There are many excellent explanations of ComfyUI, including the official documentation.
However, I felt that there was surprisingly little information on points where beginners tend to stumble at first, so I am focusing on explaining those parts.
I think it will be a good place for veteran users to know how ComfyUI is evolving.
Introduces the installation and basic operation of ComfyUI.
Summarizes how to prepare images and data used for generation.
It covers image processing/conversion and how to handle many images at once.
The very simple mechanism of image generation AI is also explained here.
Explanation of basic workflows.
It is not much different from ComfyUI's template, but it has a more minimal and easy-to-understand structure.
Summarizes questions that are now taken for granted, such as "Why are there many 512px?" and "Seed value 1234 and 1235 are completely different things".
Also, errors and troubles likely to be encountered in ComfyUI are collected, and their causes and countermeasures are introduced.
This site provides JSON for almost all workflows introduced.
Stable_Diffusion_1.5.json
{
"id": "8b9f7796-0873-4025-be3c-0f997f67f866",
"revision": 0,
"last_node_id": 9,
"last_link_id": 9,
"nodes": [
{
"id": 7,
"type": "CLIPTextEncode",
"pos": [
413,
389
],
"size": [
425.27801513671875,
180.6060791015625
],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 5
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"slot_index": 0,
"links": [
6
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
"text, watermark"
]
},
{
"id": 6,
"type": "CLIPTextEncode",
"pos": [
415,
186
],
"size": [
422.84503173828125,
164.31304931640625
],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 3
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"slot_index": 0,
"links": [
4
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
"beautiful scenery nature glass bottle landscape, , purple galaxy bottle,"
]
},
{
"id": 5,
"type": "EmptyLatentImage",
"pos": [
473,
609
],
"size": [
315,
106
],
"flags": {},
"order": 0,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"slot_index": 0,
"links": [
2
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "EmptyLatentImage"
},
"widgets_values": [
512,
512,
1
]
},
{
"id": 8,
"type": "VAEDecode",
"pos": [
1209,
188
],
"size": [
210,
46
],
"flags": {},
"order": 5,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 7
},
{
"name": "vae",
"type": "VAE",
"link": 8
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"slot_index": 0,
"links": [
9
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "VAEDecode"
},
"widgets_values": []
},
{
"id": 9,
"type": "SaveImage",
"pos": [
1451,
189
],
"size": [
210,
270
],
"flags": {},
"order": 6,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 9
}
],
"outputs": [],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33"
},
"widgets_values": [
"ComfyUI"
]
},
{
"id": 4,
"type": "CheckpointLoaderSimple",
"pos": [
26,
474
],
"size": [
315,
98
],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"slot_index": 0,
"links": [
1
]
},
{
"name": "CLIP",
"type": "CLIP",
"slot_index": 1,
"links": [
3,
5
]
},
{
"name": "VAE",
"type": "VAE",
"slot_index": 2,
"links": [
8
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "CheckpointLoaderSimple"
},
"widgets_values": [
"📷-v1.x\\v1-5-pruned.safetensors"
]
},
{
"id": 3,
"type": "KSampler",
"pos": [
863,
186
],
"size": [
315,
262
],
"flags": {},
"order": 4,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 1
},
{
"name": "positive",
"type": "CONDITIONING",
"link": 4
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 6
},
{
"name": "latent_image",
"type": "LATENT",
"link": 2
}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"slot_index": 0,
"links": [
7
]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.33",
"Node name for S&R": "KSampler"
},
"widgets_values": [
1234,
"fixed",
20,
8,
"euler",
"normal",
1
]
}
],
"links": [
[
1,
4,
0,
3,
0,
"MODEL"
],
[
2,
5,
0,
3,
3,
"LATENT"
],
[
3,
4,
1,
6,
0,
"CLIP"
],
[
4,
6,
0,
3,
1,
"CONDITIONING"
],
[
5,
4,
1,
7,
0,
"CLIP"
],
[
6,
7,
0,
3,
2,
"CONDITIONING"
],
[
7,
3,
0,
8,
0,
"LATENT"
],
[
8,
4,
2,
8,
1,
"VAE"
],
[
9,
8,
0,
9,
0,
"IMAGE"
]
],
"groups": [],
"config": {},
"extra": {
"ds": {
"scale": 0.7694864048338369,
"offset": [
214.34844915586953,
127.86277974087162
]
},
"frontendVersion": "1.30.6",
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
"VHS_KeepIntermediate": true
},
"version": 0.4
}
Creating an image referencing multiple characters while maintaining consistency. This has not yet been achieved.
Making a 1-minute video. It cannot be done.
When AI cannot do what you want to do, you may think there must be some solution, but in most cases, the progress of AI has not yet reached the point of satisfying your wishes.
Don't rush, let's enjoy the immature AI. Only now can we do that.
An assistant (?) confused by grabbing a ComfyUI node resides in the lower right of the screen 😏 Please hover your mouse over it.
Please feel free to send reports of typos, corrections of content, requests for themes you want explained, etc.
