
+ "node_id": "节点ID",
2512
+ "widget_name": "组件名称",
2513
+ "boolean_value": "布尔",
2514
+ "int_value": "整数",
2515
+ "float_value": "浮点",
2516
+ "string_value": "字符串"
2517
+ },
2518
+ "outputs": {
2519
+ "signal_opt": "信号"
2520
+ }
2521
+ },
2522
+ "ImpactNodeSetMuteState": {
2523
+ "title": "停用节点",
2524
+ "inputs": {
2525
+ "signal": "信号"
2526
+ },
2527
+ "widgets": {
2528
+ "node_id": "节点ID",
2529
+ "set_state": "状态"
2530
+ },
2531
+ "outputs": {
2532
+ "signal_opt": "信号"
2533
+ }
2534
+ },
2535
+ "ImpactSleep": {
2536
+ "title": "休眠",
2537
+ "inputs": {
2538
+ "signal": "信号"
2539
+ },
2540
+ "widgets": {
2541
+ "seconds": "秒数"
2542
+ },
2543
+ "outputs": {
2544
+ "signal_opt": "信号"
2545
+ }
2546
+ },
2547
+ "ImpactRemoteBoolean": {
2548
+ "title": "远程布尔",
2549
+ "widgets": {
2550
+ "node_id": "节点ID",
2551
+ "widget_name": "组件名称",
2552
+ "value": "值"
2553
+ }
2554
+ },
2555
+ "ImpactRemoteInt": {
2556
+ "title": "远程整数",
2557
+ "widgets": {
2558
+ "node_id": "节点ID",
2559
+ "widget_name": "组件名称",
2560
+ "value": "值"
2561
+ }
2562
+ },
2563
+ "ImpactControlBridge": {
2564
+ "title": "控制桥接",
2565
+ "inputs": {
2566
+ "value": "值"
2567
+ },
2568
+ "widgets": {
2569
+ "mode": "模式"
2570
+ },
2571
+ "outputs": {
2572
+ "value": "值"
2573
+ }
2574
+ },
2575
+
2576
+
2577
+ "ImpactCompare": {
2578
+ "title": "比较",
2579
+ "inputs": {
2580
+ "a": "A",
2581
+ "b": "B"
2582
+ },
2583
+ "widgets": {
2584
+ "cmp": "比较方法"
2585
+ },
2586
+ "outputs": {
2587
+ "BOOLEAN": "布尔"
2588
+ }
2589
+ },
2590
+ "ImpactConditionalBranch": {
2591
+ "title": "切换",
2592
+ "inputs": {
2593
+ "cond": "条件",
2594
+ "tt_value": "真",
2595
+ "ff_value": "假"
2596
+ },
2597
+ "outputs": {
2598
+ "*": "输出"
2599
+ }
2600
+ },
2601
+ "ImpactInt": {
2602
+ "title": "整数",
2603
+ "widgets": {
2604
+ "value": "值"
2605
+ },
2606
+ "outputs": {
2607
+ "INT": "整数"
2608
+ }
2609
+ },
2610
+ "ImpactFloat": {
2611
+ "title": "浮点",
2612
+ "widgets": {
2613
+ "value": "值"
2614
+ },
2615
+ "outputs": {
2616
+ "FLOAT": "浮点"
2617
+ }
2618
+ },
2619
+ "ImpactValueSender": {
2620
+ "title": "发送值",
2621
+ "inputs": {
2622
+ "value": "值"
2623
+ },
2624
+ "widgets": {
2625
+ "link_id": "连接ID"
2626
+ }
2627
+ },
2628
+ "ImpactValueReceiver": {
2629
+ "title": "接收值",
2630
+ "widgets": {
2631
+ "typ": "类型",
2632
+ "value": "值",
2633
+ "link_id": "连接ID"
2634
+ },
2635
+ "outputs": {
2636
+ "*": "输出"
2637
+ }
2638
+ },
2639
+ "ImpactNeg": {
2640
+ "title": "反转值",
2641
+ "inputs": {
2642
+ "value": "值"
2643
+ },
2644
+ "outputs": {
2645
+ "BOOLEAN": "布尔"
2646
+ }
2647
+ },
2648
+ "ImpactConditionalStopIteration": {
2649
+ "title": "条件停止迭代",
2650
+ "inputs": {
2651
+ "cond": "条件"
2652
+ }
2653
+ },
2654
+ "ImpactIsNotEmptySEGS": {
2655
+ "title": "是非空Seg",
2656
+ "inputs": {
2657
+ "cond": "条件"
2658
+ }
2659
+ },
2660
+
2661
+
2662
+
2663
+ "ImpactLogger": {
2664
+ "title": "输出日志",
2665
+ "inputs": {
2666
+ "data": "数据"
2667
+ }
2668
+ },
2669
+ "ImpactDummyInput": {
2670
+ "title": "虚拟输入",
2671
+ "outputs": {
2672
+ "*": "输出"
2673
+ }
2674
+ },
2675
+
2676
+
2677
+
2678
+ "ImpactHFTransformersClassifierProvider": {
2679
+ "title": "HFTransformer分类器",
2680
+ "widgets": {
2681
+ "preset_repo_id": "预设仓库ID",
2682
+ "manual_repo_id": "手动仓库ID",
2683
+ "device_mode": "设备模式",
2684
+ "AUTO": "自动",
2685
+ "Prefer GPU": "优先GPU",
2686
+ "CPU": "CPU"
2687
+ },
2688
+ "outputs": {
2689
+ "TRANSFORMERS_CLASSIFIER": "TF分类器"
2690
+ }
2691
+ },
2692
+ "ImpactSEGSClassify": {
2693
+ "title": "Seg分类",
2694
+ "inputs": {
2695
+ "classifier": "分类器",
2696
+ "segs": "Seg",
2697
+ "ref_image_opt": "参考图像"
2698
+ },
2699
+ "widgets": {
2700
+ "preset_expr": "预设表达式",
2701
+ "manual_expr": "手动表达式"
2702
+ },
2703
+ "outputs": {
2704
+ "filtered_SEGS": "屏蔽Seg",
2705
+ "remained_SEGS": "剩余Seg"
2706
+ }
2707
+ },
2708
+
2709
+
2710
+
2711
+
2712
+ "SAMLoader": {
2713
+ "title": "SAM加载器",
2714
+ "widgets": {
2715
+ "model_name": "模型名称",
2716
+ "device_mode": "设备模式"
2717
+ },
2718
+ "outputs": {
2719
+ "SAM_MODEL": "SAM模型"
2720
+ }
2721
+ },
2722
+ "ONNXDetectorProvider": {
2723
+ "title": "ONNX加载器",
2724
+ "widgets": {
2725
+ "model_name": "模型名称"
2726
+ },
2727
+ "outputs": {
2728
+ "ONNX_DETECTOR": "ONNX检测"
2729
+ }
2730
+ },
2731
+ "UltralyticsDetectorProvider": {
2732
+ "title": "检测加载器",
2733
+ "widgets": {
2734
+ "model_name": "模型名称"
2735
+ },
2736
+ "outputs": {
2737
+ "BBOX_DETECTOR": "BBox检测",
2738
+ "SEGM_DETECTOR": "SEGM检测"
2739
+ }
2740
+ }
2741
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Inpaint-CropAndStitch.json ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "InpaintCrop": {
3
+ "title": "局部重绘(裁剪)",
4
+ "inputs": {
5
+ "image": "图像",
6
+ "mask": "遮罩",
7
+ "optional_context_mask": "上下文遮罩(可选)"
8
+ },
9
+ "widgets": {
10
+ "context_expand_pixels": "上下文像素扩展",
11
+ "context_expand_factor": "上下文系数扩展",
12
+ "fill_mask_holes": "填充遮罩缺口",
13
+ "blur_mask_pixels": "遮罩模糊",
14
+ "invert_mask": "遮罩反转",
15
+ "blend_pixels": "混合图像",
16
+ "rescale_algorithm": "缩放算法",
17
+ "mode": "模式",
18
+ "min_width": "最小宽度",
19
+ "min_height": "最小高度",
20
+ "max_width": "最大宽度",
21
+ "max_height": "最大高度",
22
+ "force_width": "强制宽度",
23
+ "force_height": "强制高度",
24
+ "rescale_factor": "缩放系数",
25
+ "padding": "分区"
26
+ },
27
+ "outputs": {
28
+ "stitch": "接缝",
29
+ "cropeed_image": "图像",
30
+ "cropeed_mask": "遮罩"
31
+ }
32
+ },
33
+ "InpaintStitch": {
34
+ "title": "局部重绘(接缝)",
35
+ "inputs": {
36
+ "stitch": "接缝",
37
+ "inpainted_image": "图像"
38
+ },
39
+ "widgets": {
40
+ "rescale_algorithm": "缩放算法"
41
+ },
42
+ "outputs": {
43
+ "image": "图像"
44
+ }
45
+ },
46
+ "InpaintExtendOutpaint": {
47
+ "title": "局部重绘(外扩)",
48
+ "inputs": {
49
+ "image": "图像",
50
+ "mask": "遮罩",
51
+ "optional_context_mask": "上下文遮罩(可选)"
52
+ },
53
+ "widgets": {
54
+ "mode": "模式",
55
+ "expand_up_factor": "上系数",
56
+ "expand_down_factor": "下系数",
57
+ "expand_left_factor": "左系数",
58
+ "expand_right_factor": "右系数",
59
+ "expand_up_piexels": "上像素",
60
+ "expand_down_piexels": "下像素",
61
+ "expand_left_piexels": "左像素",
62
+ "expand_right_piexels": "右像素"
63
+ },
64
+ "outputs": {
65
+ "image": "图像",
66
+ "mask": "遮罩",
67
+ "context_mask": "上下文遮罩"
68
+ }
69
+ },
70
+ "InpaintResize": {
71
+ "title": "局部重绘(缩放)",
72
+ "inputs": {
73
+ "image": "图像",
74
+ "mask": "遮罩",
75
+ "optional_context_mask": "上下文遮罩(可选)"
76
+ },
77
+ "widgets": {
78
+ "rescale_algorithm": "缩放算法",
79
+ "mode": "模式",
80
+ "min_width": "最小宽度",
81
+ "min_height": "最小高度",
82
+ "rescale_factor": "缩放系数"
83
+ },
84
+ "outputs": {
85
+ "image": "图像",
86
+ "mask": "遮罩",
87
+ "context_mask": "上下文遮罩"
88
+ }
89
+ }
90
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Inspire-Pack.json ADDED
@@ -0,0 +1,1285 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "ImageBatchSplitter //Inspire": {
3
+ "title": "图像批次分割",
4
+ "inputs": {
5
+ "images": "图像"
6
+ },
7
+ "widgets": {
8
+ "split_count": "分割数量"
9
+ },
10
+ "outputs": {
11
+ "IMAGE": "图像",
12
+ "image 1": "图像_1",
13
+ "image 2": "图像_2",
14
+ "image 3": "图像_3",
15
+ "image 4": "图像_4",
16
+ "image 5": "图像_5",
17
+ "image 6": "图像_6",
18
+ "image 7": "图像_7",
19
+ "image 8": "图像_8",
20
+ "image 9": "图像_9",
21
+ "image 10": "图像_10",
22
+ "image 11": "图像_11",
23
+ "image 12": "图像_12",
24
+ "image 13": "图像_13",
25
+ "image 14": "图像_14",
26
+ "image 15": "图像_15",
27
+ "image 16": "图像_16",
28
+ "image 17": "图像_17",
29
+ "image 18": "图像_18",
30
+ "image 19": "图像_19",
31
+ "image 20": "图像_20",
32
+ "image 21": "图像_21",
33
+ "image 22": "图像_22",
34
+ "image 23": "图像_23",
35
+ "image 24": "图像_24",
36
+ "image 25": "图像_25",
37
+ "image 26": "图像_26",
38
+ "image 27": "图像_27",
39
+ "image 28": "图像_28",
40
+ "image 29": "图像_29",
41
+ "image 30": "图像_30",
42
+ "image 31": "图像_31",
43
+ "image 32": "图像_32",
44
+ "image 33": "图像_33",
45
+ "image 34": "图像_34",
46
+ "image 35": "图像_35",
47
+ "image 36": "图像_36",
48
+ "image 37": "图像_37",
49
+ "image 38": "图像_38",
50
+ "image 39": "图像_39",
51
+ "image 40": "图像_40",
52
+ "image 41": "图像_41",
53
+ "image 42": "图像_42",
54
+ "image 43": "图像_43",
55
+ "image 44": "图像_44",
56
+ "image 45": "图像_45",
57
+ "image 46": "图像_46",
58
+ "image 47": "图像_47",
59
+ "image 48": "图像_48",
60
+ "image 49": "图像_49",
61
+ "image 50": "图像_50",
62
+ "remained": "剩余"
63
+ }
64
+ },
65
+ "LatentBatchSplitter //Inspire": {
66
+ "title": "Latent批次分割",
67
+ "inputs": {
68
+ "latent": "Latent"
69
+ },
70
+ "widgets": {
71
+ "split_count": "分割数量"
72
+ },
73
+ "outputs": {
74
+ "LATENT": "Latent",
75
+ "latent 1": "Laten_1",
76
+ "latent 2": "Laten_2",
77
+ "latent 3": "Laten_3",
78
+ "latent 4": "Laten_4",
79
+ "latent 5": "Laten_5",
80
+ "latent 6": "Laten_6",
81
+ "latent 7": "Laten_7",
82
+ "latent 8": "Laten_8",
83
+ "latent 9": "Laten_9",
84
+ "latent 10": "Latent_10",
85
+ "latent 11": "Latent_11",
86
+ "latent 12": "Latent_12",
87
+ "latent 13": "Latent_13",
88
+ "latent 14": "Latent_14",
89
+ "latent 15": "Latent_15",
90
+ "latent 16": "Latent_16",
91
+ "latent 17": "Latent_17",
92
+ "latent 18": "Latent_18",
93
+ "latent 19": "Latent_19",
94
+ "latent 20": "Latent_20",
95
+ "latent 21": "Latent_21",
96
+ "latent 22": "Latent_22",
97
+ "latent 23": "Latent_23",
98
+ "latent 24": "Latent_24",
99
+ "latent 25": "Latent_25",
100
+ "latent 26": "Latent_26",
101
+ "latent 27": "Latent_27",
102
+ "latent 28": "Latent_28",
103
+ "latent 29": "Latent_29",
104
+ "latent 30": "Latent_30",
105
+ "latent 31": "Latent_31",
106
+ "latent 32": "Latent_32",
107
+ "latent 33": "Latent_33",
108
+ "latent 34": "Latent_34",
109
+ "latent 35": "Latent_35",
110
+ "latent 36": "Latent_36",
111
+ "latent 37": "Latent_37",
112
+ "latent 38": "Latent_38",
113
+ "latent 39": "Latent_39",
114
+ "latent 40": "Latent_40",
115
+ "latent 41": "Latent_41",
116
+ "latent 42": "Latent_42",
117
+ "latent 43": "Latent_43",
118
+ "latent 44": "Latent_44",
119
+ "latent 45": "Latent_45",
120
+ "latent 46": "Latent_46",
121
+ "latent 47": "Latent_47",
122
+ "latent 48": "Latent_48",
123
+ "latent 49": "Latent_49",
124
+ "latent 50": "Latent_50",
125
+ "remained": "剩余"
126
+ }
127
+ },
128
+ "XY Input: Lora Block Weight //Inspire": {
129
+ "title": "XY输入:LoRA分层权重",
130
+ "widgets": {
131
+ "category_filter": "标签过滤",
132
+ "lora_name": "LoRA名称",
133
+ "strength_model": "模型强度",
134
+ "strength_clip": "CLIP强度",
135
+ "inverse": "反转",
136
+ "seed": "随机种",
137
+ "control_after_generate": "运行后操作",
138
+ "A": "A",
139
+ "B": "B",
140
+ "preset": "预设",
141
+ "block_vector": "层权重",
142
+ "heatmap_palette": "热度选项",
143
+ "cividis": "cividis",
144
+ "inferno": "炼狱",
145
+ "plasma": "等离子",
146
+ "magma": "岩浆",
147
+ "viridis": "翠绿",
148
+ "heatmap_alpha": "热度透明",
149
+ "heatmap_strength": "热度强度",
150
+ "xyplot_mode": "XY模式",
151
+ "Simple": "简易",
152
+ "Diff": "差值",
153
+ "Diff+Heatmap": "差值+热度"
154
+ },
155
+ "outputs": {
156
+ "X (vectors)": "X (向量)",
157
+ "Y (effect_compares)": "Y (效果)"
158
+ }
159
+ },
160
+ "LoraLoaderBlockWeight //Inspire": {
161
+ "title": "LoRA加载器(分层)",
162
+ "inputs": {
163
+ "model": "模型",
164
+ "clip": "CLIP"
165
+ },
166
+ "widgets": {
167
+ "category_filter": "标签过滤",
168
+ "lora_name": "LoRA名称",
169
+ "strength_model": "模型强度",
170
+ "strength_clip": "CLIP强度",
171
+ "inverse": "反转",
172
+ "seed": "随机种",
173
+ "control_after_generate": "运行后操作",
174
+ "A": "A",
175
+ "B": "B",
176
+ "preset": "预设",
177
+ "block_vectors": "层权重",
178
+ "bypass": "停用"
179
+ },
180
+ "outputs": {
181
+ "model": "模型",
182
+ "clip": "CLIP",
183
+ "populated_vector": "填充向量"
184
+ }
185
+ },
186
+ "LoraBlockInfo //Inspire": {
187
+ "title": "LoRA分层信息",
188
+ "inputs": {
189
+ "model": "模型",
190
+ "clip": "CLIP"
191
