工作流 /
视频 /
混元视频 1.5 图生视频
混元视频 1.5 图生视频
Hunyuan Video 1.5 Image to Video
将静态图像动画化为动态视频，支持精准的运动与镜头控制，在保持照片与插画视觉一致的同时，带来流畅自然的动作，让画面更生动。
视频
45 个节点 1 个输入 86 次使用 ComfyUI ≥ 0.3.71 ComfyUI 46 KB
需要的权重
这个工作流引用了 7 个权重文件，其中 7 个能在本站模型库里找到。
byt5_small_glyphxl_fp16.safetensors
在模型库查看
hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors
在模型库查看
hunyuanvideo1.5_720p_i2v_fp16.safetensors
在模型库查看
hunyuanvideo15_latent_upsampler_1080p.safetensors
在模型库查看
hunyuanvideo15_vae_fp16.safetensors
在模型库查看
qwen_2.5_vl_7b_fp8_scaled.safetensors
在模型库查看
sigclip_vision_patch14_384.safetensors
在模型库查看
节点构成
MarkdownNote
× 3
Note
× 3
CFGGuider
× 3
SamplerCustomAdvanced
× 3
UNETLoader
× 2
CreateVideo
× 2
CLIPTextEncode
× 2
EasyCache
× 2
VAEDecode
× 2
VAEDecodeTiled
× 2
BasicScheduler
× 2
RandomNoise
× 2
KSamplerSelect
× 2
ModelSamplingSD3
× 2
SaveVideo
× 2
CLIPVisionLoader
× 1
官方标注的模型
Hunyuan Video
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,
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5 "last_link_id": 343,
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13 ],
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18 "flags": [],
19 "order": 0,
20 "mode": 0,
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22 "outputs": [
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25 "type": "CLIP_VISION",
26 "links": [
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28 ]
29 }
30 ],
31 "properties": {
32 "cnr_id": "comfy-core",
33 "ver": "0.3.68",
34 "Node name for S&R": "CLIPVisionLoader",
35 "models": [
36 {
37 "name": "sigclip_vision_patch14_384.safetensors",
38 "url": "https://huggingface.co/Comfy-Org/sigclip_vision_384/resolve/main/sigclip_vision_patch14_384.safetensors",
39 "directory": "clip_vision"
40 }
41 ]
42 },
43 "widgets_values": [
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46 },
47 {
48 "id": 11,
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53 ],
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57 ],
58 "flags": [],
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60 "mode": 0,
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63 {
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65 "type": "CLIP",
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67 "links": [
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71 }
72 ],
73 "properties": {
74 "cnr_id": "comfy-core",
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80 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors",
81 "directory": "text_encoders"
82 },
83 {
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85 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/byt5_small_glyphxl_fp16.safetensors",
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93 "hunyuan_video_15",
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96 },
97 {
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119 }
120 ],
121 "properties": {
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125 "models": [
126 {
127 "name": "hunyuanvideo15_latent_upsampler_1080p.safetensors",
128 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/latent_upscale_models/hunyuanvideo15_latent_upsampler_1080p.safetensors",
129 "directory": "latent_upscale_models"
130 }
131 ]
132 },
133 "widgets_values": [
134 "hunyuanvideo15_latent_upsampler_1080p.safetensors"
135 ]
136 },
137 {
138 "id": 111,
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143 ],
144 "size": [
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148 "flags": [],
149 "order": 3,
150 "mode": 4,
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155 "type": "MODEL",
156 "slot_index": 0,
157 "links": [
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160 }
161 ],
162 "properties": {
163 "cnr_id": "comfy-core",
164 "ver": "0.3.68",
165 "Node name for S&R": "UNETLoader",
166 "models": [
167 {
168 "name": "hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors",
169 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors",
170 "directory": "diffusion_models"
171 }
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173 },
