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Gladas' MOSS Image Workflow

Gladas' MOSS Image Workflow

Gladas' MOSS Image Workflow

This workflow is based on the information found via ComfyUI's MOSS text-to-image templates and the official MOSS-Image user guide. My workflow is not recommended for brand new ComfyUI users. I suggest trying one of the C…

图像 89 个节点 638 次使用 Gladas 115 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 2 个权重文件，其中 0 个能在本站模型库里找到。

gladas_MOSS_Image_v2.json 模型库暂未收录
ComfyUI-LegacyResolutionPreview.zip 模型库暂未收录

节点构成

MarkdownNote × 9
WidgetToString × 5
Bookmark (rgthree) × 4
Fast Groups Bypasser (rgthree) × 4
StringConcatenate × 4
PrimitiveStringMultiline × 3
ComfyNumberConvert × 3
UNETLoader × 2
RandomNoise × 2
CFGGuider × 2
VAELoader × 2
SamplerCustomAdvanced × 2
KSamplerSelect × 2
BasicScheduler × 2
PreviewAny × 2
CM_IntToNumber × 2

官方标注的模型

4x-UltraSharpV2_Lite.safetensors8-steps-dmd2-lora.safetensorsflux2-vae_small.safetensorsgladas-style-moss_v1b.safetensorsqwen3.5_9b_w4a8_gptq.safetensorssam_moss33_int8_convrot.safetensorsseedvr2_3b_int8_convrot.safetensorsseedvr2_ema_vae_fp16.safetensors

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

1{
2 "id": "e043460c-3b1a-4b45-96fb-db59251c1afa",
3 "revision": 0,
4 "last_node_id": 89,
5 "last_link_id": 99,
6 "nodes": [
7 {
8 "id": 1,
9 "type": "Bookmark (rgthree)",
10 "pos": [
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13 ],
14 "size": [
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16 70
17 ],
18 "flags": {
19 "collapsed": true
20 },
21 "order": 0,
22 "mode": 0,
23 "inputs": [],
24 "outputs": [],
25 "title": "Start",
26 "properties": [],
27 "widgets_values": [
28 "1",
29 1.5
30 ],
31 "widgets_values_named": {
32 "shortcut_key": "1",
33 "zoom": 1.5
34 },
35 "color": "#323",
36 "bgcolor": "#535"
37 },
38 {
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40 "type": "Bookmark (rgthree)",
41 "pos": [
42 179560,
43 -1360
44 ],
45 "size": [
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47 70
48 ],
49 "flags": {
50 "collapsed": true
51 },
52 "order": 1,
53 "mode": 0,
54 "inputs": [],
55 "outputs": [],
56 "title": "Prompt",
57 "properties": [],
58 "widgets_values": [
59 "2",
60 1.5
61 ],
62 "widgets_values_named": {
63 "shortcut_key": "2",
64 "zoom": 1.5
65 },
66 "color": "#232",
67 "bgcolor": "#353"
68 },
69 {
70 "id": 3,
71 "type": "UNETLoader",
72 "pos": [
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74 -1210
75 ],
76 "size": [
77 300,
78 90
79 ],
80 "flags": [],
81 "order": 2,
82 "mode": 0,
83 "inputs": [],
84 "outputs": [
85 {
86 "name": "MODEL",
87 "type": "MODEL",
88 "links": [
89 1,
90 89
91 ]
92 }
93 ],
94 "properties": {
95 "cnr_id": "comfy-core",
96 "ver": "0.40.0",
97 "Node name for S&R": "UNETLoader"
98 },
99 "widgets_values": [
100 "MOSS\\sam_moss33_int8_convrot.safetensors",
101 "default"
102 ],
103 "widgets_values_named": {
104 "unet_name": "MOSS\\sam_moss33_int8_convrot.safetensors",
105 "weight_dtype": "default"
106 },
107 "color": "#323",
108 "bgcolor": "#535"
109 },
110 {
111 "id": 4,
112 "type": "BKWildcardSelector",
113 "pos": [
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115 -1210
116 ],
117 "size": [
118 400,
119 1144
120 ],
121 "flags": [],
122 "order": 3,
123 "mode": 4,
124 "inputs": [],
125 "outputs": [
126 {
127 "name": "prompt",
128 "type": "STRING",
129 "links": [
130 41
131 ]
132 }
133 ],
134 "title": "BKWILDCARDS Selector 0.9.22",
135 "properties": {
136 "cnr_id": "bkwildcards",
137 "ver": "acefe41af8e0fcd78cd9155cb539602ff28ff420",
138 "Node name for S&R": "BKWildcardSelector",
139 "bk_resolved": "outfit: long draping red haori-style kimono coat worn off the shoulders with wide sleeves, black-and-gold floral embroidery down the panels and a scarlet lining, black leather choker with a hanging D-ring, white corset-style bustier under a short black cropped bolero baring the midriff, black harness strap across the chest, high-waisted black maxi wrap skirt with a high front thigh slit, gold-cream floral embroidery climbing the hem and a black leather belt with a dangling silver chain, black pointed-toe high-heel ankle boots, elegant dark-gothic kimono-fusion look,\ncolor palette: ruby accents against cool-silver highlights,\nscene/background: a gun shop, a wall rack of rifles behind a glass pistol counter under cold downlights, a range-poster backdrop, gunmetal and blue palette, hard even light,\ncamera: worm's eye view,\nshot: chest up shot",
140 "_bkCollapsed": {
141 "Camera": false
142 }
143 },
144 "widgets_values": [
145 "_ghost.runner",
146 "— off —",
147 "— off —",
148 "— off —",
149 "— off —",
150 "— off —",
151 "— off —",
152 "— off —",
153 "— off —",
154 5,
155 5,
156 5,
157 5,
158 5,
159 "— off —",
160 "— off —",
161 false,
162 false,
163 false,
164 false,
165 false,
166 false,
167 "— off —",
168 "— off —",
169 false,
170 "— off —",
171 "— off —",
172 "— off —",
173 "— off —",
174 "Samurai Streetwear",
175 "— off —",
176 "— off —",
177 "— random —",
178 "— random —",
179 "— off —",
180 false,
181 "— random —",
182 "— random —",
183 "— random —",
184 "— random —",
185 "— random —",
186 "— random —",
187 "— random —",
188 "— random —",
189 "— off —",
190 "— off —",
191 "— off —",
192 "— off —",
193 "— random —",
194 "— random —",
195 "— random —",
196 "— random —",
197 "— random —",
198 "— random —",
199 "— random —",
200 "— off —",
201 "— random —",
202 "— off —",
203 "— random —",
204 "— random —",
205 "— random —",
206 false,
207 "— off —",
208 "— random —",
209 "— random —",
210 ", ",
211 289821654041797,
212 "randomize",
213 "labeled",
214 false,
