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HaDeS MOSS Suite Workflows

HaDeS MOSS Suite Workflows

HaDeS MOSS Suite Workflows

HaDeS MOSS Suite WorkflowsThis page gathers my ComfyUI workflows for MOSS-Image, each one a new version here. They are built around the HaDeS MOSS Suite nodes and kept simple enough to load and run. Every setting in them…

图像 19 个节点 445 次使用 _HaDeS_ 36 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 1 个权重文件，其中 0 个能在本站模型库里找到。

HaDeS MOSS Suite - ControlNet.json 模型库暂未收录

节点构成

HaDeSMossImageSaver × 2
LoadImage × 1
PreviewImage × 1
Image Comparer (rgthree) × 1
DepthAnythingV2Preprocessor × 1
HaDeSMossLoader × 1
HaDeSMossPromptEnhancer × 1
HaDeSMossKSampler × 1
HaDeSMossTurbo × 1
HaDeSMossMultiLora × 1
HaDeSMossSuiteTelemetry × 1
HaDeSMossLatent × 1
Fast Groups Bypasser (rgthree) × 1
UpscaleModelLoader × 1
ImageUpscaleWithModel × 1
Fast Bypasser (rgthree) × 1

官方标注的模型

HaDeS-MOSS-Turbo-8steps-v0.7.safetensorsRealESRGAN_x2plus.pthdepth_anything_v2_vitl.pthflux2-vae.safetensorsmossImage_sft_bf16.safetensorsqwen3.5_9b_int8_convrot.safetensors

