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工作流 / 图像 / 1个输入与多个编辑模型对比
1个输入与多个编辑模型对比

1个输入与多个编辑模型对比

1 input and multiple editing model comparison

一键生成，测试所有领先的图像编辑模型。

图像 21 个节点 1 个输入 8 次使用 ComfyUI ≥ 0.33.3 hellorob 172 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。

需要的权重

这个工作流引用了 10 个权重文件，其中 9 个能在本站模型库里找到。

flux-2-klein-base-4b-fp8.safetensors 模型库暂未收录
flux-2-klein-base-9b-fp8.safetensors 在模型库查看
flux2-vae.safetensors 在模型库查看
flux2_dev_fp8mixed.safetensors 在模型库查看
mistral_3_small_flux2_bf16.safetensors 在模型库查看
qwen_2.5_vl_7b_fp8_scaled.safetensors 在模型库查看
qwen_3_4b.safetensors 在模型库查看
qwen_3_8b_fp8mixed.safetensors 在模型库查看
qwen_image_edit_2511_bf16.safetensors 在模型库查看
qwen_image_vae.safetensors 在模型库查看

节点构成

SaveImage × 9
GrokImageEditNode × 1
GeminiImage2Node × 1
ByteDanceSeedreamNode × 1
OpenAIGPTImage1 × 1
PrimitiveStringMultiline × 1
3629a732-8373-4b77-bdd6-fa4b4ce9dea1 × 1
d1c8447a-2321-43b3-bc20-1aae3ff54429 × 1
LoadImage × 1
9a60571a-8675-44d1-bf27-be978ed20936 × 1
MarkdownNote × 1
82c1112c-d9e0-4980-8732-e8cabf991b18 × 1
GeminiNanoBanana2 × 1