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178 },
179 {
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198 },
199 {
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202 "type": "AUDIO",
203 "link": null
204 }
205 ],
206 "outputs": [
207 {
208 "name": "VIDEO",
209 "type": "VIDEO",
210 "links": [
211 269
212 ]
213 }
214 ],
215 "properties": {
216 "cnr_id": "comfy-core",
217 "ver": "0.3.68",
218 "Node name for S&R": "CreateVideo"
219 },
220 "widgets_values": [
221 24
222 ]
223 },
224 {
225 "id": 79,
226 "type": "CLIPVisionEncode",
227 "pos": [
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230 ],
231 "size": [
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233 78
234 ],
235 "flags": [],
236 "order": 22,
237 "mode": 0,
238 "inputs": [
239 {
240 "name": "clip_vision",
241 "type": "CLIP_VISION",
242 "link": 225
243 },
244 {
245 "name": "image",
246 "type": "IMAGE",
247 "link": 219
248 }
249 ],
250 "outputs": [
251 {
252 "name": "CLIP_VISION_OUTPUT",
253 "type": "CLIP_VISION_OUTPUT",
254 "links": [
255 217,
256 299
257 ]
258 }
259 ],
260 "properties": {
261 "cnr_id": "comfy-core",
262 "ver": "0.3.68",
263 "Node name for S&R": "CLIPVisionEncode"
264 },
265 "widgets_values": [
266 "center"
267 ]
268 },
269 {
270 "id": 113,
271 "type": "HunyuanVideo15SuperResolution",
272 "pos": [
273 -570,
274 2210
275 ],
276 "size": [
277 370,
278 170
279 ],
280 "flags": [],
281 "order": 36,
282 "mode": 4,
283 "inputs": [
284 {
285 "name": "positive",
286 "type": "CONDITIONING",
287 "link": 295
288 },
289 {
290 "name": "negative",
291 "type": "CONDITIONING",
292 "link": 296
293 },
294 {
295 "name": "latent",
296 "type": "LATENT",
297 "link": 280
298 },
299 {
300 "name": "vae",
301 "shape": 7,
302 "type": "VAE",
303 "link": 301
304 },
305 {
306 "name": "start_image",
307 "shape": 7,
308 "type": "IMAGE",
309 "link": 300
310 },
311 {
312 "name": "clip_vision_output",
313 "shape": 7,
314 "type": "CLIP_VISION_OUTPUT",
315 "link": 299
316 }
317 ],
318 "outputs": [
319 {
320 "name": "positive",
321 "type": "CONDITIONING",
322 "links": [
323 330
324 ]
325 },
326 {
327 "name": "negative",
328 "type": "CONDITIONING",
329 "links": [
330 331
331 ]
332 },
333 {
334 "name": "latent",
335 "type": "LATENT",
336 "links": [
337 327
338 ]
339 }
340 ],
341 "properties": {
342 "cnr_id": "comfy-core",
343 "ver": "0.3.70",
344 "Node name for S&R": "HunyuanVideo15SuperResolution"
345 },
346 "widgets_values": [
347 0.7
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349 },
350 {
351 "id": 93,
352 "type": "CLIPTextEncode",
353 "pos": [
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356 ],
357 "size": [
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359 200
360 ],
361 "flags": [],
362 "order": 19,
363 "mode": 0,
364 "inputs": [
365 {
366 "name": "clip",
367 "type": "CLIP",
368 "link": 240
369 }
370 ],
371 "outputs": [
372 {
373 "name": "CONDITIONING",
374 "type": "CONDITIONING",
375 "links": [
376 246,
377 296,
378 342
379 ]
380 }
381 ],
382 "title": "CLIP Text Encode (Negative Prompt)",
383 "properties": {
384 "cnr_id": "comfy-core",
385 "ver": "0.3.68",
386 "Node name for S&R": "CLIPTextEncode"
387 },
388 "widgets_values": [
389 ""
390 ],
391 "color": "#223",
392 "bgcolor": "#335"
393 },
394 {
395 "id": 114,
396 "type": "CreateVideo",
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413 },
414 {
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417 "type": "AUDIO",
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421 "outputs": [
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424 "type": "VIDEO",
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427 ]
428 }
429 ],
430 "properties": {
431 "cnr_id": "comfy-core",
432 "ver": "0.3.68",
433 "Node name for S&R": "CreateVideo"
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435 "widgets_values": [
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438 },
439 {
440 "id": 10,
441 "type": "VAELoader",
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446 "size": [
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448 60
