ComfyPilotComfyPilot
工作流 / LLM / Claude: Opus 5
Claude: Opus 5

Claude: Opus 5

Claude: Opus 5

加载图像并输入提示词,与Claude Opus 5互动,这是一个能力强大且经济高效的AI模型,擅长编码、知识工作和问题解决。非常适合软件工程使用例、需要视觉分析的科学研究和日常生产力提升,配有一位周到、主动的助手。

LLM 6 个节点 1 个输入 26 次使用 ComfyUI ≥ 0.29.0 ComfyUI 12 KB

下载工作流 JSON 查看官方来源

下载后把文件拖进 ComfyUI 窗口即可打开。

节点构成

ClaudeNode × 1
LoadImage × 1
SaveText × 1
PrimitiveStringMultiline × 1
PreviewAny × 1
70bc0003-66ee-48a5-bea3-7a0949fc30b5 × 1

官方标注的模型

Claude

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

1{
2 "id": "ac859c0d-0942-4e39-9252-fa689a086457",
3 "revision": 0,
4 "last_node_id": 17,
5 "last_link_id": 33,
6 "nodes": [
7 {
8 "id": 1,
9 "type": "ClaudeNode",
10 "pos": [
11 -140,
12 460
13 ],
14 "size": [
15 410,
16 282
17 ],
18 "flags": [],
19 "order": 2,
20 "mode": 0,
21 "showAdvanced": false,
22 "inputs": [
23 {
24 "label": "image_1",
25 "name": "images.image_1",
26 "shape": 7,
27 "type": "IMAGE",
28 "link": 31
29 },
30 {
31 "label": "image_2",
32 "name": "images.image_2",
33 "shape": 7,
34 "type": "IMAGE",
35 "link": null
36 },
37 {
38 "name": "prompt",
39 "type": "STRING",
40 "widget": {
41 "name": "prompt"
42 },
43 "link": 32
44 }
45 ],
46 "outputs": [
47 {
48 "name": "STRING",
49 "type": "STRING",
50 "links": [
51 33
52 ]
53 }
54 ],
55 "properties": {
56 "Node name for S&R": "ClaudeNode"
57 },
58 "widgets_values": [
59 "",
60 "Opus 5",
61 32768,
62 "high",
63 1299859456,
64 "randomize",
65 ""
66 ],
67 "color": "#432",
68 "bgcolor": "#653"
69 },
70 {
71 "id": 12,
72 "type": "LoadImage",
73 "pos": [
74 -500,
75 450
76 ],
77 "size": [
78 290,
79 370
80 ],
81 "flags": [],
82 "order": 0,
83 "mode": 0,
84 "inputs": [],
85 "outputs": [
86 {
87 "name": "IMAGE",
88 "type": "IMAGE",
89 "links": [
90 31
91 ]
92 },
93 {
94 "name": "MASK",
95 "type": "MASK",
96 "links": null
97 }
98 ],
99 "properties": {
100 "Node name for S&R": "LoadImage"
101 },
102 "widgets_values": [
103 "blue_poppies_field.png",
104 "image"
105 ]
106 },
107 {
108 "id": 13,
109 "type": "SaveText",
110 "pos": [
111 970,
112 460
113 ],
114 "size": [
115 400,
116 420
117 ],
118 "flags": [],
119 "order": 5,
120 "mode": 0,
121 "inputs": [
122 {
123 "name": "text",
124 "type": "STRING",
125 "link": 25
126 }
127 ],
128 "outputs": [
129 {
130 "name": "text",
131 "type": "STRING",
132 "links": null
133 }
134 ],
135 "properties": {
136 "Node name for S&R": "SaveText"
137 },
138 "widgets_values": [
139 "Claude/Opus_5",
140 "txt"
141 ]
142 },
143 {
144 "id": 14,
145 "type": "PrimitiveStringMultiline",
146 "pos": [
147 -610,
148 880
149 ],
150 "size": [
151 410,
152 360
153 ],
154 "flags": {
155 "collapsed": false
156 },
157 "order": 1,
158 "mode": 0,
159 "inputs": [],
160 "outputs": [
161 {
162 "name": "STRING",
163 "type": "STRING",
164 "links": [
165 27,
166 32
167 ]
168 }
169 ],
170 "title": "Text (User Prompt)",
171 "properties": {
172 "Node name for S&R": "PrimitiveStringMultiline"
173 },
174 "widgets_values": [