官方标注的模型

Nano Banana 2GrokQwen-Image-Edit

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

1{
2 "id": "cb7a372f-58da-43d0-8472-aa5259e335c4",
3 "revision": 0,
4 "last_node_id": 189,
5 "last_link_id": 365,
6 "nodes": [
7 {
8 "id": 169,
9 "type": "GrokImageEditNode",
10 "pos": [
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12 -3850
13 ],
14 "size": [
15 340,
16 300
17 ],
18 "flags": [],
19 "order": 3,
20 "mode": 0,
21 "inputs": [
22 {
23 "name": "image",
24 "type": "IMAGE",
25 "link": 339
26 },
27 {
28 "name": "prompt",
29 "type": "STRING",
30 "widget": {
31 "name": "prompt"
32 },
33 "link": 340
34 }
35 ],
36 "outputs": [
37 {
38 "name": "IMAGE",
39 "type": "IMAGE",
40 "links": [
41 356
42 ]
43 }
44 ],
45 "properties": {
46 "Node name for S&R": "GrokImageEditNode",
47 "cnr_id": "comfy-core",
48 "ver": "0.14.1"
49 },
50 "widgets_values": [
51 "grok-imagine-image",
52 "",
53 "1K",
54 1,
55 1914734755,
56 "randomize",
57 "auto"
58 ],
59 "color": "#432",
60 "bgcolor": "#653"
61 },
62 {
63 "id": 170,
64 "type": "GeminiImage2Node",
65 "pos": [
66 7150,
67 -3850
68 ],
69 "size": [
70 340,
71 400
72 ],
73 "flags": [],
74 "order": 4,
75 "mode": 0,
76 "inputs": [
77 {
78 "name": "images",
79 "shape": 7,
80 "type": "IMAGE",
81 "link": 341
82 },
83 {
84 "name": "files",
85 "shape": 7,
86 "type": "GEMINI_INPUT_FILES",
87 "link": null
88 },
89 {
90 "name": "prompt",
91 "type": "STRING",
92 "widget": {
93 "name": "prompt"
94 },
95 "link": 342
96 }
97 ],
98 "outputs": [
99 {
100 "name": "IMAGE",
101 "type": "IMAGE",
102 "links": [
103 355
104 ]
105 },
106 {
107 "name": "STRING",
108 "type": "STRING",
109 "links": null
110 }
111 ],
112 "properties": {
113 "Node name for S&R": "GeminiImage2Node",
114 "cnr_id": "comfy-core",
115 "ver": "0.14.1"
116 },
117 "widgets_values": [
118 "",
119 "gemini-3-pro-image-preview",
120 990008781725462,
121 "randomize",
122 "auto",
123 "1K",
124 "IMAGE+TEXT",
125 "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."
126 ],
127 "color": "#432",
128 "bgcolor": "#653"
129 },
130 {
131 "id": 171,
132 "type": "ByteDanceSeedreamNode",
133 "pos": [
134 8050,
135 -3850
136 ],
137 "size": [
138 340,
139 400
140 ],
141 "flags": [],
142 "order": 5,
143 "mode": 0,
144 "inputs": [
145 {
146 "name": "image",
147 "shape": 7,
148 "type": "IMAGE",
149 "link": 343
150 },
151 {
152 "name": "prompt",
153 "type": "STRING",
154 "widget": {
155 "name": "prompt"
156 },
157 "link": 344
158 }
159 ],
160 "outputs": [
161 {
162 "name": "IMAGE",
163 "type": "IMAGE",
164 "links": [
165 345
166 ]
167 }
168 ],
169 "properties": {
170 "Node name for S&R": "ByteDanceSeedreamNode",
171 "cnr_id": "comfy-core",
172 "ver": "0.14.1"
173 },
174 "widgets_values": [
175 "seedream-4-5-251128",
176 "",
177 "2048x2048 (1:1)",
178 2048,
179 2048,
180 "disabled",
181 1,
182 1925447380,
183 "randomize",
184 false,
185 true
186 ],
187 "color": "#432",
188 "bgcolor": "#653"
189 },
190 {
191 "id": 172,
192 "type": "SaveImage",
193 "pos": [
194 8070,
195 -3250
196 ],
197 "size": [
198 340,
199 400
200 ],
201 "flags": [],
202 "order": 14,
203 "mode": 0,
204 "inputs": [
205 {
206 "name": "images",
207 "type": "IMAGE",
208 "link": 345
209 }
210 ],
211 "outputs": [],
212 "title": "Save Seedream Image",
213 "properties": {
214 "cnr_id": "comfy-core",
215 "ver": "0.14.1"
216 },
217 "widgets_values": [
218 "Seedream_4.5"
219 ]
220 },
221 {
222 "id": 173,
223 "type": "OpenAIGPTImage1",
224 "pos": [
225 8490,
226 -3850
227 ],
228 "size": [
229 340,
230 420
231 ],
232 "flags": {
233 "collapsed": false
234 },
235 "order": 6,
236 "mode": 0,
237 "inputs": [
238 {
239 "name": "image",
240 "shape": 7,
241 "type": "IMAGE",
242 "link": 346
243 },
244 {
245 "name": "mask",
246 "shape": 7,
247 "type": "MASK",
248 "link": null
249 },
250 {
251 "name": "prompt",
252 "type": "STRING",
253 "widget": {
254 "name": "prompt"
255 },
256 "link": 347
257 }
258 ],
259 "outputs": [
260 {
261 "name": "IMAGE",
262 "type": "IMAGE",
263 "links": [
