工作流 /
节点基础 /
从列表批次处理文本提示
从列表批次处理文本提示
Batch Process Text Prompts From List
使用文本列表中的提示词顺序加载并执行工作流。遍历每个条目以从单次批次操作中生成多个输出。
节点基础
5 个节点 17 次使用 ComfyUI ≥ 0.4.0 ComfyUI 27 KB
需要的权重
这个工作流引用了 3 个权重文件，其中 3 个能在本站模型库里找到。
节点构成
FL_PromptSelectorBasic
× 1
SaveImage
× 1
PrimitiveInt
× 1
MarkdownNote
× 1
ca7506c4-0f1a-4a77-9d2e-b9077eaf58d5
× 1
官方标注的模型
Z-Image-Turbo
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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5 "last_link_id": 42,
6 "nodes": [
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17 ],
18 "flags": [],
19 "order": 2,
20 "mode": 0,
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25 "widget": {
26 "name": "index"
27 },
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29 }
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35 "links": [
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38 }
39 ],
40 "properties": {
41 "Node name for S&R": "FL_PromptSelectorBasic"
42 },
43 "widgets_values": [
44 "Modern art installation, tranquil scene, museum aesthetic\nContemporary gallery scene, calm atmosphere, elegant tone\nMinimal museum scene, soft light, peaceful aesthetic\nAbstract art space, gentle shadow, museum editorial",
45 0
46 ],
47 "color": "#16727c",
48 "bgcolor": "#4F0074"
49 },
50 {
51 "id": 36,
52 "type": "SaveImage",
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60 ],
61 "flags": [],
62 "order": 4,
63 "mode": 0,
64 "inputs": [
65 {
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67 "type": "IMAGE",
68 "link": 42
69 }
70 ],
71 "outputs": [],
72 "properties": [],
73 "widgets_values": [
74 "ComfyUI"
75 ]
76 },
77 {
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79 "type": "PrimitiveInt",
80 "pos": [
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83 ],
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87 ],
88 "flags": [],
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92 {
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95 "type": "INT",
96 "widget": {
97 "name": "value"
98 },
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100 }
101 ],
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119 {
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133 "inputs": [],
134 "outputs": [],
135 "properties": [],
136 "widgets_values": [
137 "# 🔢 FL Prompt Selector\n\nWalks through a list of prompts one at a time using an **Int node as the index**. \nConnect it to a Blueprint or Partner Node to run one prompt per batch step.\n\n---\n\n## How it works\n\nWrite one prompt per line in the prompts field — the Int node selects which line \nto use by index. In a batched run, the index increments automatically with each step.\n\nIf your batch has more runs than lines in your list, it **loops back to the top**.\n\n---\n\n## What's an Int?\n\nAn **Int** (integer) is a whole number node — it holds a single number value like \n`0`, `1`, or `2`. Here it acts as a pointer, telling the selector which line in \nyour prompt list to use. Index `0` = first line, `1` = second line, and so on.\n\n---\n\n## Setup\n\n1. Write each prompt on its own line\n2. Connect an **Int node** to the `index` input to control the starting position\n3. Connect the **STRING output** to a Blueprint or Partner Node\n4. Set your batch size — the node will walk the list automatically\n\n---\n\n_💡 Set the Int node to 0 to always start from the top of your list._"
138 ],
139 "color": "#222",
140 "bgcolor": "#000"
141 },
142 {
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152 ],
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155 "mode": 0,
156 "inputs": [
157 {
158 "label": "prompt",
159 "name": "text",
160 "type": "STRING",
161 "widget": {
162 "name": "text"
163 },
164 "link": 41
165 }
166 ],
167 "outputs": [
168 {
169 "name": "IMAGE",
170 "type": "IMAGE",
171 "links": [
172 42
173 ]
174 }
175 ],
176 "properties": {
177 "proxyWidgets": [
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180 "text"
181 ],
182 [
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184 "width"
185 ],
186 [
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188 "height"
189 ],
190 [
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193 ],
194 [
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196 "clip_name"
197 ],
198 [
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200 "vae_name"
201 ],
202 [
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204 "seed"
205 ],
206 [
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208 "control_after_generate"
209 ]
210 ],
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212 "ver": "0.3.73",
213 "enableTabs": false,
214 "hasSecondTab": false,
215 "secondTabOffset": 80,
216 "secondTabText": "Send Back",
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218 "tabWidth": 65,
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220 },
221 "widgets_values": []
222 }
223 ],
224 "links": [
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232 ],
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241 [
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244 0,
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250 "groups": [],
251 "definitions": {
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256 "state": {
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258 "lastNodeId": 47,
259 "lastLinkId": 42,
260 "lastRerouteId": 0
261 },
262 "revision": 0,
263 "config": [],
264 "name": "Text to Image (Z-Image-Turbo)",
265 "inputNode": {
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290 ],
291 "label": "prompt",
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295 ]
296 },
297 {
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299 "name": "width",
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303 ],
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307 ]
308 },
309 {
310 "id": "7b08d546-6bb0-4ef9-82e9-ffae5e1ee6bc",
311 "name": "height",
312 "type": "INT",
313 "linkIds": [
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315 ],
316 "pos": [
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319 ]
320 },
321 {
322 "id": "23087d15-8412-4fbd-b71e-9b6d7ef76de1",
323 "name": "unet_name",
324 "type": "COMBO",
325 "linkIds": [
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327 ],
328 "pos": [
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331 ]
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333 {
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335 "name": "clip_name",
336 "type": "COMBO",
337 "linkIds": [
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339 ],
340 "pos": [
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342 525
343 ]
344 },
345 {
346 "id": "c85c0445-2641-48b1-bbca-95057edf2fcf",
347 "name": "vae_name",
348 "type": "COMBO",
349 "linkIds": [
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351 ],
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355 ]
356 }
357 ],
358 "outputs": [
359 {
360 "id": "1fa72a21-ce00-4952-814e-1f2ffbe87d1d",
361 "name": "IMAGE",
362 "type": "IMAGE",
363 "linkIds": [
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365 ],
366 "localized_name": "IMAGE",
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370 ]
371 }
372 ],
373 "widgets": [],
374 "nodes": [
375 {
376 "id": 39,
377 "type": "CLIPLoader",
378 "pos": [
379 110,
380 330
381 ],
382 "size": [
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384 110
385 ],
386 "flags": [],
387 "order": 1,
388 "mode": 0,
389 "inputs": [
390 {
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392 "name": "clip_name",
393 "type": "COMBO",
394 "widget": {
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396 },
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398 }
399 ],
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408 }
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410 "properties": {
411 "Node name for S&R": "CLIPLoader",
412 "cnr_id": "comfy-core",
413 "ver": "0.3.73",
414 "models": [
415 {
416 "name": "qwen_3_4b.safetensors",
417 "url": "https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors",
418 "directory": "text_encoders"
419 }
420 ],
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452 "name": "vae_name",
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464 "type": "VAE",
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467 ]
468 }
469 ],
470 "properties": {
471 "Node name for S&R": "VAELoader",
472 "cnr_id": "comfy-core",
473 "ver": "0.3.73",
474 "models": [
475 {
476 "name": "ae.safetensors",
477 "url": "https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors",
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479 }
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636 }
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