215 "outfit: long draping red haori-style kimono coat worn off the shoulders with wide sleeves, black-and-gold floral embroidery down the panels and a scarlet lining, black leather choker with a hanging D-ring, white corset-style bustier under a short black cropped bolero baring the midriff, black harness strap across the chest, high-waisted black maxi wrap skirt with a high front thigh slit, gold-cream floral embroidery climbing the hem and a black leather belt with a dangling silver chain, black pointed-toe high-heel ankle boots, elegant dark-gothic kimono-fusion look,\ncolor palette: ruby accents against cool-silver highlights,\nscene/background: a gun shop, a wall rack of rifles behind a glass pistol counter under cold downlights, a range-poster backdrop, gunmetal and blue palette, hard even light,\ncamera: worm's eye view,\nshot: chest up shot"
216 ],
217 "widgets_values_named": {
218 "theme": "_ghost.runner",
219 "common_art_style": "— off —",
220 "common_art_style_2": "— off —",
221 "gender": "— off —",
222 "common_ancestry": "— off —",
223 "common_metatype": "— off —",
224 "body_sliders": "— off —",
225 "female_build": "— off —",
226 "male_build": "— off —",
227 "body_mass": 5,
228 "body_bust": 5,
229 "body_waist": 5,
230 "body_hips": 5,
231 "body_tone": 5,
232 "skin_tone": "— off —",
233 "eyes_eye": "— off —",
234 "female_face": false,
235 "male_face": false,
236 "female_nose": false,
237 "male_nose": false,
238 "female_lips": false,
239 "male_lips": false,
240 "common_cybernetics": "— off —",
241 "common_cyber_color": "— off —",
242 "hair_bald": false,
243 "hair_type": "— off —",
244 "hair_style": "— off —",
245 "hair_color": "— off —",
246 "cyberpunk_tattoo": "— off —",
247 "cyberpunk_outfit": "Samurai Streetwear",
248 "cyberpunk_bodysuit": "— off —",
249 "cyberpunk_weapon": "— off —",
250 "cyberpunk_accent_palette": "— random —",
251 "cyberpunk_environment": "— random —",
252 "cyberpunk_pose": "— off —",
253 "dresses_dress": false,
254 "dresses_eastern": "— random —",
255 "dresses_accent_palette": "— random —",
256 "dresses_environment": "— random —",
257 "dresses_pose": "— random —",
258 "autumnal_oxidation_outfit": "— random —",
259 "autumnal_oxidation_accent_palette": "— random —",
260 "autumnal_oxidation_environment": "— random —",
261 "autumnal_oxidation_pose": "— random —",
262 "cassette_futurism_outfit": "— off —",
263 "cassette_futurism_accent_palette": "— off —",
264 "cassette_futurism_environment": "— off —",
265 "cassette_futurism_pose": "— off —",
266 "lingerie_set": "— random —",
267 "halloween_outfit": "— random —",
268 "halloween_environment": "— random —",
269 "halloween_pose": "— random —",
270 "steampunk_outfit": "— random —",
271 "steampunk_environment": "— random —",
272 "steampunk_pose": "— random —",
273 "fantasy_tattoo": "— off —",
274 "fantasy_outfit": "— random —",
275 "fantasy_weapon": "— off —",
276 "fantasy_accent_palette": "— random —",
277 "fantasy_environment": "— random —",
278 "fantasy_pose": "— random —",
279 "fantasy_spell_casting": false,
280 "fantasy_spell_effects": "— off —",
281 "shots_angle": "— random —",
282 "shots_framing": "— random —",
283 "separator": ", ",
284 "seed": 289821654041797,
285 "control_after_generate": "randomize",
286 "label_output": "labeled",
287 "mayhem": false,
288 "resolved": "outfit: long draping red haori-style kimono coat worn off the shoulders with wide sleeves, black-and-gold floral embroidery down the panels and a scarlet lining, black leather choker with a hanging D-ring, white corset-style bustier under a short black cropped bolero baring the midriff, black harness strap across the chest, high-waisted black maxi wrap skirt with a high front thigh slit, gold-cream floral embroidery climbing the hem and a black leather belt with a dangling silver chain, black pointed-toe high-heel ankle boots, elegant dark-gothic kimono-fusion look,\ncolor palette: ruby accents against cool-silver highlights,\nscene/background: a gun shop, a wall rack of rifles behind a glass pistol counter under cold downlights, a range-poster backdrop, gunmetal and blue palette, hard even light,\ncamera: worm's eye view,\nshot: chest up shot"
289 },
290 "color": "#2a4d2a",
291 "bgcolor": "#1c331c"
292 },
293 {
294 "id": 5,
295 "type": "ImpactWildcardProcessor",
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299 ],
300 "size": [
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302 420
303 ],
304 "flags": [],
305 "order": 4,
306 "mode": 4,
307 "inputs": [],
308 "outputs": [
309 {
310 "name": "processed text",
311 "type": "STRING",
312 "links": [
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314 ]
315 }
316 ],
317 "properties": {
318 "cnr_id": "comfyui-impact-pack",
319 "ver": "8.28.3",
320 "Node name for S&R": "ImpactWildcardProcessor"
321 },
322 "widgets_values": [
323 "",
324 "",
325 "populate",
326 392314151399990,
327 "randomize",
328 "Select Wildcard 🟢 Full Cache"
329 ],
330 "widgets_values_named": {
331 "wildcard_text": "",
332 "populated_text": "",
333 "mode": "populate",
334 "seed": 392314151399990,
335 "control_after_generate": "randomize",
336 "Select to add Wildcard": "Select Wildcard 🟢 Full Cache"
337 },
338 "color": "#232",
339 "bgcolor": "#353"
340 },
341 {
342 "id": 6,
343 "type": "Fast Groups Bypasser (rgthree)",
344 "pos": [
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346 -1210
347 ],
348 "size": [
349 320,
350 110
351 ],
352 "flags": [],
353 "order": 5,
354 "mode": 0,
355 "inputs": [],
356 "outputs": [
357 {
358 "name": "OPT_CONNECTION",
359 "type": "*",
360 "links": []
361 }
362 ],
363 "title": "Model Patches",
364 "properties": {
365 "matchColors": "purple",
366 "matchTitle": "",
367 "showNav": true,
368 "showAllGraphs": true,
369 "sort": "position",
370 "customSortAlphabet": "",
371 "toggleRestriction": "default"
372 },
373 "color": "#323",
374 "bgcolor": "#535"
375 },
376 {
377 "id": 7,
378 "type": "PrimitiveStringMultiline",
379 "pos": [
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381 -1210
382 ],