264 348
265 ]
266 }
267 ],
268 "properties": {
269 "Node name for S&R": "OpenAIGPTImage1",
270 "cnr_id": "comfy-core",
271 "ver": "0.14.1"
272 },
273 "widgets_values": [
274 "",
275 1347932571,
276 "randomize",
277 "high",
278 "auto",
279 "auto",
280 1,
281 "gpt-image-1.5",
282 1024,
283 1024
284 ],
285 "color": "#432",
286 "bgcolor": "#653"
287 },
288 {
289 "id": 174,
290 "type": "SaveImage",
291 "pos": [
292 8510,
293 -3250
294 ],
295 "size": [
296 340,
297 400
298 ],
299 "flags": [],
300 "order": 15,
301 "mode": 0,
302 "inputs": [
303 {
304 "name": "images",
305 "type": "IMAGE",
306 "link": 348
307 }
308 ],
309 "outputs": [],
310 "title": "Save GPT Image 1.5 Image",
311 "properties": {
312 "cnr_id": "comfy-core",
313 "ver": "0.14.1"
314 },
315 "widgets_values": [
316 "GPT_Image_1.5"
317 ]
318 },
319 {
320 "id": 175,
321 "type": "PrimitiveStringMultiline",
322 "pos": [
323 4760,
324 -3240
325 ],
326 "size": [
327 420,
328 140
329 ],
330 "flags": [],
331 "order": 0,
332 "mode": 0,
333 "inputs": [],
334 "outputs": [
335 {
336 "name": "STRING",
337 "type": "STRING",
338 "links": [
339 340,
340 342,
341 344,
342 347,
343 350,
344 352,
345 358,
346 360,
347 364
348 ]
349 }
350 ],
351 "title": "Prompt - Style Transfer",
352 "properties": {
353 "Node name for S&R": "PrimitiveStringMultiline",
354 "cnr_id": "comfy-core",
355 "ver": "0.14.1"
356 },
357 "widgets_values": [
358 "Change the colors to shades of blue. The speedlines are glowing subtly."
359 ],
360 "color": "#232",
361 "bgcolor": "#353"
362 },
363 {
364 "id": 176,
365 "type": "3629a732-8373-4b77-bdd6-fa4b4ce9dea1",
366 "pos": [
367 6090,
368 -3850
369 ],
370 "size": [
371 420,
372 520
373 ],
374 "flags": [],
375 "order": 7,
376 "mode": 0,
377 "inputs": [
378 {
379 "label": "image",
380 "name": "pixels",
381 "type": "IMAGE",
382 "link": 349
383 },
384 {
385 "name": "text",
386 "type": "STRING",
387 "widget": {
388 "name": "text"
389 },
390 "link": 350
391 }
392 ],
393 "outputs": [
394 {
395 "name": "IMAGE",
396 "type": "IMAGE",
397 "links": [
398 353
399 ]
400 }
401 ],
402 "properties": {
403 "proxyWidgets": [
404 [
405 "6",
406 "text"
407 ],
408 [
409 "12",
410 "unet_name"
411 ],
412 [
413 "38",
414 "clip_name"
415 ],
416 [
417 "10",
418 "vae_name"
419 ],
420 [
421 "140",
422 "noise_seed"
423 ],
424 [
425 "140",
426 "control_after_generate"
427 ]
428 ],
429 "cnr_id": "comfy-core",
430 "ver": "0.7.0",
431 "enableTabs": false,
432 "tabWidth": 65,
433 "tabXOffset": 10,
434 "hasSecondTab": false,
435 "secondTabText": "Send Back",
436 "secondTabOffset": 80,
437 "secondTabWidth": 65
438 },
439 "widgets_values": []
440 },
441 {
442 "id": 177,
443 "type": "d1c8447a-2321-43b3-bc20-1aae3ff54429",
444 "pos": [
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446 -3850
447 ],
448 "size": [
449 450,
450 500
451 ],
452 "flags": [],
453 "order": 8,
454 "mode": 0,
455 "inputs": [
456 {
457 "label": "image 1",
458 "name": "image1",
459 "type": "IMAGE",
460 "link": 351
461 },
462 {
463 "label": "image 2 (optional)",
464 "name": "image2",
465 "shape": 7,
466 "type": "IMAGE",
467 "link": null
468 },
469 {
470 "label": "image 3 (optional)",
471 "name": "image3",
472 "shape": 7,
473 "type": "IMAGE",
474 "link": null
475 },
476 {
477 "name": "prompt",
478 "type": "STRING",
479 "widget": {
480 "name": "prompt"
481 },
482 "link": 352
483 }
484 ],
485 "outputs": [
486 {
487 "name": "IMAGE",
488 "type": "IMAGE",
489 "links": [
490 354
491 ]
492 }
493 ],
494 "properties": {
495 "proxyWidgets": [
496 [
497 "146",
498 "prompt"
499 ],
500 [
501 "4",
502 "unet_name"
503 ],
504 [
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506 "clip_name"
507 ],
508 [
509 "142",
510 "vae_name"
511 ],
512 [
513 "15",
514 "seed"
515 ],
516 [
517 "15",
518 "control_after_generate"
519 ]
520 ],
521 "cnr_id": "comfy-core",
522 "ver": "0.11.0"
523 },
524 "widgets_values": []
525 },
526 {
527 "id": 178,
528 "type": "SaveImage",
529 "pos": [
530 6080,
531 -3250
532 ],