+ },
192
+ "widgets": {
193
+ "lora_name": "LoRA名称",
194
+ "block_info": "层信息"
195
+ }
196
+ },
197
+ "IPAdapterModelHelper //Inspire": {
198
+ "title": "IPAdapter模型助手",
199
+ "inputs": {
200
+ "model": "模型",
201
+ "clip": "CLIP"
202
+ },
203
+ "widgets": {
204
+ "preset": "预设",
205
+ "lora_strength_model": "LoRA模型权重",
206
+ "lora_strength_clip": "LoRACLIP权重",
207
+ "insightface_provider": "InsightFace设备",
208
+ "cache_mode": "缓存模式"
209
+ },
210
+ "outputs": {
211
+ "IPADAPTER_PIPE": "IPAdapter束",
212
+ "IPADAPTER": "IPAdapter",
213
+ "CLIP_VISION": "CLIP视觉",
214
+ "INSIGHTFACE": "InsightFace",
215
+ "MODEL": "模型",
216
+ "CLIP": "CLIP",
217
+ "insightface_cache_key": "InsightFace缓存键",
218
+ "clip_vision_cache_key": "CLIP视觉缓存键"
219
+ }
220
+ },
221
+
222
+
223
+
224
+
225
+ "OpenPose_Preprocessor_Provider_for_SEGS //Inspire": {
226
+ "title": "OpenPose预处理(Seg)",
227
+ "widgets": {
228
+ "detect_hand": "检测手部",
229
+ "detect_body": "检测身体",
230
+ "detect_face": "检测面部",
231
+ "resolution_upscale": "分辨率放大"
232
+ },
233
+ "outputs": {
234
+ "SEGS_PREPROCESSOR": "Seg预处理"
235
+ }
236
+ },
237
+ "DWPreprocessor_Provider_for_SEGS //Inspire": {
238
+ "title": "DWPose预处理(Seg)",
239
+ "widgets": {
240
+ "detect_hand": "检测手部",
241
+ "detect_body": "检测身体",
242
+ "detect_face": "检测面部",
243
+ "resolution_upscale": "分辨率放大"
244
+ },
245
+ "outputs": {
246
+ "SEGS_PREPROCESSOR": "Seg预处理"
247
+ }
248
+ },
249
+ "MiDaS_DepthMap_Preprocessor_Provider_for_SEGS //Inspire": {
250
+ "title": "MiDaS深度预处理(Seg)",
251
+ "widgets": {
252
+ "a": "角度",
253
+ "bg_threshold": "背景阈值"
254
+ },
255
+ "outputs": {
256
+ "SEGS_PREPROCESSOR": "Seg预处理"
257
+ }
258
+ },
259
+ "LeRes_DepthMap_Preprocessor_Provider_for_SEGS //Inspire": {
260
+ "title": "LeRes深度预处理(Seg)",
261
+ "widgets": {
262
+ "rm_nearest": "移除近景",
263
+ "rm_background": "移除背景",
264
+ "boost": "增强"
265
+ },
266
+ "outputs": {
267
+ "SEGS_PREPROCESSOR": "Seg预处理"
268
+ }
269
+ },
270
+ "Canny_Preprocessor_Provider_for_SEGS //Inspire": {
271
+ "title": "Canny预处理(Seg)",
272
+ "widgets": {
273
+ "low_threshold": "低阈值",
274
+ "high_threshold": "高阈值"
275
+ },
276
+ "outputs": {
277
+ "SEGS_PREPROCESSOR": "Seg预处理"
278
+ }
279
+ },
280
+ "MediaPipe_FaceMesh_Preprocessor_Provider_for_SEGS //Inspire": {
281
+ "title": "MediaPipe面部网格预处理(Seg)",
282
+ "widgets": {
283
+ "max_faces": "最大面部数量",
284
+ "min_confidence": "最小置信度",
285
+ "resolution_upscale": "分辨率放大"
286
+ },
287
+ "outputs": {
288
+ "SEGS_PREPROCESSOR": "Seg预处理"
289
+ }
290
+ },
291
+ "MediaPipeFaceMeshDetectorProvider //Inspire": {
292
+ "title": "MediaPipe面部网格检测",
293
+ "widgets": {
294
+ "max_faces": "最大面部数量",
295
+ "face": "面部",
296
+ "mouth": "嘴部",
297
+ "left_eyebrow": "左眉毛",
298
+ "left_eye": "左眼",
299
+ "left_pupil": "左瞳孔",
300
+ "right_eyebrow": "右眉毛",
301
+ "right_eye": "右眼",
302
+ "right_pupil": "右瞳孔"
303
+ },
304
+ "outputs": {
305
+ "BBOX_DETECTOR": "BBox检测",
306
+ "SEGM_DETECTOR": "SEGM检测"
307
+ }
308
+ },
309
+ "HEDPreprocessor_Provider_for_SEGS //Inspire": {
310
+ "title": "HED预处理(Seg)",
311
+ "widgets": {
312
+ "safe": "增稳"
313
+ },
314
+ "outputs": {
315
+ "SEGS_PREPROCESSOR": "Seg预处理"
316
+ }
317
+ },
318
+ "FakeScribblePreprocessor_Provider_for_SEGS //Inspire": {
319
+ "title": "FakeScribble预处理(Seg)",
320
+ "widgets": {
321
+ "safe": "增稳"
322
+ },
323
+ "outputs": {
324
+ "SEGS_PREPROCESSOR": "Seg预处理"
325
+ }
326
+ },
327
+ "AnimeLineArt_Preprocessor_Provider_for_SEGS //Inspire": {
328
+ "title": "AnimeLineArt预处理(Seg)",
329
+ "outputs": {
330
+ "SEGS_PREPROCESSOR": "Seg预处理"
331
+ }
332
+ },
333
+ "Manga2Anime_LineArt_Preprocessor_Provider_for_SEGS //Inspire": {
334
+ "title": "Manga2Anime_LineArt预处理(Seg)",
335
+ "outputs": {
336
+ "SEGS_PREPROCESSOR": "Seg预处理"
337
+ }
338
+ },
339
+ "LineArt_Preprocessor_Provider_for_SEGS //Inspire": {
340
+ "title": "LineArt预处理(Seg)",
341
+ "widgets": {
342
+ "coarse": "粗糙化"
343
+ },
344
+ "outputs": {
345
+ "SEGS_PREPROCESSOR": "Seg预处理"
346
+ }
347
+ },
348
+ "Color_Preprocessor_Provider_for_SEGS //Inspire": {
349
+ "title": "Color预处理(Seg)",
350
+ "outputs": {
351
+ "SEGS_PREPROCESSOR": "Seg预处理"
352
+ }
353
+ },
354
+ "InpaintPreprocessor_Provider_for_SEGS //Inspire": {
355
+ "title": "Inpaint预处理(Seg)",
356
+ "outputs": {
357
+ "SEGS_PREPROCESSOR": "Seg预处理"
358
+ }
359
+ },
360
+ "TilePreprocessor_Provider_for_SEGS //Inspire": {
361
+ "title": "Tile预处理(Seg)",
362
+ "widgets": {
363
+ "pyrUp_iter": "迭代次数"
364
+ },
365
+ "outputs": {
366
+ "SEGS_PREPROCESSOR": "Seg预处理"
367
+ }
368
+ },
369
+ "MeshGraphormerDepthMapPreprocessorProvider_for_SEGS //Inspire": {
370
+ "title": "MeshGraphormer深度预处理器(Seg)",
371
+ "outputs": {
372
+ "SEGS_PREPROCESSOR": "Seg预处理"
373
+ }
374
+ },
375
+
376
+
377
+
378
+ "KSampler //Inspire": {
379
+ "title": "K采样器(Inspire)",
380
+ "inputs": {
381
+ "model": "模型",
382
+ "positive": "正面条件",
383
+ "negative": "负面条件",
384
+ "latent_image": "Latent"
385
+ },
386
+ "widgets": {
387
+ "seed": "随机种",
388
+ "control_after_generate": "运行后操作",
389
+ "fixed": "固定",
390
+ "increment": "增加",
391
+ "decrement": "减少",
392
+ "randomize": "随机",
393
+ "steps": "步数",
394
+ "cfg": "CFG",
395
+ "sampler_name": "采样器",
396
+ "scheduler": "调度器",
397
+ "denoise": "降噪",
398
+ "noise_mode": "噪波模式"
399
+ },
400
+ "outputs": {
401
+ "LATENT": "Latent"
402
+ }
403
+ },
404
+ "KSamplerAdvanced //Inspire": {
405
+ "title": "K采样器(高级Inspire)",
406
+ "inputs": {
407
+ "model": "模型",
408
+ "positive": "正面条件",
409
+ "negative": "负面条件",
410
+ "latent_image": "Latent"
411
+ },
412
+ "widgets": {
413
+ "add_noise": "添加噪波",
414
+ "noise_seed": "随机种",
415
+ "control_after_generate": "运行后操作",
416
+ "fixed": "固定",
417
+ "increment": "增加",
418
+ "decrement": "减少",
419
+ "randomize": "随机",
420
+ "steps": "步数",
421
+ "cfg": "CFG",
422
+ "sampler_name": "采样器",
423
+ "scheduler": "调度器",
424
+ "denoise": "降噪",
425
+ "start_at_step": "开始降噪步数",
426
+ "end_at_step": "结束降噪步数",
427
+ "noise_mode": "噪波模式",
428
+ "return_with_leftover_noise": "返回噪波"
429
+ },
430
+ "outputs": {
431
+ "LATENT": "Latent"
432
+ }
433
+ },
434
+ "KSamplerPipe //Inspire": {
435
+ "title": "K采样器(Inspire)",
436
+ "inputs": {
437
+ "basic_pipe": "基础节点束",
438
+ "latent_image": "Latent"
439
+ },
440
+ "widgets": {
441
+ "seed": "随机种",
442
+ "control_after_generate": "运行后操作",
443
+ "fixed": "固定",
444
+ "increment": "增加",
445
+ "decrement": "减少",
446
+ "randomize": "随机",
447
+ "steps": "步数",
448
+ "cfg": "CFG",
449
+ "sampler_name": "采样器",
450
+ "scheduler": "调度器",
451
+ "denoise": "降噪",
452
+ "noise_mode": "噪波模式",
453
+ "batch_seed_mode": "批次随机种模式",
454
+ "variation_seed": "随机种变异",
455
+ "variation_strength": "变异强度"
456
+ },
457
+ "outputs": {
458
+ "LATENT": "Latent"
459
+ }
460
+ },
461
+ "KSamplerAdvancedPipe //Inspire": {
462
+ "title": "K采样器(高级Inspire)",
463
+ "inputs": {
464
+ "basic_pipe": "基础节点束",
465
+ "latent_image": "Latent"
466
+ },
467
+ "widgets": {
468
+ "add_noise": "添加噪波",
469
+ "noise_seed": "随机种",
470
+ "control_after_generate": "运行后操作",
471
+ "fixed": "固定",
472
+ "increment": "增加",
473
+ "decrement": "减少",
474
+ "randomize": "随机",
475
+ "steps": "步数",
476
+ "cfg": "CFG",
477
+ "sampler_name": "采样器",
478
+ "scheduler": "调度器",
479
+ "denoise": "降噪",
480
+ "start_at_step": "开始降噪步数",
481
+ "end_at_step": "结束降噪步数",
482
+ "noise_mode": "噪波模式",
483
+ "return_with_leftover_noise": "返回噪波",
484
+ "batch_seed_mode": "批次随机种模式",
485
+ "variation_seed": "随机种变异",
486
+ "variation_strength": "变异强度"
487
+ },
488
+ "outputs": {
489
+ "LATENT": "Latent"
490
+ }
491
+ },
492
+
493
+
494
+
495
+ "LoadPromptsFromDir //Inspire": {
496
+ "title": "加载提示词(路径)",
497
+ "widgets": {
498
+ "prompt": "提示词"
499
+ },
500
+ "outputs": {
501
+ "ZIPPED_PROMPT": "提示词包"
502
+ }
503
+ },
504
+ "LoadPromptsFromFile //Inspire": {
505
+ "title": "加载提示词(文件)",
506
+ "wdigets": {
507
+ "prompt": "提示词"
508
+ },
509
+ "outputs": {
510
+ "ZIPPED_PROMPT": "提示词包"
511
+ }
512
+ },
513
+ "LoadSinglePromptFromFile //Inspire": {
514
+ "title": "加载单独提示词(文件)",
515
+ "wdigets": {
516
+ "prompt": "提示词",
517
+ "index": "序号"
518
+ },
519
+ "outputs": {
520
+ "ZIPPED_PROMPT": "提示词包"
521
+ }
522
+ },
523
+ "UnzipPrompt //Inspire": {
524
+ "title": "解包提示词",
525
+ "inputs": {
526
+ "zipped_prompt": "提示词包"
527
+ },
528
+ "outputs": {
529
+ "positive": "正面条件",
530
+ "negative": "负面条件",
531
+ "name": "名称"
532
+ }
533
+ },
534
+ "ZipPrompt //Inspire": {
535
+ "title": "打包提示词",
536
+ "widgets": {
537
+ "positive": "正面条件",
538
+ "negative": "负面条件",
539
+ "name": "名称"
540
+ },
541
+ "outputs": {
542
+ "ZIPPED_PROMPT": "提示词包"
543
+ }
544
+ },
545
+ "PromptExtractor //Inspire": {
546
+ "title": "提取提示词",
547
+ "widgets": {
548
+ "image": "图像",
549
+ "positive": "正面条件",
550
+ "negative": "负面条件",
551
+ "info": "信息"
552
+ },
553
+ "outputs": {
554
+ "positive": "正面条件",
555
+ "negative": "负面条件"
556
+ }
557
+ },
558
+ "PromptBuilder //Inspire": {
559
+ "title": "提示词搭建",
560
+ "widgets": {
561
+ "category": "类型",
562
+ "picture quality": "质量",
563
+ "Compositiong form": "构图",
564
+ "angle of view": "视角",
565
+ "shot": "镜头",
566
+ "style": "风格",
567
+ "picture effect": "效果",
568
+ "preset": "预设",
569
+ "text": "文本"
570
+ },
571
+ "outputs": {
572
+ "STRING": "字符串"
573
+ }
574
+ },
575
+ "SeedExplorer //Inspire": {
576
+ "title": "随机种管理器",
577
+ "inputs": {
578
+ "latent": "Latent"
579
+ },
580
+ "widgets": {
581
+ "seed_prompt": "随机种提示词",
582
+ "enable_additional": "启用拓展",
583
+ "additional_seed": "拓展随机种",
584
+ "additional_strength": "拓展强度",
585
+ "noise_mode": "噪波模式",
586
+ "initial_batch_seed_mode": "批次随机种模式"
587
+ },
588
+ "outputs": {
589
+ "noise": "噪波"
590
+ }
591
+ },
592
+ "MakeBasicPipe //Inspire": {
593
+ "title": "制作基础节点树",
594
+ "inputs": {
595
+ "vae_opt": "VAE"
596
+ },
597
+ "widgets": {
598
+ "ckpt_name": "模型名称",
599
+ "positive_wildcard_text": "正面通配文本",
600
+ "negative_wildcard_text": "负面通配文本",
601
+ "Add selection to": "添加选择项到正面",
602
+ "Select to add LoRA": "添加LoRA",
603
+ "Select to add Wildcard": "添加通配符",
604
+ "wildcard_mode": "通配符模式",
605
+ "positive_populated_text": "正面通配填充",
606
+ "negative_populated_text": "负面通配填充",
607
+ "token_normalization": "Token规格化",
608
+ "weight_interpolation": "权重插值方式",
609
+ "stop_at_clip_layer": "CLIP停止层",
610
+ "seed": "随机种",
611
+ "control_after_generate": "运行后操作"
612
+ },
613
+ "outputs": {
614
+ "BASIC_PIPE": "基础节点束"
615
+ }
616
+ },
617
+
618
+
619
+
620
+ "LoadImage //Inspire": {
621
+ "title": "加载图像(Inspire)",
622
+ "widgets": {
623
+ "image": "图像",
624
+ "image_data": "图像数据"
625
+ },
626
+ "outputs": {
627
+ "IMAGE": "图像",
628
+ "MASK": "遮罩"
629
+ }
630
+ },
631
+ "ChangeImageBatchSize //Inspire": {
632
+ "title": "修改图像批次大小",
633
+ "inputs": {
634
+ "image": "图像"
635
+ },
636
+ "widgets": {
637
+ "batch_size": "批次大小",
638
+ "mode": "模式"
639
+ },
640
+ "outputs": {
641
+ "IMAGE": "图像"
642
+ }
643
+ },
644
+ "ChangeLatnetBatchSize //Inspire": {
645
+ "title": "修改Latent批次大小",
646
+ "inputs": {
647
+ "latent": "Latent"
648
+ },
649
+ "widgets": {
650
+ "batch_size": "批次大小",
651
+ "mode": "模式"
652
+ },
653
+ "outputs": {
654
+ "LATENT": "Latent"
655
+ }
656
+ },
657
+
658
+
659
+
660
+ "ListCounter //Inspire": {
661
+ "title": "列表计数",
662
+ "inputs": {
663
+ "signal": "值"
664
+ },
665
+ "widgets": {
666
+ "base_value": "基值"
667
+ },
668
+ "outputs": {
669
+ "INT": "整数"
670
+ }
671
+ },
672
+ "CLIPTextEncodeWithWeight //Inspire": {
673
+ "title": "CLIP文本编码(权重)",
674
+ "inputs": {
675
+ "clip": "CLIP"
676
+ },
677
+ "widgets": {
678
+ "text": "文本",
679
+ "strength": "强度",
680
+ "add_weight": "附加权重"
681
+ },
682
+ "outputs": {
683
+ "CONDITIONING": "条件"
684
+ }
685
+ },
686