383 "size": [
384 490,
385 460
386 ],
387 "flags": [],
388 "order": 6,
389 "mode": 4,
390 "inputs": [],
391 "outputs": [
392 {
393 "label": "system_prompt",
394 "name": "STRING",
395 "type": "STRING",
396 "links": [
397 24
398 ]
399 }
400 ],
401 "title": "System Prompt",
402 "properties": {
403 "cnr_id": "comfy-core",
404 "ver": "0.37.0",
405 "Node name for S&R": "PrimitiveStringMultiline"
406 },
407 "widgets_values": [
408 "You are a prompt enhancer for MOSS-Image. Turn the input into one cohesive caption that describes the finished image as if it already exists. Return only the caption, ready to pass into the positive prompt. Omit headings, preambles, Markdown, JSON, and commentary.\n\nPreserve the request\n- Keep every explicit visual requirement, including subject identity, age, count, appearance, clothing, actions, relationships, setting, framing, medium, style, mood, colors, and exclusions.\n- Treat the input as the source of truth. If a visual detail is unspecified, add it only when it helps realize the brief and fits everything already specified. Keep a minimalist brief sparse. If the input is already a clear, complete caption, make only the edits needed for clarity.\n- Keep separately supplied style blocks verbatim. If a style block is supplied at the end, leave it at the end.\n\nDescribe the image\n- Start with the main subject or visual focus, then connect it to the action, composition, and setting. Add relevant details about framing, lighting, materials, texture, palette, and mood where they help the image.\n- Express spatial placement in ordinary language. When the brief specifies what appears in the foreground, background, upper or lower frame, or in relation to another element, keep those relationships clear. Preserve explicit framing requirements, such as keeping a subject or prop fully in frame.\n- Write about what can be seen. Leave out backstory, sounds, smells, production notes, and generic quality tags.\n- Honor exclusions through the described composition where possible. If a meaningful exclusion cannot be conveyed that way, state it briefly and clearly.\n\nHandle visible text\n- Put each string meant to appear in the image in double quotes. Preserve its original language, spelling, capitalization, punctuation, and requested line breaks.\n- Distinguish text intended for the image from quoted references, examples, and instructions.\n- For posters, covers, panels, or other designed images, describe the reading order, relative prominence, alignment, and placement of the imagery and text. Describe typography and contrast where they matter for legibility.\n- When the brief asks you to write visible copy, supply actual copy that fits the design. Do not invent factual details such as dates, addresses, prices, or specifications. Do not carry over unrelated text, names, or watermarks from references.\n\nWrite the descriptive prose in English unless another output language is requested. Before returning the caption, silently check that it preserves the requested content, exact visible text, style wording, and negative-weight syntax."
409 ],
410 "widgets_values_named": {
411 "value": "You are a prompt enhancer for MOSS-Image. Turn the input into one cohesive caption that describes the finished image as if it already exists. Return only the caption, ready to pass into the positive prompt. Omit headings, preambles, Markdown, JSON, and commentary.\n\nPreserve the request\n- Keep every explicit visual requirement, including subject identity, age, count, appearance, clothing, actions, relationships, setting, framing, medium, style, mood, colors, and exclusions.\n- Treat the input as the source of truth. If a visual detail is unspecified, add it only when it helps realize the brief and fits everything already specified. Keep a minimalist brief sparse. If the input is already a clear, complete caption, make only the edits needed for clarity.\n- Keep separately supplied style blocks verbatim. If a style block is supplied at the end, leave it at the end.\n\nDescribe the image\n- Start with the main subject or visual focus, then connect it to the action, composition, and setting. Add relevant details about framing, lighting, materials, texture, palette, and mood where they help the image.\n- Express spatial placement in ordinary language. When the brief specifies what appears in the foreground, background, upper or lower frame, or in relation to another element, keep those relationships clear. Preserve explicit framing requirements, such as keeping a subject or prop fully in frame.\n- Write about what can be seen. Leave out backstory, sounds, smells, production notes, and generic quality tags.\n- Honor exclusions through the described composition where possible. If a meaningful exclusion cannot be conveyed that way, state it briefly and clearly.\n\nHandle visible text\n- Put each string meant to appear in the image in double quotes. Preserve its original language, spelling, capitalization, punctuation, and requested line breaks.\n- Distinguish text intended for the image from quoted references, examples, and instructions.\n- For posters, covers, panels, or other designed images, describe the reading order, relative prominence, alignment, and placement of the imagery and text. Describe typography and contrast where they matter for legibility.\n- When the brief asks you to write visible copy, supply actual copy that fits the design. Do not invent factual details such as dates, addresses, prices, or specifications. Do not carry over unrelated text, names, or watermarks from references.\n\nWrite the descriptive prose in English unless another output language is requested. Before returning the caption, silently check that it preserves the requested content, exact visible text, style wording, and negative-weight syntax."
