工作流 /
视频 /
混元视频 1.5 文生视频
混元视频 1.5 文生视频
Hunyuan Video 1.5 Text to Video
根据文本提示生成高质量 720p 视频，支持电影级镜头控制、情感表达与物理仿真。支持多种风格，包括写实、动漫和 3D 文字渲染。
视频
42 个节点 19 次使用 ComfyUI ≥ 0.3.71 ComfyUI 41 KB
需要的权重
这个工作流引用了 6 个权重文件，其中 6 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_t2v_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
节点构成
Note
× 4
CFGGuider
× 3
SamplerCustomAdvanced
× 3
UNETLoader
× 2
VAEDecode
× 2
EasyCache
× 2
MarkdownNote
× 2
CLIPTextEncode
× 2
VAEDecodeTiled
× 2
CreateVideo
× 2
BasicScheduler
× 2
RandomNoise
× 2
KSamplerSelect
× 2
ModelSamplingSD3
× 2
SaveVideo
× 2
DualCLIPLoader
× 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{
2 "id": "ecc20583-98c5-4707-83f4-631b49a2bf0b",
3 "revision": 0,
4 "last_node_id": 143,
5 "last_link_id": 346,
6 "nodes": [
7 {
8 "id": 11,
9 "type": "DualCLIPLoader",
10 "pos": [
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12 180
13 ],
14 "size": [
15 350,
16 130
17 ],
18 "flags": [],
19 "order": 0,
20 "mode": 0,
21 "inputs": [],
22 "outputs": [
23 {
24 "name": "CLIP",
25 "type": "CLIP",
26 "slot_index": 0,
27 "links": [
28 205,
29 240
30 ]
31 }
32 ],
33 "properties": {
34 "cnr_id": "comfy-core",
35 "ver": "0.3.68",
36 "Node name for S&R": "DualCLIPLoader",
37 "models": [
38 {
39 "name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",
40 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors",
41 "directory": "text_encoders"
42 },
43 {
44 "name": "byt5_small_glyphxl_fp16.safetensors",
45 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/byt5_small_glyphxl_fp16.safetensors",
46 "directory": "text_encoders"
47 }
48 ]
49 },
50 "widgets_values": [
51 "qwen_2.5_vl_7b_fp8_scaled.safetensors",
52 "byt5_small_glyphxl_fp16.safetensors",
53 "hunyuan_video_15",
54 "default"
55 ]
56 },
57 {
58 "id": 111,
59 "type": "UNETLoader",
60 "pos": [
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62 1330
63 ],
64 "size": [
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67 ],
68 "flags": [],
69 "order": 1,
70 "mode": 4,
71 "inputs": [],
72 "outputs": [
73 {
74 "name": "MODEL",
75 "type": "MODEL",
76 "slot_index": 0,
77 "links": [
78 286
79 ]
80 }
81 ],
82 "properties": {
83 "cnr_id": "comfy-core",
84 "ver": "0.3.68",
85 "Node name for S&R": "UNETLoader",
86 "models": [
87 {
88 "name": "hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors",
89 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors",
90 "directory": "diffusion_models"
91 }
92 ]
93 },
94 "widgets_values": [
95 "hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors",
96 "default"
97 ]
98 },
99 {
100 "id": 10,
101 "type": "VAELoader",
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105 ],
106 "size": [
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108 60
109 ],
110 "flags": [],
111 "order": 2,
112 "mode": 0,
113 "inputs": [],
114 "outputs": [
115 {
116 "name": "VAE",
117 "type": "VAE",
118 "slot_index": 0,
119 "links": [
120 206,
121 290,
122 306,
123 307
124 ]
125 }
126 ],
127 "properties": {
128 "cnr_id": "comfy-core",
129 "ver": "0.3.68",
130 "Node name for S&R": "VAELoader",
131 "models": [
132 {
133 "name": "hunyuanvideo15_vae_fp16.safetensors",
134 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/vae/hunyuanvideo15_vae_fp16.safetensors",
135 "directory": "vae"
136 }
137 ]
138 },
139 "widgets_values": [
140 "hunyuanvideo15_vae_fp16.safetensors"
141 ]
142 },
143 {
144 "id": 8,
145 "type": "VAEDecode",
146 "pos": [
147 640,
148 -230
149 ],
150 "size": [
151 210,
152 46
153 ],
154 "flags": [],
155 "order": 29,
156 "mode": 0,
157 "inputs": [
158 {
159 "name": "samples",
160 "type": "LATENT",
161 "link": 323
162 },
163 {
