Add example ComfyUI workflow
Browse filesHello!
I worked to put together an example ComfyUI workflow that uses the JasperAI Flux Dev ControlNet Depth. I got very impressive results and wanted to share with the community.
Thanks,
AP
jasper-conrolnet-depth-comfy-workflow.json
ADDED
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1 |
+
{
|
2 |
+
"last_node_id": 75,
|
3 |
+
"last_link_id": 40,
|
4 |
+
"nodes": [
|
5 |
+
{
|
6 |
+
"id": 3,
|
7 |
+
"type": "KSampler",
|
8 |
+
"pos": {
|
9 |
+
"0": 1860,
|
10 |
+
"1": 130
|
11 |
+
},
|
12 |
+
"size": {
|
13 |
+
"0": 315,
|
14 |
+
"1": 262
|
15 |
+
},
|
16 |
+
"flags": {},
|
17 |
+
"order": 14,
|
18 |
+
"mode": 0,
|
19 |
+
"inputs": [
|
20 |
+
{
|
21 |
+
"name": "model",
|
22 |
+
"type": "MODEL",
|
23 |
+
"link": 21
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"name": "positive",
|
27 |
+
"type": "CONDITIONING",
|
28 |
+
"link": 22
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"name": "negative",
|
32 |
+
"type": "CONDITIONING",
|
33 |
+
"link": 23
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"name": "latent_image",
|
37 |
+
"type": "LATENT",
|
38 |
+
"link": 24
|
39 |
+
}
|
40 |
+
],
|
41 |
+
"outputs": [
|
42 |
+
{
|
43 |
+
"name": "LATENT",
|
44 |
+
"type": "LATENT",
|
45 |
+
"links": [
|
46 |
+
27
|
47 |
+
],
|
48 |
+
"shape": 3
|
49 |
+
}
|
50 |
+
],
|
51 |
+
"properties": {
|
52 |
+
"Node name for S&R": "KSampler"
|
53 |
+
},
|
54 |
+
"widgets_values": [
|
55 |
+
953999074754699,
|
56 |
+
"randomize",
|
57 |
+
28,
|
58 |
+
1,
|
59 |
+
"dpmpp_2m",
|
60 |
+
"sgm_uniform",
|
61 |
+
1
|
62 |
+
]
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"id": 8,
|
66 |
+
"type": "VAEDecode",
|
67 |
+
"pos": {
|
68 |
+
"0": 2275,
|
69 |
+
"1": 130
|
70 |
+
},
|
71 |
+
"size": {
|
72 |
+
"0": 210,
|
73 |
+
"1": 46
|
74 |
+
},
|
75 |
+
"flags": {},
|
76 |
+
"order": 15,
|
77 |
+
"mode": 0,
|
78 |
+
"inputs": [
|
79 |
+
{
|
80 |
+
"name": "samples",
|
81 |
+
"type": "LATENT",
|
82 |
+
"link": 27
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"name": "vae",
|
86 |
+
"type": "VAE",
|
87 |
+
"link": 28
|
88 |
+
}
|
89 |
+
],
|
90 |
+
"outputs": [
|
91 |
+
{
|
92 |
+
"name": "IMAGE",
|
93 |
+
"type": "IMAGE",
|
94 |
+
"links": [
|
95 |
+
29
|
96 |
+
],
|
97 |
+
"shape": 3
|
98 |
+
}
|
99 |
+
],
|
100 |
+
"properties": {
|
101 |
+
"Node name for S&R": "VAEDecode"
|
102 |
+
},
|
103 |
+
"widgets_values": []
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"id": 9,
|
107 |
+
"type": "SaveImage",
|
108 |
+
"pos": {
|
109 |
+
"0": 2585,
|
110 |
+
"1": 130
|
111 |
+
},
|
112 |
+
"size": {
|
113 |
+
"0": 315,
|
114 |
+
"1": 270
|
115 |
+
},
|
116 |
+
"flags": {},
|
117 |
+
"order": 16,
|
118 |
+
"mode": 0,
|
119 |
+
"inputs": [
|
120 |
+
{
|
121 |
+
"name": "images",
|
122 |
+
"type": "IMAGE",
|
123 |
+
"link": 29
|
124 |
+
}
|
125 |
+
],
|
126 |
+
"outputs": [],
|
127 |
+
"properties": {
|
128 |
+
"Node name for S&R": "SaveImage"
|
129 |
+
},
|
130 |
+
"widgets_values": [
|
131 |
+
"ComfyUI"
|
132 |
+
]
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"id": 10,
|
136 |
+
"type": "EmptySD3LatentImage",
|
137 |
+
"pos": {
|
138 |
+
"0": 527.5999755859375,
|
139 |
+
"1": 502
|
140 |
+
},
|
141 |
+
"size": {
|
142 |
+
"0": 315,
|
143 |
+
"1": 106
|
144 |
+
},
|
145 |
+
"flags": {},
|
146 |
+
"order": 9,
|
147 |
+
"mode": 0,
|
148 |
+
"inputs": [
|
149 |
+
{
|
150 |
+
"name": "width",
|
151 |
+
"type": "INT",
|
152 |
+
"link": 30,
|
153 |
+
"widget": {
|
154 |
+
"name": "width"
|
155 |
+
}
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"name": "height",
|
159 |
+
"type": "INT",
|
160 |
+
"link": 31,
|
161 |
+
"widget": {
|
162 |
+
"name": "height"
|
163 |
+
}
|
164 |
+
}
|
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