412 },
413 "color": "#694769",
414 "bgcolor": "#553355"
415 },
416 {
417 "id": 8,
418 "type": "ModelSamplingAuraFlow",
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422 ],
423 "size": [
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425 90
426 ],
427 "flags": [],
428 "order": 36,
429 "mode": 4,
430 "inputs": [
431 {
432 "name": "model",
433 "type": "MODEL",
434 "link": 1
435 }
436 ],
437 "outputs": [
438 {
439 "name": "MODEL",
440 "type": "MODEL",
441 "links": [
442 2
443 ]
444 }
445 ],
446 "properties": {
447 "cnr_id": "comfy-core",
448 "ver": "0.42.0",
449 "Node name for S&R": "ModelSamplingAuraFlow"
450 },
451 "widgets_values": [
452 5,
453 "flow"
454 ],
455 "widgets_values_named": {
456 "shift": 5,
457 "sampling": "flow"
458 },
459 "color": "#323",
460 "bgcolor": "#535"
461 },
462 {
463 "id": 9,
464 "type": "Bookmark (rgthree)",
465 "pos": [
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467 -1360
468 ],
469 "size": [
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471 70
472 ],
473 "flags": {
474 "collapsed": true
475 },
476 "order": 7,
477 "mode": 0,
478 "inputs": [],
479 "outputs": [],
480 "title": "Initial Image Settings",
481 "properties": [],
482 "widgets_values": [
483 "3",
484 1
485 ],
486 "widgets_values_named": {
487 "shortcut_key": "3",
488 "zoom": 1
489 },
490 "color": "#223",
491 "bgcolor": "#335"
492 },
493 {
494 "id": 10,
495 "type": "SkipLayerGuidanceDiTSimple",
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498 -1210
499 ],
500 "size": [
501 260,
502 130
503 ],
504 "flags": [],
505 "order": 41,
506 "mode": 0,
507 "inputs": [
508 {
509 "name": "model",
510 "type": "MODEL",
511 "link": 2
512 }
513 ],
514 "outputs": [
515 {
516 "name": "MODEL",
517 "type": "MODEL",
518 "links": [
519 3
520 ]
521 }
522 ],
523 "properties": {
524 "cnr_id": "comfy-core",
525 "ver": "0.42.0",
526 "Node name for S&R": "SkipLayerGuidanceDiTSimple"
527 },
528 "widgets_values": [
529 "",
530 "22, 24, 26",
531 0,
532 1
533 ],
534 "widgets_values_named": {
535 "double_layers": "",
536 "single_layers": "22, 24, 26",
537 "start_percent": 0,
538 "end_percent": 1
539 },
540 "color": "#323",
541 "bgcolor": "#535"
542 },
543 {
544 "id": 11,
545 "type": "MarkdownNote",
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549 ],
550 "size": [
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552 90
553 ],
554 "flags": [],
555 "order": 8,
556 "mode": 0,
557 "inputs": [],
558 "outputs": [],
559 "title": "Turbo LoRAs",
560 "properties": [],
561 "widgets_values": [
562 "## Turbo LoRAs\nSome MOSS Image turbo loras can be found [here](https://civitai.red/models/3006599/moss-image-turbo-loras?modelVersionId=3414934) on CivitAI."
563 ],
564 "widgets_values_named": {
565 "text": "## Turbo LoRAs\nSome MOSS Image turbo loras can be found [here](https://civitai.red/models/3006599/moss-image-turbo-loras?modelVersionId=3414934) on CivitAI."
566 },
567 "color": "#323",
568 "bgcolor": "#535"
569 },
570 {
571 "id": 12,
572 "type": "ModelAttentionBackend",
573 "pos": [
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576 ],
577 "size": [
578 300,
579 60
580 ],
581 "flags": [],
582 "order": 43,
583 "mode": 0,
584 "inputs": [
585 {
586 "name": "model",
587 "type": "MODEL",
588 "link": 3
589 }
590 ],
591 "outputs": [
592 {
593 "name": "model",
594 "type": "MODEL",
595 "links": [
596 59
597 ]
598 }
599 ],
600 "properties": {
601 "cnr_id": "comfy-core",
602 "ver": "0.40.0",
603 "Node name for S&R": "ModelAttentionBackend"
604 },
605 "widgets_values": [
606 "comfy kitchen attention"
607 ],
608 "widgets_values_named": {
609 "attention": "comfy kitchen attention"
610 },
611 "color": "#323",
612 "bgcolor": "#535"
613 },
614 {
615 "id": 13,
616 "type": "StringFunction|pysssss",
617 "pos": [
618 179590,
619 -1030
620 ],
621 "size": [
622 590,
623 670
624 ],
625 "flags": [],
626 "order": 9,
627 "mode": 0,
628 "inputs": [],
629 "outputs": [
630 {
631 "name": "STRING",
632 "type": "STRING",
633 "links": [
634 70
635 ]
636 }
637 ],
638 "title": "Positive Prompt",
639 "properties": {
640 "cnr_id": "comfyui-custom-scripts",
641 "ver": "1.2.5",
642 "Node name for S&R": "StringFunction|pysssss"
643 },
644 "widgets_values": [
645 "append",
646 "no",
647 "",
648 "",
649 "",
650 "best quality, highres,\nSUBJECT: Leoparde, an adult interpretation of Araga Kiwi from Mahou Shoujo ni Akogarete, has long, thick ash-blonde hair parted down the middle at the back. Two broad sections of hair drape loosely down behind her ears, retaining their fullness all the way to the base of her neck. Each section is gathered at shoulder height into its own large, softly rounded bun. The two buns hang low on either side of her nape, with their lower edges brushing the tops of her shoulders. Broad, smooth strands curve over each bun and tuck underneath, giving it a full oval shape. Thick bangs skim her wine-red eyes, longer locks frame her cheeks, and a single curved tuft rises from her crown. She has a small beauty mark beneath one eye and a sly smile. She has a slender build, large breasts, and skinny legs.\nSTYLE: A digital Japanese anime illustration with photographic material detail and cinematic lighting. The adult subject's 2d anime style face has precise, delicate linework, elongated anime eyes with clearly drawn upper lashes, a small anime style nose, and a simple fine-lined mouth. Subtle painted shadows shape the cheeks and jaw while preserving the face’s distinctly two-dimensional anime appearance. Hair is arranged in finely outlined locks with detailed strands and natural highlights. The body has lifelike proportions and softly textured skin. Clothing and objects have tangible surface detail, visible construction, natural wear, and convincing responses to light. The background has photographic textures, atmospheric depth, and selective focus. Directional light and soft reflected light unify the illustrated character with the realistic surroundings.\n"
651 ],
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1190 "### SkipLayerGuidanceDiTSimple\nSimple version of the SkipLayerGuidanceDiT node that only modifies the unconditional pass during the denoising process. This node applies skip layer guidance to specific transformer layers in DiT (Diffusion Transformer) models by selectively skipping certain layers during the unconditional pass based on specified timing and layer parameters.\n\nThe original MOSS Image usage guide suggests using layers 22, 24, and 26, since they *can* improve image quality.\n\nIt also states SLG can be skipped and can push the result toward realism, but also can result in collapsed details."
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1192 "widgets_values_named": {
1193 "text": "### SkipLayerGuidanceDiTSimple\nSimple version of the SkipLayerGuidanceDiT node that only modifies the unconditional pass during the denoising process. This node applies skip layer guidance to specific transformer layers in DiT (Diffusion Transformer) models by selectively skipping certain layers during the unconditional pass based on specified timing and layer parameters.\n\nThe original MOSS Image usage guide suggests using layers 22, 24, and 26, since they *can* improve image quality.\n\nIt also states SLG can be skipped and can push the result toward realism, but also can result in collapsed details."
