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工作流 / 图像 / SDXL修订文本提示
SDXL修订文本提示

SDXL修订文本提示

SDXL Revision Text Prompts

使用SDXL修订版从参考图像转移概念生成图像。

图像 15 个节点 2 个输入 38 次使用 ComfyUI ≥ 0.0.1 ComfyUI 15 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 2 个能在本站模型库里找到。

clip_vision_g.safetensors 在模型库查看
sd_xl_base_1.0.safetensors 在模型库查看

节点构成

CLIPTextEncode × 2
LoadImage × 2
CLIPVisionEncode × 2
unCLIPConditioning × 2
CLIPVisionLoader × 1
CheckpointLoaderSimple × 1
EmptyLatentImage × 1
KSampler × 1
SaveImage × 1
MarkdownNote × 1
VAEDecode × 1

官方标注的模型

SDXLStability

工作流 JSON

和上面「下载工作流 JSON」是同一份文件。

1{
2 "id": "22fbfe6b-e7d7-4193-8409-8599b5dce771",
3 "revision": 0,
4 "last_node_id": 41,
5 "last_link_id": 106,
6 "nodes": [
7 {
8 "id": 39,
9 "type": "CLIPVisionLoader",
10 "pos": [
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12 -240
13 ],
14 "size": [
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16 58
17 ],
18 "flags": [],
19 "order": 0,
20 "mode": 0,
21 "inputs": [],
22 "outputs": [
23 {
24 "name": "CLIP_VISION",
25 "type": "CLIP_VISION",
26 "slot_index": 0,
27 "links": [
28 101,
29 102
30 ]
31 }
32 ],
33 "properties": {
34 "Node name for S&R": "CLIPVisionLoader",
35 "cnr_id": "comfy-core",
36 "ver": "0.3.65",
37 "models": [
38 {
39 "name": "clip_vision_g.safetensors",
40 "url": "https://huggingface.co/comfyanonymous/clip_vision_g/resolve/main/clip_vision_g.safetensors?download=true",
41 "directory": "clip_vision"
42 }
43 ]
44 },
45 "widgets_values": [
46 "clip_vision_g.safetensors"
47 ]
48 },
49 {
50 "id": 7,
51 "type": "CLIPTextEncode",
52 "pos": [
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55 ],
56 "size": [
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58 180.61000061035156
59 ],
60 "flags": [],
61 "order": 8,
62 "mode": 0,
63 "inputs": [
64 {
65 "name": "clip",
66 "type": "CLIP",
67 "link": 105
68 }
69 ],
70 "outputs": [
71 {
72 "name": "CONDITIONING",
73 "type": "CONDITIONING",
74 "slot_index": 0,
75 "links": [
76 6
77 ]
78 }
79 ],
80 "properties": {
81 "Node name for S&R": "CLIPTextEncode",
82 "cnr_id": "comfy-core",
83 "ver": "0.3.65"
84 },
85 "widgets_values": [
86 "text, watermark"
87 ],
88 "color": "#223",
89 "bgcolor": "#335"
90 },
91 {
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93 "type": "LoadImage",
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97 ],
98 "size": [
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101 ],
102 "flags": [],
103 "order": 1,
104 "mode": 0,
105 "inputs": [],
106 "outputs": [
107 {
108 "name": "IMAGE",
109 "type": "IMAGE",
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111 "links": [
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114 },
115 {
116 "name": "MASK",
117 "type": "MASK",
118 "links": null
119 }
120 ],
121 "properties": {
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123 "cnr_id": "comfy-core",
124 "ver": "0.3.65"
125 },
126 "widgets_values": [
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128 "image"
129 ]
130 },
131 {
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133 "type": "CLIPVisionEncode",
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142 "flags": [],
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148 "type": "CLIP_VISION",
149 "link": 101
150 },
151 {
152 "name": "image",
153 "type": "IMAGE",
154 "link": 95
155 }
156 ],
157 "outputs": [
158 {
159 "name": "CLIP_VISION_OUTPUT",
160 "type": "CLIP_VISION_OUTPUT",
161 "slot_index": 0,
162 "links": [
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164 ]
165 }
166 ],
167 "properties": {
168 "Node name for S&R": "CLIPVisionEncode",