449 ],
450 "flags": [],
451 "order": 4,
452 "mode": 0,
453 "inputs": [],
454 "outputs": [
455 {
456 "name": "VAE",
457 "type": "VAE",
458 "slot_index": 0,
459 "links": [
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461 224,
462 290,
463 301,
464 306,
465 307
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467 }
468 ],
469 "properties": {
470 "cnr_id": "comfy-core",
471 "ver": "0.3.68",
472 "Node name for S&R": "VAELoader",
473 "models": [
474 {
475 "name": "hunyuanvideo15_vae_fp16.safetensors",
476 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/vae/hunyuanvideo15_vae_fp16.safetensors",
477 "directory": "vae"
478 }
479 ]
480 },
481 "widgets_values": [
482 "hunyuanvideo15_vae_fp16.safetensors"
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484 },
485 {
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496 "flags": {
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498 },
499 "order": 5,
500 "mode": 0,
501 "inputs": [],
502 "outputs": [],
503 "title": "Model links",
504 "properties": [],
505 "widgets_values": [
506 "\n## Report issue\n\nIf you found any issues when running this workflow, [report template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\n\n## Model links\n\n- [Hugging Face:Comfy-Org/HunyuanVideo_1.5_repackaged](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged)\n- [Hugging Face:Comfy-Org/sigclip_vision_384](https://huggingface.co/Comfy-Org/sigclip_vision_384)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/HunyuanVideo_1.5_repackaged](https://modelscope.cn/models/Comfy-Org/HunyuanVideo_1.5_repackaged)\n- [ModelScope:Comfy-Org/sigclip_vision_384](https://modelscope.cn/models/Comfy-Org/sigclip_vision_384)\n\n[HunyuanVideo_1.5_repackaged](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/tree/main/split_files)\n\n**text_encoders**\n\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors) (8.74 GB)\n- [byt5_small_glyphxl_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/byt5_small_glyphxl_fp16.safetensors) (418.3 MB)\n\n**clip_vision**\n\n- [sigclip_vision_patch14_384.safetensors](https://huggingface.co/Comfy-Org/sigclip_vision_384/resolve/main/sigclip_vision_patch14_384.safetensors) (816.8 MB)\n\n**diffusion_models**\n\n- [hunyuanvideo1.5_720p_i2v_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_720p_i2v_fp16.safetensors) (15.51 GB)\n\n**vae**\n\n- [hunyuanvideo15_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/vae/hunyuanvideo15_vae_fp16.safetensors) (2.35 GB)\n\nModel Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 text_encoders/\n│ │ ├── qwen_2.5_vl_7b_fp8_scaled.safetensors\n│ │ └── byt5_small_glyphxl_fp16.safetensors\n│ ├── 📂 clip_vision/\n│ │ └── sigclip_vision_patch14_384.safetensors\n│ ├── 📂 diffusion_models/\n│ │ └── hunyuanvideo1.5_720p_i2v_fp16.safetensors\n│ └── 📂 vae/\n│ └── hunyuanvideo15_vae_fp16.safetensors\n```\n"
507 ],
508 "color": "#222",
509 "bgcolor": "#000"
510 },
511 {
512 "id": 78,
513 "type": "HunyuanVideo15ImageToVideo",
514 "pos": [
515 -160,
516 580
517 ],
518 "size": [
519 296.3169921875,
520 210
521 ],
522 "flags": [],
523 "order": 28,
524 "mode": 0,
525 "inputs": [
526 {
527 "name": "positive",
528 "type": "CONDITIONING",
529 "link": 222
530 },
531 {
532 "name": "negative",
533 "type": "CONDITIONING",
534 "link": 246
535 },
536 {
537 "name": "vae",
538 "type": "VAE",
539 "link": 224
540 },
541 {
542 "name": "start_image",
543 "shape": 7,
544 "type": "IMAGE",
545 "link": 218
546 },
547 {
548 "name": "clip_vision_output",
549 "shape": 7,
550 "type": "CLIP_VISION_OUTPUT",
551 "link": 217
552 }
553 ],
554 "outputs": [
555 {
556 "name": "positive",
557 "type": "CONDITIONING",
558 "links": [
559 318
560 ]
561 },
562 {
563 "name": "negative",
564 "type": "CONDITIONING",
565 "links": [
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567 ]
568 },
569 {
570 "name": "latent",
571 "type": "LATENT",
572 "links": [
573 315
574 ]
575 }
576 ],
577 "properties": {
578 "cnr_id": "comfy-core",
579 "ver": "0.3.68",
580 "Node name for S&R": "HunyuanVideo15ImageToVideo"