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

1{
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3 "revision": 0,
4 "last_node_id": 150,
5 "last_link_id": 474,
6 "nodes": [
7 {
8 "id": 10,
9 "type": "LoadImage",
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14 "size": [
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18 "flags": [],
19 "order": 0,
20 "mode": 0,
21 "inputs": [],
22 "outputs": [
23 {
24 "name": "IMAGE",
25 "type": "IMAGE",
26 "slot_index": 0,
27 "links": [
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31 465
32 ]
33 },
34 {
35 "name": "MASK",
36 "type": "MASK",
37 "slot_index": 1,
38 "links": []
39 }
40 ],
41 "properties": {
42 "cnr_id": "comfy-core",
43 "ver": "0.42.4",
44 "Node name for S&R": "LoadImage",
45 "ue_properties": {
46 "widget_ue_connectable": {
47 "image": true
48 },
49 "version": "7.8",
50 "input_ue_unconnectable": []
51 },
52 "guhaiImageValue": "full_sexy_P009_side.png"
53 },
54 "widgets_values": [
55 "00000-1260317115.png",
56 "image"
57 ],
58 "widgets_values_named": {
59 "image": "00000-1260317115.png",
60 "upload": "image"
61 }
62 },
63 {
64 "id": 15,
65 "type": "PreviewImage",
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74 "flags": [],
75 "order": 9,
76 "mode": 0,
77 "inputs": [
78 {
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80 "type": "IMAGE",
81 "link": 360
82 }
83 ],
84 "outputs": [
85 {
86 "name": "images",
87 "type": "IMAGE",
88 "slot_index": 0,
89 "links": []
90 }
91 ],
92 "properties": {
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94 "ver": "0.42.4",
95 "Node name for S&R": "PreviewImage",
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98 "version": "7.8",
99 "input_ue_unconnectable": []
100 }
101 },
102 "widgets_values": [],
103 "widgets_values_named": []
104 },
105 {
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126 },
127 {
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129 "label": "图像_B",
130 "name": "image_b",
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133 }
134 ],
135 "outputs": [
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138 "name": "images",
139 "shape": 3,
140 "type": "IMAGE",
141 "links": null
142 }
143 ],
144 "properties": {
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146 "ver": "d7297b42f0fa78bec1c0411478f887423c249502",
147 "comparer_mode": "Slide",
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153 },
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161 {
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166 ]
167 ],
168 "widgets_values_named": {
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175 "img": []
176 },
177 {
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179 "selected": true,
180 "url": "/api/view?filename=rgthree.compare._temp_xmrlc_00057_.png&type=temp&subfolder=&rand=0.34411582026175724",
181 "img": []
182 }
183 ]
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185 }
186 },
187 {
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206 }
207 ],
208 "outputs": [
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216 }
217 ],
218 "properties": {
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221 "Node name for S&R": "DepthAnythingV2Preprocessor",
222 "ue_properties": {
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224 "version": "8.0.1",
225 "input_ue_unconnectable": []
226 }
227 },
228 "widgets_values": [
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232 "widgets_values_named": {
233 "ckpt_name": "depth_anything_v2_vitl.pth",
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236 },
237 {
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248 "flags": [],
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259 },
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275 {
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277 "type": "STRING",
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283 "properties": {
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285 "ver": "fe45af2efbfc41ab612664f35c08420a39ffdff9",
286 "Node name for S&R": "HaDeSMossLoader",
287 "ue_properties": {
288 "version": "8.0.1",
289 "widget_ue_connectable": [],
290 "input_ue_unconnectable": [],
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292 "input_regex": null,
293 "group_regex": null,
294 "title_regex_invert": false,
295 "input_regex_invert": false,
296 "group_regex_invert": false,
297 "apply_to_unrepeated": 0,
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299 "string_to_combo": 0,
300 "repeated_type_rule": 0,
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303 }
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305 "widgets_values": [
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308 "flux2-vae.safetensors",
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310 "default"
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312 "widgets_values_named": {
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314 "clip_name": "qwen3.5_9b_int8_convrot.safetensors",
315 "vae_name": "flux2-vae.safetensors",
316 "weight_dtype": "default",
317 "clip_device": "default"
318 },
319 "color": "#20251d",
320 "bgcolor": "#171a16"
321 },
322 {
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324 "type": "HaDeSMossPromptEnhancer",
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329 "size": [
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341 },
342 {
343 "name": "image",
344 "shape": 7,
345 "type": "IMAGE",
346 "link": 464
347 }
348 ],
349 "outputs": [
350 {
351 "name": "positive",
352 "type": "CONDITIONING",
353 "links": [
354 448
355 ]
356 },
357 {
358 "name": "negative",
359 "type": "CONDITIONING",
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363 },
364 {
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371 {
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373 "type": "STRING",
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375 },
376 {
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380 },
381 {
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384 "links": null
385 },
386 {
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392 }
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396 "ver": "fe45af2efbfc41ab612664f35c08420a39ffdff9",
397 "Node name for S&R": "HaDeSMossPromptEnhancer",
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410 "string_to_combo": 0,
411 "repeated_type_rule": 0,
412 "group_restricted": 0,
413 "color_restricted": 0
414 }
415 },
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427 "widgets_values_named": {
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431 "height": 1024,
432 "temperature": 0.2,
433 "seed": 0,
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436 "negative": "worst quality, low quality"
437 },
438 "color": "#20251d",
439 "bgcolor": "#171a16"
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466 {
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470 },
471 {
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482 {
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485 "type": "MOSS_TURBO",
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487 },
488 {
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497 "outputs": [
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503 {
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530 "group_regex": null,
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561 "flow_shift": 0,
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563 },
564 "color": "#20251d",
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610 "color_restricted": 0
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612 },
613 "widgets_values": [
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629 "color": "#20251d",
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643 "flags": [],
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653 "outputs": [
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690 },
691 "widgets_values": [
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699 "color": "#20251d",
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702 {
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767 "color_restricted": 0
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775 "widgets_values_named": {
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777 "hashes": true,
778 "embed_workflow": true
779 },
780 "color": "#20251d",
781 "bgcolor": "#171a16"
782 },
783 {
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785 "type": "HaDeSMossSuiteTelemetry",
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847 "outputs": [
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850 "type": "STRING",
851 "links": null
852 },
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