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Zwaetschge's Qwen Image 2.1 Turbo Workflows

Zwaetschge's Qwen Image 2.1 Turbo Workflows

Zwaetschge's Qwen Image 2.1 Turbo Workflows

# Qwen-Image 2.1 Turbo — 8-Step Text-to-ImageAn English ComfyUI workflow for the full Qwen-Image 2.1 Turbo checkpoint, with a clear layout, built-in setup instructions, and optional LoRA support.### Features- INT8 ConvRo…

图像 18 个节点 315 次使用 zwaetschge 23 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。

Qwen21-Anime2Real.json 模型库暂未收录

节点构成

LoadImage × 1
UNETLoader × 1
Power Lora Loader (rgthree) × 1
QwenImage21Cache × 1
CLIPLoader × 1
VAELoader × 1
PrimitiveStringMultiline × 1
TextEncodeQwenImage21 × 1
SamplerCustom × 1
VAEDecode × 1
SaveImage × 1
KSamplerSelect × 1
ManualSigmas × 1
NRFXPreset × 1
NRFXNeuralRender × 1
GetImageSize × 1

官方标注的模型

MoreReal.safetensorsnaturalskindetailV1EFBC.0YOU.safetensorsqwen21_gpt26_fotomovil_6k.safetensorsqwen3vl_8b_int8_convrot.safetensorsqwen_image21_turbo_int8_convrot.safetensorsqwen_image_2.1_vae_bf16.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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6 "nodes": [
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9 "type": "LoadImage",
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17 ],
18 "flags": [],
19 "order": 0,
20 "mode": 0,
21 "inputs": [],
22 "outputs": [
23 {
24 "name": "IMAGE",
25 "type": "IMAGE",
26 "links": [
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28 ]
29 },
30 {
31 "name": "MASK",
32 "type": "MASK",
33 "links": []
34 }
35 ],
36 "title": "Load image 1 / source image",
37 "properties": {
38 "Node name for S&R": "LoadImage"
39 },
40 "widgets_values": [
41 "316nlhpd2k1i1.png",
42 "image"
43 ],
44 "widgets_values_named": {
45 "image": "316nlhpd2k1i1.png",
46 "upload": "image"
47 },
48 "color": "#244c49",
49 "bgcolor": "#142c2b"
50 },
51 {
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62 "flags": [],
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65 "inputs": [],
66 "outputs": [
67 {
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69 "type": "MODEL",
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72 ]
73 }
74 ],
75 "title": "Diffusion model / Full Turbo INT8",
76 "properties": {
77 "Node name for S&R": "UNETLoader"
78 },
79 "widgets_values": [
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83 "widgets_values_named": {
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153 {
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168 "widgets_values_named": {
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182 "strength": 0.5,
183 "strengthTwo": null
184 },
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187 "lora": "qwen2.1/style/naturalskindetailV1EFBC.0YOU.safetensors",
188 "strength": 0.7,
189 "strengthTwo": null
190 },
191 "divider#2": [],
192 "➕ Add Lora": ""
193 },
194 "color": "#36465a",
195 "bgcolor": "#1b2533"
196 },
197 {
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208 "flags": [],
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217 ],
218 "outputs": [
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224 ]
225 }
226 ],
227 "title": "Model cache / automatic",
228 "properties": {
229 "Node name for S&R": "QwenImage21Cache"
230 },
231 "widgets_values": [
232 "auto",
233 "default"
234 ],
235 "widgets_values_named": {
236 "device": "auto",
237 "dtype": "default"
238 },
239 "color": "#36465a",
240 "bgcolor": "#1b2533"
241 },
242 {
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244 "type": "CLIPLoader",
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252 ],
253 "flags": [],
254 "order": 2,
255 "mode": 0,
256 "inputs": [],
257 "outputs": [
258 {
259 "name": "CLIP",
260 "type": "CLIP",
261 "links": [
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263 ]
264 }
265 ],
266 "title": "Text encoder / Qwen3-VL",
267 "properties": {
268 "Node name for S&R": "CLIPLoader"
269 },
270 "widgets_values": [
271 "qwen3vl_8b_int8_convrot.safetensors",
272 "qwen_image",
273 "default"
274 ],
275 "widgets_values_named": {
276 "clip_name": "qwen3vl_8b_int8_convrot.safetensors",
277 "type": "qwen_image",
278 "device": "default"
279 },
280 "color": "#36465a",
281 "bgcolor": "#1b2533"
282 },
283 {
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285 "type": "VAELoader",
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290 "size": [
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293 ],
294 "flags": [],
295 "order": 3,
296 "mode": 0,
297 "inputs": [],
298 "outputs": [
299 {
300 "name": "VAE",
301 "type": "VAE",
302 "links": [
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305 ]
306 }
307 ],
308 "title": "VAE / Qwen-Image 2.1",
309 "properties": {
310 "Node name for S&R": "VAELoader"
311 },
312 "widgets_values": [
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314 ],
315 "widgets_values_named": {
316 "vae_name": "qwen_image_2.1_vae_bf16.safetensors"
317 },
318 "color": "#36465a",
319 "bgcolor": "#1b2533"
320 },
321 {
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323 "type": "PrimitiveStringMultiline",
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327 ],
328 "size": [
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331 ],
332 "flags": [],
333 "order": 4,
334 "mode": 0,
335 "inputs": [],
336 "outputs": [
337 {
338 "name": "STRING",
339 "type": "STRING",
340 "links": [
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342 ]
343 }
344 ],
345 "title": "EDIT INSTRUCTION",
346 "properties": {
347 "Node name for S&R": "PrimitiveStringMultiline"
348 },
349 "widgets_values": [
350 "A2R. Convert this illustration into a photorealistic picture. retail all details."
351 ],
352 "widgets_values_named": {
353 "value": "A2R. Convert this illustration into a photorealistic picture. retail all details."
354 },
355 "color": "#36465a",
356 "bgcolor": "#1b2533"
357 },
358 {
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360 "type": "TextEncodeQwenImage21",
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363 365.7176744884208
364 ],
365 "size": [
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367 300
368 ],
369 "flags": [],
370 "order": 10,
371 "mode": 0,
372 "inputs": [
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374 "name": "clip",
375 "type": "CLIP",
376 "link": 26
377 },
378 {
379 "name": "images.image_1",
380 "shape": 7,
381 "type": "IMAGE",
382 "link": 6
383 },
384 {
385 "name": "images.image_2",
386 "shape": 7,
387 "type": "IMAGE",
388 "link": null
389 },
390 {
391 "name": "images.image_3",
392 "shape": 7,
393 "type": "IMAGE",
394 "link": null
395 },
396 {
397 "name": "images.image_4",
398 "shape": 7,
399 "type": "IMAGE",
400 "link": null
401 },
402 {
403 "name": "vae",
404 "shape": 7,
405 "type": "VAE",
406 "link": 4
407 },
408 {
409 "name": "prompt",
410 "type": "STRING",
411 "widget": {
412 "name": "prompt"
