WebCam Capture
Video Lecture
| Section | Video Links |
|---|---|
| WebCam Capture |  |
Description
Using a webcam input in ComfyUI.
We need to generate frames quickly.
We can use an LCM (Latent Consistency Models) LoRA to speed up the image generation.
LCM is able to generate good results in just a few steps (often 2–8).
-
Download pytorch_lora_weights.safetensors,
-
Rename it to
LCM_LoRA_Weights_SD15.safetensors -
Save it into your
ComfyUI/models/lorasfo4lder and refresh the node definitions.
I used several SD1.5 based checkpoints in the video.
You can download these models and save them into your ComfyUI/models/checkpoints folder.
Workflow
Copy & paste this into ComfyUI.
{
"id": "cff11cd9-b703-43c9-9792-ab10fc85857d",
"revision": 0,
"last_node_id": 13,
"last_link_id": 18,
"nodes": [
{
"id": 3,
"type": "KSampler",
"pos": [1101.864013671875, 194.92025756835938],
"size": [315, 474],
"flags": {},
"order": 6,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 14
},
{
"name": "positive",
"type": "CONDITIONING",
"link": 4
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 6
},
{
"name": "latent_image",
"type": "LATENT",
"link": 11
}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"slot_index": 0,
"links": [7]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.52",
"Node name for S&R": "KSampler"
},
"widgets_values": [0, "fixed", 4, 1, "lcm", "sgm_uniform", 0.6]
},
{
"id": 7,
"type": "CLIPTextEncode",
"pos": [824.339599609375, 319.4147033691406],
"size": [242.61402893066406, 88],
"flags": {
"collapsed": true
},
"order": 5,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 17
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"slot_index": 0,
"links": [6]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.52",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": ["text, watermark"]
},
{
"id": 11,
"type": "VAEEncode",
"pos": [887.1593017578125, 381.49810791015625],
"size": [140, 46],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [
{
"name": "pixels",
"type": "IMAGE",
"link": 10
},
{
"name": "vae",
"type": "VAE",
"link": 12
}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"links": [11]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.52",
"Node name for S&R": "VAEEncode"
},
"widgets_values": []
},
{
"id": 6,
"type": "CLIPTextEncode",
"pos": [624.870849609375, 183.55262756347656],
"size": [406.62640380859375, 88],
"flags": {},
"order": 4,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 16
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"slot_index": 0,
"links": [4]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.52",
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": ["woman, librarian, with floral dress"]
},
{
"id": 12,
"type": "LoraLoader",
"pos": [268.7789306640625, 234.10455322265625],
"size": [270, 126],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 13
},
{
"name": "clip",
"type": "CLIP",
"link": 15
}
],
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [14]
},
{
"name": "CLIP",
"type": "CLIP",
"links": [16, 17]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.52",
"Node name for S&R": "LoraLoader"
},
"widgets_values": ["LCM_LoRA_Weights_SD15.safetensors", 1, 1]
},
{
"id": 10,
"type": "WebcamCapture",
"pos": [381.4731750488281, 486.6246032714844],
"size": [385.1535339355469, 408],
"flags": {},
"order": 0,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [10]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.52",
"Node name for S&R": "WebcamCapture"
},
"widgets_values": ["", 480, 360, true, "capture"]
},
{
"id": 4,
"type": "CheckpointLoaderSimple",
"pos": [-134.35279846191406, 320.03778076171875],
"size": [315, 98],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"slot_index": 0,
"links": [13]
},
{
"name": "CLIP",
"type": "CLIP",
"slot_index": 1,
"links": [15]
},
{
"name": "VAE",
"type": "VAE",
"slot_index": 2,
"links": [8, 12]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.52",
"Node name for S&R": "CheckpointLoaderSimple",
"models": [
{
"name": "v1-5-pruned-emaonly-fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/stable-diffusion-v1-5-archive/resolve/main/v1-5-pruned-emaonly-fp16.safetensors?download=true",
"directory": "checkpoints"
}
]
},
"widgets_values": ["欧美动漫ToonYou.safetensors"]
},
{
"id": 8,
"type": "VAEDecode",
"pos": [1501.5948486328125, 89.37715911865234],
"size": [210, 46],
"flags": {},
"order": 7,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 7
},
{
"name": "vae",
"type": "VAE",
"link": 8
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"slot_index": 0,
"links": [18]
}
],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.52",
"Node name for S&R": "VAEDecode"
},
"widgets_values": []
},
{
"id": 13,
"type": "PreviewImage",
"pos": [1508.1072998046875, 205.11289978027344],
"size": [140, 246],
"flags": {},
"order": 8,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 18
}
],
"outputs": [],
"properties": {
"cnr_id": "comfy-core",
"ver": "0.3.52",
"Node name for S&R": "PreviewImage"
},
"widgets_values": []
}
],
"links": [
[4, 6, 0, 3, 1, "CONDITIONING"],
[6, 7, 0, 3, 2, "CONDITIONING"],
[7, 3, 0, 8, 0, "LATENT"],
[8, 4, 2, 8, 1, "VAE"],
[10, 10, 0, 11, 0, "IMAGE"],
[11, 11, 0, 3, 3, "LATENT"],
[12, 4, 2, 11, 1, "VAE"],
[13, 4, 0, 12, 0, "MODEL"],
[14, 12, 0, 3, 0, "MODEL"],
[15, 4, 1, 12, 1, "CLIP"],
[16, 12, 1, 6, 0, "CLIP"],
[17, 12, 1, 7, 0, "CLIP"],
[18, 8, 0, 13, 0, "IMAGE"]
],
"groups": [],
"config": {},
"extra": {
"ds": {
"scale": 0.667069486404836,
"offset": [100.12038440498414, 60.52653107795555]
},
"frontendVersion": "1.25.10",
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
"VHS_KeepIntermediate": true
},
"version": 0.4
}