+ "RandomGeneratorForList //Inspire": {
687
+ "title": "随机列表生成器",
688
+ "inputs": {
689
+ "signal": "信号"
690
+ },
691
+ "widgets": {
692
+ "seed": "随机种",
693
+ "control_after_generate": "运行后操作"
694
+ },
695
+ "outputs": {
696
+ "signal": "信号",
697
+ "random_value": "值"
698
+ }
699
+ },
700
+ "RemoveControlNet //Inspire": {
701
+ "title": "移除ControlNet",
702
+ "inputs": {
703
+ "conditioning": "条件"
704
+ },
705
+ "outputs": {
706
+ "CONDITIONING": "条件"
707
+ }
708
+ },
709
+ "RemoveControlNetFromRegionalPrompts //Inspire": {
710
+ "title": "移除ControlNet区域提示词",
711
+ "inputs": {
712
+ "regional_prompts": "区域提示词"
713
+ },
714
+ "outputs": {
715
+ "REGIONAL_PROMPTS": "区域提示词"
716
+ }
717
+ },
718
+ "FromIPAdapterPipe //Inspire": {
719
+ "title": "从IPAdapter",
720
+ "inputs": {
721
+ "ipadapter_pipe": "IPAdapter束"
722
+ },
723
+ "outputs": {
724
+ "IPADAPTER": "IPAdapter",
725
+ "CLIP_VISION": "CLIP视觉",
726
+ "MODEL": "模型"
727
+ }
728
+ },
729
+ "ToIPAdapterPipe //Inspire": {
730
+ "title": "到IPAdapter",
731
+ "inputs": {
732
+ "ipadapter": "IPAdapter",
733
+ "clip_vision": "CLIP视觉",
734
+ "model": "模型"
735
+ },
736
+ "outputs": {
737
+ "IPADAPTER_PIPE": "IPAdapter束"
738
+ }
739
+ },
740
+
741
+
742
+
743
+ "KSamplerProgress //Inspire": {
744
+ "title": "K采样器(过程)",
745
+ "inputs": {
746
+ "model": "模型",
747
+ "positive": "正面条件",
748
+ "negative": "负面条件",
749
+ "latent_image": "Latent"
750
+ },
751
+ "widgets": {
752
+ "seed": "随机种",
753
+ "control_after_generate": "运行后操作",
754
+ "fixed": "固定",
755
+ "increment": "增加",
756
+ "decrement": "减少",
757
+ "randomize": "随机",
758
+ "steps": "步数",
759
+ "cfg": "CFG",
760
+ "sampler_name": "采样器",
761
+ "scheduler": "调度器",
762
+ "denoise": "降噪",
763
+ "noise_mode": "噪波模式",
764
+ "interval": "间隔",
765
+ "omit_start_latent": "忽略起始Latent"
766
+ },
767
+ "outputs": {
768
+ "latent": "Latent",
769
+ "progress_latent": "过程Latent"
770
+ }
771
+ },
772
+ "KSamplerAdvancedProgress //Inspire": {
773
+ "title": "K采样器(高级过程)",
774
+ "inputs": {
775
+ "model": "模型",
776
+ "positive": "正面条件",
777
+ "negative": "负面条件",
778
+ "latent_image": "Latent",
779
+ "prev_progress_latent_opt": "前过程Latent"
780
+ },
781
+ "widgets": {
782
+ "add_noise": "添加噪波",
783
+ "noise_seed": "随机种",
784
+ "control_after_generate": "运行后操作",
785
+ "fixed": "固定",
786
+ "increment": "增加",
787
+ "decrement": "减少",
788
+ "randomize": "随机",
789
+ "steps": "步数",
790
+ "cfg": "CFG",
791
+ "sampler_name": "采样器",
792
+ "scheduler": "调度器",
793
+ "denoise": "降噪",
794
+ "start_at_step": "开始降噪步数",
795
+ "end_at_step": "结束降噪步数",
796
+ "noise_mode": "噪波模式",
797
+ "return_with_leftover_noise": "返回噪波",
798
+ "interval": "间隔",
799
+ "omit_start_latent": "忽略起始Latent"
800
+ },
801
+ "outputs": {
802
+ "latent": "Latent",
803
+ "progress_latent": "过程Latent"
804
+ }
805
+ },
806
+
807
+
808
+
809
+ "CacheBackendData //Inspire": {
810
+ "title": "缓存后端数据(字符串键)",
811
+ "inputs": {
812
+ "data": "数据"
813
+ },
814
+ "widgets": {
815
+ "key": "键",
816
+ "tag": "数据标签"
817
+ },
818
+ "outputs": {
819
+ "data opt": "数据"
820
+ }
821
+ },
822
+ "CacheBackendDataNumberKey //Inspire": {
823
+ "title": "缓存后端数据(数字键)",
824
+ "inputs": {
825
+ "data": "数据"
826
+ },
827
+ "widgets": {
828
+ "key": "键",
829
+ "tag": "数据标签"
830
+ },
831
+ "outputs": {
832
+ "data opt": "数据"
833
+ }
834
+ },
835
+ "RetrieveBackendData //Inspire": {
836
+ "title": "检索后端数据(字符串键)",
837
+ "widgets": {
838
+ "key": "键"
839
+ },
840
+ "outputs": {
841
+ "data": "数据"
842
+ }
843
+ },
844
+ "RetrieveBackendDataNumberKey //Inspire": {
845
+ "title": "检索后端数据(数字键)",
846
+ "widgets": {
847
+ "key": "键"
848
+ },
849
+ "outputs": {
850
+ "data": "数据"
851
+ }
852
+ },
853
+ "RemoveBackendData //Inspire": {
854
+ "title": "移除后端数据(字符串键)",
855
+ "inputs": {
856
+ "signal_opt": "值(可选)"
857
+ },
858
+ "widgets": {
859
+ "key": "键"
860
+ },
861
+ "outputs": {
862
+ "signal": "值"
863
+ }
864
+ },
865
+ "RemoveBackendDataNumberKey //Inspire": {
866
+ "title": "移除后端数据(数字键)",
867
+ "inputs": {
868
+ "signal_opt": "信号"
869
+ },
870
+ "widgets": {
871
+ "key": "键"
872
+ },
873
+ "outputs": {
874
+ "signal": "值"
875
+ }
876
+ },
877
+ "ShowCachedInfo //Inspire": {
878
+ "title": "显示缓存信息",
879
+ "widgets": {
880
+ "cache_info": "缓存信息"
881
+ }
882
+ },
883
+ "CacheBackendDataList //Inspire": {
884
+ "title": "后端缓存数据列表",
885
+ "inputs": {
886
+ "data": "数据"
887
+ },
888
+ "widgets": {
889
+ "key": "键",
890
+ "tag": "数据标签"
891
+ },
892
+ "outputs": {
893
+ "data opt": "数据"
894
+ }
895
+ },
896
+ "CacheBackendDataNumberKeyList //Inspire": {
897
+ "title": "后端缓存数字键列表",
898
+ "inputs": {
899
+ "data": "数据"
900
+ },
901
+ "widgets": {
902
+ "key": "键",
903
+ "tag": "数据标签"
904
+ },
905
+ "outputs": {
906
+ "data opt": "数据"
907
+ }
908
+ },
909
+
910
+
911
+
912
+ "GlobalSeed //Inspire": {
913
+ "title": "全局随机种",
914
+ "widgets": {
915
+ "value": "值(明度)",
916
+ "mode": "模式",
917
+ "action": "行为",
918
+ "fixed": "固定",
919
+ "increment": "增加",
920
+ "decrement": "减少",
921
+ "randomize": "随机",
922
+ "increment for each node": "每个节点增加",
923
+ "decrement for each node": "每个节点减少",
924
+ "randomize for each node": "每个节点随机",
925
+ "last_seed": "上个随机种"
926
+ }
927
+ },
928
+ "GlobalSampler //Inspire": {
929
+ "title": "全局采样器",
930
+ "widgets": {
931
+ "sampler_name": "采样器",
932
+ "scheduler": "调度器"
933
+ }
934
+ },
935
+ "WildcardEncode //Inspire": {
936
+ "title": "通配符编码",
937
+ "inputs": {
938
+ "model": "模型",
939
+ "clip": "CLIP"
940
+ },
941
+ "widgets": {
942
+ "token_normalization": "Token规格化",
943
+ "weight_interpolation": "权重插值方式",
944
+ "wildcard_text": "通配文本",
945
+ "populated_text": "填充文本",
946
+ "mode": "模式",
947
+ "Select to add LoRA": "添加LoRA",
948
+ "Select the LoRA to add to the text": "选择LoRA",
949
+ "Select to add Wildcard": "添加通配符",
950
+ "Select the Wildcard to add to the text": "选择通配符",
951
+ "seed": "随机种",
952
+ "control_after_generate": "运行后操作",
953
+ "fixed": "固定",
954
+ "increment": "增加",
955
+ "decrement": "减少",
956
+ "randomize": "随机"
957
+ },
958
+ "outputs": {
959
+ "model": "模型",
960
+ "clip": "CLIP",
961
+ "conditioning": "条件",
962
+ "populated_text": "填充文本"
963
+ }
964
+ },
965
+ "BindImageListPromptList //Inspire": {
966
+ "title": "绑定图像提示词列表",
967
+ "inputs": {
968
+ "images": "图像",
969
+ "zipped_prompt": "提示词包",
970
+ "zipped_prompts": "提示词包"
971
+ },
972
+ "widgets": {
973
+ "default_positive": "默认正面条件",
974
+ "default_negative": "默认负面条件"
975
+ },
976
+ "outputs": {
977
+ "image": "图像",
978
+ "positive": "正面条件",
979
+ "negative": "负面条件",
980
+ "prompt_label": "提示词标签"
981
+ }
982
+ },
983
+
984
+
985
+
986
+
987
+ "LoadImagesFromDir //Inspire": {
988
+ "title": "加载图像(路径)",
989
+ "widgets": {
990
+ "directory": "路径",
991
+ "image_load_cap": "图像加载上限",
992
+ "start_index": "起始索引"
993
+ },
994
+ "outputs": {
995
+ "IMAGE": "图像",
996
+ "MASK": "遮罩",
997
+ "INT": "整数"
998
+ }
999
+ },
1000
+ "LoadImageListFromDir //Inspire": {
1001
+ "title": "加载图像列表(路径)",
1002
+ "widgets": {
1003
+ "directory": "路径",
1004
+ "image_load_cap": "图像加载上限",
1005
+ "start_index": "起始索引"
1006
+ },
1007
+ "outputs": {
1008
+ "IMAGE": "图像",
1009
+ "MASK": "遮罩"
1010
+ }
1011
+ },
1012
+
1013
+
1014
+ "RegionalPromptSimple //Inspire": {
1015
+ "title": "区域提示词(简易)",
1016
+ "inputs": {
1017
+ "basic_pipe": "基础束",
1018
+ "mask": "遮罩"
1019
+ },
1020
+ "widgets": {
1021
+ "cfg": "CFG",
1022
+ "sampler_name": "采样器",
1023
+ "scheduler": "调度器",
1024
+ "wildcard_prompt": "通配符提示词"
1025
+ },
1026
+ "outputs": {
1027
+ "REGIONAL_PROMPTS": "区域提示词"
1028
+ }
1029
+ },
1030
+ "RegionalPromptColorMask //Inspire": {
1031
+ "title": "区域提示词(颜色遮罩)",
1032
+ "inputs": {
1033
+ "basic_pipe": "基础束",
1034
+ "color_mask": "图像遮罩"
1035
+ },
1036
+ "widgets": {
1037
+ "mask_color": "遮罩颜色",
1038
+ "cfg": "CFG",
1039
+ "sampler_name": "采样器",
1040
+ "scheduler": "调度器",
1041
+ "wildcard_prompt": "通配符提示词"
1042
+ },
1043
+ "outputs": {
1044
+ "REGIONAL_PROMPTS": "区域提示词",
1045
+ "MASK": "遮罩"
1046
+ }
1047
+ },
1048
+ "RegionalConditioningSimple //Inspire": {
1049
+ "title": "区域条件(简易)",
1050
+ "inputs": {
1051
+ "clip": "CLIP",
1052
+ "mask": "遮罩"
1053
+ },
1054
+ "widgets": {
1055
+ "strength": "强度",
1056
+ "set_cond_area": "设置条件区域",
1057
+ "prompt": "提示词"
1058
+ },
1059
+ "outputs": {
1060
+ "CONDITIONING": "条件"
1061
+ }
1062
+ },
1063
+ "RegionalConditioningColorMask //Inspire": {
1064
+ "title": "区域条件(颜色遮罩)",
1065
+ "inputs": {
1066
+ "clip": "CLIP",
1067
+ "color_mask": "图像遮罩"
1068
+ },
1069
+ "widgets": {
1070
+ "mask_color": "遮罩颜色",
1071
+ "strength": "强度",
1072
+ "set_cond_area": "设置条件区域",
1073
+ "prompt": "提示词"
1074
+ },
1075
+ "outputs": {
1076
+ "CONDITIONING": "条件",
1077
+ "MASK": "遮罩"
1078
+ }
1079
+ },
1080
+ "RegionalIPAdapterMask //Inspire": {
1081
+ "title": "区域IPAdapter",
1082
+ "inputs": {
1083
+ "ipadapter_pipe": "IPAdapter束",
1084
+ "mask": "遮罩",
1085
+ "images": "图像"
1086
+ },
1087
+ "widgets": {
1088
+ "weight": "权重",
1089
+ "noise": "噪波",
1090
+ "weight_interpolation": "权重插值方式",
1091
+ "original": "初始",
1092
+ "linear": "线性",
1093
+ "channel penalty": "通道惩罚"
1094
+ },
1095
+ "outputs": {
1096
+ "IPADAPTER_PIPE": "IPAdapter束",
1097
+ "MODEL": "模型"
1098
+ }
1099
+ },
1100
+ "RegionalIPAdapterColorMask //Inspire": {
1101
+ "title": "区域IPAdapter(颜色遮罩)",
1102
+ "inputs": {
1103
+ "ipadapter_pipe": "IPAdapter束",
1104
+ "color_mask": "图像遮罩",
1105
+ "images": "图像"
1106
+ },
1107
+ "widgets": {
1108
+ "mask_color": "遮罩颜色",
1109
+ "weight": "权重",
1110
+ "noise": "噪波",
1111
+ "weight_interpolation": "权重插值方式",
1112
+ "original": "初始",
1113
+ "linear": "线性",
1114
+ "channel penalty": "通道惩罚"
1115
+ },
1116
+ "outputs": {
1117
+ "IPADAPTER_PIPE": "IPAdapter束",
1118
+ "MODEL": "模型",
1119
+ "MASK" : "遮罩"
1120
+ }
1121
+ },
1122
+ "RegionalSeedExplorerMask //Inspire": {
1123
+ "title": "区域随机种管理",
1124
+ "inputs": {
1125
+ "mask": "遮罩",
1126
+ "noise": "噪波"
1127
+ },
1128
+ "widgets": {
1129
+ "seed_prompt": "随机种提示词",
1130
+ "enable_additional": "启用拓展",
1131
+ "additional_seed": "拓展随机种",
1132
+ "additional_strength": "拓展强度",
1133
+ "noise_mode": "噪波模式"
1134
+ },
1135
+ "outputs": {
1136
+ "NOISE": "噪波"
1137
+ }
1138
+ },
1139
+ "RegionalSeedExplorerColorMask //Inspire": {
1140
+ "title": "区域随机种管理(颜色遮罩)",
1141
+ "inputs": {
1142
+ "color_mask": "图像遮罩",
1143
+ "noise": "噪波"
1144
+ },
1145
+ "widgets": {
1146
+ "mask_color": "遮罩颜色",
1147
+ "seed_prompt": "随机种提示词",
1148
+ "enable_additional": "启用拓展",
1149
+ "additional_seed": "拓展随机种",
1150
+ "additional_strength": "拓展强度",
1151
+ "noise_mode": "噪波模式"
1152
+ },
1153
+ "outputs": {
1154
+ "NOISE": "噪波",
1155
+ "MASK": "遮罩"
1156
+ }
1157
+ },
1158
+ "RegionalIPAdapterEncodedMask //Inspire": {
1159
+ "title": "区域IPAdapter(编码遮罩)",
1160
+ "inputs": {
1161
+ "mask": "遮罩",
1162
+ "embeds": "嵌入组"
1163
+ },
1164
+ "widgets": {
1165
+ "weight": "权重",
1166
+ "weight_interpolation": "权重插值方式"
1167
+ },
1168
+ "outputs": {
1169
+ "REGIONAL_IPADAPER": "区域IPAdapter"
1170
+ }
1171
+ },
1172
+ "RegionalIPAdapterEncodedColorMask //Inspire": {
1173
+ "title": "区域IPAdapter(编码颜色遮罩)",
1174
+ "inputs": {
1175
+ "color_mask": "图像遮罩",
1176
+ "embeds": "嵌入组"
1177
+ },
1178
+ "widgets": {
1179
+ "mask_color": "遮罩颜色",
1180
+ "weight": "权重",
1181
+ "weight_interpolation": "权重插值方式"
1182
+ },
1183
+ "outputs": {
1184
+ "REGIONAL_IPADAPTER": "区域IPAdapter",
1185
+ "MASK": "遮罩"
1186
+ }
1187
+ },
1188
+ "ApplyRegionalIPAdapters //Inspire": {
1189
+ "title": "应用区域IPAdapter",
1190
+ "inputs": {
1191
+ "ipadapter_pipe": "IPAdapter束",
1192
+ "regional_ipadapter1": "区域IPAdapter1"
1193
+ },
1194
+ "outputs": {
1195
+ "MODEL": "模型"
1196
+ }
1197
+ },
1198
+ "CheckpointLoaderSimpleShared //Inspire": {