413 },
414 "link": 5
415 }
416 ],
417 "outputs": [
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420 "type": "CONDITIONING",
421 "links": [
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423 ]
424 },
425 {
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427 "type": "CONDITIONING",
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430 ]
431 },
432 {
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434 "type": "LATENT",
435 "links": [
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437 ]
438 }
439 ],
440 "title": "Conditioning / resolution 1440",
441 "properties": {
442 "Node name for S&R": "TextEncodeQwenImage21"
443 },
444 "widgets_values": [
445 "",
446 "",
447 1440
448 ],
449 "widgets_values_named": {
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451 "negative_prompt": "",
452 "resolution": 1440
453 },
454 "color": "#36465a",
455 "bgcolor": "#1b2533"
456 },
457 {
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464 "size": [
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467 ],
468 "flags": [],
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471 "inputs": [
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476 },
477 {
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481 },
482 {
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486 },
487 {
488 "name": "sampler",
489 "type": "SAMPLER",
490 "link": 14
491 },
492 {
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494 "type": "SIGMAS",
495 "link": 15
496 },
497 {
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499 "type": "LATENT",
500 "link": 10
501 }
502 ],
503 "outputs": [
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509 ]
510 },
511 {
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513 "type": "LATENT",
514 "links": []
515 }
516 ],
517 "title": "Turbo / 8 steps / seed + CFG 1",
518 "properties": {
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520 },
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527 "widgets_values_named": {
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533 "color": "#665234",
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536 {
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556 {
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560 }
561 ],
562 "outputs": [
563 {
564 "name": "IMAGE",
565 "type": "IMAGE",
566 "links": [
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570 ]
571 }
572 ],
573 "title": "Decode to image",
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576 },
577 "color": "#665234",
578 "bgcolor": "#30291d"
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580 {
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593 "mode": 0,
594 "inputs": [
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598 "link": 13
599 }
600 ],
601 "outputs": [
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604 "type": "IMAGE",
605 "links": null
606 }
607 ],
608 "title": "Save output / PNG",
609 "properties": {
610 "Node name for S&R": "SaveImage"
611 },
612 "widgets_values": [
613 "Qwen21-Anime2Real-NSFW"
614 ],
615 "widgets_values_named": {
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617 },
618 "color": "#365442",
619 "bgcolor": "#192d23"
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636 "outputs": [
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642 ]
643 }
644 ],
645 "title": "Euler / keep unchanged",
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648 },
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655 "color": "#36465a",
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673 "outputs": [
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676 "type": "SIGMAS",
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679 ]
680 }
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682 "title": "Official eight-step sigmas / keep unchanged",
683 "properties": {
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685 },
686 "widgets_values": [
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691 },
692 "color": "#36465a",
693 "bgcolor": "#1b2533"
694 },
695 {
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718 }
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720 "title": "NR LOOK / 11 looks + backend + Small/HT",
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724 "widgets_values": [
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732 "widgets_values_named": {
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735 "upscaler": "none",
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737 "nr_backend": "nvidia",
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740 "color": "#385344",
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770 "outputs": [
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777 },
778 {
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781 "links": []
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783 ],
784 "title": "Neural Render / NVIDIA or native / Small or HT",
785 "properties": {
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787 },
788 "color": "#385344",
789 "bgcolor": "#192d22"
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791 {
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812 "outputs": [
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819 },
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827 {
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829 "type": "INT",
830 "links": []
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832 ],
833 "title": "Original canvas size",
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837 "color": "#385344",
838 "bgcolor": "#192d22"
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859 },
860 {
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863 "type": "NRFX_SETTINGS",
864 "link": 24
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866 {
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874 {
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881 }
882 ],
883 "outputs": [
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886 "type": "IMAGE",
887 "links": [
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889 ]
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891 ],
892 "title": "OUTPUT SIZE / retain selected upscale",
893 "properties": {
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896 "widgets_values": [
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898 512,
899 512,
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907 "crop": "disabled",
908 "keep_source_canvas": false
909 },
910 "color": "#385344",
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948 "title": "ENABLE NEURAL RENDER / output 11 / default false",
949 "properties": {
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951 },
952 "widgets_values": [
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