169 "cnr_id": "comfy-core",
170 "ver": "0.3.65"
171 },
172 "widgets_values": [
173 "center"
174 ]
175 },
176 {
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178 "type": "unCLIPConditioning",
179 "pos": [
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181 610
182 ],
183 "size": [
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185 102
186 ],
187 "flags": [],
188 "order": 10,
189 "mode": 0,
190 "inputs": [
191 {
192 "name": "conditioning",
193 "type": "CONDITIONING",
194 "link": 23
195 },
196 {
197 "name": "clip_vision_output",
198 "type": "CLIP_VISION_OUTPUT",
199 "link": 24
200 }
201 ],
202 "outputs": [
203 {
204 "name": "CONDITIONING",
205 "type": "CONDITIONING",
206 "slot_index": 0,
207 "links": [
208 96
209 ]
210 }
211 ],
212 "properties": {
213 "Node name for S&R": "unCLIPConditioning",
214 "cnr_id": "comfy-core",
215 "ver": "0.3.65"
216 },
217 "widgets_values": [
218 0.75,
219 0
220 ]
221 },
222 {
223 "id": 36,
224 "type": "CLIPVisionEncode",
225 "pos": [
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228 ],
229 "size": [
230 340,
231 78
232 ],
233 "flags": [],
234 "order": 9,
235 "mode": 0,
236 "inputs": [
237 {
238 "name": "clip_vision",
239 "type": "CLIP_VISION",
240 "link": 102
241 },
242 {
243 "name": "image",
244 "type": "IMAGE",
245 "link": 98
246 }
247 ],
248 "outputs": [
249 {
250 "name": "CLIP_VISION_OUTPUT",
251 "type": "CLIP_VISION_OUTPUT",
252 "slot_index": 0,
253 "links": [
254 100
255 ]
256 }
257 ],
258 "properties": {
259 "Node name for S&R": "CLIPVisionEncode",
260 "cnr_id": "comfy-core",
261 "ver": "0.3.65"
262 },
263 "widgets_values": [
264 "center"
265 ]
266 },
267 {
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269 "type": "unCLIPConditioning",
270 "pos": [
271 -70,
272 610
273 ],
274 "size": [
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276 102
277 ],
278 "flags": [],
279 "order": 11,
280 "mode": 0,
281 "inputs": [
282 {
283 "name": "conditioning",
284 "type": "CONDITIONING",
285 "link": 96
286 },
287 {
288 "name": "clip_vision_output",
289 "type": "CLIP_VISION_OUTPUT",
290 "link": 100
291 }
292 ],
293 "outputs": [
294 {
295 "name": "CONDITIONING",
296 "type": "CONDITIONING",
297 "slot_index": 0,
298 "links": [
299 97
300 ]
301 }
302 ],
303 "properties": {
304 "Node name for S&R": "unCLIPConditioning",
305 "cnr_id": "comfy-core",
306 "ver": "0.3.65"
307 },
308 "widgets_values": [
309 0.75,
310 0
311 ]
312 },
313 {
314 "id": 40,
315 "type": "CheckpointLoaderSimple",
316 "pos": [
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318 -400
319 ],
320 "size": [
321 315,
322 98
323 ],
324 "flags": [],
325 "order": 2,
326 "mode": 0,
327 "inputs": [],
328 "outputs": [
329 {
330 "name": "MODEL",
331 "type": "MODEL",
332 "slot_index": 0,
333 "links": [
334 103
335 ]
336 },
337 {
338 "name": "CLIP",
339 "type": "CLIP",
340 "slot_index": 1,
341 "links": [
342 104,
343 105
344 ]
345 },
346 {
347 "name": "VAE",
348 "type": "VAE",
349 "slot_index": 2,
350 "links": [
351 106
352 ]
353 }
354 ],
355 "properties": {
356 "Node name for S&R": "CheckpointLoaderSimple",
357 "cnr_id": "comfy-core",
358 "ver": "0.3.65",
359 "models": [
360 {
361 "name": "sd_xl_base_1.0.safetensors",
362 "url": "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors?download=true",
363 "directory": "checkpoints"
364 }
365 ]
366 },
367 "widgets_values": [
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369 ]
370 },
371 {
372 "id": 5,
373 "type": "EmptyLatentImage",
374 "pos": [
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376 -90
377 ],
378 "size": [
379 340,
380 106
381 ],
382 "flags": [],
383 "order": 3,