1199
+ "title": "Checkpoint加载器(简易共享)",
1200
+ "widgets": {
1201
+ "ckpt_name": "模型名称",
1202
+ "key_opt": "Key"
1203
+ },
1204
+ "outputs": {
1205
+ "model": "模型",
1206
+ "clip": "CLIP",
1207
+ "vae": "VAE",
1208
+ "cache key": "缓存Key"
1209
+ }
1210
+ },
1211
+ "StableCascade_CheckpointLoader //Inspire": {
1212
+ "title": "StableCascade模型加载器",
1213
+ "widgets": {
1214
+ "stage_b": "Stage_B",
1215
+ "key_opt_b": "Key_B",
1216
+ "stage_c": "Stage_C",
1217
+ "key_opt_c": "Key_C",
1218
+ "cache_mode": "缓存模式"
1219
+ },
1220
+ "outputs": {
1221
+ "b_model": "B_模型",
1222
+ "b_vae": "B_VAE",
1223
+ "c_model": "C_模型",
1224
+ "c_vae": "C_VAE",
1225
+ "c_clip_vision": "C_CLIP视觉",
1226
+ "clip": "CLIP",
1227
+ "key_b": "Key_B",
1228
+ "key_c": "Key_C"
1229
+ }
1230
+ },
1231
+
1232
+
1233
+ "FloatRange //Inspire": {
1234
+ "title": "浮点范围",
1235
+ "widgets": {
1236
+ "start": "起始值",
1237
+ "stop": "终止值",
1238
+ "step": "步长",
1239
+ "limit": "限制值",
1240
+ "ensure_end": "确认终止"
1241
+ },
1242
+ "outputs": {
1243
+ "FLOAT": "浮点"
1244
+ }
1245
+ },
1246
+
1247
+
1248
+ "HyperTile //Inspire": {
1249
+ "title": "超分块(Inspire)",
1250
+ "inputs": {
1251
+ "model": "模型"
1252
+ },
1253
+ "widgets": {
1254
+ "tile_size": "分块尺寸",
1255
+ "swap_size": "分割尺寸",
1256
+ "max_depth": "最大深度",
1257
+ "scale_depth": "缩放深度",
1258
+ "seed": "随机种",
1259
+ "control_after_generate": "运行后操作"
1260
+ },
1261
+ "outputs": {
1262
+ "MODEL": "模型"
1263
+ }
1264
+ },
1265
+ "ConcatConditioningsWithMultiplier //Inspire": {
1266
+ "title": "条件联结(系数)",
1267
+ "inputs": {
1268
+ "conditioning1": "条件1",
1269
+ "conditioning2": "条件2",
1270
+ "conditioning3": "条件3",
1271
+ "conditioning4": "条件4",
1272
+ "conditioning5": "条件5"
1273
+ },
1274
+ "widgets": {
1275
+ "multiplier1": "系数1",
1276
+ "multiplier2": "系数2",
1277
+ "multiplier3": "系数3",
1278
+ "multiplier4": "系数4",
1279
+ "multiplier5": "系数5"
1280
+ },
1281
+ "outputs": {
1282
+ "CONDITIONING": "条件"
1283
+ }
1284
+ }
1285
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-InstantID.json ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "InsightFaceLoader_Zho": {
3
+ "title": "InsightFace加载器",
4
+ "widgets": {
5
+ "provider": "设备"
6
+ },
7
+ "outputs": {
8
+ "INSIGHTFACEMODEL": "InsightFaceModel"
9
+ }
10
+ },
11
+ "IDControlNetLoader": {
12
+ "title": "IDControlNet加载器",
13
+ "widgets": {
14
+ "controlnet_path": "ControlNet路径"
15
+ },
16
+ "outputs": {
17
+ "controlnet": "ControlNet"
18
+ }
19
+ },
20
+ "IDBaseModelLoader_fromhub": {
21
+ "title": "ID模型加载器(hub)",
22
+ "inputs": {
23
+ "controlnet": "ControlNet"
24
+ },
25
+ "widgets": {
26
+ "base_model_path": "模型路径"
27
+ },
28
+ "outputs": {
29
+ "pipe": "Pipe"
30
+ }
31
+ },
32
+ "IDBaseModelLoader_local": {
33
+ "title": "ID模型加载器(本地)",
34
+ "inputs": {
35
+ "controlnet": "ControlNet"
36
+ },
37
+ "widgets": {
38
+ "ckpt_name": "模型名称"
39
+ },
40
+ "outputs": {
41
+ "pipe": "Pipe"
42
+ }
43
+ },
44
+ "Ipadapter_instantidLoader": {
45
+ "title": "IPAdapter_ID加载器",
46
+ "inputs": {
47
+ "pipe": "Pipe"
48
+ },
49
+ "widgets": {
50
+ "Ipadapter_instantid_path": "IPAdapterID路径",
51
+ "filename": "文件名"
52
+ },
53
+ "outputs": {
54
+ "MODEL": "模型"
55
+ }
56
+ },
57
+ "ID_Prompt_Styler": {
58
+ "title": "ID提示词风格化",
59
+ "widgets": {
60
+ "prompt": "正面提示词",
61
+ "negative_prompt": "负面提示词",
62
+ "style_name": "风格"
63
+ },
64
+ "outputs": {
65
+ "positive_prompt": "正面提示词",
66
+ "negative_prompt": "负面提示词"
67
+ }
68
+ },
69
+ "IDGenerationNode": {
70
+ "title": "ID生成节点",
71
+ "inputs": {
72
+ "face_image": "面部图像",
73
+ "pipe": "Pipe",
74
+ "Insightface": "InsightFace",
75
+ "pose_image_optional": "姿态图像",
76
+ "positive": "正面提示词",
77
+ "negative": "负面提示词"
78
+ },
79
+ "widgets": {
80
+ "ip_adapter_scale": "IPAdapter强度",
81
+ "controlnet_conditioning_scale": "ControlNet强度",
82
+ "steps": "步数",
83
+ "guidance_scale": "CFG",
84
+ "enhance_face_region": "面部区域增强",
85
+ "seed": "随机种",
86
+ "control_after_generate": "运行后操作"
87
+ },
88
+ "outputs": {
89
+ "IMAGE": "图像"
90
+ }
91
+ }
92
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-InstantMesh.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "InstantMeshLoader": {
3
+ "title": "InstantMesh加载器",
4
+ "widgets": {
5
+ "config_name": "配置文件"
6
+ },
7
+ "outputs": {
8
+ "model": "InstantMesh模型",
9
+ "config": "配置"
10
+ }
11
+ },
12
+ "InstantMeshRun": {
13
+ "title": "InstantMesh执行",
14
+ "inputs": {
15
+ "model": "InstantMesh模型",
16
+ "config": "配置"
17
+ },
18
+ "widgets": {
19
+ "diffusion_steps": "采样步数",
20
+ "view": "视图数量",
21
+ "export_texmap": "导出贴图",
22
+ "save_video": "保存视频",
23
+ "remove_bg": "移除背景"
24
+ },
25
+ "outputs": {
26
+ "images": "图像",
27
+ "mesh_path": "网格文件路径",
28
+ "video_path": "视频路径"
29
+ }
30
+ }
31
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-KJNodes.json ADDED
@@ -0,0 +1,2052 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "ConditioningMultiCombine": {
3
+ "title": "条件合并(多重)",
4
+ "inputs": {
5
+ "conditioning_1": "条件_1",
6
+ "conditioning_2": "条件_2",
7
+ "conditioning_3": "条件_3",
8
+ "conditioning_4": "条件_4",
9
+ "conditioning_5": "条件_5",
10
+ "conditioning_6": "条件_6",
11
+ "conditioning_7": "条件_7",
12
+ "conditioning_8": "条件_8",
13
+ "conditioning_9": "条件_9",
14
+ "conditioning_10": "条件_10",
15
+ "conditioning_11": "条件_11",
16
+ "conditioning_12": "条件_12",
17
+ "conditioning_13": "条件_13",
18
+ "conditioning_14": "条件_14",
19
+ "conditioning_15": "条件_15",
20
+ "conditioning_16": "条件_16",
21
+ "conditioning_17": "条件_17",
22
+ "conditioning_18": "条件_18",
23
+ "conditioning_19": "条件_19",
24
+ "conditioning_20": "条件_20"
25
+ },
26
+ "widgets": {
27
+ "inputcount": "输入数量",
28
+ "Start mic capture": "开始捕捉麦克风",
29
+ "Stop mic capture": "停止捕捉麦克风"
30
+ },
31
+ "outputs": {
32
+ "combined": "条件",
33
+ "inputcount": "输入数量"
34
+ }
35
+ },
36
+ "ConditioningSetMaskAndCombine": {
37
+ "title": "条件设置遮罩(合并2)",
38
+ "inputs": {
39
+ "positive_1": "正面条件_1",
40
+ "negative_1": "负面条件_1",
41
+ "positive_2": "正面条件_2",
42
+ "negative_2": "负面条件_2",
43
+ "mask_1": "遮罩_1",
44
+ "mask_2": "遮罩_2"
45
+ },
46
+ "widgets": {
47
+ "mask_1_strength": "遮罩_1_强度",
48
+ "mask_2_strength": "遮罩_2_强度",
49
+ "set_cond_area": "设置条件区域",
50
+ "default": "默认",
51
+ "mask bounds": "遮罩边界"
52
+ },
53
+ "outputs": {
54
+ "combined_positive": "正面条件",
55
+ "combined_negative": "负面条件"
56
+ }
57
+ },
58
+ "ConditioningSetMaskAndCombine3": {
59
+ "title": "条件设置遮罩(合并3)",
60
+ "inputs": {
61
+ "positive_1": "正面条件_1",
62
+ "negative_1": "负面条件_1",
63
+ "positive_2": "正面条件_2",
64
+ "negative_2": "负面条件_2",
65
+ "positive_3": "正面条件_3",
66
+ "negative_3": "负面条件_3",
67
+ "mask_1": "遮罩_1",
68
+ "mask_2": "遮罩_2",
69
+ "mask_3": "遮罩_3"
70
+ },
71
+ "widgets": {
72
+ "mask_1_strength": "遮罩_1_强度",
73
+ "mask_2_strength": "遮罩_2_强度",
74
+ "mask_3_strength": "遮罩_3_强度",
75
+ "set_cond_area": "设置条件区域",
76
+ "default": "默认",
77
+ "mask bounds": "遮罩边界"
78
+ },
79
+ "outputs": {
80
+ "combined_positive": "正面条件",
81
+ "combined_negative": "负面条件"
82
+ }
83
+ },
84
+ "ConditioningSetMaskAndCombine4": {
85
+ "title": "条件设置遮罩(合并4)",
86
+ "inputs": {
87
+ "positive_1": "正面条件_1",
88
+ "negative_1": "负面条件_1",
89
+ "positive_2": "正面条件_2",
90
+ "negative_2": "负面条件_2",
91
+ "positive_3": "正面条件_3",
92
+ "negative_3": "负面条件_3",
93
+ "positive_4": "正面条件_4",
94
+ "negative_4": "负面条件_4",
95
+ "mask_1": "遮罩_1",
96
+ "mask_2": "遮罩_2",
97
+ "mask_3": "遮罩_3",
98
+ "mask_4": "遮罩_4"
99
+ },
100
+ "widgets": {
101
+ "mask_1_strength": "遮罩_1_强度",
102
+ "mask_2_strength": "遮罩_2_强度",
103
+ "mask_3_strength": "遮罩_3_强度",
104
+ "mask_4_strength": "遮罩_4_强度",
105
+ "set_cond_area": "设置条件区域",
106
+ "default": "默认",
107
+ "mask bounds": "遮罩边界"
108
+ },
109
+ "outputs": {
110
+ "combined_positive": "正面条件",
111
+ "combined_negative": "负面条件"
112
+ }
113
+ },
114
+ "ConditioningSetMaskAndCombine5": {
115
+ "title": "条件设置遮罩(合并5)",
116
+ "inputs": {
117
+ "positive_1": "正面条件_1",
118
+ "negative_1": "负面条件_1",
119
+ "positive_2": "正面条件_2",
120
+ "negative_2": "负面条件_2",
121
+ "positive_3": "正面条件_3",
122
+ "negative_3": "负面条件_3",
123
+ "positive_4": "正面条件_4",
124
+ "negative_4": "负面条件_4",
125
+ "positive_5": "正面条件_5",
126
+ "negative_5": "负面条件_5",
127
+ "mask_1": "遮罩_1",
128
+ "mask_2": "遮罩_2",
129
+ "mask_3": "遮罩_3",
130
+ "mask_4": "遮罩_4",
131
+ "mask_5": "遮罩_5"
132
+ },
133
+ "widgets": {
134
+ "mask_1_strength": "遮罩_1_强度",
135
+ "mask_2_strength": "遮罩_2_强度",
136
+ "mask_3_strength": "遮罩_3_���度",
137
+ "mask_4_strength": "遮罩_4_强度",
138
+ "mask_5_strength": "遮罩_5_强度",
139
+ "set_cond_area": "设置条件区域",
140
+ "default": "默认",
141
+ "mask bounds": "遮罩边界"
142
+ },
143
+ "outputs": {
144
+ "combined_positive": "正面条件",
145
+ "combined_negative": "负面条件"
146
+ }
147
+ },
148
+
149
+
150
+
151
+ "CreateGradientMask": {
152
+ "title": "渐变遮罩",
153
+ "widgets": {
154
+ "invert": "反转",
155
+ "frames": "帧数",
156
+ "width": "宽度",
157
+ "height": "高度"
158
+ },
159
+ "outputs": {
160
+ "MASK": "遮罩"
161
+ }
162
+ },
163
+ "CreateTextMask": {
164
+ "title": "文本遮罩",
165
+ "widgets": {
166
+ "invert": "反转",
167
+ "frames": "帧数",
168
+ "text_x": "位置_X",
169
+ "text_y": "位置_Y",
170
+ "font_size": "字体大小",
171
+ "font_color": "字体颜色",
172
+ "text": "文本",
173
+ "font_path": "字体路径",
174
+ "width": "宽度",
175
+ "height": "高度",
176
+ "start_rotation": "起始旋转",
177
+ "end_rotation": "最终旋转"
178
+ },
179
+ "outputs": {
180
+ "IMAGE": "图像",
181
+ "MASK": "遮罩"
182
+ }
183
+ },
184
+ "CreateAudioMask": {
185
+ "title": "音频遮罩",
186
+ "widgets": {
187
+ "invert": "反转",
188
+ "frames": "帧数",
189
+ "scale": "缩放",
190
+ "audio_path": "音频路径",
191
+ "width": "宽度",
192
+ "height": "高度"
193
+ }
194
+ },
195
+ "CreateFadeMask": {
196
+ "title": "渐隐遮罩",
197
+ "widgets": {
198
+ "invert": "反转",
199
+ "frames": "帧数",
200
+ "width": "宽度",
201
+ "height": "高度",
202
+ "interpolation": "插值方式",
203
+ "start_level": "起始色值",
204
+ "midpoint_level": "中点色值",
205
+ "end_level": "最终色值",
206
+ "midpoint_frame": "中点帧编号"
207
+ },
208
+ "outputs": {
209
+ "MASK": "遮罩"
210
+ }
211
+ },
212
+ "CreateFadeMaskAdvanced": {
213
+ "title": "渐隐遮罩(高级)",
214
+ "widgets": {
215
+ "points_string": "色值点",
216
+ "invert": "反转",
217
+ "frames": "帧数",
218
+ "width": "宽度",
219
+ "height": "高度",
220
+ "interpolation": "插值方式"
221
+ },
222
+ "outputs": {
223
+ "MASK": "遮罩"
224
+ }
225
+ },
226
+ "CreateFluidMask": {
227
+ "title": "流体遮罩",
228
+ "widgets": {
229
+ "invert": "反转",
230
+ "frames": "帧数",
231
+ "width": "宽度",
232
+ "height": "高度",
233
+ "inflow_count": "流入数量",
234
+ "inflow_radius": "流入半径",
235
+ "inflow_padding": "流入填充",
236
+ "inflow_duration": "流入时间"
237
+ },
238
+ "outputs": {
239
+ "IMAGE": "图像",
240
+ "MASK": "遮罩"
241
+ }
242
+ },
243
+ "CreateShapeMask": {
244
+ "title": "形状遮罩",
245
+ "widgets": {
246
+ "shape": "形状",
247
+ "circle": "圆形",
248
+ "square": "正方形",
249
+ "triangle": "三角形",
250
+ "frames": "帧数",
251
+ "location_x": "位置_X",
252
+ "location_y": "位置_Y",
253
+ "size": "大小",
254
+ "grow": "生长",
255
+ "frame_width": "宽度",
256
+ "frame_height": "高度"
257
+ },
258
+ "outputs": {
259
+ "mask": "遮罩",
260
+ "mask_inverted": "反转遮罩"
261
+ }
262
+ },
263
+ "CreateVoronoiMask": {
264
+ "title": "沃洛诺伊遮罩",
265
+ "widgets": {
266
+ "frames": "帧数",
267
+ "num_points": "点数",
268
+ "line_width": "线宽",
269
+ "speed": "速度",
270
+ "frame_width": "宽度",
271
+ "frame_height": "高度"
272
+ },
273
+ "outputs": {
274
+ "mask": "遮罩",
275
+ "mask_inverted": "反转遮罩"
276
+ }
277
+ },
278
+ "CreateMagicMask": {
279
+ "title": "迷幻遮罩",
280
+ "widgets": {
281
+ "frames": "帧数",
282
+ "depth": "深度",
283
+ "distortion": "畸变",
284
+ "seed": "随机种",
285
+ "control_after_generate": "运行后操作",
286
+ "fixed": "固定",
287