533 "size": [
534 400,
535 400
536 ],
537 "flags": [],
538 "order": 16,
539 "mode": 0,
540 "inputs": [
541 {
542 "name": "images",
543 "type": "IMAGE",
544 "link": 353
545 }
546 ],
547 "outputs": [],
548 "title": "Save Flux2 Dev Image",
549 "properties": {
550 "cnr_id": "comfy-core",
551 "ver": "0.14.1"
552 },
553 "widgets_values": [
554 "Flux2_dev"
555 ]
556 },
557 {
558 "id": 179,
559 "type": "SaveImage",
560 "pos": [
561 6590,
562 -3250
563 ],
564 "size": [
565 450,
566 400
567 ],
568 "flags": [],
569 "order": 17,
570 "mode": 0,
571 "inputs": [
572 {
573 "name": "images",
574 "type": "IMAGE",
575 "link": 354
576 }
577 ],
578 "outputs": [],
579 "title": "Save Qwen 2511 Image",
580 "properties": {
581 "cnr_id": "comfy-core",
582 "ver": "0.14.1"
583 },
584 "widgets_values": [
585 "Qwen_2511"
586 ]
587 },
588 {
589 "id": 180,
590 "type": "SaveImage",
591 "pos": [
592 7140,
593 -3250
594 ],
595 "size": [
596 370,
597 390
598 ],
599 "flags": [],
600 "order": 13,
601 "mode": 0,
602 "inputs": [
603 {
604 "name": "images",
605 "type": "IMAGE",
606 "link": 355
607 }
608 ],
609 "outputs": [],
610 "title": "Save Nano Banana Pro Image",
611 "properties": {
612 "Node name for S&R": "SaveImage",
613 "cnr_id": "comfy-core",
614 "ver": "0.5.1",
615 "enableTabs": false,
616 "tabWidth": 65,
617 "tabXOffset": 10,
618 "hasSecondTab": false,
619 "secondTabText": "Send Back",
620 "secondTabOffset": 80,
621 "secondTabWidth": 65
622 },
623 "widgets_values": [
624 "Nano_Banana_Pro"
625 ]
626 },
627 {
628 "id": 181,
629 "type": "SaveImage",
630 "pos": [
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632 -3250
633 ],
634 "size": [
635 350,
636 390
637 ],
638 "flags": [],
639 "order": 12,
640 "mode": 0,
641 "inputs": [
642 {
643 "name": "images",
644 "type": "IMAGE",
645 "link": 356
646 }
647 ],
648 "outputs": [],
649 "title": "Save Grok Image",
650 "properties": {
651 "cnr_id": "comfy-core",
652 "ver": "0.14.1"
653 },
654 "widgets_values": [
655 "Grok"
656 ]
657 },
658 {
659 "id": 182,
660 "type": "SaveImage",
661 "pos": [
662 5590,
663 -3250
664 ],
665 "size": [
666 390,
667 400
668 ],
669 "flags": [],
670 "order": 18,
671 "mode": 0,
672 "inputs": [
673 {
674 "name": "images",
675 "type": "IMAGE",
676 "link": 357
677 }
678 ],
679 "outputs": [],
680 "title": "Save Flux Klein 4B Image",
681 "properties": {
682 "Node name for S&R": "SaveImage",
683 "cnr_id": "comfy-core",
684 "ver": "0.8.2",
685 "enableTabs": false,
686 "tabWidth": 65,
687 "tabXOffset": 10,
688 "hasSecondTab": false,
689 "secondTabText": "Send Back",
690 "secondTabOffset": 80,
691 "secondTabWidth": 65
692 },
693 "widgets_values": [
694 "Flux2-Klein-4b-base"
695 ]
696 },
697 {
698 "id": 183,
699 "type": "LoadImage",
700 "pos": [
701 4760,
702 -3850
703 ],
704 "size": [
705 420,
706 480
707 ],
708 "flags": [],
709 "order": 1,
710 "mode": 0,
711 "inputs": [],
712 "outputs": [
713 {
714 "name": "IMAGE",
715 "type": "IMAGE",
716 "links": [
717 339,
718 341,
719 343,
720 346,
721 349,
722 351,
723 359,
724 361,
725 363
726 ]
727 },
728 {
729 "name": "MASK",
730 "type": "MASK",
731 "links": null
732 }
733 ],
734 "properties": {
735 "Node name for S&R": "LoadImage",
736 "cnr_id": "comfy-core",
737 "ver": "0.8.2",
738 "enableTabs": false,
739 "tabWidth": 65,
740 "tabXOffset": 10,
741 "hasSecondTab": false,
742 "secondTabText": "Send Back",
743 "secondTabOffset": 80,
744 "secondTabWidth": 65
745 },
746 "widgets_values": [
747 "input-illustration_to_real-1.png",
748 "image"
749 ],
750 "color": "#232",
751 "bgcolor": "#353"
752 },
753 {
754 "id": 184,
755 "type": "9a60571a-8675-44d1-bf27-be978ed20936",
756 "pos": [
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759 ],
760 "size": [
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762 500
763 ],
764 "flags": [],
765 "order": 9,
766 "mode": 0,
767 "inputs": [
768 {
769 "label": "prompt",
770 "name": "text",
771 "type": "STRING",
772 "widget": {
773 "name": "text"
774 },
775 "link": 358
776 },
777 {
