工作流 /
视频 /
工作流 图像 转 视频（Video）
工作流 图像 转 视频（Video）
workflow image to video
ComfyUI 官方示例：Video 功能演示，可拖进 ComfyUI 直接使用。
视频
7 个节点 Comfy-Org 7 KB
需要的权重
这个工作流引用了 1 个权重文件，其中 1 个能在本站模型库里找到。
svd.safetensors
在模型库查看
节点构成
VideoLinearCFGGuidance
× 1
KSampler
× 1
VAEDecode
× 1
SaveAnimatedWEBP
× 1
ImageOnlyCheckpointLoader
× 1
SVD_img2vid_Conditioning
× 1
LoadImage
× 1
官方标注的模型
svd.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
1{
2 "last_node_id": 23,
3 "last_link_id": 41,
4 "nodes": [
5 {
6 "id": 14,
7 "type": "VideoLinearCFGGuidance",
8 "pos": [
9 487.799932861328,
10 265.6999450683599
11 ],
12 "size": [
13 315,
14 58
15 ],
16 "flags": [],
17 "order": 2,
18 "mode": 0,
19 "inputs": [
20 {
21 "name": "model",
22 "type": "MODEL",
23 "link": 23
24 }
25 ],
26 "outputs": [
27 {
28 "name": "MODEL",
29 "type": "MODEL",
30 "links": [
31 39
32 ],
33 "shape": 3,
34 "slot_index": 0
35 }
36 ],
37 "properties": {
38 "Node name for S&R": "VideoLinearCFGGuidance"
39 },
40 "widgets_values": [
41 1
42 ]
43 },
44 {
45 "id": 3,
46 "type": "KSampler",
47 "pos": [
48 867.7999328613287,
49 375.6999450683598
50 ],
51 "size": [
52 315,
53 262
54 ],
55 "flags": [],
56 "order": 4,
57 "mode": 0,
58 "inputs": [
59 {
60 "name": "model",
61 "type": "MODEL",
62 "link": 39
63 },
64 {
65 "name": "positive",
66 "type": "CONDITIONING",
67 "link": 40
68 },
69 {
70 "name": "negative",
71 "type": "CONDITIONING",
72 "link": 17
73 },
74 {
75 "name": "latent_image",
76 "type": "LATENT",
77 "link": 18
78 }
79 ],
80 "outputs": [
81 {
82 "name": "LATENT",
83 "type": "LATENT",
84 "links": [
85 7
86 ],
87 "slot_index": 0
88 }
89 ],
90 "properties": {
91 "Node name for S&R": "KSampler"
92 },
93 "widgets_values": [
94 237514639057514,
95 "randomize",
96 20,
97 2.5,
98 "euler",
99 "karras",
100 1
101 ]
102 },
103 {
104 "id": 8,
105 "type": "VAEDecode",
106 "pos": [
107 1207.799932861331,
108 375.6999450683598
109 ],
110 "size": [
111 210,
112 46
113 ],
114 "flags": [],
115 "order": 5,
116 "mode": 0,
117 "inputs": [
118 {
119 "name": "samples",
120 "type": "LATENT",
121 "link": 7
122 },
123 {
124 "name": "vae",
125 "type": "VAE",
126 "link": 26
127 }
128 ],
129 "outputs": [
130 {
131 "name": "IMAGE",
132 "type": "IMAGE",
133 "links": [
134 10
135 ],
136 "slot_index": 0
137 }
138 ],
139 "properties": {
140 "Node name for S&R": "VAEDecode"
141 }
142 },
143 {
144 "id": 10,
145 "type": "SaveAnimatedWEBP",
146 "pos": [
147 1459,
148 376
149 ],
150 "size": [
151 741.6685791015625,
152 564.5909423828125
153 ],
154 "flags": [],
155 "order": 6,
156 "mode": 0,
157 "inputs": [
158 {
159 "name": "images",
160 "type": "IMAGE",
161 "link": 10
162 }
163 ],
164 "properties": {
165 "Node name for S&R": "SaveAnimatedWEBP"
166 },
167 "widgets_values": [
168 "ComfyUI",
169 10,
170 false,
171 85,
172 "default"
173 ]
174 },
175 {
176 "id": 15,
177 "type": "ImageOnlyCheckpointLoader",
178 "pos": [
179 55,
180 267
181 ],
182 "size": [
183 369.6000061035156,
184 98
185 ],
186 "flags": [],
187 "order": 0,
188 "mode": 0,
189 "outputs": [
190 {
191 "name": "MODEL",