+ "increment": "增加",
288
+ "decrement": "减少",
289
+ "randomize": "随机",
290
+ "transitions": "过渡",
291
+ "frame_height": "高度",
292
+ "frame_width": "宽度"
293
+ },
294
+ "outputs": {
295
+ "mask": "遮罩",
296
+ "mask_inverted": "反转遮罩"
297
+ }
298
+ },
299
+ "CreateShapeMaskOnPath": {
300
+ "title": "创建形状遮罩",
301
+ "inputs": {
302
+ "coordinates": "坐标",
303
+ "size_multiplier": "尺寸乘数"
304
+ },
305
+ "widgets": {
306
+ "shape": "形状",
307
+ "frame_height": "高度",
308
+ "frame_width": "宽度",
309
+ "shape_height": "形状高度",
310
+ "shape_width": "形状宽度",
311
+ "shape_color": "形状颜色",
312
+ "bg_color": "背景颜色",
313
+ "blur_radius": "模糊半径",
314
+ "intensity": "强度"
315
+ },
316
+ "outputs": {
317
+ "mask": "遮罩",
318
+ "mask_inverted": "反转遮罩"
319
+ },
320
+ "description": "生成指定形状的遮罩或遮罩批次,位置参数为中心位置。"
321
+ },
322
+ "CreateTextOnPath": {
323
+ "title": "创建文本",
324
+ "inputs": {
325
+ "coordinates": "坐标",
326
+ "size_multiplier": "尺寸乘数"
327
+ },
328
+ "widgets": {
329
+ "text": "文本",
330
+ "frame_height": "高度",
331
+ "frame_width": "宽度",
332
+ "font": "字体",
333
+ "font_size": "字体大小",
334
+ "alignment": "对齐到",
335
+ "text_color": "文本颜色"
336
+ },
337
+ "outputs": {
338
+ "image": "图像",
339
+ "mask": "遮罩",
340
+ "mask_inverted": "反转遮罩"
341
+ }
342
+ },
343
+
344
+
345
+
346
+ "GrowMaskWithBlur": {
347
+ "title": "遮罩模糊生长",
348
+ "inputs": {
349
+ "mask": "遮罩"
350
+ },
351
+ "widgets": {
352
+ "expand": "扩展",
353
+ "incremental_expandrate": "扩展增量",
354
+ "tapered_corners": "倒角",
355
+ "flip_input": "反转输入",
356
+ "use_cuda": "使用CUDA",
357
+ "blur_radius": "模糊半径",
358
+ "sigma": "Sigma",
359
+ "lerp_alpha": "线性透明",
360
+ "decay_factor": "腐蚀系数"
361
+ },
362
+ "outputs": {
363
+ "mask": "遮罩",
364
+ "mask_inverted": "反转遮罩"
365
+ }
366
+ },
367
+ "MaskBatchMulti": {
368
+ "title": "遮罩组合批次(多重)",
369
+ "inputs": {
370
+ "mask_1": "遮罩_1",
371
+ "mask_2": "遮罩_2",
372
+ "mask_3": "遮罩_3",
373
+ "mask_4": "遮罩_4",
374
+ "mask_5": "遮罩_5",
375
+ "mask_6": "遮罩_6",
376
+ "mask_7": "遮罩_7",
377
+ "mask_8": "遮罩_8",
378
+ "mask_9": "遮罩_9",
379
+ "mask_10": "遮罩_10"
380
+ },
381
+ "widgets": {
382
+ "inputcount": "输入数量",
383
+ "Update inputs": "更新输入"
384
+ },
385
+ "outputs": {
386
+ "masks": "遮罩"
387
+ },
388
+ "description": "合并多个遮罩为遮罩批次。可以通过“输入数量”设置输入接口数量,点击更新刷新接口。"
389
+ },
390
+ "ColorToMask": {
391
+ "title": "图像颜色到遮罩",
392
+ "inputs": {
393
+ "images": "图像"
394
+ },
395
+ "widgets": {
396
+ "invert": "反转",
397
+ "red": "红色",
398
+ "green": "绿色",
399
+ "blue": "蓝色",
400
+ "threshold": "阈值"
401
+ },
402
+ "outputs": {
403
+ "MASK": "遮罩"
404
+ }
405
+ },
406
+ "ColorMatch": {
407
+ "title": "图像调色",
408
+ "inputs": {
409
+ "image_ref": "参考图像",
410
+ "image_target": "目标图像"
411
+ },
412
+ "widgets": {
413
+ "method": "方法"
414
+ },
415
+ "outputs": {
416
+ "image": "图像"
417
+ },
418
+ "description": "color-matcher(图像调色)可以在转换图像之间的色彩样式,用于照片、绘画、序列帧的自动调色以及光场定格修正。\n\n基于 Reinhard 等算法,Pitie 等人提出的 Monge-Kantorovich Linearization (MKL) 算法以及我们结合经典直方图匹配对 Multi-Variate Gaussian Distribution (MVGD)算法的分析解决方案。如下所示,我们的 HM-MVGD-HM 符合方法优于现有方法。\n\nhttps://github.com/hahnec/color-matcher/"
419
+ },
420
+ "BatchCropFromMask": {
421
+ "title": "遮罩裁剪",
422
+ "inputs": {
423
+ "original_images": "图像",
424
+ "masks": "遮罩"
425
+ },
426
+ "widgets": {
427
+ "crop_size_nult": "裁剪系数",
428
+ "bbox_smooth_alpha": "BBox平滑透明"
429
+ },
430
+ "outputs": {
431
+ "original_images": "原图像",
432
+ "cropped_images": "裁剪图像",
433
+ "bboxes": "BBox",
434
+ "width": "宽度",
435
+ "height": "高度"
436
+ }
437
+ },
438
+ "BatchCropFromMaskAdvanced": {
439
+ "title": "遮罩裁剪(高级)",
440
+ "inputs": {
441
+ "original_images": "图像",
442
+ "masks": "遮罩"
443
+ },
444
+ "widgets": {
445
+ "crop_size_nult": "裁剪系数",
446
+ "bbox_smooth_alpha": "BBox平滑透明"
447
+ },
448
+ "outputs": {
449
+ "original_images": "原图像",
450
+ "cropped_images": "裁剪图像",
451
+ "cropped_masks": "裁剪遮罩",
452
+ "combined_crop_image": "合并裁剪图像",
453
+ "combined_crop_masks": "合并裁剪遮罩",
454
+ "bboxes": "BBox",
455
+ "combined_bounding_box": "合并BBox",
456
+ "bbox_width": "BBox宽度",
457
+ "bbox_height": "BBox高度"
458
+ }
459
+ },
460
+ "FilterZeroMasksAndCorrespondingImages": {
461
+ "title": "过滤零遮罩和图像",
462
+ "inputs": {
463
+ "masks": "遮罩",
464
+ "original_images": "图像"
465
+ },
466
+ "outputs": {
467
+ "non_zero_masks_out": "非零遮罩",
468
+ "non_zero_mask_images_out": "非零图像",
469
+ "zero_mask_images_out": "零图像",
470
+ "zero_mask_images_out_indexes": "非零遮罩图像索引"
471
+ }
472
+ },
473
+ "BatchUncrop": {
474
+ "title": "Uncrop",
475
+ "inputs": {
476
+ "original_images": "原图像",
477
+ "cropped_images": "裁剪图像",
478
+ "bboxes": "BBox"
479
+ },
480
+ "widgets": {
481
+ "border_blending": "边框融合",
482
+ "crop_rescale": "重缩放",
483
+ "border_bottom": "下",
484
+ "border_top": "上",
485
+ "border_left": "左",
486
+ "border_right": "右"
487
+ },
488
+ "outputs": {
489
+ "IMAGE": "图像"
490
+ }
491
+ },
492
+ "BatchUncropAdvanced": {
493
+ "title": "Uncrop(高级)",
494
+ "inputs": {
495
+ "original_images": "原图像",
496
+ "cropped_images": "裁剪图像",
497
+ "cropped_masks": "裁剪遮罩",
498
+ "combined_crop_mask": "合并裁剪遮罩",
499
+ "bboxes": "BBox",
500
+ "combined_bounding_box": "合并BBox"
501
+ },
502
+ "widgets": {
503
+ "border_blending": "边框融合",
504
+ "crop_rescale": "重缩放",
505
+ "use_combined_mask": "使用合并遮罩",
506
+ "use_square_mask": "使用正方形遮罩"
507
+ },
508
+ "outputs": {
509
+ "IMAGE": "图像"
510
+ }
511
+ },
512
+ "BatchCLIPSeg": {
513
+ "title": "CLIP语义分割",
514
+ "inputs": {
515
+ "images": "图像"
516
+ },
517
+ "widgets": {
518
+ "text": "文本",
519
+ "threshold": "阈值",
520
+ "binary_mask": "二值遮罩",
521
+ "combine_mask": "合并遮罩",
522
+ "use_cuda": "使用CUDA"
523
+ },
524
+ "outputs": {
525
+ "Mask": "遮罩"
526
+ }
527
+ },
528
+ "RoundMask": {
529
+ "title": "舍入遮罩",
530
+ "inputs": {
531
+ "mask": "遮罩"
532
+ },
533
+ "outputs": {
534
+ "MASK": "遮罩"
535
+ }
536
+ },
537
+ "ResizeMask": {
538
+ "title": "缩放遮罩",
539
+ "inputs": {
540
+ "mask": "遮罩"
541
+ },
542
+ "widgets": {
543
+ "width": "宽度",
544
+ "height": "高度",
545
+ "keep_proportions": "固定宽高比"
546
+ },
547
+ "outputs": {
548
+ "mask": "遮罩",
549
+ "width": "宽度",
550
+ "height": "高度"
551
+ }
552
+ },
553
+ "OffsetMask": {
554
+ "title": "偏移遮罩",
555
+ "inputs": {
556
+ "mask": "遮罩"
557
+ },
558
+ "widgets": {
559
+ "x": "X",
560
+ "y": "Y",
561
+ "angle": "角度",
562
+ "duplication_factor": "重复次数",
563
+ "roll": "使用滚动",
564
+ "incremental": "使用增量",
565
+ "padding_mode": "填充模式",
566
+ "empty": "空",
567
+ "border": "边界",
568
+ "reflection": "反射"
569
+ },
570
+ "outputs": {
571
+ "mask": "遮罩"
572
+ }
573
+ },
574
+ "BboxToInt": {
575
+ "title": "BBox到整数",
576
+ "inputs": {
577
+ "bboxes": "BBox"
578
+ },
579
+ "widgets": {
580
+ "index": "索引"
581
+ },
582
+ "outputs": {
583
+ "x_min": "X最小值",
584
+ "y_min": "Y最大值",
585
+ "width": "宽度",
586
+ "height": "高度",
587
+ "center_x": "X中心",
588
+ "center_y": "Y中心"
589
+ }
590
+ },
591
+ "SplitBboxes": {
592
+ "title": "分离BBox",
593
+ "inputs": {
594
+ "bboxes": "BBox"
595
+ },
596
+ "widgets": {
597
+ "index": "索引"
598
+ },
599
+ "outputs": {
600
+ "bboxes_a": "BBox_A",
601
+ "bboxes_b": "BBox_B"
602
+ }
603
+ },
604
+ "OffsetMaskByNormalizedAmplitude": {
605
+ "title": "按规格化幅度偏移遮罩",
606
+ "inputs": {
607
+ "normalized_amp": "规格化幅度",
608
+ "mask": "遮罩"
609
+ },
610
+ "widgets": {
611
+ "x": "X",
612
+ "y": "Y",
613
+ "rotate": "旋转",
614
+ "angle_multiplier": "角度倍数"
615
+ },
616
+ "outputs": {
617
+ "mask": "遮罩"
618
+ },
619
+ "description": "用于桥接 AudioScheduler 插件的节点:\n\nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler\n\n基于规格化振幅偏移遮罩。"
620
+ },
621
+ "RemapMaskRange": {
622
+ "title": "重映射遮罩范围",
623
+ "inputs": {
624
+ "mask": "遮罩"
625
+ },
626
+ "widgets": {
627
+ "min": "最小值",
628
+ "max": "最大值"
629
+ },
630
+ "outputs": {
631
+ "mask": "遮罩"
632
+ }
633
+ },
634
+ "BboxVisualize": {
635
+ "title": "BBox预览",
636
+ "inputs": {
637
+ "images": "图像",
638
+ "bboxes": "BBox"
639
+ },
640
+ "widgets": {
641
+ "line_width": "线宽"
642
+ },
643
+ "outputs": {
644
+ "images": "图像"
645
+ }
646
+ },
647
+
648
+
649
+
650
+ "ImageGrabPIL": {
651
+ "title": "PIL画面捕捉",
652
+ "widgets": {
653
+ "x": "X",
654
+ "y": "Y",
655
+ "width": "宽度",
656
+ "height": "高度",
657
+ "num_frames": "帧数",
658
+ "delay": "延迟"
659
+ },
660
+ "outputs": {
661
+ "image": "图像"
662
+ },
663
+ "description": "按屏幕坐标捕捉区域。\n\n用于实时采样。"
664
+ },
665
+ "PlotCoordinates": {
666
+ "title": "坐标图",
667
+ "inputs": {
668
+ "coordinates": "坐标",
669
+ "size_multiplier": "尺寸乘数"
670
+ },
671
+ "widgets": {
672
+ "text": "文本",
673
+ "width": "宽度",
674
+ "height": "高度",
675
+ "bbox_width": "BBox宽度",
676
+ "bbox_height": "BBox高度"
677
+ },
678
+ "outputs": {
679
+ "images": "图像",
680
+ "width": "宽度",
681
+ "height": "高度",
682
+ "bbox_height": "BBox高度",
683
+ "bbox_width": "BBox宽度"
684
+ },
685
+ "description": "使用 Matplotlib 制作坐标图表序列。"
686
+ },
687
+ "InterpolateCoords": {
688
+ "title": "坐标插值",
689
+ "inputs": {
690
+ "coordinates": "坐标",
691
+ "interpolation_curve": "插值曲线"
692
+ },
693
+ "outputs": {
694
+ "coordinates": "坐标"
695
+ },
696
+ "description": "依据曲线插入坐标"
697
+ },
698
+ "PointsEditor": {
699
+ "title": "点编辑器",
700
+ "inputs": {
701
+ "bg_image": "背景图"
702
+ },
703
+ "widgets": {
704
+ "points_store": "点位置",
705
+ "bbox_store": "BBox位置",
706
+ "bbox_format": "BBox格式",
707
+ "width": "宽度",
708
+ "height": "高度",
709
+ "normalize": "规格化",
710
+ "New canvs": "新画布",
711
+ "Load Image": "加载图像",
712
+ "Clear Image": "清除图像"
713
+ },
714
+ "outputs": {
715
+ "positive_coords": "正面坐标",
716
+ "negative_coords": "负面坐标",
717
+ "bbox": "BBox",
718
+ "bbox_mask": "BBox遮罩",
719
+ "cropped_image": "裁剪图像"
720
+ },
721
+ "description": "# 开发中 \n尽量不要在工作流中使用这个节点,可能会遇到大量bug并且不稳定!! \n\n## 创建坐标的图形编辑器\n\n**Shift + 左键** 添加正面(绿色)的坐标点。\n\n**Shift + 右键** 添加负面(红色)的坐标点。\n\n**Ctrl + 左键** 绘制方框。\n\n**右键坐标点** 删除该点,不能删除点数组的起点/终点。\n\n要添加图像,选择节点并粘贴或拖入图像。\n\n或从 背景图 接口输入,使用输入图像的第一帧。\n\n**图像会保存到节点和工作流中**\n右键菜单可以清除图像。\n"
722
+ },
723
+ "SoundReactive": {
724
+ "title": "音频反馈",
725
+ "widgets": {
726
+ "sound_level": "音量",
727
+ "start_range_hz": "起始hz范围",
728
+ "end_range_hz": "最终hz范围",
729
+ "multiplier": "倍数",
730
+ "smoothing_factor": "平滑系数",
731
+ "normalize": "规格化",
732
+ "Start mic capture": "开始捕捉麦克风",
733
+ "Stop mic capture": "停止捕捉麦克风"
734
+ },
735
+ "outputs": {
736
+ "sound_level": "音量图",
737
+ "sound_level_int": "音量整数"
738
+ },
739
+ "description": "反馈输入音频的音量。\n\n使用浏览器音频输入。\n\n用于实时采样。"
740
+ },
741
+
742
+
743
+
744
+ "NormalizeLatent": {
745
+ "title": "规格化Latent",
746
+ "inputs": {
747
+ "latent": "Latent"
748
+ },
749
+ "outputs": {
750
+ "LATENT": "Latent"
751
+ }
752
+ },
753
+ "FlipSigmasAdjusted": {
754
+ "title": "反转Sigmas",
755
+ "inputs": {
756
+ "sigmas": "Sigmas"
757
+ },
758
+ "outputs": {
759
+ "SIGMAS": "Sigmas"
760
+ }
761
+ },
762
+ "InjectNoiseToLatent": {
763
+ "title": "插入噪波到Latent",
764
+ "inputs": {
765
+ "latents": "Latent",
766
+ "noise": "噪波Latent",
767
+ "mask": "遮罩"
768
+ },
769
+ "widgets": {
770
+ "strength": "强度",
771
+ "normalize": "规格化",
772
+ "average": "平均"
773
+ },
774
+ "outputs": {
775
+ "LATENT": "Latent"
776
+ }
777
+ },
778
+ "GenerateNoise": {
779
+ "title": "生成噪波",
780
+ "inputs": {
781
+ "model": "模型",
782
+ "sigmas": "Sigmas"
783
+ },
784
+ "widgets": {
785
+ "width": "宽度",
786
+ "height": "高度",
787
+ "batch_size": "批次大小",
788
+ "seed": "随机种",
789
+ "control_after_generate": "运行后操作",
790
+ "fixed": "固定",
791
+ "increment": "增加",
792
+ "decrement": "减少",
793
+ "randomize": "随机",
794
+ "multiplier": "倍数",
795
+ "constant_batch_noise": "批次噪波不变",
796
+ "normalize": "规格化"
797
+ },
798
+ "outputs": {
799
+ "LATENT": "Latent"
800
+ }
801
+ },
802
+ "CustomSigmas": {
803
+ "title": "自定义Sigmas",