175 "Analyze all visual features of the image, generate standard AI art positive prompt.\nExtract subject, character pose, composition, camera angle, lighting, color palette, texture, art style, rendering type, background and details.\nArrange content in order: subject, composition & camera, lighting & color, texture & style, image quality. Separate words with commas.\nOnly output positive prompt, no extra explanations, no negative prompts."
176 ]
177 },
178 {
179 "id": 15,
180 "type": "PreviewAny",
181 "pos": [
182 330,
183 460
184 ],
185 "size": [
186 270,
187 290
188 ],
189 "flags": [],
190 "order": 3,
191 "mode": 0,
192 "inputs": [
193 {
194 "name": "source",
195 "type": "*",
196 "link": 33
197 }
198 ],
199 "outputs": [
200 {
201 "name": "STRING",
202 "type": "STRING",
203 "links": [
204 28
205 ]
206 }
207 ],
208 "properties": {
209 "Node name for S&R": "PreviewAny"
210 },
211 "widgets_values": []
212 },
213 {
214 "id": 16,
215 "type": "70bc0003-66ee-48a5-bea3-7a0949fc30b5",
216 "pos": [
217 660,
218 460
219 ],
220 "size": [
221 250,
222 280
223 ],
224 "flags": [],
225 "order": 4,
226 "mode": 0,
227 "inputs": [
228 {
229 "label": "prompt",
230 "name": "string_b",
231 "type": "STRING",
232 "widget": {
233 "name": "string_b"
234 },
235 "link": 27
236 },
237 {
238 "label": "output",
239 "name": "string_b_1",
240 "type": "STRING",
241 "widget": {
242 "name": "string_b_1"
243 },
244 "link": 28
245 }
246 ],
247 "outputs": [
248 {
249 "name": "STRING",
250 "type": "STRING",
251 "links": [
252 25
253 ]
254 }
255 ],
256 "properties": {
257 "previewExposures": []
258 },
259 "widgets_values": [
260 "",
261 ""
262 ]
263 }
264 ],
265 "links": [
266 [
267 25,
268 16,
269 0,
270 13,
271 0,
272 "STRING"
273 ],
274 [
275 27,
276 14,
277 0,
278 16,
279 0,
280 "STRING"
281 ],
282 [
283 28,
284 15,
285 0,
286 16,
287 1,
288 "STRING"
289 ],
290 [
291 31,
292 12,
293 0,
294 1,
295 0,
296 "IMAGE"
297 ],
298 [
299 32,
300 14,
301 0,
302 1,
303 2,
304 "STRING"
305 ],
306 [
307 33,
308 1,
309 0,
310 15,
311 0,
312 "STRING"
313 ]
314 ],
315 "groups": [],
316 "definitions": {
317 "subgraphs": [
318 {
319 "id": "70bc0003-66ee-48a5-bea3-7a0949fc30b5",
320 "version": 1,
321 "state": {
322 "lastGroupId": 0,
323 "lastNodeId": 17,
324 "lastLinkId": 33,
325 "lastRerouteId": 0
326 },
327 "revision": 0,
328 "config": [],
329 "name": "Format Output",
330 "inputNode": {
331 "id": -10,
332 "bounding": [
333 492,
334 251,
335 128,
336 88
337 ]
338 },
339 "outputNode": {
340 "id": -20,
341 "bounding": [
342 1630,
343 261,
344 128,
345 68
346 ]
347 },
348 "inputs": [
349 {
350 "id": "98b260aa-97cb-4c0c-a23b-c112110a86ab",
351 "name": "string_b",
352 "type": "STRING",
353 "linkIds": [
354 18
355 ],
356 "label": "prompt",
357 "pos": [
358 596,
359 275
360 ]
361 },
362 {
363 "id": "5fd17593-37c5-450a-8928-72d2971fca23",
364 "name": "string_b_1",
365 "type": "STRING",
366 "linkIds": [
367 19
368 ],
369 "label": "output",
370 "pos": [
371 596,
372 295
373 ]
374 }
375 ],
376 "outputs": [
377 {
378 "id": "3e51d9a9-eada-4386-bd38-a856b8a32500",
379 "name": "STRING",
380 "type": "STRING",
381 "linkIds": [
382 14
383 ],
384 "localized_name": "STRING",
385 "pos": [
386 1654,
387 285