384 "mode": 0,
385 "inputs": [],
386 "outputs": [
387 {
388 "name": "LATENT",
389 "type": "LATENT",
390 "slot_index": 0,
391 "links": [
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393 ]
394 }
395 ],
396 "properties": {
397 "Node name for S&R": "EmptyLatentImage",
398 "cnr_id": "comfy-core",
399 "ver": "0.3.65"
400 },
401 "widgets_values": [
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403 1024,
404 1
405 ]
406 },
407 {
408 "id": 38,
409 "type": "LoadImage",
410 "pos": [
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412 110
413 ],
414 "size": [
415 330,
416 340
417 ],
418 "flags": [],
419 "order": 4,
420 "mode": 0,
421 "inputs": [],
422 "outputs": [
423 {
424 "name": "IMAGE",
425 "type": "IMAGE",
426 "slot_index": 0,
427 "links": [
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430 },
431 {
432 "name": "MASK",
433 "type": "MASK",
434 "links": null
435 }
436 ],
437 "properties": {
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439 "cnr_id": "comfy-core",
440 "ver": "0.3.65"
441 },
442 "widgets_values": [
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444 "image"
445 ]
446 },
447 {
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454 "size": [
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457 ],
458 "flags": [],
459 "order": 12,
460 "mode": 0,
461 "inputs": [
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465 "link": 103
466 },
467 {
468 "name": "positive",
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471 },
472 {
473 "name": "negative",
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475 "link": 6
476 },
477 {
478 "name": "latent_image",
479 "type": "LATENT",
480 "link": 2
481 }
482 ],
483 "outputs": [
484 {
485 "name": "LATENT",
486 "type": "LATENT",
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491 }
492 ],
493 "properties": {
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495 "cnr_id": "comfy-core",
496 "ver": "0.3.65"
497 },
498 "widgets_values": [
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504 "exponential",
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515 "size": [
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528 ],
529 "outputs": [],
530 "properties": {
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532 "ver": "0.3.65"
533 },
534 "widgets_values": [
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536 ]
537 },
538 {
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551 "mode": 0,
552 "inputs": [],
553 "outputs": [],
554 "properties": [],
555 "widgets_values": [
556 "🛈 [Learn more about this workflow](https://comfyanonymous.github.io/ComfyUI_examples/sdxl/#revision)\n\n\n## Model links\n\n**checkpoints**\n\n- [sd_xl_base_1.0.safetensors](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors) (6.46 GB)\n\n**clip_vision**\n\n- [clip_vision_g.safetensors](https://huggingface.co/comfyanonymous/clip_vision_g/resolve/main/clip_vision_g.safetensors) (3.44 GB)\n\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 checkpoints/\n│ │ └── sd_xl_base_1.0.safetensors\n│ └── 📂 clip_vision/\n│ └── clip_vision_g.safetensors\n```\n"
557 ],
558 "color": "#222",
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560 },
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586 ],
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596 ],
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600 "ver": "0.3.65"
601 },
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634 ],
635 "properties": {
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640 "widgets_values": [
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855}