804
+ "widgets": {
805
+ "sigmas_string": "Sigmas字符串",
806
+ "interpolate_to_steps": "步数"
807
+ },
808
+ "outputs": {
809
+ "SIGMAS": "Sigmas"
810
+ }
811
+ },
812
+
813
+
814
+
815
+ "ReferenceOnlySimple3": {
816
+ "title": "简易仅参考3",
817
+ "inputs": {
818
+ "model": "模型",
819
+ "reference": "参考Latent1",
820
+ "reference2": "参考Latent2",
821
+ "input": "Latent"
822
+ },
823
+ "widgets": {
824
+ "batch_size": "批次大小"
825
+ },
826
+ "outputs": {
827
+ "MODEL": "模型",
828
+ "LATENT": "Latent"
829
+ }
830
+ },
831
+
832
+
833
+ "CondPassThrough": {
834
+ "title": "条件传递",
835
+ "inpus": {
836
+ "positive": "正面条件",
837
+ "negative": "负面条件"
838
+ },
839
+ "outputs": {
840
+ "positive": "正面条件",
841
+ "negative": "负面条件"
842
+ }
843
+ },
844
+
845
+
846
+
847
+ "SetNode": {
848
+ "title": "设置节点",
849
+ "inputs": {
850
+ "*": "输入"
851
+ },
852
+ "widgets": {
853
+ "Constant": "常量"
854
+ },
855
+ "outputs": {
856
+ "*": "输出"
857
+ }
858
+ },
859
+ "GetNode": {
860
+ "title": "获取节点",
861
+ "inputs": {
862
+ "*": "输入"
863
+ },
864
+ "widgets": {
865
+ "Constant": "常量"
866
+ },
867
+ "outputs": {
868
+ "*": "输出"
869
+ }
870
+ },
871
+ "INTConstant": {
872
+ "title": "整数常量",
873
+ "widgets": {
874
+ "value": "值"
875
+ },
876
+ "outputs": {
877
+ "value": "值"
878
+ }
879
+ },
880
+ "FloatConstant": {
881
+ "title": "浮点常量",
882
+ "widgets": {
883
+ "value": "值"
884
+ },
885
+ "outputs": {
886
+ "value": "值"
887
+ }
888
+ },
889
+ "StringConstant": {
890
+ "title": "字符串常量",
891
+ "widgets": {
892
+ "value": "值"
893
+ },
894
+ "outputs": {
895
+ "value": "值"
896
+ }
897
+ },
898
+ "StringConstantMultiline": {
899
+ "title": "字符串常量(文本框)",
900
+ "widgets": {
901
+ "string": "字符串",
902
+ "strip_newlines": "带换行符"
903
+ },
904
+ "outputs": {
905
+ "STRING": "字符串"
906
+ }
907
+ },
908
+ "JoinStrings": {
909
+ "title": "合并字符串",
910
+ "inputs": {
911
+ "string1": "字符串1",
912
+ "string2": "字符串2"
913
+ },
914
+ "widgets": {
915
+ "delimiter": "分隔符"
916
+ },
917
+ "outputs": {
918
+ "STRING": "字符串"
919
+ }
920
+ },
921
+ "VRAM_Debug": {
922
+ "title": "VRAM_Debug",
923
+ "inputs": {
924
+ "model": "模型",
925
+ "clip_vision": "CLIP视觉"
926
+ },
927
+ "widgets": {
928
+ "empty_cuda_cache": "空CUDA缓存"
929
+ },
930
+ "outputs": {
931
+ "model": "模型",
932
+ "freemem_before": "前剩余内存",
933
+ "freemem_after": "后剩余内存"
934
+ }
935
+ },
936
+ "SomethingToString": {
937
+ "title": "任意到字符串",
938
+ "inputs": {
939
+ "input": "输入"
940
+ },
941
+ "outputs": {
942
+ "STRING": "字符串"
943
+ }
944
+ },
945
+ "CrossFadeImages": {
946
+ "title": "交叉渐隐图像",
947
+ "inputs": {
948
+ "images_1": "图像_1",
949
+ "images_2": "图像_2"
950
+ },
951
+ "widgets": {
952
+ "interpolation": "插值方式",
953
+ "transition_start_index": "开始过渡序号",
954
+ "transitioning_frames": "过渡帧数",
955
+ "start_level": "起始色值",
956
+ "end_level": "最终色值"
957
+ },
958
+ "outputs": {
959
+ "IMAGE": "图像"
960
+ }
961
+ },
962
+ "JoinStringMulti": {
963
+ "title": "合并字符串(多重)",
964
+ "inputs": {
965
+ "string_1": "字符串_1",
966
+ "string_2": "字符串_2",
967
+ "string_3": "字符串_3",
968
+ "string_4": "字符串_4",
969
+ "string_5": "字符串_5",
970
+ "string_6": "字符串_6",
971
+ "string_7": "字符串_7",
972
+ "string_8": "字符串_8",
973
+ "string_9": "字符串_9",
974
+ "string_10": "字符串_10"
975
+ },
976
+ "widgets": {
977
+ "inputcount": "输入数量",
978
+ "delimiter": "分隔符",
979
+ "return_list": "输出为列表",
980
+ "Update inputs": "更新输入"
981
+ },
982
+ "outputs": {
983
+ "string": "字符串"
984
+ },
985
+ "description": "合并多个字符串为字符串批次或字符串列表。可以通过“输入数量”设置输入接口数量,点击更新刷新接口。"
986
+ },
987
+ "EmptyLatentImagePresets": {
988
+ "title": "空Latent预设",
989
+ "widgets": {
990
+ "dimensions": "宽高",
991
+ "invert": "反转",
992
+ "batch_size": "批次大小"
993
+ },
994
+ "outputs": {
995
+ "Latent": "Latent",
996
+ "Width": "宽度",
997
+ "Height": "高度"
998
+ }
999
+ },
1000
+ "GetImageRangeFromBatch": {
1001
+ "title": "获取图像范围",
1002
+ "inputs": {
1003
+ "images": "图像",
1004
+ "masks": "遮罩"
1005
+ },
1006
+ "widgets": {
1007
+ "start_index": "起始编号",
1008
+ "num_frames": "帧数"
1009
+ },
1010
+ "outputs": {
1011
+ "IMAGE": "图像",
1012
+ "MASK": "遮罩"
1013
+ },
1014
+ "description": "根据输入图像批次以及参数,创建新图像批次。"
1015
+ },
1016
+ "ImageAddMulti": {
1017
+ "title": "图像混合(多重)",
1018
+ "inputs": {
1019
+ "image_1": "图像_1",
1020
+ "image_2": "图像_2",
1021
+ "image_3": "图像_3",
1022
+ "image_4": "图像_4",
1023
+ "image_5": "图像_5",
1024
+ "image_6": "图像_6",
1025
+ "image_7": "图像_7",
1026
+ "image_8": "图像_8",
1027
+ "image_9": "图像_9",
1028
+ "image_10": "图像_10"
1029
+ },
1030
+ "widgets": {
1031
+ "inputcount": "输入数量",
1032
+ "blending": "混合方式",
1033
+ "Update inputs": "更新输入"
1034
+ },
1035
+ "outputs": {
1036
+ "images": "图像"
1037
+ },
1038
+ "description": "混合多个图像。可以通过“输入数量”设置输入接口数量,点击更新刷新接口。"
1039
+ },
1040
+ "ImageBatchMulti": {
1041
+ "title": "图像组合批次(多重)",
1042
+ "inputs": {
1043
+ "image_1": "图像_1",
1044
+ "image_2": "图像_2",
1045
+ "image_3": "图像_3",
1046
+ "image_4": "图像_4",
1047
+ "image_5": "图像_5",
1048
+ "image_6": "图像_6",
1049
+ "image_7": "图像_7",
1050
+ "image_8": "图像_8",
1051
+ "image_9": "图像_9",
1052
+ "image_10": "图像_10"
1053
+ },
1054
+ "widgets": {
1055
+ "inputcount": "输入数量",
1056
+ "blending": "混合方式",
1057
+ "Update inputs": "更新输入"
1058
+ },
1059
+ "outputs": {
1060
+ "images": "图像"
1061
+ },
1062
+ "description": "合并多个图像为图像批次。可以通过“输入数量”设置输入接口数量,点击更新刷新接口。"
1063
+ },
1064
+ "ReverseImageBatch": {
1065
+ "title": "反转图像批次",
1066
+ "inputs": {
1067
+ "images": "图像"
1068
+ },
1069
+ "outputs": {
1070
+ "IMAGE": "图像"
1071
+ }
1072
+ },
1073
+ "ImageGridComposite2x2": {
1074
+ "title": "图像栅格合并2x2",
1075
+ "inputs": {
1076
+ "image1": "图像_1",
1077
+ "image2": "图像_2",
1078
+ "image3": "图像_3",
1079
+ "image4": "图像_4"
1080
+ },
1081
+ "outputs": {
1082
+ "IMAGE": "图像"
1083
+ },
1084
+ "description": "将 4 个输入图像合并为 2x2 表格。"
1085
+ },
1086
+ "ImageGridComposite3x3": {
1087
+ "title": "图像栅格合并3x3",
1088
+ "inputs": {
1089
+ "image1": "图像_1",
1090
+ "image2": "图像_2",
1091
+ "image3": "图像_3",
1092
+ "image4": "图像_4",
1093
+ "image5": "图像_5",
1094
+ "image6": "图像_6",
1095
+ "image7": "图像_7",
1096
+ "image8": "图像_8",
1097
+ "image9": "图像_9"
1098
+ },
1099
+ "outputs": {
1100
+ "IMAGE": "图像"
1101
+ },
1102
+ "description": "将 9 个输入图像合并为 3x3 表格。"
1103
+ },
1104
+ "ImageGridToBatch": {
1105
+ "title": "图像表格到批次",
1106
+ "inputs": {
1107
+ "image": "图像"
1108
+ },
1109
+ "widgets": {
1110
+ "columns": "列数",
1111
+ "The number of columns in the grid.": "表格的列数。",
1112
+ "rows": "行数",
1113
+ "The number of rows in the grid. Set to 0 for automatic calculation.": "表格的行数,0为自动。"
1114
+ },
1115
+ "outputs": {
1116
+ "IMAGE": "图像"
1117
+ },
1118
+ "description": "将图表转换为单个图像批次。"
1119
+ },
1120
+ "ImageConcanate": {
1121
+ "title": "图像联结",
1122
+ "inputs": {
1123
+ "image1": "图像_1",
1124
+ "image2": "图像_2"
1125
+ },
1126
+ "widgets": {
1127
+ "direction": "方向"
1128
+ },
1129
+ "outputs": {
1130
+ "IMAGE": "图像"
1131
+ },
1132
+ "description": "按方向合并两个图像。"
1133
+ },
1134
+ "ImageConcatFromBatch": {
1135
+ "title": "图像联结(批次)",
1136
+ "inputs": {
1137
+ "images": "图像"
1138
+ },
1139
+ "widgets": {
1140
+ "num_columns": "列数",
1141
+ "match_image_size": "匹配尺寸",
1142
+ "max_resolution": "最大分辨率"
1143
+ },
1144
+ "outputs": {
1145
+ "IMAGE": "图像"
1146
+ },
1147
+ "description": "从图像批次中获取图像,然后按照列数排列为单个图像。"
1148
+ },
1149
+ "ImageConcatMulti": {
1150
+ "title": "图像联结(多个)",
1151
+ "inputs": {
1152
+ "image_1": "图像_1",
1153
+ "image_2": "图像_2"
1154
+ },
1155
+ "widgets": {
1156
+ "inputcount": "输入数量",
1157
+ "direction": "方向",
1158
+ "match_image_size": "匹配尺寸",
1159
+ "Update inputs": "更新输入"
1160
+ },
1161
+ "outputs": {
1162
+ "images": "图像"
1163
+ },
1164
+ "description": "按方向合并多个图像。单击更新以更新输入数量。"
1165
+ },
1166
+ "ImageBatchTestPattern": {
1167
+ "title": "图像批次图案",
1168
+ "widgets": {
1169
+ "batch_size": "批次大小",
1170
+ "start_from": "起始值",
1171
+ "width": "宽度",
1172
+ "height": "高度"
1173
+ },
1174
+ "outputs": {
1175
+ "IMAGE": "图像"
1176
+ }
1177
+ },
1178
+ "ReplaceImagesInBatch": {
1179
+ "title": "替换图像批次",
1180
+ "inputs": {
1181
+ "original_images": "原图像",
1182
+ "replacement_images": "替换图像"
1183
+ },
1184
+ "widgets": {
1185
+ "start_index": "起始编号"
1186
+ },
1187
+ "outputs": {
1188
+ "IMAGE": "图像"
1189
+ }
1190
+ },
1191
+ "InsertImageBatchByIndexes": {
1192
+ "title": "按索引插入图像批次",
1193
+ "inputs": {
1194
+ "images": "图像",
1195
+ "images_to_insert": "插入图像",
1196
+ "insert_indexes": "插入索引"
1197
+ },
1198
+ "outputs": {
1199
+ "images_after_insert": "图像"
1200
+ }
1201
+ },
1202
+ "CreateShapeImageOnPath": {
1203
+ "title": "创建形状图像",
1204
+ "inputs": {
1205
+ "coordinates": "坐标",
1206
+ "size_multiplier": "尺寸乘数"
1207
+ },
1208
+ "widgets": {
1209
+ "shape": "形状",
1210
+ "frame_height": "高度",
1211
+ "frame_width": "宽度",
1212
+ "shape_height": "形状高度",
1213
+ "shape_width": "形状宽度",
1214
+ "shape_color": "形状颜色",
1215
+ "bg_color": "背景颜色",
1216
+ "blur_radius": "模糊半径",
1217
+ "intensity": "强度"
1218
+ },
1219
+ "outputs": {
1220
+ "image": "图像",
1221
+ "mask": "遮罩"
1222
+ },
1223
+ "description": "生成指定形状的图像或图像批次,位置参数为中心位置。"
1224
+ },
1225
+ "CreateGradientFromCoords": {
1226
+ "title": "从坐标创建渐变图像",
1227
+ "inputs": {
1228
+ "coordinates": "坐标"
1229
+ },
1230
+ "widgets": {
1231
+ "frame_height": "高度",
1232
+ "frame_width": "宽度",
1233
+ "start_color": "起始色",
1234
+ "end_color": "结束色",
1235
+ "multiplier": "倍数"
1236
+ },
1237
+ "outputs": {
1238
+ "image": "图像"
1239
+ },
1240
+ "description": "在坐标位置创建渐变图像。"
1241
+ },
1242
+ "GradientToFloat": {
1243
+ "title": "渐变到浮点",
1244
+ "inputs": {
1245
+ "image": "图像"
1246
+ },
1247
+ "widgets": {
1248
+ "steps": "步数"
1249
+ },
1250
+ "outputs": {
1251
+ "float_x": "浮点_X",
1252
+ "float_y": "浮点_Y"
1253
+ },
1254
+ "description": "计算图像浮点列表"
1255
+ },
1256
+ "WidgetToString": {
1257
+ "title": "组件到字符串",
1258
+ "widgets": {
1259
+ "id": "节点ID",
1260
+ "widget_name": "组件名称",
1261
+ "return_all": "返回全部"
1262
+ },
1263
+ "outputs": {
1264
+ "STRING": "字符串"
1265
+ }
1266
+ },
1267
+ "DummyLatentOut": {
1268
+ "title": "虚拟Latent输出",
1269
+ "inputs": {
1270
+ "latent": "Latent"
1271
+ },
1272
+ "outputs": {
1273
+ "LATENT": "Latent"
1274
+ }
1275
+ },
1276
+ "AddLabel": {
1277
+ "title": "添加标签",
1278
+ "inputs": {
1279
+ "image": "图像"
1280
+ },
1281
+ "widgets": {
1282
+ "text_x": "位置_X",
1283
+ "text_y": "位置_Y",
1284
+ "height": "高度",
1285
+ "font_size": "字体大小",
1286
+ "font_color": "字体颜色",
1287
+ "label_color": "背景颜色",
1288
+ "font": "字体",
1289
+ "text": "文本",
1290
+ "direction": "方向"
1291
+ },
1292
+ "outputs": {
1293
+ "IMAGE": "图像"
1294
+ }
1295
+ },
1296
+ "SuperPrompt": {
1297
+ "title": "超级提示词",
1298
+ "inputs": {
1299
+ "prompt": "提示词"
1300
+ },
1301
+ "widgets": {
1302
+ "instruction_prompt": "提示词提示词",
1303
+ "max_new_tokens": "输出最大Token数"
1304
+ },
1305
+ "outputs": {
1306
+ "STRING": "字符串"
1307
+ }
1308
+ },
1309
+ "Superprompt": {
1310
+ "title": "超级提示词",
1311
+ "inputs": {
1312
+ "prompt": "提示词"
1313
+ },
1314
+ "widgets": {
1315
+ "instruction_prompt": "提示词提示词",
1316
+ "max_new_tokens": "最大输出Token数"
1317
+ },
1318
+ "outputs": {
1319
+ "STRING": "字符串"
1320
+ }
1321
+ },
1322
+ "StableZero123_BatchSchedule": {
1323
+ "title": "SZ123_批次调度",
1324
+ "inputs": {
1325
+ "clip_vision": "CLIP视觉",
1326
+ "init_image": "图像",
1327
+ "vae": "VAE"
1328
+ },
1329
+ "widgets": {
1330
+ "width": "宽度",
1331
+ "height": "高度",
1332
+ "batch_size": "批次大小",
1333
+ "interpolation": "插值方式",
1334
+ "linear": "线性",
1335
+ "ease_in": "渐进",
1336
+ "ease_out": "渐出",
1337
+ "ease_in_out": "渐近渐出",
1338
+ "azimuth_points_string": "方位角",
1339
+ "elevation_points_string": "俯仰角"
1340
+ },
1341
+ "outputs": {
1342
+ "positive": "正面条件",
1343
+ "negative": "负面条件",
