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工作流 / 角色与时尚 / 角色 ×4 场景探索
角色 ×4 场景探索

角色 ×4 场景探索

Character × 4 Scene Explorer

上传参考图并生成1x4网格。选择所需图像并使用Nano Banana Pro进行放大/优化。

角色与时尚 18 个节点 1 个输入 12 次使用 ComfyUI ≥ 0.15.0 hellorob 76 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

SaveImage × 7
Reroute × 2
GeminiImage2Node × 2
PrimitiveStringMultiline × 2
be0242a4-20b1-44ca-afdd-d7518c2370c7 × 1
LoadImage × 1
PrimitiveInt × 1
9ba355a9-d63f-4633-96b6-27c01a26e0a4 × 1
RegexReplace × 1

官方标注的模型

Google Gemini ImageNano Banana Pro

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

1{
2 "id": "0c8712fb-fe59-4ad3-8241-ada3091f7a93",
3 "revision": 0,
4 "last_node_id": 24,
5 "last_link_id": 28,
6 "nodes": [
7 {
8 "id": 18,
9 "type": "SaveImage",
10 "pos": [
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13 ],
14 "size": [
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16 300
17 ],
18 "flags": [],
19 "order": 16,
20 "mode": 0,
21 "inputs": [
22 {
23 "name": "images",
24 "type": "IMAGE",
25 "link": 20
26 }
27 ],
28 "outputs": [],
29 "title": "Save Selected Image",
30 "properties": {
31 "cnr_id": "comfy-core",
32 "ver": "0.4.0",
33 "Node name for S&R": "SaveImage"
34 },
35 "widgets_values": [
36 "ComfyUI-selected_image"
37 ]
38 },
39 {
40 "id": 14,
41 "type": "be0242a4-20b1-44ca-afdd-d7518c2370c7",
42 "pos": [
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44 420.00001454720643
45 ],
46 "size": [
47 258.33333333333337,
48 80
49 ],
50 "flags": {
51 "collapsed": false
52 },
53 "order": 10,
54 "mode": 0,
55 "inputs": [
56 {
57 "label": "ref_image",
58 "name": "image",
59 "type": "IMAGE",
60 "link": 23
61 },
62 {
63 "label": "images",
64 "name": "image_1",
65 "type": "IMAGE",
66 "link": 25
67 },
68 {
69 "name": "a",
70 "type": "INT,FLOAT",
71 "link": 24
72 }
73 ],
74 "outputs": [
75 {
76 "label": "images",
77 "name": "IMAGE",
78 "type": "IMAGE",
79 "links": []
80 },
81 {
82 "label": "selected_image",
83 "name": "IMAGE_1",
84 "type": "IMAGE",
85 "links": [
86 18,
87 20
88 ]
89 }
90 ],
91 "properties": {
92 "proxyWidgets": [],
93 "cnr_id": "comfy-core",
94 "ver": "0.3.76"
95 },
96 "widgets_values": []
97 },
98 {
99 "id": 1,
100 "type": "LoadImage",
101 "pos": [
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103 264.9999794268028
104 ],
105 "size": [
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107 540
108 ],
109 "flags": [],
110 "order": 0,
111 "mode": 0,
112 "inputs": [],
113 "outputs": [
114 {
115 "name": "IMAGE",
116 "type": "IMAGE",
117 "links": [
118 1,
119 21
120 ]
121 },
122 {
123 "name": "MASK",
124 "type": "MASK",
125 "links": null
126 }
127 ],
128 "properties": {
129 "cnr_id": "comfy-core",
130 "ver": "0.5.1",
131 "Node name for S&R": "LoadImage"
132 },
133 "widgets_values": [
134 "cube_robot.jpg",
135 "image"
136 ],
137 "color": "#232",
138 "bgcolor": "#353"
139 },
140 {
141 "id": 16,
142 "type": "SaveImage",
143 "pos": [
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146 ],
147 "size": [
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150 ],
151 "flags": [],
152 "order": 17,
153 "mode": 0,
154 "inputs": [
155 {
156 "name": "images",
157 "type": "IMAGE",
158 "link": 19
159 }
160 ],
161 "outputs": [],
162 "title": "Save Upscaled Image",
163 "properties": {
164 "cnr_id": "comfy-core",
165 "ver": "0.4.0",
166 "Node name for S&R": "SaveImage"
167 },
168 "widgets_values": [
169 "ComfyUI-selected_image-upscaled"
170 ]
171 },
172 {
173 "id": 3,
174 "type": "SaveImage",
175 "pos": [
176 1000.000006367409,
177 259.9999756619435
178 ],
179 "size": [
180 490,
181 951.0416666666667
182 ],
183 "flags": [],
184 "order": 8,
185 "mode": 0,
186 "inputs": [
187 {
188 "name": "images",
189 "type": "IMAGE",
190 "link": 2
191 }
192 ],
193 "outputs": [],
194 "properties": {
195 "cnr_id": "comfy-core",
196 "ver": "0.5.1",
197 "Node name for S&R": "SaveImage"
198 },
199 "widgets_values": [
200 "ComfyUI-split_stack"
201 ]
202 },
203 {
204 "id": 11,
205 "type": "SaveImage",
206 "pos": [
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209 ],
210 "size": [
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212 420
213 ],
214 "flags": [],
215 "order": 12,
216 "mode": 0,
217 "inputs": [
218 {
219 "name": "images",
220 "type": "IMAGE",
221 "link": 11
222 }
223 ],
224 "outputs": [],
225 "properties": {
226 "cnr_id": "comfy-core",
227 "ver": "0.5.1",
228 "Node name for S&R": "SaveImage"
229 },
230 "widgets_values": [
231 "ComfyUI-image_2"
232 ]
233 },
234 {
235 "id": 13,
236 "type": "SaveImage",
237 "pos": [
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240 ],