164 "name": "vae",
165 "type": "VAE",
166 "link": 206
167 }
168 ],
169 "outputs": [
170 {
171 "name": "IMAGE",
172 "type": "IMAGE",
173 "slot_index": 0,
174 "links": [
175 308
176 ]
177 }
178 ],
179 "properties": {
180 "cnr_id": "comfy-core",
181 "ver": "0.3.68",
182 "Node name for S&R": "VAEDecode"
183 },
184 "widgets_values": []
185 },
186 {
187 "id": 105,
188 "type": "EasyCache",
189 "pos": [
190 240,
191 30
192 ],
193 "size": [
194 360,
195 130
196 ],
197 "flags": [],
198 "order": 20,
199 "mode": 4,
200 "inputs": [
201 {
202 "name": "model",
203 "type": "MODEL",
204 "link": 270
205 }
206 ],
207 "outputs": [
208 {
209 "name": "MODEL",
210 "type": "MODEL",
211 "links": [
212 319,
213 320
214 ]
215 }
216 ],
217 "properties": {
218 "cnr_id": "comfy-core",
219 "ver": "0.3.68",
220 "Node name for S&R": "EasyCache"
221 },
222 "widgets_values": [
223 0.2,
224 0.15,
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226 false
227 ]
228 },
229 {
230 "id": 122,
231 "type": "MarkdownNote",
232 "pos": [
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235 ],
236 "size": [
237 370,
238 320
239 ],
240 "flags": [],
241 "order": 3,
242 "mode": 0,
243 "inputs": [],
244 "outputs": [],
245 "title": "Sampler settings",
246 "properties": [],
247 "widgets_values": [
248 "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 |"
249 ],
250 "color": "#222",
251 "bgcolor": "#000"
252 },
253 {
254 "id": 113,
255 "type": "HunyuanVideo15SuperResolution",
256 "pos": [
257 -570,
258 1990
259 ],
260 "size": [
261 370,
262 170
263 ],
264 "flags": [],
265 "order": 33,
266 "mode": 4,
267 "inputs": [
268 {
269 "name": "positive",
270 "type": "CONDITIONING",
271 "link": 295
272 },
273 {
274 "name": "negative",
275 "type": "CONDITIONING",
276 "link": 296
277 },
278 {
279 "name": "latent",
280 "type": "LATENT",
281 "link": 280
282 },
283 {
284 "name": "vae",
285 "shape": 7,
286 "type": "VAE",
287 "link": null
288 },
289 {
290 "name": "start_image",
291 "shape": 7,
292 "type": "IMAGE",
293 "link": null
294 },
295 {
296 "name": "clip_vision_output",
297 "shape": 7,
298 "type": "CLIP_VISION_OUTPUT",
299 "link": null
300 }
301 ],
302 "outputs": [
303 {
304 "name": "positive",
305 "type": "CONDITIONING",
306 "links": [
307 333
308 ]
309 },
310 {
311 "name": "negative",
312 "type": "CONDITIONING",
313 "links": [
314 334
315 ]
316 },
317 {
318 "name": "latent",
319 "type": "LATENT",
320 "links": [
321 330
322 ]
323 }
324 ],
325 "properties": {
326 "cnr_id": "comfy-core",
327 "ver": "0.3.70",
328 "Node name for S&R": "HunyuanVideo15SuperResolution"
329 },
330 "widgets_values": [
331 0.7
332 ]
333 },
334 {
335 "id": 44,
336 "type": "CLIPTextEncode",
337 "pos": [
338 -220,
339 50
340 ],
341 "size": [
342 422.84503173828125,
343 164.31304931640625
344 ],
345 "flags": [],
346 "order": 17,
347 "mode": 0,
348 "inputs": [
349 {
350 "name": "clip",
351 "type": "CLIP",
352 "link": 205
353 }
354 ],
355 "outputs": [
356 {
357 "name": "CONDITIONING",
358 "type": "CONDITIONING",
359 "slot_index": 0,
360 "links": [
361 295,
362 321,
363 344
364 ]
365 }
366 ],
367 "title": "CLIP Text Encode (Positive Prompt)",
368 "properties": {
369 "cnr_id": "comfy-core",
370 "ver": "0.3.68",
371 "Node name for S&R": "CLIPTextEncode"
372 },
373 "widgets_values": [
374 "A paper airplane released from the top of a skyscraper, gliding through urban canyons, crossing traffic, flying over streets, spiraling upward between buildings. The camera follows the paper airplane's perspective, shooting cityscape in first-person POV, finally flying toward the sunset, disappearing in golden light. Creative camera movement, free perspective, dreamlike colors."