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582 "widgets_values": [
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588 },
589 {
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591 "type": "EasyCache",
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600 "flags": [],
601 "order": 20,
602 "mode": 4,
603 "inputs": [
604 {
605 "name": "model",
606 "type": "MODEL",
607 "link": 286
608 }
609 ],
610 "outputs": [
611 {
612 "name": "MODEL",
613 "type": "MODEL",
614 "links": [
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619 }
620 ],
621 "properties": {
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623 "ver": "0.3.68",
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625 },
626 "widgets_values": [
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633 {
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635 "type": "UNETLoader",
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644 "flags": [],
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647 "inputs": [],
648 "outputs": [
649 {
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656 }
657 ],
658 "properties": {
659 "cnr_id": "comfy-core",
660 "ver": "0.3.68",
661 "Node name for S&R": "UNETLoader",
662 "models": [
663 {
664 "name": "hunyuanvideo1.5_720p_i2v_fp16.safetensors",
665 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_720p_i2v_fp16.safetensors",
666 "directory": "diffusion_models"
667 }
668 ]
669 },
670 "widgets_values": [
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674 },
675 {
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684 90
685 ],
686 "flags": [],
687 "order": 7,
688 "mode": 0,
689 "inputs": [],
690 "outputs": [],
691 "properties": [],
692 "widgets_values": [
693 "EasyCache can speed up this workflow, but it will also sacrifice the video quality. If you need it, use Ctrl+B to enable."
694 ],
695 "color": "#222",
696 "bgcolor": "#000"
697 },
698 {
699 "id": 123,
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713 "outputs": [],
714 "properties": [],
715 "widgets_values": [
716 "If you don't have enough VRAM and encounter the OOM error, please try to set the `weight_dtype` to `fp8_e4n3fn`."
717 ],
718 "color": "#222",
719 "bgcolor": "#000"
720 },
721 {
722 "id": 122,
723 "type": "MarkdownNote",
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728 "size": [
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730 320
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732 "flags": [],
733 "order": 9,
734 "mode": 0,
735 "inputs": [],
736 "outputs": [],
737 "title": "Sampler settings",
738 "properties": [],
739 "widgets_values": [
740 "50 inference steps just take too long to get the final video, so by default we set the step to 20 steps. If you want a better quality, please try the original settings below\n\n## Original setting from Hunyuan team\n| Model | cfg | embedded_cfg | shift | inference step |\n|-----------------------|-----|-------------|-------|----------------|\n| 480p_t2v | 6 | None | 5 | 50 |\n| 480p_i2v | 6 | None | 5 | 50 |\n| 720p_t2v | 6 | None | 9 | 50 |\n| 720p_i2v | 6 | None | 7 | 50 |\n| 480p_t2v_distilled | 1 | None | 5 | 50 |\n| 480p_i2v_distilled | 1 | None | 5 | 50 |\n| 720p_t2v_distilled | 1 | None | 9 | 50 |\n| 720p_i2v_distilled | 1 | None | 7 | 50 |"
741 ],
742 "color": "#222",
743 "bgcolor": "#000"
744 },
745 {
746 "id": 44,
747 "type": "CLIPTextEncode",
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751 ],
752 "size": [
753 422.84503173828125,
754 164.31304931640625
755 ],
756 "flags": [],
757 "order": 18,
758 "mode": 0,
759 "inputs": [
760 {
761 "name": "clip",
762 "type": "CLIP",
763 "link": 205
764 }
765 ],
766 "outputs": [
767 {
768 "name": "CONDITIONING",
769 "type": "CONDITIONING",
770 "slot_index": 0,
771 "links": [
772 222,
773 295,
774 341
775 ]
776 }
777 ],
778 "title": "CLIP Text Encode (Positive Prompt)",
779 "properties": {
780 "cnr_id": "comfy-core",
781 "ver": "0.3.68",
782 "Node name for S&R": "CLIPTextEncode"
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