Example ComfyUI Workflow
#23
by zencrab - opened
Below is the workflow I use for this model:
The easiest way to use this workflow is to drag the following image into ComfyUI:
Workflow JSON:
{
"id": "54bb395d-3e60-4c94-b525-85523901575b",
"revision": 0,
"last_node_id": 481,
"last_link_id": 699,
"nodes": [
{
"id": 474,
"type": "CLIPLoader",
"pos": [
186.10583651303148,
2627.126421503619
],
"size": [
510,
120
],
"flags": {},
"order": 0,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "CLIP",
"type": "CLIP",
"links": [
693,
698
]
}
],
"properties": {
"Node name for S&R": "CLIPLoader",
"models": [
{
"name": "qwen3vl_8b_int8_convrot.safetensors",
"url": "https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/text_encoders/qwen3vl_8b_int8_convrot.safetensors",
"directory": "text_encoders"
}
]
},
"widgets_values": [
"qwen3vl_8b_int8_convrot.safetensors",
"qwen_image",
"cpu"
],
"widgets_values_named": {
"clip_name": "qwen3vl_8b_int8_convrot.safetensors",
"type": "qwen_image",
"device": "cpu"
}
},
{
"id": 470,
"type": "UnetLoaderGGUF",
"pos": [
186.10583651303148,
2467.126421503619
],
"size": [
510,
90
],
"flags": {},
"order": 1,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "MODEL",
"type": "MODEL",
"links": [
699
]
}
],
"properties": {
"Node name for S&R": "UNETLoader",
"models": [
{
"name": "qwen_image_2.1_Q8_0.gguf",
"url": "https://huggingface.co/AlperKTS/Qwen-Image-2.1-GGUF/resolve/main/qwen_image_2.1_Q8_0.gguf",
"directory": "diffusion_models"
}
]
},
"widgets_values": [
"qwen-image-2.1-UC-Q8_0.gguf"
],
"widgets_values_named": {
"unet_name": "qwen-image-2.1-UC-Q8_0.gguf"
}
},
{
"id": 471,
"type": "VAELoader",
"pos": [
187.06517920259986,
2828.5042488643962
],
"size": [
510,
70
],
"flags": {},
"order": 2,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "VAE",
"type": "VAE",
"links": [
692
]
}
],
"properties": {
"Node name for S&R": "VAELoader",
"models": [
{
"name": "qwen_image_2.1_vae_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/Qwen-Image-2.1/resolve/main/vae/qwen_image_2.1_vae_bf16.safetensors",
"directory": "vae"
}
]
},
"widgets_values": [
"qwen_image_2.1_vae_bf16 (1).safetensors"
],
"widgets_values_named": {
"vae_name": "qwen_image_2.1_vae_bf16 (1).safetensors"
}
},
{
"id": 481,
"type": "CLIPTextEncode",
"pos": [
776.4853993640685,
2740.2964034428906
],
"size": [
400,
200
],
"flags": {},
"order": 5,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 698
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [
697
]
}
],
"title": "Negative Prompt (optional)",
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
""
],
"widgets_values_named": {
"text": ""
}
},
{
"id": 472,
"type": "VAEDecode",
"pos": [
1292.4884654946557,
2835.033561719521
],
"size": [
230,
60
],
"flags": {},
"order": 7,
"mode": 0,
"inputs": [
{
"name": "samples",
"type": "LATENT",
"link": 685
},
{
"name": "vae",
"type": "VAE",
"link": 692
}
],
"outputs": [
{
"name": "IMAGE",
"type": "IMAGE",
"links": [
684
]
}
],
"properties": {
"Node name for S&R": "VAEDecode"
}
},
{
"id": 473,
"type": "KSampler",
"pos": [
1252.5069791277444,
2477.7898863568
],
"size": [
270,
270
],
"flags": {},
"order": 6,
"mode": 0,
"inputs": [
{
"name": "model",
"type": "MODEL",
"link": 699
},
{
"name": "positive",
"type": "CONDITIONING",
"link": 694
},
{
"name": "negative",
"type": "CONDITIONING",
"link": 697
},
{
"name": "latent_image",
"type": "LATENT",
"link": 696
}
],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"links": [
685
]
}
],
"properties": {
"Node name for S&R": "KSampler"
},
"widgets_values": [
70,
"fixed",
20,
1,
"euler",
"simple",
1
],
"widgets_values_named": {
"seed": 70,
"control_after_generate": "fixed",
"steps": 20,
"cfg": 1,
"sampler_name": "euler",
"scheduler": "simple",
"denoise": 1
}
},
{
"id": 480,
"type": "EmptyLatentImage",
"pos": [
905.8238919693116,
2306.476523865893
],
"size": [
270,
106
],
"flags": {},
"order": 3,
"mode": 0,
"inputs": [],
"outputs": [
{
"name": "LATENT",
"type": "LATENT",
"links": [
696
]
}
],
"properties": {
"Node name for S&R": "EmptyLatentImage"
},
"widgets_values": [
1024,
1024,
1
],
"widgets_values_named": {
"width": 1024,
"height": 1024,
"batch_size": 1
}
},
{
"id": 461,
"type": "SaveImageAdvanced",
"pos": [
1581.9652422441272,
2481.2671973315673
],
"size": [
1057.7258284994339,
723.8233631070475
],
"flags": {},
"order": 8,
"mode": 0,
"inputs": [
{
"name": "images",
"type": "IMAGE",
"link": 684
}
],
"outputs": [
{
"name": "images",
"type": "IMAGE",
"links": []
}
],
"properties": {},
"widgets_values": [
"Qwen_image_2.1",
"png",
"8-bit",
"sRGB"
],
"widgets_values_named": {
"filename_prefix": "Qwen_image_2.1",
"format": "png",
"format.bit_depth": "8-bit",
"format.input_color_space": "sRGB"
}
},
{
"id": 478,
"type": "CLIPTextEncode",
"pos": [
770.8955757184269,
2471.3208380219908
],
"size": [
400,
200
],
"flags": {},
"order": 4,
"mode": 0,
"inputs": [
{
"name": "clip",
"type": "CLIP",
"link": 693
}
],
"outputs": [
{
"name": "CONDITIONING",
"type": "CONDITIONING",
"links": [
694
]
}
],
"title": "Positive Prompt",
"properties": {
"Node name for S&R": "CLIPTextEncode"
},
"widgets_values": [
"Professional photo of Sam Altman wearing a baseball cap that says \"I love local AI\"."
],
"widgets_values_named": {
"text": "Professional photo of Sam Altman wearing a baseball cap that says \"I love local AI\"."
}
}
],
"links": [
[
684,
472,
0,
461,
0,
"IMAGE"
],
[
685,
473,
0,
472,
0,
"LATENT"
],
[
692,
471,
0,
472,
1,
"VAE"
],
[
693,
474,
0,
478,
0,
"CLIP"
],
[
694,
478,
0,
473,
1,
"CONDITIONING"
],
[
696,
480,
0,
473,
3,
"LATENT"
],
[
697,
481,
0,
473,
2,
"CONDITIONING"
],
[
698,
474,
0,
481,
0,
"CLIP"
],
[
699,
470,
0,
473,
0,
"MODEL"
]
],
"groups": [],
"config": {},
"extra": {
"ds": {
"scale": 0.43647798915135183,
"offset": [
358.358279387371,
-1749.1148116120557
]
},
"frontendVersion": "1.52.7",
"VHS_latentpreview": false,
"VHS_latentpreviewrate": 0,
"VHS_MetadataImage": true,
"VHS_KeepIntermediate": true
},
"version": 0.4
}
How bout this one?