375 ],
376 "color": "#232",
377 "bgcolor": "#353"
378 },
379 {
380 "id": 125,
381 "type": "Note",
382 "pos": [
383 -630,
384 -130
385 ],
386 "size": [
387 360,
388 90
389 ],
390 "flags": [],
391 "order": 4,
392 "mode": 0,
393 "inputs": [],
394 "outputs": [],
395 "properties": [],
396 "widgets_values": [
397 "If you don't have enough VRAM and encounter the OOM error, please try to set the `weight_dtype` to `fp8_e4n3fn`."
398 ],
399 "color": "#222",
400 "bgcolor": "#000"
401 },
402 {
403 "id": 12,
404 "type": "UNETLoader",
405 "pos": [
406 -620,
407 50
408 ],
409 "size": [
410 350,
411 82
412 ],
413 "flags": [],
414 "order": 5,
415 "mode": 0,
416 "inputs": [],
417 "outputs": [
418 {
419 "name": "MODEL",
420 "type": "MODEL",
421 "slot_index": 0,
422 "links": [
423 270
424 ]
425 }
426 ],
427 "properties": {
428 "cnr_id": "comfy-core",
429 "ver": "0.3.68",
430 "Node name for S&R": "UNETLoader",
431 "models": [
432 {
433 "name": "hunyuanvideo1.5_720p_t2v_fp16.safetensors",
434 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_720p_t2v_fp16.safetensors",
435 "directory": "diffusion_models"
436 }
437 ]
438 },
439 "widgets_values": [
440 "hunyuanvideo1.5_720p_t2v_fp16.safetensors",
441 "default"
442 ]
443 },
444 {
445 "id": 104,
446 "type": "MarkdownNote",
447 "pos": [
448 -1220,
449 10
450 ],
451 "size": [
452 560,
453 520
454 ],
455 "flags": {
456 "collapsed": false
457 },
458 "order": 6,
459 "mode": 0,
460 "inputs": [],
461 "outputs": [],
462 "title": "Model links",
463 "properties": [],
464 "widgets_values": [
465 "\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## Model links\n\n- [Hugging Face:Comfy-Org/HunyuanVideo_1.5_repackaged](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged)\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\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**diffusion_models**\n\n- [hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors) (15.52 GB)\n- [hunyuanvideo1.5_720p_t2v_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_720p_t2v_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│ ├── 📂 diffusion_models/\n│ │ ├── hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors\n│ │ └── hunyuanvideo1.5_720p_t2v_fp16.safetensors\n│ └── 📂 vae/\n│ └── hunyuanvideo15_vae_fp16.safetensors\n```"
466 ],
467 "color": "#222",
468 "bgcolor": "#000"
469 },
470 {
471 "id": 108,
472 "type": "LatentUpscaleModelLoader",
473 "pos": [
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475 1460
476 ],
477 "size": [
478 470,
479 70
480 ],
481 "flags": [],
482 "order": 7,
483 "mode": 4,
484 "inputs": [],
485 "outputs": [
486 {
487 "name": "LATENT_UPSCALE_MODEL",
488 "type": "LATENT_UPSCALE_MODEL",
489 "links": [
490 274
491 ]
492 }
493 ],
494 "properties": {
495 "cnr_id": "comfy-core",
496 "ver": "0.3.70",
497 "Node name for S&R": "LatentUpscaleModelLoader",
498 "models": [
499 {
500 "name": "hunyuanvideo15_latent_upsampler_1080p.safetensors",
501 "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/latent_upscale_models/hunyuanvideo15_latent_upsampler_1080p.safetensors",
502 "directory": "latent_upscale_models"
503 }
504 ]
505 },
506 "widgets_values": [
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509 },
510 {
511 "id": 116,
512 "type": "EasyCache",
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516 ],
517 "size": [
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519 130
520 ],
521 "flags": [],
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523 "mode": 4,
524 "inputs": [
525 {
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529 }
530 ],
531 "outputs": [
532 {
533 "name": "MODEL",
534 "type": "MODEL",
535 "links": [
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537 332,
538 343
539 ]
540 }
541 ],
542 "properties": {
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554 {
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567 "mode": 0,