1344
+ "latent": "Latent"
1345
+ }
1346
+ },
1347
+ "SV3D_BatchSchedule": {
1348
+ "title": "SV3D_批次调度",
1349
+ "inputs": {
1350
+ "clip_vision": "CLIP视觉",
1351
+ "init_image": "图像",
1352
+ "vae": "VAE"
1353
+ },
1354
+ "widgets": {
1355
+ "width": "宽度",
1356
+ "height": "高度",
1357
+ "batch_size": "批次大小",
1358
+ "interpolation": "插值方式",
1359
+ "azimuth_points_string": "方位角",
1360
+ "elevation_points_string": "俯仰角"
1361
+ },
1362
+ "outputs": {
1363
+ "positive": "正面条件",
1364
+ "negative": "负面条件",
1365
+ "latent": "Latent"
1366
+ },
1367
+ "description": "使用插值调度安排 SV3D 的方位角和俯仰角数值。\n\n注意 SV3D 是视频模型,所以调度值必须递进。\n\nhttps://huggingface.co/stabilityai/sv3d"
1368
+ },
1369
+ "GLIGENTextBoxApplyBatch": {
1370
+ "title": "GLIGEN文本框应用(批次)",
1371
+ "inputs": {
1372
+ "conditioning_to": "条件",
1373
+ "clip": "CLIP",
1374
+ "gligen_textbox_model": "GLIGEN模型",
1375
+ "latents": "Latent",
1376
+ "coordinates": "坐标",
1377
+ "size_multiplier": "尺寸乘数"
1378
+ },
1379
+ "widgets": {
1380
+ "text": "文本",
1381
+ "width": "宽度",
1382
+ "height": "高度",
1383
+ "coordinates": "坐标",
1384
+ "interpolation": "插值方式"
1385
+ },
1386
+ "outputs": {
1387
+ "CONDITIONING": "条件",
1388
+ "IMAGE": "图像"
1389
+ }
1390
+ },
1391
+ "LoadResAdapterNormalization": {
1392
+ "title": "加载规格化ResAdapter",
1393
+ "inputs": {
1394
+ "model": "模型"
1395
+ },
1396
+ "widgets": {
1397
+ "resadapter_path": "ResAdapter路径"
1398
+ },
1399
+ "outputs": {
1400
+ "MODEL": "模型"
1401
+ }
1402
+ },
1403
+ "GLIGENTextBoxApplyBatchCoords": {
1404
+ "title": "GLIGEN文本框应用(批次坐标)",
1405
+ "inputs": {
1406
+ "conditioning_to": "条件",
1407
+ "latents": "Latent",
1408
+ "clip": "CLIP",
1409
+ "gligen_textbox_model": "GLIGEN模型",
1410
+ "coordinates": "坐标",
1411
+ "size_multiplier": "尺寸乘数"
1412
+ },
1413
+ "widgets": {
1414
+ "text": "文本",
1415
+ "width": "宽度",
1416
+ "height": "高度"
1417
+ },
1418
+ "outputs": {
1419
+ "conditioning": "条件",
1420
+ "coord_preview": "坐标预览"
1421
+ },
1422
+ "description": "这个节点允许在批次中调度 GLIGEN 文本框的位置,和 AnimateDiff-Evolved 一起使用。建议和 曲线编辑器 节点一起使用。\n\n GLIGEN模型可以在 管理器 的 “安装模型” 中下载。或直接在:https://huggingface.co/comfyanonymous/GLIGEN_pruned_safetensors/tree/main 下载。 \n \n 输入: \n- **Latent** 输入用于计算批次大小 \n- **CLIP** 是文本编码器,与其他CLIP输入相同 \n- **GLIGEN模型** 连接到 GLIGEN加载器 节点 \n- **坐标** 接收坐标点json字符串,和 曲线编辑器 节点兼容。 \n- **文本** 文本框位置的提示词 \n- **宽度** 和 **高度** 设置 GLIGEN文本框 的尺寸 \n \n输出:\n- **条件** 连接到 CLIP文本编码 和 采样器 中间 \n- **坐标预览** 用于预览坐标和BBox \n\n"
1423
+ },
1424
+ "CheckpointPerturbWeights": {
1425
+ "title": "Checkpoint参数扰动",
1426
+ "inputs": {
1427
+ "model": "模型"
1428
+ },
1429
+ "widgets": {
1430
+ "joint_blocks": "joint_blocks",
1431
+ "final_layer": "final_layer",
1432
+ "rest_of_the_blocks": "rest_of_the_blocks",
1433
+ "seed": "随机种",
1434
+ "control_before_generate": "运行前操作"
1435
+ },
1436
+ "outputs": {
1437
+ "MODEL": "模型"
1438
+ }
1439
+ },
1440
+ "Screencap_mss": {
1441
+ "title": "屏幕捕捉MSS",
1442
+ "widgets": {
1443
+ "x": "X",
1444
+ "y": "Y",
1445
+ "width": "宽度",
1446
+ "height": "高度",
1447
+ "num_frames": "帧数",
1448
+ "delay": "延迟"
1449
+ },
1450
+ "outputs": {
1451
+ "images": "图像"
1452
+ },
1453
+ "description": "按屏幕坐标捕捉区域。\n\n用于实时采样。"
1454
+ },
1455
+ "WebcamCaptureCV2": {
1456
+ "title": "相机捕捉CV2",
1457
+ "widgets": {
1458
+ "x": "X",
1459
+ "y": "Y",
1460
+ "width": "宽度",
1461
+ "height": "高度",
1462
+ "cam_index": "相机序号",
1463
+ "release": "release"
1464
+ },
1465
+ "outputs": {
1466
+ "image": "图像"
1467
+ },
1468
+ "description": "使用 CV2 调用网页相机捕捉屏幕。\n\n用于实时采样。"
1469
+ },
1470
+ "FluxBlockLoraLoader": {
1471
+ "title": "Flux Block LoRA 加载器",
1472
+ "inputs": {
1473
+ "model": "模型",
1474
+ "blocks": "block",
1475
+ "opt_lora_path": "LoRA路径(可选)"
1476
+ },
1477
+ "widgets": {
1478
+ "strength_model": "模型强度",
1479
+ "lora_name": "LoRA名称"
1480
+ },
1481
+ "outputs": {
1482
+ "model": "模型",
1483
+ "rank": "rank"
1484
+ }
1485
+ },
1486
+ "FluxBlockLoraSelect": {
1487
+ "title": "Flux Block LoRA 选择"
1488
+ },
1489
+ "LoadICLightUnet": {
1490
+ "title": "加载ICLightUnet",
1491
+ "inputs": {
1492
+ "model": "模型"
1493
+ },
1494
+ "widgets": {
1495
+ "model_path": "模型路径"
1496
+ },
1497
+ "outputs": {
1498
+ "MODEL": "模型"
1499
+ },
1500
+ "description": "加载ICLightUnet:加载一个 ICLightUnet 模型。(实验性)开发中 \n 另一种不好用但可以用的方法是在 https://huggingface.co/Kijai/iclight-comfy/blob/main/iclight_fc_converted.safetensors 下载模型,然后和 InstructPixToPix条件 节点一起使用。"
1501
+ },
1502
+ "StabilityAPI_SD3": {
1503
+ "title": "StabilityAPI SD3",
1504
+ "inputs": {
1505
+ "image": "图像"
1506
+ },
1507
+ "widgets": {
1508
+ "prompt": "提示词",
1509
+ "n_prompt": "负面提示词",
1510
+ "seed": "随机种",
1511
+ "control_before_generate": "运行前操作",
1512
+ "model": "模型",
1513
+ "aspect_ratio": "宽高比",
1514
+ "output_format": "输出格式",
1515
+ "api_key": "API Key",
1516
+ "img2img_strength": "图生图强度",
1517
+ "disable_metadata": "禁用元数据"
1518
+ },
1519
+ "outputs": {
1520
+ "IMAGE": "图像"
1521
+ },
1522
+ "description": "# 调用 Stability API\n\n尽量使用同一个key调用API,无论账号有多少个key。\n\n在 https://platform.stability.ai/account/keys 获取key,推荐创建包含key的 config.json 文件然后放到插件目录下。\n\n# 警告:\n\n即使开启了 disable_metadata(禁用元数据),如果工作流程中包含与此节点不同的保存节点,API 密钥也可能被保存到元数据中。\n\nSD3 每次生成需要 6.5 点数\n\nSD3-Turbo 每次生成需要 4 点数\n\n如果不连接图像输入,则使用 文生图 模式"
1523
+ },
1524
+ "GetImagesFromBatchIndexed": {
1525
+ "title": "从批次获取图像",
1526
+ "inputs": {
1527
+ "images": "图像"
1528
+ },
1529
+ "widgets": {
1530
+ "indexes": "序号"
1531
+ },
1532
+ "outputs": {
1533
+ "IMAGE": "图像"
1534
+ },
1535
+ "description": "按索引编号选择图像。"
1536
+ },
1537
+ "InsertImagesToBatchIndexed": {
1538
+ "title": "插入图像到索引批次",
1539
+ "inputs": {
1540
+ "original_images": "原图像",
1541
+ "images_to_insert": "插入图像"
1542
+ },
1543
+ "widgets": {
1544
+ "indexes": "索引"
1545
+ },
1546
+ "outputs": {
1547
+ "IMAGE": "图像"
1548
+ }
1549
+ },
1550
+ "LoadAndResizeImage": {
1551
+ "title": "加载并缩放图像",
1552
+ "widgets": {
1553
+ "image": "图像",
1554
+ "resize": "缩放",
1555
+ "width": "宽度",
1556
+ "height": "高度",
1557
+ "repeat": "复制",
1558
+ "keep_proportions": "固定宽高比",
1559
+ "divisible_by": "因数",
1560
+ "mask_channel": "遮罩通道",
1561
+ "upload": "上传"
1562
+ },
1563
+ "outputs": {
1564
+ "image": "图像",
1565
+ "mask": "遮罩",
1566
+ "width": "宽度",
1567
+ "height": "高度"
1568
+ }
1569
+ },
1570
+ "SplitImageChannels": {
1571
+ "title": "分离图像通道",
1572
+ "inputs": {
1573
+ "image": "图像"
1574
+ },
1575
+ "outputs": {
1576
+ "red": "红色",
1577
+ "green": "绿色",
1578
+ "blue": "蓝色",
1579
+ "mask": "遮罩"
1580
+ },
1581
+ "description": "分离图像为单通道图像,alpha通道分离为遮罩。"
1582
+ },
1583
+ "MergeImageChannels": {
1584
+ "title": "合并图像通道",
1585
+ "inputs": {
1586
+ "red": "红色",
1587
+ "green": "绿色",
1588
+ "blue": "蓝色",
1589
+ "mask": "遮罩"
1590
+ },
1591
+ "outputs": {
1592
+ "image": "图像"
1593
+ },
1594
+ "description": "合并通道为图像"
1595
+ },
1596
+ "PreviewAnimation": {
1597
+ "title": "预览动画",
1598
+ "inputs": {
1599
+ "images": "图像",
1600
+ "masks": "遮罩"
1601
+ },
1602
+ "widgets": {
1603
+ "fps": "帧率"
1604
+ }
1605
+ },
1606
+ "ImageBatchRepeatInterleaving": {
1607
+ "title": "复制图像批次",
1608
+ "inputs": {
1609
+ "images": "图像"
1610
+ },
1611
+ "widgets": {
1612
+ "repeats": "次数"
1613
+ },
1614
+ "outputs": {
1615
+ "IMAGE": "图像"
1616
+ },
1617
+ "description": "按指定次数复制批次中的图像。\n\n例如包含 5 个图像的批次:0,1,2,3,4\n\n重复 2 次后变为:0,0,1,1,2,2,3,3,4,4"
1618
+ },
1619
+ "ImageTransformByNormalizedAmplitude": {
1620
+ "title": "按规格化幅度变换图像",
1621
+ "inputs": {
1622
+ "normalized_amp": "规格化幅度",
1623
+ "image": "图像"
1624
+ },
1625
+ "widgets": {
1626
+ "zoom_scale": "缩放",
1627
+ "cumulative": "累加"
1628
+ },
1629
+ "outputs": {
1630
+ "IMAGE": "图像"
1631
+ },
1632
+ "description": "用于桥接 AudioScheduler 插件的节点:\n\nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler\n\n基于规格化振幅变换图像。"
1633
+ },
1634
+ "GetLatentsFromBatchIndexed": {
1635
+ "title": "按索引获取Latent",
1636
+ "inputs": {
1637
+ "latents": "Latent"
1638
+ },
1639
+ "widgets": {
1640
+ "indexes": "索引"
1641
+ },
1642
+ "outputs": {
1643
+ "LATENT": "Latent"
1644
+ }
1645
+ },
1646
+ "ImageUpscaleWithModelBatched": {
1647
+ "title": "图像批次通过模型放大",
1648
+ "inputs": {
1649
+ "upscale_model": "放大模型",
1650
+ "images": "图像"
1651
+ },
1652
+ "widgets": {
1653
+ "per_batch": "每批次"
1654
+ },
1655
+ "outputs": {
1656
+ "IMAGE": "图像"
1657
+ }
1658
+ },
1659
+ "RemapImageRange": {
1660
+ "title": "重映射图像范围",
1661
+ "inputs": {
1662
+ "image": "图像"
1663
+ },
1664
+ "widgets": {
1665
+ "min": "最小值",
1666
+ "max": "最大值",
1667
+ "clamp": "钳制"
1668
+ },
1669
+ "outputs": {
1670
+ "IMAGE": "图像"
1671
+ }
1672
+ },
1673
+
1674
+
1675
+ "NormalizedAmplitudeToMask": {
1676
+ "title": "规格化振幅到遮罩",
1677
+ "inputs": {
1678
+ "normalized_amp": "规格化幅度"
1679
+ },
1680
+ "widgets": {
1681
+ "width": "宽度",
1682
+ "height": "高度",
1683
+ "frame_offset": "帧偏移",
1684
+ "location_x": "位置_X",
1685
+ "location_y": "位置_Y",
1686
+ "size": "大小",
1687
+ "shape": "形状",
1688
+ "color": "颜色"
1689
+ },
1690
+ "outputs": {
1691
+ "MASK": "遮罩"
1692
+ },
1693
+ "description": "用于桥接 AudioScheduler 插件的节点:\n\nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler\n\n基于规格化振幅创建遮罩。"
1694
+ },
1695
+ "NormalizedAmplitudeToFloatList": {
1696
+ "title": "规格化振幅到浮点列表",
1697
+ "inputs": {
1698
+ "normalized_amp": "规格化幅度"
1699
+ },
1700
+ "outputs": {
1701
+ "FLOAT": "浮点"
1702
+ },
1703
+ "description": "用于桥接 AudioScheduler 插件的节点:\n\nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler\n\n基于规格化振幅创建浮点列表。"
1704
+ },
1705
+ "ScaleBatchPromptSchedule": {
1706
+ "title": "缩放提示词批次调度",
1707
+ "inputs": {
1708
+ "input_str": "字符串",
1709
+ "old_frame_count": "旧帧数",
1710
+ "new_frame_count": "新帧数"
1711
+ },
1712
+ "outputs": {
1713
+ "STRING": "字符串"
1714
+ }
1715
+ },
1716
+ "EffnetEncode": {
1717
+ "title": "Effnet编码",
1718
+ "inputs": {
1719
+ "image": "图像"
1720
+ },
1721
+ "outputs": {
1722
+ "LATENT": "Latent"
1723
+ }
1724
+ },
1725
+ "ImageNormalize_Neg1_To_1": {
1726
+ "title": "图像规格化-1到1",
1727
+ "inputs": {
1728
+ "images": "图像"
1729
+ },
1730
+ "outputs": {
1731
+ "IMAGE": "图像"
1732
+ },
1733
+ "description": "规格化图像到 [-1,1]"
1734
+ },
1735
+ "ImagePass": {
1736
+ "title": "图像桥接",
1737
+ "inputs": {
1738
+ "image": "图像"
1739
+ },
1740
+ "outputs": {
1741
+ "IMAGE": "图像"
1742
+ },
1743
+ "description": "传递图像到下一个节点"
1744
+ },
1745
+ "ImageResizeKJ": {
1746
+ "title": "图像缩放(KJ)",
1747
+ "inputs": {
1748
+ "image": "图像",
1749
+ "get_image_size": "参考图像",
1750
+ "width_input": "宽度",
1751
+ "height_input": "高度"
1752
+ },
1753
+ "widgets": {
1754
+ "width": "宽度",
1755
+ "height": "高度",
1756
+ "upscale_method": "缩放方法",
1757
+ "keep_proportions": "固定宽高比",
1758
+ "keep_proportion": "固定宽高比",
1759
+ "divisible_by": "因数",
1760
+ "crop": "裁剪"
1761
+ },
1762
+ "outputs": {
1763
+ "IMAGE": "图像",
1764
+ "width": "宽度",
1765
+ "height": "高度"
1766
+ },
1767
+ "description": "按指定宽高缩放图像。尺寸可由输入指定,最终输出优先级按以下规则排列:\n- 参考图像尺寸 \n- 宽度-输入 和 高度-输入 \n- 宽度 和 高度 \n \n固定宽高比会按最高尺寸固定宽高比。"
1768
+ },
1769
+ "CameraPoseVisualizer": {
1770
+ "title": "相机姿态预览",
1771
+ "widgets": {
1772
+ "pose_file_path": "姿态文件路径",
1773
+ "sample_stride": "采样步长",
1774
+ "frames": "帧数",
1775
+ "use_viewer": "使用预览器"
1776
+ },
1777
+ "outputs": {
1778
+ "IMAGE": "图像"
1779
+ }
1780
+ },
1781
+ "Sleep": {
1782
+ "title": "待机",
1783
+ "inputs": {
1784
+ "input": "输入"
1785
+ },
1786
+ "widgets": {
1787
+ "minutes": "分钟",
1788
+ "seconds": "秒数"
1789
+ },
1790
+ "outputs": {
1791
+ "*": "*"
1792
+ }
1793
+ },
1794
+ "Intrinsic_lora_sampling": {
1795
+ "title": "IntrinsicLoRA采样",
1796
+ "inputs": {
1797
+ "model": "模型",
1798
+ "clip": "CLIP",
1799
+ "vae": "VAE",
1800
+ "image": "图像",
1801
+ "optional_latent": "Latent(可选)"
1802
+ },
1803
+ "widgets": {
1804
+ "lora_name": "LoRA名称",