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1196 "bgcolor": "#535"
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1219 ],
1220 "title": "Save Image",
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1248 "outputs": [],
1249 "title": "Missing Custom Nodes?",
1250 "properties": [],
1251 "widgets_values": [
1252 "## ⚠️ Custom nodes used in workflow\n---\n#### [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)\n* https://github.com/rgthree/rgthree-comfy\n\n#### [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\n* https://github.com/pythongosssss/ComfyUI-Custom-Scripts\n\n#### [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)\n* https://github.com/kijai/ComfyUI-KJNodes\n\n#### [ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n* https://github.com/ltdrdata/ComfyUI-Impact-Pack\n\n#### [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)\n* https://github.com/alexopus/ComfyUI-Image-Saver\n\n#### [comfyui-gps-supplements](https://github.com/Goshe-nite/comfyui-gps-supplements)\n* https://github.com/Goshe-nite/comfyui-gps-supplements\n\n#### [BKWILDCARDS](https://github.com/bkidderz/BKWILDCARDS)\n* https://github.com/bkidderz/BKWILDCARDS\n\n#### [ComfyMath](https://github.com/evanspearman/ComfyMath)\n* https://github.com/evanspearman/ComfyMath\n\n#### [ComfyUI-ppm](https://github.com/pamparamm/ComfyUI-ppm)\n* https://github.com/pamparamm/ComfyUI-ppm"
1253 ],
1254 "widgets_values_named": {
1255 "text": "## ⚠️ Custom nodes used in workflow\n---\n#### [rgthree-comfy](https://github.com/rgthree/rgthree-comfy)\n* https://github.com/rgthree/rgthree-comfy\n\n#### [ComfyUI-Custom-Scripts](https://github.com/pythongosssss/ComfyUI-Custom-Scripts)\n* https://github.com/pythongosssss/ComfyUI-Custom-Scripts\n\n#### [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes)\n* https://github.com/kijai/ComfyUI-KJNodes\n\n#### [ComfyUI-Impact-Pack](https://github.com/ltdrdata/ComfyUI-Impact-Pack)\n* https://github.com/ltdrdata/ComfyUI-Impact-Pack\n\n#### [ComfyUI-Image-Saver](https://github.com/alexopus/ComfyUI-Image-Saver)\n* https://github.com/alexopus/ComfyUI-Image-Saver\n\n#### [comfyui-gps-supplements](https://github.com/Goshe-nite/comfyui-gps-supplements)\n* https://github.com/Goshe-nite/comfyui-gps-supplements\n\n#### [BKWILDCARDS](https://github.com/bkidderz/BKWILDCARDS)\n* https://github.com/bkidderz/BKWILDCARDS\n\n#### [ComfyMath](https://github.com/evanspearman/ComfyMath)\n* https://github.com/evanspearman/ComfyMath\n\n#### [ComfyUI-ppm](https://github.com/pamparamm/ComfyUI-ppm)\n* https://github.com/pamparamm/ComfyUI-ppm"
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1403 "inputs": [],
1404 "outputs": [],
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2399 "links": [
2400 17
2401 ]
2402 },
2403 {
2404 "label": "1 count",
2405 "name": "count",
2406 "type": "INT",
2407 "links": []
2408 }
2409 ],
2410 "properties": {
2411 "cnr_id": "comfyui-kjnodes",
2412 "ver": "1.5.2",
2413 "Node name for S&R": "GetImageSizeAndCount"
2414 },
2415 "color": "#432",
2416 "bgcolor": "#653"
2417 },
2418 {
2419 "id": 52,
2420 "type": "CM_NumberBinaryOperation",
2421 "pos": [
2422 183270,
2423 -510
2424 ],
2425 "size": [
2426 300,
2427 80
2428 ],
2429 "flags": [],
2430 "order": 67,
2431 "mode": 4,
2432 "inputs": [
2433 {
2434 "label": "height",
2435 "name": "a",
2436 "type": "NUMBER",
2437 "link": 35
2438 },
2439 {
2440 "label": "scale_factor",
2441 "name": "b",
2442 "type": "NUMBER",
2443 "link": 36
2444 }
2445 ],
2446 "outputs": [
2447 {
2448 "label": "height",
2449 "name": "NUMBER",
2450 "type": "NUMBER",
2451 "links": [
2452 58
2453 ]
2454 }
2455 ],
2456 "title": "Multiply Height - Number",
2457 "properties": {
2458 "cnr_id": "ComfyMath",
2459 "ver": "c01177221c31b8e5fbc062778fc8254aeb541638",
2460 "Node name for S&R": "CM_NumberBinaryOperation"
2461 },
2462 "widgets_values": [
2463 "Mul"
2464 ],
2465 "widgets_values_named": {
2466 "op": "Mul"
2467 },
2468 "color": "#323",
2469 "bgcolor": "#535"
2470 },
2471 {
2472 "id": 53,
2473 "type": "MarkdownNote",
2474 "pos": [
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2477 ],
2478 "size": [
2479 360,
2480 280
2481 ],
2482 "flags": [],
2483 "order": 31,
2484 "mode": 0,
2485 "inputs": [],
2486 "outputs": [],
2487 "title": "Resolution Selector",
2488 "properties": [],
2489 "widgets_values": [
2490 "## Examples:\n```\naspect_ratio - 1:1 (Square)\n\nmegapixels - 1.00\n\nresult - 1024 x 1024\n```\n```\naspect_ratio - 1:1 (Square)\n\nmegapixels - 4.00\n\nresult - 2048 x 2048\n```\n---\n#### You can disconnect the Resolution Selector node from the width and height inputs on the Empty Flux 2 Latent node if you want to set the resolution manually."
2491 ],
2492 "widgets_values_named": {
2493 "text": "## Examples:\n```\naspect_ratio - 1:1 (Square)\n\nmegapixels - 1.00\n\nresult - 1024 x 1024\n```\n```\naspect_ratio - 1:1 (Square)\n\nmegapixels - 4.00\n\nresult - 2048 x 2048\n```\n---\n#### You can disconnect the Resolution Selector node from the width and height inputs on the Empty Flux 2 Latent node if you want to set the resolution manually."