778 "label": "reference_image1",
779 "name": "image",
780 "type": "IMAGE",
781 "link": 359
782 }
783 ],
784 "outputs": [
785 {
786 "name": "IMAGE",
787 "type": "IMAGE",
788 "links": [
789 357
790 ]
791 }
792 ],
793 "title": "Image Edit (FLUX.2 Klein 4B Distilled)",
794 "properties": {
795 "proxyWidgets": [
796 [
797 "70",
798 "unet_name"
799 ],
800 [
801 "71",
802 "clip_name"
803 ],
804 [
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806 "vae_name"
807 ],
808 [
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810 "text"
811 ],
812 [
813 "73",
814 "noise_seed"
815 ],
816 [
817 "73",
818 "control_after_generate"
819 ]
820 ],
821 "cnr_id": "comfy-core",
822 "ver": "0.8.2",
823 "enableTabs": false,
824 "tabWidth": 65,
825 "tabXOffset": 10,
826 "hasSecondTab": false,
827 "secondTabText": "Send Back",
828 "secondTabOffset": 80,
829 "secondTabWidth": 65
830 },
831 "widgets_values": []
832 },
833 {
834 "id": 185,
835 "type": "MarkdownNote",
836 "pos": [
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838 -3860
839 ],
840 "size": [
841 650,
842 1130
843 ],
844 "flags": [],
845 "order": 2,
846 "mode": 0,
847 "inputs": [],
848 "outputs": [],
849 "title": "Model Links",
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852 "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/flux2-dev](https://huggingface.co/Comfy-Org/flux2-dev)\n- [Hugging Face:Comfy-Org/Qwen-Image-Edit_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI)\n- [Hugging Face:Comfy-Org/Qwen-Image_ComfyUI](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI)\n- [Hugging Face:Comfy-Org/z_image_turbo](https://huggingface.co/Comfy-Org/z_image_turbo)\n- [Hugging Face:Comfy-Org/HunyuanVideo_1.5_repackaged](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/flux2-dev](https://modelscope.cn/models/Comfy-Org/flux2-dev)\n- [ModelScope:Comfy-Org/Qwen-Image-Edit_ComfyUI](https://modelscope.cn/models/Comfy-Org/Qwen-Image-Edit_ComfyUI)\n- [ModelScope:Comfy-Org/Qwen-Image_ComfyUI](https://modelscope.cn/models/Comfy-Org/Qwen-Image_ComfyUI)\n- [ModelScope:Comfy-Org/z_image_turbo](https://modelscope.cn/models/Comfy-Org/z_image_turbo)\n- [ModelScope:Comfy-Org/HunyuanVideo_1.5_repackaged](https://modelscope.cn/models/Comfy-Org/HunyuanVideo_1.5_repackaged)\n\n**diffusion_models**\n\n- [flux-2-klein-base-4b-fp8.safetensors](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4b-fp8/resolve/main/flux-2-klein-base-4b-fp8.safetensors) (3.81 GB)\n- [flux2_dev_fp8mixed.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/diffusion_models/flux2_dev_fp8mixed.safetensors) (33.02 GB)\n- [qwen_image_edit_2511_bf16.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2511_bf16.safetensors) (38.05 GB)\n\n**vae**\n\n- [flux2-vae.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors) (320.6 MB)\n- [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors) (242 MB)\n\n**text_encoders**\n\n- [qwen_3_4b.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors) (7.49 GB)\n- [mistral_3_small_flux2_bf16.safetensors](https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/text_encoders/mistral_3_small_flux2_bf16.safetensors) (33.14 GB)\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors) (8.74 GB)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ ├── flux-2-klein-base-4b-fp8.safetensors\n│ │ ├── flux2_dev_fp8mixed.safetensors\n│ │ └── qwen_image_edit_2511_bf16.safetensors\n│ ├── 📂 vae/\n│ │ ├── flux2-vae.safetensors\n│ │ └── qwen_image_vae.safetensors\n│ └── 📂 text_encoders/\n│ ├── qwen_3_4b.safetensors\n│ ├── mistral_3_small_flux2_bf16.safetensors\n│ └── qwen_2.5_vl_7b_fp8_scaled.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud will be updated after the stable release; nightly-supported models may not be included yet, please wait for the next stable release.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/Comfy-Org/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n"
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