1805
+ "task": "任务",
1806
+ "text": "文本",
1807
+ "per_batch": "每批次"
1808
+ },
1809
+ "outputs": {
1810
+ "LATENT": "Latent",
1811
+ "IMAGE": "图像"
1812
+ }
1813
+ },
1814
+ "ImageAndMaskPreview": {
1815
+ "title": "图像与遮罩预览",
1816
+ "inputs": {
1817
+ "image": "图像",
1818
+ "mask": "遮罩"
1819
+ },
1820
+ "widgets": {
1821
+ "mask_opacity": "遮罩不透明",
1822
+ "mask_color": "遮罩颜色",
1823
+ "pass_through": "穿透"
1824
+ },
1825
+ "outputs": {
1826
+ "composite": "图像"
1827
+ },
1828
+ "description": "预览图像或遮罩,同时输入图像和遮罩时会合并遮罩到图像上。\n当 穿透 开启时将禁用合成,用于通过合并为视频节点的预览。"
1829
+ },
1830
+ "MaskOrImageToWeight": {
1831
+ "title": "遮罩或图像到权重",
1832
+ "inputs": {
1833
+ "images": "图像",
1834
+ "masks": "遮罩"
1835
+ },
1836
+ "widgets": {
1837
+ "output_type": "输出类型"
1838
+ },
1839
+ "outputs": {
1840
+ "FLOAT": "浮点"
1841
+ },
1842
+ "description": "获取遮罩或图像批次的平均值,并按 输出类型 输出结果。"
1843
+ },
1844
+ "MaskOrImageToWeigh": {
1845
+ "title": "遮罩或图像到权重",
1846
+ "inputs": {
1847
+ "images": "图像",
1848
+ "masks": "遮罩"
1849
+ },
1850
+ "widgets": {
1851
+ "output_type": "输出类型"
1852
+ },
1853
+ "outputs": {
1854
+ "FLOAT": "浮点"
1855
+ }
1856
+ },
1857
+ "WeightScheduleConvert": {
1858
+ "title": "权重调度转换",
1859
+ "inputs": {
1860
+ "input_values": "输入值"
1861
+ },
1862
+ "widgets": {
1863
+ "output_type": "输出类型"
1864
+ },
1865
+ "outputs": {
1866
+ "FLOAT": "浮点"
1867
+ }
1868
+ },
1869
+ "FloatToMask": {
1870
+ "title": "浮点到遮罩",
1871
+ "inputs": {
1872
+ "input_values": "输入值"
1873
+ },
1874
+ "widgets": {
1875
+ "width": "宽度",
1876
+ "height": "高度"
1877
+ },
1878
+ "outputs": {
1879
+ "MASK": "遮罩"
1880
+ }
1881
+ },
1882
+ "ImagePadForOutpaintMasked": {
1883
+ "title": "外补画板(遮罩)",
1884
+ "inputs": {
1885
+ "image": "图像",
1886
+ "mask": "遮罩"
1887
+ },
1888
+ "widgets": {
1889
+ "left": "左",
1890
+ "top": "上",
1891
+ "right": "右",
1892
+ "bottom": "下",
1893
+ "feathering": "羽化"
1894
+ },
1895
+ "outputs": {
1896
+ "IMAGE": "图像",
1897
+ "MASK": "遮罩"
1898
+ }
1899
+ },
1900
+ "ImagePadForOutpaintTargetSize": {
1901
+ "title": "外补画板(尺寸)",
1902
+ "inputs": {
1903
+ "image": "图像",
1904
+ "mask": "遮罩"
1905
+ },
1906
+ "widgets": {
1907
+ "target_width": "目标宽度",
1908
+ "target_height": "目标高度",
1909
+ "feathering": "羽化",
1910
+ "upscale_method": "缩放方法"
1911
+ },
1912
+ "outputs": {
1913
+ "IMAGE": "图像",
1914
+ "MASK": "遮罩"
1915
+ }
1916
+ },
1917
+ "DownloadAndLoadCLIPSeg": {
1918
+ "title": "加载CLIPSeg",
1919
+ "widgets": {
1920
+ "model": "模型"
1921
+ },
1922
+ "outputs": {
1923
+ "clipseg_model": "CLIPSeg模型"
1924
+ },
1925
+ "description": "使用 huggingface_hub 下载 CLIPSeg 模型到 Comfy/models/clip_seg"
1926
+ },
1927
+ "GetMaskSizeAndCount": {
1928
+ "title": "获取遮罩尺寸数量",
1929
+ "inputs": {
1930
+ "mask": "遮罩"
1931
+ },
1932
+ "outputs": {
1933
+ "mask": "遮罩",
1934
+ "width": "宽度",
1935
+ "height": "高度",
1936
+ "count": "数量"
1937
+ },
1938
+ "description": "输出遮罩的宽度、高度、批次大小"
1939
+ },
1940
+ "GetImageSizeAndCount": {
1941
+ "title": "获取图像尺寸数量",
1942
+ "inputs": {
1943
+ "image": "图像"
1944
+ },
1945
+ "outputs": {
1946
+ "image": "图像",
1947
+ "width": "宽度",
1948
+ "height": "高度",
1949
+ "count": "数量"
1950
+ },
1951
+ "description": "输出图像的宽度、高度、批次大小"
1952
+ },
1953
+ "ModelPassThrough": {
1954
+ "title": "模型桥接",
1955
+ "inputs": {
1956
+ "model": "模型"
1957
+ },
1958
+ "outputs": {
1959
+ "model": "模型"
1960
+ },
1961
+ "description": "将模型传递到下一个节点"
1962
+ },
1963
+ "ModelSaveKJ": {
1964
+ "title": "保存模型KJ",
1965
+ "inputs": {
1966
+ "model": "模型"
1967
+ },
1968
+ "widgets": {
1969
+ "filename_prefix": "文件名前缀",
1970
+ "model_key_prefix": "模型键前缀"
1971
+ }
1972
+ },
1973
+ "FloatToSigmas": {
1974
+ "title": "浮点到Sigmas",
1975
+ "inputs": {
1976
+ "float_list": "浮点列表"
1977
+ },
1978
+ "outputs": {
1979
+ "SIGMAS": "Sigmas"
1980
+ },
1981
+ "description": "从浮点列表创建sigmas tensor"
1982
+ },
1983
+ "WeightScheduleExtend": {
1984
+ "title": "权重调度扩展",
1985
+ "inputs": {
1986
+ "input_values_1": "输入值_1",
1987
+ "input_values_2": "输入值_2"
1988
+ },
1989
+ "widgets": {
1990
+ "output_type": "输出类型"
1991
+ },
1992
+ "outputs": {
1993
+ "FLOAT": "浮点"
1994
+ },
1995
+ "description": "扩展不同的值列表/系列,并根据需要进行转换"
1996
+ },
1997
+ "SplineEditor": {
1998
+ "title": "曲线编辑器",
1999
+ "widgets": {
2000
+ "points_store": "点位置",
2001
+ "mask_width": "遮罩宽度",
2002
+ "mask_height": "遮罩高度",
2003
+ "points_to_sample": "采样精度",
2004
+ "sampling_method": "采样方法",
2005
+ "interpolation": "插值方式",
2006
+ "tension": "tension",
2007
+ "repeat_output": "重复输出",
2008
+ "float_output_type": "浮点输出类型",
2009
+ "min_value": "最小值",
2010
+ "max_value": "最大值",
2011
+ "New spline": "新曲线"
2012
+ },
2013
+ "outputs": {
2014
+ "mask": "遮罩",
2015
+ "coord_str": "坐标",
2016
+ "float": "浮点",
2017
+ "count": "数量",
2018
+ "normalized_str": "规格化字符串"
2019
+ },
2020
+ "description": "# 开发中 \n尽量不要在工作流中使用这个节点,可能会遇到大量bug并且不稳定!! \n \n##用于创建各类值调度的图形化编辑器 \n\n**Shift+左键单击** 添加新控制点,**Ctrl+左键单击** 创建中间控制点,**右键单击** 移除控制点。\n不能删除端点。\n\n 右键背景会调出菜单:一些视觉设置,不影响输出效果:\n - 控制柄可见性 \n - 显示采样点 \n\n**采样精度** 设置采样点数量,从样条线本身返回采样点,和实际控制点无关,由插值类型决定。\n采样方法:\n - 时间:沿时间轴采样,用于调度 \n - 路径:沿曲线路径采样,用于坐标 \n\n 输出:\n - 遮罩批次 \n 适用于任何接收遮罩的节点 \n - 浮点列表 \n 适用于 IPAdapter权重组 \n - pandas series \n 适用于 适用于接收 Fizz批次调度 节点 的节点 \n - torch tensor \n 适用于不明节点"
2021
+ },
2022
+
2023
+ "DifferentialDiffusionAdvanced": {
2024
+ "title": "差异扩散(高级)",
2025
+ "inputs": {
2026
+ "model": "模型",
2027
+ "samples": "Latent",
2028
+ "mask": "遮罩"
2029
+ },
2030
+ "widgets": {
2031
+ "multiplier": "乘数"
2032
+ },
2033
+ "outputs": {
2034
+ "MODEL": "模型",
2035
+ "LATENT": "Latent"
2036
+ }
2037
+ },
2038
+ "LoadImagesFromFolderKJ": {
2039
+ "title": "加载图像(文件夹)",
2040
+ "widgets": {
2041
+ "folder": "文件夹",
2042
+ "image_load_cap": "加载上限",
2043
+ "start_index": "起始编号"
2044
+ },
2045
+ "outputs": {
2046
+ "image": "图像",
2047
+ "mask": "遮罩",
2048
+ "count": "数量",
2049
+ "image_path": "图像路径"
2050
+ }
2051
+ }
2052
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-Kolors-MZ.json ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "MZ_ChatGLM3Loader": {
3
+ "title": "ChatGLM3加载器",
4
+ "widgets": {
5
+ "chatglm3_checkpoint": "ChatGLM3模型"
6
+ },
7
+ "outputs": {
8
+ "chatglm3_model": "ChatGLM3"
9
+ }
10
+ },
11
+ "MZ_ChatGLM3_V2": {
12
+ "title": "ChatGLM3编码_V2",
13
+ "inputs": {
14
+ "chatglm3_model": "ChatGLM3"
15
+ },
16
+ "widgets": {
17
+ "text": "文本"
18
+ },
19
+ "outputs": {
20
+ "CONDITIONING": "条件"
21
+ }
22
+ },
23
+ "MZ_ChatGLM3_Advance_V2": {
24
+ "title": "ChatGLM3编码_V2高级",
25
+ "inputs": {
26
+ "chatglm3_model": "ChatGLM3"
27
+ },
28
+ "widgets": {
29
+ "text": "文本",
30
+ "width": "宽度",
31
+ "height": "高度",
32
+ "crop_w": "裁剪宽度",
33
+ "crop_h": "裁剪高度",
34
+ "target_width": "目标宽度",
35
+ "target_height": "目标高度"
36
+ },
37
+ "outputs": {
38
+ "CONDITIONING": "条件"
39
+ }
40
+ },
41
+ "MZ_ChatGLM3Embeds2Conditioning": {
42
+ "title": "ChatGLM3嵌入组到条件",
43
+ "inputs": {
44
+ "kolors_embeds": "Kolors嵌入组"
45
+ },
46
+ "widgets": {
47
+ "width": "宽度",
48
+ "height": "高度",
49
+ "crop_w": "裁剪宽度",
50
+ "crop_h": "裁剪高度",
51
+ "target_width": "目标宽度",
52
+ "target_height": "目标高度"
53
+ },
54
+ "outputs": {
55
+ "positive": "正面条件",
56
+ "negative": "负面条件"
57
+ }
58
+ },
59
+ "MZ_KolorsCheckpointLoaderSimple": {
60
+ "title": "Kolors模型加载器(简易)",
61
+ "widgets": {
62
+ "ckpt_name": "模型名称"
63
+ },
64
+ "outputs": {
65
+ "MODEL": "模型",
66
+ "VAE": "VAE"
67
+ }
68
+ },
69
+ "MZ_KolorsControlNetLoader": {
70
+ "title": "KolorsControlNet加载器",
71
+ "widgets": {
72
+ "control_net_name": "ControlNet名称"
73
+ },
74
+ "outputs": {
75
+ "ControlNet": "ControlNet"
76
+ }
77
+ },
78
+ "MZ_KolorsUNETLoaderV2": {
79
+ "title": "KolorsUNET加载器_V2",
80
+ "widgets": {
81
+ "unet_name": "UNET名称"
82
+ },
83
+ "outputs": {
84
+ "model": "模型"
85
+ }
86
+ },
87
+ "MZ_KolorsControlNetPatch": {
88
+ "title": "KolorsControlNet转换",
89
+ "inputs": {
90
+ "control_net": "ControlNet",
91
+ "model": "模型"
92
+ },
93
+ "outputs": {
94
+ "CONTROL_NET": "ControlNet"
95
+ }
96
+ },
97
+ "MZ_ApplySDXLSamplingSettings": {
98
+ "title": "应用SDXL采样设置",
99
+ "inputs": {
100
+ "model": "模型"
101
+ },
102
+ "outputs": {
103
+ "MODEL": "模型"
104
+ }
105
+ },
106
+ "MZ_ApplyCUDAGenerator": {
107
+ "title": "应用CUDA生成器",
108
+ "inputs": {
109
+ "model": "模型"
110
+ },
111
+ "outputs": {
112
+ "MODEL": "模型"
113
+ }
114
+ }
115
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-KwaiKolorsWrapper.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "DownloadAndLoadKolorsModel": {
3
+ "title": "下载并加载Kolors模型",
4
+ "widgets": {
5
+ "model": "模型",
6
+ "precision": "精度"
7
+ },
8
+ "outputs": {
9
+ "kolors_model": "Kolors模型"
10
+ }
11
+ },
12
+ "DownloadAndLoadChatGLM3": {
13
+ "title": "下载并加载ChatGLM3",
14
+ "widgets": {
15
+ "precision": "精度"
16
+ },
17
+ "outputs": {
18
+ "chatglm3_model": "ChatGLM3"
19
+ }
20
+ },
21
+ "KolorsSampler": {
22
+ "title": "Kolors采样器",
23
+ "inputs": {
24
+ "kolors_model": "Kolors模型",
25
+ "kolors_embeds": "Kolors嵌入组",
26
+ "latent": "Latent"
27
+ },
28
+ "widgets": {
29
+ "width": "宽度",
30
+ "height": "高度",
31
+ "seed": "随机种",
32
+ "control_after_generate": "运行后操作",
33
+ "steps": "步数",
34
+ "cfg": "CFG",
35
+ "scheduler": "调度器",
36
+ "denoise_strength": "降噪"
37
+ },
38
+ "outputs": {
39
+ "latent": "Latent"
40
+ }
41
+ },
42
+ "KolorsTextEncode": {
43
+ "title": "Kolors文本编码",
44
+ "inputs": {
45
+ "chatglm3_model": "ChatGLM3"
46
+ },
47
+ "widgets": {
48
+ "prompt": "正面提示词",
49
+ "negative_prompt": "负面提示词",
50
+ "num_images_per_prompt": "图像数量"
51
+ },
52
+ "outputs": {
53
+ "kolors_embeds": "Kolors嵌入组"
54
+ }
55
+ },
56
+ "LoadChatGLM3": {
57
+ "Title": "加载ChatGLM3",
58
+ "widgets": {
59
+ "chatglm3_checkpoint": "ChatGLM3模型"
60
+ },
61
+ "outputs": {
62
+ "chatglm3_model": "ChatGLM3"
63
+ }
64
+ }
65
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-LCM.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "LCMSampler": {
3
+ "title": "LCM采样器",
4
+ "widgets": {
5
+ "seed": "随机种",
6
+ "control_after_generate": "运行后操作",
7
+ "fixed": "固定",
8
+ "increment": "增加",
9
+ "decrement": "减少",
10
+ "randomize": "随机",
11
+ "steps": "步数",
12
+ "cfg": "CFG",
13
+ "size": "分辨率",
14
+ "num_images": "图像数量",
15
+ "use_fp16": "使用fp16",
16
+ "positive_prompt": "正面条件"
17
+ },
18
+ "outputs": {
19
+ "IMAGE": "图像"
20
+ }
21
+ },
22
+ "LCM_Sampler": {
23
+ "title": "LCM采样器",
24
+ "widgets": {
25
+ "seed": "随机种",
26
+ "control_after_generate": "运行后操作",
27
+ "fixed": "固定",
28
+ "increment": "增加",
29
+ "decrement": "减少",
30
+ "randomize": "随机",
31
+ "steps": "步数",
32
+ "cfg": "CFG",
33
+ "height": "高度",
34
+ "width": "宽度",
35
+ "num_images": "图像数量",
36
+ "use_fp16": "使用fp16",
37
+ "positive_prompt": "正面条件"
38
+ },
39
+ "outputs": {
40
+ "IMAGE": "图像"
41
+ }
42
+ },
43
+ "LCM_img2img_Sampler": {
44
+ "title": "LCM图生图采样器",
45
+ "widgets": {
46
+ "seed": "随机种",
47
+ "control_after_generate": "运行后操作",
48
+ "fixed": "固定",
49
+ "increment": "增加",
50
+ "decrement": "减少",
51
+ "randomize": "随机",
52
+ "prompt_strength": "提示词强度",
53
+ "steps": "步数",
54
+ "cfg": "CFG",
55
+ "height": "高度",
56
+ "width": "宽度",
57
+ "num_images": "图像数量",
58
+ "use_fp16": "使用fp16",
59
+ "positive_prompt": "正面条件"
60
+ },
61
+ "outputs": {
62
+ "IMAGE": "图像"
63
+ }
64
+ }
65
+ }
page_2/AIGODLIKE/AIGODLIKE-ComfyUI-Translation/ComfyUI-LaMA-Preprocessor.json ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "lamaPreprocessor": {
3
+ "title": "LaMa预处理器",
4
+ "inputs": {
5
+ "pixels": "图像",
6
+ "vae": "VAE",
7
+ "mask": "遮罩"
8
+ },
9
+ "widgets": {
10
+ "horizontal_expansion": "水平扩展",
11
+ "vertical_expansion": "垂直扩展"
12
+ },
13
+ "outputs": {
14
+ "LaMa Preprocessed Image": "图像",
15
+ "LaMa Preprocessed Latent": "Latent"
16
+ }
17
+ }
18
+ }