2494 },
2495 "color": "#323",
2496 "bgcolor": "#535"
2497 },
2498 {
2499 "id": 54,
2500 "type": "MarkdownNote",
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2504 ],
2505 "size": [
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2507 170
2508 ],
2509 "flags": [],
2510 "order": 32,
2511 "mode": 0,
2512 "inputs": [],
2513 "outputs": [],
2514 "properties": [],
2515 "widgets_values": [
2516 "## CLIP NegPip\n\nMOSS Image ignores token weights in vanilla ComfyUI, so CLIP NegPip re-enables the syntax and applies the weights inside attention instead of on the text embeddings: (word:2) biases that token's keys by 3 * log(w), (word:-2) leaves attention alone and scales the token's value by -2, (word:0) mutes it. Only the image tokens read the weighted stream, so the prompt tokens stay unweighted. Prompts without weights cost nothing.\n\nThis is also useful when using CFG 1."
2517 ],
2518 "widgets_values_named": {
2519 "text": "## CLIP NegPip\n\nMOSS Image ignores token weights in vanilla ComfyUI, so CLIP NegPip re-enables the syntax and applies the weights inside attention instead of on the text embeddings: (word:2) biases that token's keys by 3 * log(w), (word:-2) leaves attention alone and scales the token's value by -2, (word:0) mutes it. Only the image tokens read the weighted stream, so the prompt tokens stay unweighted. Prompts without weights cost nothing.\n\nThis is also useful when using CFG 1."
2520 },
2521 "color": "#232",
2522 "bgcolor": "#353"
2523 },
2524 {
2525 "id": 55,
2526 "type": "CLIPTextEncode",
2527 "pos": [
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2530 ],
2531 "size": [
2532 210,
2533 90
2534 ],
2535 "flags": [],
2536 "order": 56,
2537 "mode": 0,
2538 "inputs": [
2539 {
2540 "name": "clip",
2541 "type": "CLIP",
2542 "link": 37
2543 },
2544 {
2545 "name": "text",
2546 "type": "STRING",
2547 "widget": {
2548 "name": "text"
2549 },
2550 "link": 38
2551 }
2552 ],
2553 "outputs": [
2554 {
2555 "name": "CONDITIONING",
2556 "type": "CONDITIONING",
2557 "links": [
2558 6
2559 ]
2560 }
2561 ],
2562 "title": "Positive Prompt",
2563 "properties": {
2564 "cnr_id": "comfy-core",
2565 "ver": "0.40.0",
2566 "Node name for S&R": "CLIPTextEncode"
2567 },
2568 "widgets_values": [
2569 "\n\n"
2570 ],
2571 "widgets_values_named": {
2572 "text": "\n\n"
2573 },
2574 "color": "#232",
2575 "bgcolor": "#353"
2576 },
2577 {
2578 "id": 56,
2579 "type": "StringConcatenate",
2580 "pos": [
2581 179680,
2582 -310
2583 ],
2584 "size": [
2585 260,
2586 170
2587 ],
2588 "flags": [],
2589 "order": 42,
2590 "mode": 0,
2591 "inputs": [
2592 {
2593 "name": "string_a",
2594 "type": "STRING",
2595 "widget": {
2596 "name": "string_a"
2597 },
2598 "link": 39
2599 },
2600 {
2601 "name": "string_b",
2602 "type": "STRING",
2603 "widget": {
2604 "name": "string_b"
2605 },
2606 "link": 40
2607 }
2608 ],
2609 "outputs": [
2610 {
2611 "name": "STRING",
2612 "type": "STRING",
2613 "links": [
2614 71
2615 ]
2616 }
2617 ],
2618 "title": "Wildcards + BKWILDCARDS",
2619 "properties": {
2620 "cnr_id": "comfy-core",
2621 "ver": "0.40.0",
2622 "Node name for S&R": "StringConcatenate"
2623 },
2624 "widgets_values": [
2625 "",
2626 "",
2627 ""
2628 ],
2629 "widgets_values_named": {
2630 "string_a": "",
2631 "string_b": "",
2632 "delimiter": ""
2633 },
2634 "color": "#232",
2635 "bgcolor": "#353"
2636 },
2637 {
2638 "id": 57,
2639 "type": "RegexReplace",
2640 "pos": [
2641 179440,
2642 -310
2643 ],
2644 "size": [
2645 210,
2646 380
2647 ],
2648 "flags": [],
2649 "order": 38,
2650 "mode": 0,
2651 "inputs": [
2652 {
2653 "name": "string",
2654 "type": "STRING",
2655 "widget": {
2656 "name": "string"
2657 },
2658 "link": 41
2659 }
2660 ],
2661 "outputs": [
2662 {
2663 "name": "STRING",
2664 "type": "STRING",
2665 "links": [
2666 40
2667 ]
2668 }
2669 ],
2670 "properties": {
2671 "cnr_id": "comfy-core",
2672 "ver": "0.37.0",
2673 "Node name for S&R": "RegexReplace"
2674 },
2675 "widgets_values": [
2676 "",
2677 "(?<=[^\\s.!?])\\s*\\Z",
2678 ". ",
2679 true,
2680 false,
2681 false,
2682 0
2683 ],
2684 "widgets_values_named": {
2685 "string": "",
2686 "regex_pattern": "(?<=[^\\s.!?])\\s*\\Z",
2687 "replace": ". ",
2688 "case_insensitive": true,
2689 "multiline": false,
2690 "dotall": false,
2691 "count": 0
2692 },
2693 "color": "#232",
2694 "bgcolor": "#353"
2695 },
2696 {
2697 "id": 58,
2698 "type": "Any Switch (rgthree)",
2699 "pos": [
2700 179970,
2701 -310
2702 ],
2703 "size": [
2704 210,
2705 110
2706 ],
2707 "flags": [],
2708 "order": 52,
2709 "mode": 0,
2710 "inputs": [
2711 {
2712 "dir": 3,
2713 "label": "Cleaned Reformat",
2714 "name": "any_01",
2715 "type": "STRING",
2716 "link": 42
2717 },
2718 {
2719 "dir": 3,
2720 "label": "Bypass",
2721 "name": "any_02",
2722 "type": "STRING",
2723 "link": 43
2724 },
2725 {
2726 "dir": 3,
2727 "label": "any_03",
2728 "name": "any_03",
2729 "type": "STRING",
2730 "link": null
2731 },
2732 {
2733 "dir": 3,
2734 "name": "any_04",
2735 "type": "STRING",
2736 "link": null
2737 },
2738 {
2739 "dir": 3,
2740 "name": "any_05",
2741 "type": "STRING",