241 "size": [
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244 ],
245 "flags": [],
246 "order": 13,
247 "mode": 0,
248 "inputs": [
249 {
250 "name": "images",
251 "type": "IMAGE",
252 "link": 14
253 }
254 ],
255 "outputs": [],
256 "properties": {
257 "cnr_id": "comfy-core",
258 "ver": "0.5.1",
259 "Node name for S&R": "SaveImage"
260 },
261 "widgets_values": [
262 "ComfyUI-image_1"
263 ]
264 },
265 {
266 "id": 20,
267 "type": "Reroute",
268 "pos": [
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270 1299.9999713199272
271 ],
272 "size": [
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274 26
275 ],
276 "flags": [],
277 "order": 6,
278 "mode": 0,
279 "inputs": [
280 {
281 "name": "",
282 "type": "*",
283 "link": 22
284 }
285 ],
286 "outputs": [
287 {
288 "name": "",
289 "type": "IMAGE",
290 "links": [
291 23
292 ]
293 }
294 ],
295 "properties": {
296 "showOutputText": false,
297 "horizontal": false
298 }
299 },
300 {
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302 "type": "Reroute",
303 "pos": [
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306 ],
307 "size": [
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309 26
310 ],
311 "flags": [],
312 "order": 4,
313 "mode": 0,
314 "inputs": [
315 {
316 "name": "",
317 "type": "*",
318 "link": 21
319 }
320 ],
321 "outputs": [
322 {
323 "name": "",
324 "type": "IMAGE",
325 "links": [
326 22
327 ]
328 }
329 ],
330 "properties": {
331 "showOutputText": false,
332 "horizontal": false
333 }
334 },
335 {
336 "id": 10,
337 "type": "SaveImage",
338 "pos": [
339 1839.9997564851376,
340 259.9999834955403
341 ],
342 "size": [
343 600,
344 420
345 ],
346 "flags": [],
347 "order": 11,
348 "mode": 0,
349 "inputs": [
350 {
351 "name": "images",
352 "type": "IMAGE",
353 "link": 10
354 }
355 ],
356 "outputs": [],
357 "properties": {
358 "cnr_id": "comfy-core",
359 "ver": "0.5.1",
360 "Node name for S&R": "SaveImage"
361 },
362 "widgets_values": [
363 "ComfyUI-image_1"
364 ]
365 },
366 {
367 "id": 21,
368 "type": "PrimitiveInt",
369 "pos": [
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371 259.9999834955403
372 ],
373 "size": [
374 260,
375 110
376 ],
377 "flags": [],
378 "order": 1,
379 "mode": 0,
380 "inputs": [],
381 "outputs": [
382 {
383 "name": "INT",
384 "type": "INT",
385 "links": [
386 24
387 ]
388 }
389 ],
390 "title": "Select Image Number",
391 "properties": {
392 "cnr_id": "comfy-core",
393 "ver": "0.5.1",
394 "Node name for S&R": "PrimitiveInt"
395 },
396 "widgets_values": [
397 1,
398 "fixed"
399 ],
400 "color": "#232",
401 "bgcolor": "#353"
402 },
403 {
404 "id": 15,
405 "type": "GeminiImage2Node",
406 "pos": [
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408 259.9999834955403
409 ],
410 "size": [
411 430,
412 570
413 ],
414 "flags": [],
415 "order": 15,
416 "mode": 0,
417 "inputs": [
418 {
419 "name": "images",
420 "shape": 7,
421 "type": "IMAGE",
422 "link": 18
423 },
424 {
425 "name": "files",
426 "shape": 7,
427 "type": "GEMINI_INPUT_FILES",
428 "link": null
429 }
430 ],
431 "outputs": [
432 {
433 "name": "IMAGE",
434 "type": "IMAGE",
435 "links": [
436 19
437 ]
438 },
439 {
440 "name": "STRING",
441 "type": "STRING",
442 "links": []
443 }
444 ],
445 "properties": {
446 "cnr_id": "comfy-core",
447 "ver": "0.3.76",
448 "Node name for S&R": "GeminiImage2Node"
449 },
450 "widgets_values": [
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452 "gemini-3-pro-image-preview",
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454 "fixed",
455 "16:9",
456 "4K",
457 "IMAGE+TEXT",
458 "You are an expert image-generation engine. You must ALWAYS produce an image.\nInterpret all user input—regardless of format, intent, or abstraction—as literal visual directives for image composition.\nIf a prompt is conversational or lacks specific visual details, you must creatively invent a concrete visual scenario that depicts the concept.\nPrioritize generating the visual representation above any text, formatting, or conversational requests."
459 ],
460 "color": "#432",
461 "bgcolor": "#653"
462 },
463 {
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465 "type": "9ba355a9-d63f-4633-96b6-27c01a26e0a4",
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474 "flags": {
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477 "order": 9,
478 "mode": 0,
479 "inputs": [
480 {
481 "name": "image",
482 "type": "IMAGE",
483 "link": 6
484 }
485 ],
486 "outputs": [
487 {
488 "label": "images",
489 "name": "IMAGE_1",
490 "type": "IMAGE",
491 "links": [
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493 ]