568 "inputs": [
569 {
570 "name": "clip",
571 "type": "CLIP",
572 "link": 240
573 }
574 ],
575 "outputs": [
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578 "type": "CONDITIONING",
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585 ],
586 "title": "CLIP Text Encode (Negative Prompt)",
587 "properties": {
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589 "ver": "0.3.68",
590 "Node name for S&R": "CLIPTextEncode"
591 },
592 "widgets_values": [
593 ""
594 ],
595 "color": "#223",
596 "bgcolor": "#335"
597 },
598 {
599 "id": 120,
600 "type": "VAEDecodeTiled",
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605 "size": [
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607 150
608 ],
609 "flags": [],
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611 "mode": 4,
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617 },
618 {
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622 }
623 ],
624 "outputs": [
625 {
626 "name": "IMAGE",
627 "type": "IMAGE",
628 "links": []
629 }
630 ],
631 "properties": {
632 "cnr_id": "comfy-core",
633 "ver": "0.3.70",
634 "Node name for S&R": "VAEDecodeTiled"
635 },
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643 {
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654 "flags": [],
655 "order": 8,
656 "mode": 0,
657 "inputs": [],
658 "outputs": [],
659 "properties": [],
660 "widgets_values": [
661 "EasyCache can speed up this workflow, but it will also sacrifice the video quality. If you need it, use Ctrl+B to enable."
662 ],
663 "color": "#222",
664 "bgcolor": "#000"
665 },
666 {
667 "id": 114,
668 "type": "CreateVideo",
669 "pos": [
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671 1320
672 ],
673 "size": [
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675 80
676 ],
677 "flags": [],
678 "order": 40,
679 "mode": 4,
680 "inputs": [
681 {
682 "name": "images",
683 "type": "IMAGE",
684 "link": 312
685 },
686 {
687 "name": "audio",
688 "shape": 7,
689 "type": "AUDIO",
690 "link": null
691 }
692 ],
693 "outputs": [
694 {
695 "name": "VIDEO",
696 "type": "VIDEO",
697 "links": [
698 292
699 ]
700 }
701 ],
702 "properties": {
703 "cnr_id": "comfy-core",
704 "ver": "0.3.68",
705 "Node name for S&R": "CreateVideo"
706 },
707 "widgets_values": [
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709 ]
710 },
711 {
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724 "mode": 4,
725 "inputs": [
726 {
727 "name": "samples",
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729 "link": 339
730 },
731 {
732 "name": "vae",
733 "type": "VAE",
734 "link": 290
735 }
736 ],
737 "outputs": [
738 {
739 "name": "IMAGE",
740 "type": "IMAGE",
741 "links": [
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743 ]
744 }
745 ],
746 "properties": {
747 "cnr_id": "comfy-core",
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749 "Node name for S&R": "VAEDecode"
750 },
751 "widgets_values": []
752 },
753 {
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763 ],
764 "flags": [],
765 "order": 9,
766 "mode": 0,
767 "inputs": [],
768 "outputs": [],
769 "properties": [],
770 "widgets_values": [
771 "Use the VAE Decode (Tiled) if it takes too long to get the final video."
772 ],
773 "color": "#222",
774 "bgcolor": "#000"
775 },
776 {
777 "id": 128,
778 "type": "BasicScheduler",
779 "pos": [
780 250,
781 480
782 ],
783 "size": [
784 315,
785 106
786 ],
787 "flags": [],
788 "order": 24,
789 "mode": 0,
790 "inputs": [
791 {
792 "name": "model",
793 "type": "MODEL",
794 "link": 319
795 }
796 ],
797 "outputs": [
798 {
799 "name": "SIGMAS",
800 "type": "SIGMAS",
801 "links": [
802 316
803 ]
804 }
805 ],
806 "properties": {
807 "cnr_id": "comfy-core",
808 "ver": "0.3.68",
809 "Node name for S&R": "BasicScheduler"
810 },
811 "widgets_values": [
812 "simple",
813 20,
814 1
815 ]
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