2742 "link": null
2743 }
2744 ],
2745 "outputs": [
2746 {
2747 "dir": 4,
2748 "label": "STRING",
2749 "name": "*",
2750 "shape": 3,
2751 "type": "STRING",
2752 "links": [
2753 66,
2754 90
2755 ]
2756 }
2757 ],
2758 "title": "Prompt Switch",
2759 "properties": {
2760 "cnr_id": "rgthree-comfy",
2761 "ver": "1.0.2608210019"
2762 },
2763 "color": "#232",
2764 "bgcolor": "#353"
2765 },
2766 {
2767 "id": 59,
2768 "type": "CFGGuider",
2769 "pos": [
2770 183600,
2771 -430
2772 ],
2773 "size": [
2774 300,
2775 100
2776 ],
2777 "flags": [],
2778 "order": 74,
2779 "mode": 0,
2780 "inputs": [
2781 {
2782 "name": "model",
2783 "type": "MODEL",
2784 "link": 44
2785 },
2786 {
2787 "name": "positive",
2788 "type": "CONDITIONING",
2789 "link": 45
2790 },
2791 {
2792 "name": "negative",
2793 "type": "CONDITIONING",
2794 "link": 46
2795 }
2796 ],
2797 "outputs": [
2798 {
2799 "name": "GUIDER",
2800 "type": "GUIDER",
2801 "links": [
2802 50
2803 ]
2804 }
2805 ],
2806 "properties": {
2807 "cnr_id": "comfy-core",
2808 "ver": "0.36.0",
2809 "Node name for S&R": "CFGGuider"
2810 },
2811 "widgets_values": [
2812 1
2813 ],
2814 "widgets_values_named": {
2815 "cfg": 1
2816 },
2817 "color": "#432",
2818 "bgcolor": "#653"
2819 },
2820 {
2821 "id": 60,
2822 "type": "KSamplerSelect",
2823 "pos": [
2824 183600,
2825 -280
2826 ],
2827 "size": [
2828 300,
2829 60
2830 ],
2831 "flags": [],
2832 "order": 33,
2833 "mode": 0,
2834 "inputs": [],
2835 "outputs": [
2836 {
2837 "name": "SAMPLER",
2838 "type": "SAMPLER",
2839 "links": [
2840 51
2841 ]
2842 }
2843 ],
2844 "properties": {
2845 "cnr_id": "comfy-core",
2846 "ver": "0.36.0",
2847 "Node name for S&R": "KSamplerSelect"
2848 },
2849 "widgets_values": [
2850 "euler"
2851 ],
2852 "widgets_values_named": {
2853 "sampler_name": "euler"
2854 },
2855 "color": "#432",
2856 "bgcolor": "#653"
2857 },
2858 {
2859 "id": 61,
2860 "type": "VAEDecodeTiled",
2861 "pos": [
2862 183930,
2863 -890
2864 ],
2865 "size": [
2866 300,
2867 150
2868 ],
2869 "flags": [],
2870 "order": 76,
2871 "mode": 0,
2872 "showAdvanced": true,
2873 "inputs": [
2874 {
2875 "name": "samples",
2876 "type": "LATENT",
2877 "link": 47
2878 },
2879 {
2880 "name": "vae",
2881 "type": "VAE",
2882 "link": 48
2883 }
2884 ],
2885 "outputs": [
2886 {
2887 "name": "IMAGE",
2888 "type": "IMAGE",
2889 "links": [
2890 64
2891 ]
2892 }
2893 ],
2894 "properties": {
2895 "cnr_id": "comfy-core",
2896 "ver": "0.27.0",
2897 "Node name for S&R": "VAEDecodeTiled"
2898 },
2899 "widgets_values": [
2900 1024,
2901 128,
2902 4096,
2903 8
2904 ],
2905 "widgets_values_named": {
2906 "tile_size": 1024,
2907 "overlap": 128,
2908 "temporal_size": 4096,
2909 "temporal_overlap": 8
2910 },
2911 "color": "#432",
2912 "bgcolor": "#653"
2913 },
2914 {
2915 "id": 62,
2916 "type": "SamplerCustomAdvanced",
2917 "pos": [
2918 183930,
2919 -1050
2920 ],
2921 "size": [
2922 300,
2923 110
2924 ],
2925 "flags": [],
2926 "order": 75,
2927 "mode": 0,
2928 "inputs": [
2929 {
2930 "name": "noise",
2931 "type": "NOISE",
2932 "link": 49
2933 },
2934 {
2935 "name": "guider",
2936 "type": "GUIDER",
2937 "link": 50
2938 },
2939 {
2940 "name": "sampler",
2941 "type": "SAMPLER",
2942 "link": 51
2943 },
2944 {
2945 "name": "sigmas",
2946 "type": "SIGMAS",
2947 "link": 52
2948 },
2949 {
2950 "name": "latent_image",
2951 "type": "LATENT",
2952 "link": 53
2953 }
2954 ],
2955 "outputs": [
2956 {
2957 "name": "output",
2958 "type": "LATENT",
2959 "links": [
2960 47
2961 ]
2962 },
2963 {
2964 "name": "denoised_output",
2965 "type": "LATENT",
2966 "links": []
2967 }
2968 ],
2969 "properties": {
2970 "cnr_id": "comfy-core",
2971 "ver": "0.36.0",
2972 "Node name for S&R": "SamplerCustomAdvanced"
2973 },
2974 "color": "#432",
2975 "bgcolor": "#653"
2976 },
2977 {
2978 "id": 63,
2979 "type": "BasicScheduler",
2980 "pos": [
2981 183930,
2982 -1210
2983 ],
2984 "size": [
2985 300,
2986 110
2987 ],
2988 "flags": [],
2989 "order": 40,
2990 "mode": 0,
2991 "inputs": [
2992 {
2993 "name": "model",
2994 "type": "MODEL",
2995 "link": 54
2996 }
2997 ],
2998 "outputs": [
2999 {
3000 "name": "SIGMAS",
3001 "type": "SIGMAS",
3002 "links": [
3003 52
3004 ]
3005 }
3006 ],
3007 "properties": {
3008 "cnr_id": "comfy-core",
3009 "ver": "0.36.0",
3010 "Node name for S&R": "BasicScheduler"
3011 },
3012 "widgets_values": [
3013 "simple",
3014 1,
3015 0.1
3016 ],
3017 "widgets_values_named": {
3018 "scheduler": "simple",
3019 "steps": 1,
3020 "denoise": 0.1
3021 },
3022 "color": "#432",
3023 "bgcolor": "#653"
3024 },
3025 {
3026 "id": 64,
3027 "type": "MarkdownNote",
3028 "pos": [
3029 183930,
3030 -690
3031 ],
3032 "size": [
3033 300,
3034 270
3035 ],
3036 "flags": [],
3037 "order": 34,
3038 "mode": 0,
3039 "inputs": [],
3040 "outputs": [],
3041 "title": "Note: SeedVR2 Model Links",
3042 "properties": [],
3043 "widgets_values": [
3044 "## Model Links\n\n**vae**\n\n- [seedvr2_ema_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/vae/seedvr2_ema_vae_fp16.safetensors)\n\n**diffusion_models**\n\n- [seedvr2_3b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/diffusion_models/seedvr2_3b_int8_convrot.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ └── seedvr2_ema_vae_fp16.safetensors\n│ └── 📂 diffusion_models/\n│ └── seedvr2_3b_int8_convrot.safetensors\n```\n"