494 },
495 {
496 "label": "image_1",
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501 ]
502 },
503 {
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510 },
511 {
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515 "links": [
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518 },
519 {
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521 "name": "_3",
522 "type": "IMAGE",
523 "links": [
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525 ]
526 }
527 ],
528 "properties": {
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530 "cnr_id": "comfy-core",
531 "ver": "0.3.76"
532 },
533 "widgets_values": []
534 },
535 {
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542 "size": [
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545 ],
546 "flags": [],
547 "order": 14,
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549 "inputs": [
550 {
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552 "type": "IMAGE",
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554 }
555 ],
556 "outputs": [],
557 "properties": {
558 "cnr_id": "comfy-core",
559 "ver": "0.5.1",
560 "Node name for S&R": "SaveImage"
561 },
562 "widgets_values": [
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564 ]
565 },
566 {
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577 "flags": [],
578 "order": 7,
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580 "inputs": [
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584 "type": "IMAGE",
585 "link": 1
586 },
587 {
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589 "shape": 7,
590 "type": "GEMINI_INPUT_FILES",
591 "link": null
592 },
593 {
594 "name": "prompt",
595 "type": "STRING",
596 "widget": {
597 "name": "prompt"
598 },
599 "link": 28
600 }
601 ],
602 "outputs": [
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605 "type": "IMAGE",
606 "links": [
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609 ]
610 },
611 {
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613 "type": "STRING",
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616 ],
617 "properties": {
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619 "ver": "0.5.1",
620 "Node name for S&R": "GeminiImage2Node"
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627 "9:16",
628 "4K",
629 "IMAGE+TEXT",
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631 ],
632 "color": "#432",
633 "bgcolor": "#653"
634 },
635 {
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641 ],
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645 ],
646 "flags": [],
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650 "outputs": [
651 {
652 "name": "STRING",
653 "type": "STRING",
654 "links": [
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656 ]
657 }
658 ],
659 "title": "Describe the Scene",
660 "properties": {
661 "cnr_id": "comfy-core",
662 "ver": "0.3.76",
663 "Node name for S&R": "PrimitiveStringMultiline"
664 },
665 "widgets_values": [
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667 ],
668 "color": "#232",
669 "bgcolor": "#353"
670 },
671 {
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687 "inputs": [],
688 "outputs": [
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690 "name": "STRING",
691 "type": "STRING",
692 "links": [
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694 ]
695 }
696 ],
697 "title": "Prompt Template",
698 "properties": {
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700 "ver": "0.3.76",
701 "Node name for S&R": "PrimitiveStringMultiline"
702 },
703 "widgets_values": [
704 "Use the input image. Divide the frame in 4 different stacked 16:9 frames.\nFor each frame choose the angle and type of shot (close up, extreme close up, dutch, over-shoulder, wide shot, Cowboy shot, full shot, etc).\n\nEnsure that subject is present in each frame and the environment is consistent between frames:\n{scene}"
705 ]
706 },
707 {
708 "id": 24,
709 "type": "RegexReplace",
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713 ],
714 "size": [
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717 ],
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1023 ],
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1028 ]
1029 }
1030 ],
1031 "widgets": [],
1032 "nodes": [
1033 {
1034 "id": 18,
1035 "type": "GetImageSize",
1036 "pos": [
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1038 -360
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1040 "size": [
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1043 ],
1044 "flags": {
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