192 "type": "MODEL",
193 "links": [
194 23
195 ],
196 "shape": 3,
197 "slot_index": 0
198 },
199 {
200 "name": "CLIP_VISION",
201 "type": "CLIP_VISION",
202 "links": [
203 24
204 ],
205 "shape": 3,
206 "slot_index": 1
207 },
208 {
209 "name": "VAE",
210 "type": "VAE",
211 "links": [
212 25,
213 26
214 ],
215 "shape": 3,
216 "slot_index": 2
217 }
218 ],
219 "properties": {
220 "Node name for S&R": "ImageOnlyCheckpointLoader"
221 },
222 "widgets_values": [
223 "svd.safetensors"
224 ]
225 },
226 {
227 "id": 12,
228 "type": "SVD_img2vid_Conditioning",
229 "pos": [
230 487.799932861328,
231 395.6999450683598
232 ],
233 "size": [
234 315,
235 218
236 ],
237 "flags": [],
238 "order": 3,
239 "mode": 0,
240 "inputs": [
241 {
242 "name": "clip_vision",
243 "type": "CLIP_VISION",
244 "link": 24
245 },
246 {
247 "name": "init_image",
248 "type": "IMAGE",
249 "link": 41,
250 "slot_index": 1
251 },
252 {
253 "name": "vae",
254 "type": "VAE",
255 "link": 25
256 }
257 ],
258 "outputs": [
259 {
260 "name": "positive",
261 "type": "CONDITIONING",
262 "links": [
263 40
264 ],
265 "shape": 3,
266 "slot_index": 0
267 },
268 {
269 "name": "negative",
270 "type": "CONDITIONING",
271 "links": [
272 17
273 ],
274 "shape": 3,
275 "slot_index": 1
276 },
277 {
278 "name": "latent",
279 "type": "LATENT",
280 "links": [
281 18
282 ],
283 "shape": 3,
284 "slot_index": 2
285 }
286 ],
287 "properties": {
288 "Node name for S&R": "SVD_img2vid_Conditioning"
289 },
290 "widgets_values": [
291 1024,
292 576,
293 14,
294 127,
295 6,
296 0
297 ]
298 },
299 {
300 "id": 23,
301 "type": "LoadImage",
302 "pos": [
303 106,
304 441
305 ],
306 "size": [
307 315,
308 314.0000305175781
309 ],
310 "flags": [],
311 "order": 1,
312 "mode": 0,
313 "outputs": [
314 {
315 "name": "IMAGE",
316 "type": "IMAGE",
317 "links": [
318 41
319 ],
320 "shape": 3
321 },
322 {
323 "name": "MASK",
324 "type": "MASK",
325 "links": null,
326 "shape": 3
327 }
328 ],
329 "properties": {
330 "Node name for S&R": "LoadImage"
331 },
332 "widgets_values": [
333 "mountains.png",
334 "image"
335 ]
336 }
337 ],
338 "links": [
339 [
340 7,
341 3,
342 0,
343 8,
344 0,
345 "LATENT"
346 ],
347 [
348 10,
349 8,
350 0,
351 10,
352 0,
353 "IMAGE"
354 ],
355 [
356 17,
357 12,
358 1,
359 3,
360 2,
361 "CONDITIONING"
362 ],
363 [
364 18,
365 12,
366 2,
367 3,
368 3,
369 "LATENT"
370 ],
371 [
372 23,
373 15,
374 0,
375 14,
376 0,
377 "MODEL"
378 ],
379 [
380 24,
381 15,
382 1,
383 12,
384 0,
385 "CLIP_VISION"
386 ],
387 [
388 25,
389 15,
390 2,
391 12,
392 2,
393 "VAE"
394 ],
395 [
396 26,
397 15,
398 2,
399 8,
400 1,
401 "VAE"
402 ],
403 [
404 39,
405 14,
406 0,
407 3,
408 0,
409 "MODEL"
410 ],
411 [
412 40,
413 12,
414 0,
415 3,
416 1,
417 "CONDITIONING"
418 ],
419 [
420 41,
421 23,
422 0,
423 12,
424 1,
425 "IMAGE"
426 ]
427 ],
428 "groups": [
429 {
430 "title": "Image to Video",
431 "bounding": [
432 478,
433 192,
434 954,
435 478
436 ],
437 "color": "#8A8",
438 "font_size": 24
439 }
440 ],
441 "config": [],
442 "extra": [],
443 "version": 0.4
444}