3045 ],
3046 "widgets_values_named": {
3047 "text": "## Model Links\n\n**vae**\n\n- [seedvr2_ema_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/vae/seedvr2_ema_vae_fp16.safetensors)\n\n**diffusion_models**\n\n- [seedvr2_3b_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/SeedVR2/resolve/main/diffusion_models/seedvr2_3b_int8_convrot.safetensors)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 vae/\n│ │ └── seedvr2_ema_vae_fp16.safetensors\n│ └── 📂 diffusion_models/\n│ └── seedvr2_3b_int8_convrot.safetensors\n```\n"
3048 },
3049 "color": "#432",
3050 "bgcolor": "#653"
3051 },
3052 {
3053 "id": 65,
3054 "type": "MarkdownNote",
3055 "pos": [
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3058 ],
3059 "size": [
3060 300,
3061 180
3062 ],
3063 "flags": [],
3064 "order": 35,
3065 "mode": 0,
3066 "inputs": [],
3067 "outputs": [],
3068 "title": "Regarding SeedVR2",
3069 "properties": [],
3070 "widgets_values": [
3071 "#### The nodes used for SeedVR2 are taken from the searchable template for the seedVR2_3b found when clicking on the templates button typically located on the left side of your ComfyUI canvas.\n\n- These nodes are hidden in a subgraph on the template, but these were the default settings. I haven't messed with the settings, so change them at your own peril.\n\n- **The default denoise setting is 1.0**. I use it at 0.10 for a light polish.\n"
3072 ],
3073 "widgets_values_named": {
3074 "text": "#### The nodes used for SeedVR2 are taken from the searchable template for the seedVR2_3b found when clicking on the templates button typically located on the left side of your ComfyUI canvas.\n\n- These nodes are hidden in a subgraph on the template, but these were the default settings. I haven't messed with the settings, so change them at your own peril.\n\n- **The default denoise setting is 1.0**. I use it at 0.10 for a light polish.\n"
3075 },
3076 "color": "#432",
3077 "bgcolor": "#653"
3078 },
3079 {
3080 "id": 66,
3081 "type": "Image Comparer (rgthree)",
3082 "pos": [
3083 184260,
3084 -1210
3085 ],
3086 "size": [
3087 680,
3088 1040
3089 ],
3090 "flags": [],
3091 "order": 78,
3092 "mode": 0,
3093 "inputs": [
3094 {
3095 "dir": 3,
3096 "label": "after",
3097 "name": "image_a",
3098 "type": "IMAGE",
3099 "link": 55
3100 },
3101 {
3102 "dir": 3,
3103 "label": "before",
3104 "name": "image_b",
3105 "type": "IMAGE",
3106 "link": 56
3107 }
3108 ],
3109 "outputs": [
3110 {
3111 "dir": 4,
3112 "name": "images",
3113 "shape": 3,
3114 "type": "IMAGE",
3115 "links": []
3116 }
3117 ],
3118 "properties": {
3119 "cnr_id": "rgthree-comfy",
3120 "ver": "1.0.2610050029",
3121 "comparer_mode": "Slide"
3122 },
3123 "widgets_values": [
3124 [
3125 {
3126 "name": "A",
3127 "selected": true,
3128 "url": "/api/view?filename=rgthree.compare._temp_qxgdv_00029_.png&type=temp&subfolder=&rand=0.44779665919462475"
3129 },
3130 {
3131 "name": "B",
3132 "selected": true,
3133 "url": "/api/view?filename=rgthree.compare._temp_qxgdv_00030_.png&type=temp&subfolder=&rand=0.45978134852039365"
3134 }
3135 ]
3136 ],
3137 "widgets_values_named": {
3138 "rgthree_comparer": {
3139 "images": [
3140 {
3141 "name": "A",
3142 "selected": true,
3143 "url": "/api/view?filename=rgthree.compare._temp_qxgdv_00029_.png&type=temp&subfolder=&rand=0.44779665919462475",
3144 "img": []
3145 },
3146 {
3147 "name": "B",
3148 "selected": true,
3149 "url": "/api/view?filename=rgthree.compare._temp_qxgdv_00030_.png&type=temp&subfolder=&rand=0.45978134852039365",
3150 "img": []
3151 }
3152 ]
3153 }
3154 },
3155 "color": "#233",
3156 "bgcolor": "#355"
3157 },
3158 {
3159 "id": 67,
3160 "type": "CM_NumberToInt",
3161 "pos": [
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3164 ],
3165 "size": [
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3167 30
3168 ],
3169 "flags": [],
3170 "order": 68,
3171 "mode": 4,
3172 "inputs": [
3173 {
3174 "label": "width",
3175 "name": "a",
3176 "type": "NUMBER",
3177 "link": 57
3178 }
3179 ],
3180 "outputs": [
3181 {
3182 "label": "width",
3183 "name": "INT",
3184 "type": "INT",
3185 "links": [
3186 62
3187 ]
3188 }
3189 ],
3190 "title": "Upscaled Width - Num to INT",
3191 "properties": {
3192 "cnr_id": "ComfyMath",
3193 "ver": "c01177221c31b8e5fbc062778fc8254aeb541638",
3194 "Node name for S&R": "CM_NumberToInt"
3195 },
3196 "color": "#432",
3197 "bgcolor": "#653"
3198 },
3199 {
3200 "id": 68,
3201 "type": "CM_NumberToInt",
3202 "pos": [
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3205 ],
3206 "size": [
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3208 30
3209 ],
3210 "flags": [],
3211 "order": 69,
3212 "mode": 4,
3213 "inputs": [
3214 {
3215 "label": "height",
3216 "name": "a",
3217 "type": "NUMBER",
3218 "link": 58
3219 }
3220 ],
3221 "outputs": [
3222 {
3223 "label": "height",
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