388 ]
389 }
390 ],
391 "widgets": [],
392 "nodes": [
393 {
394 "id": 7,
395 "type": "StringConcatenate",
396 "pos": [
397 680,
398 30
399 ],
400 "size": [
401 400,
402 250
403 ],
404 "flags": [],
405 "order": 1,
406 "mode": 0,
407 "inputs": [
408 {
409 "localized_name": "string_b",
410 "name": "string_b",
411 "type": "STRING",
412 "widget": {
413 "name": "string_b"
414 },
415 "link": 19
416 }
417 ],
418 "outputs": [
419 {
420 "localized_name": "STRING",
421 "name": "STRING",
422 "type": "STRING",
423 "links": [
424 9
425 ]
426 }
427 ],
428 "properties": {
429 "Node name for S&R": "StringConcatenate"
430 },
431 "widgets_values": [
432 "\n\nOUTPUT:\n\n",
433 "",
434 ""
435 ]
436 },
437 {
438 "id": 6,
439 "type": "StringConcatenate",
440 "pos": [
441 690,
442 340
443 ],
444 "size": [
445 400,
446 250
447 ],
448 "flags": [],
449 "order": 0,
450 "mode": 0,
451 "inputs": [
452 {
453 "localized_name": "string_b",
454 "name": "string_b",
455 "type": "STRING",
456 "widget": {
457 "name": "string_b"
458 },
459 "link": 18
460 }
461 ],
462 "outputs": [
463 {
464 "localized_name": "STRING",
465 "name": "STRING",
466 "type": "STRING",
467 "links": [
468 13
469 ]
470 }
471 ],
472 "properties": {
473 "Node name for S&R": "StringConcatenate"
474 },
475 "widgets_values": [
476 "USER PROMPT:\n\n",
477 "",
478 ""
479 ]
480 },
481 {
482 "id": 8,
483 "type": "StringConcatenate",
484 "pos": [
485 1170,
486 30
487 ],
488 "size": [
489 400,
490 250
491 ],
492 "flags": [],
493 "order": 2,
494 "mode": 0,
495 "inputs": [
496 {
497 "localized_name": "string_a",
498 "name": "string_a",
499 "type": "STRING",
500 "widget": {
501 "name": "string_a"
502 },
503 "link": 13
504 },
505 {
506 "localized_name": "string_b",
507 "name": "string_b",
508 "type": "STRING",
509 "widget": {
510 "name": "string_b"
511 },
512 "link": 9
513 }
514 ],
515 "outputs": [
516 {
517 "localized_name": "STRING",
518 "name": "STRING",
519 "type": "STRING",
520 "links": [
521 14
522 ]
523 }
524 ],
525 "properties": {
526 "Node name for S&R": "StringConcatenate"
527 },
528 "widgets_values": [
529 "",
530 "",
531 ""
532 ]
533 }
534 ],
535 "groups": [],
536 "links": [
537 {
538 "id": 13,
539 "origin_id": 6,
540 "origin_slot": 0,
541 "target_id": 8,
542 "target_slot": 0,
543 "type": "STRING"
544 },
545 {
546 "id": 9,
547 "origin_id": 7,
548 "origin_slot": 0,
549 "target_id": 8,
550 "target_slot": 1,
551 "type": "STRING"
552 },
553 {
554 "id": 14,
555 "origin_id": 8,
556 "origin_slot": 0,
557 "target_id": -20,
558 "target_slot": 0,
559 "type": "STRING"
560 },
561 {
562 "id": 18,
563 "origin_id": -10,
564 "origin_slot": 0,
565 "target_id": 6,
566 "target_slot": 0,
567 "type": "STRING"
568 },
569 {
570 "id": 19,
571 "origin_id": -10,
572 "origin_slot": 1,
573 "target_id": 7,
574 "target_slot": 0,
575 "type": "STRING"
576 }
577 ],
578 "extra": []
579 }
580 ]
581 },
582 "config": [],
583 "extra": {
584 "ds": {
585 "scale": 0.7840800000000006,
586 "offset": [
587 532.1575821924469,
588 136.38268898378823
589 ]
590 },
591 "frontendVersion": "1.47.10"
592 },
593 "version": 0.4
594}