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Merge pull request #165 from jakechai/main

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v1.9.18
This commit is contained in:
Jake Chai
2025-06-16 23:05:51 +08:00
committed by GitHub
parent 6e528c23ab 484cfe8d9f
commit 0f2a9fcef0
10 changed files with 654 additions and 637 deletions
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README.md
+10 -9
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@@ -164,18 +164,16 @@ Please check the [video](https://youtu.be/eyjy10T201M).
2. Add Mesh MV sample generation module workflow using IG2MV, MV Adapter and Stable X Delight.
3. Add Multi-GPU version of Wan Video Generation workflows.
4. Add the Wan Vace 14B fp16 model to the model list instruction.
- 2025-06-02 - v1.9.16 1. Add Dilated ControlNet for Wan Video t2v workflows.
2. Add Canny & HED Control Video generation methods for Dilated ControlNet.
3. Add Save|Load StringListToJSON nodes to save|load ATI Trajectory presets.
4. Add ATI Trajectory generation method to Video-Auto Motion module.
5. Add Wan Video ATI Trajectory ff2vid workflow.
6. Use bf16 Wan Video VAE by default for all Wan Video generation workflows.
7. Add Multi-GPU version of Flux Image Generation workflow.
</details>
- 2025-06-02 - v1.9.16
1. Add Dilated ControlNet for Wan Video t2v workflows.
2. Add Canny & HED Control Video generation methods for Dilated ControlNet.
3. Add Save|Load StringListToJSON nodes to save|load ATI Trajectory presets.
4. Add ATI Trajectory generation method to Video-Auto Motion module.
5. Add Wan Video ATI Trajectory ff2vid workflow.
6. Use bf16 Wan Video VAE by default for all Wan Video generation workflows.
7. Add Multi-GPU version of Flux Image Generation workflow.
- 2025-06-15 - v1.9.17
1. Find a workaround to recreate all of my original Group Nodes for `comfyui-frontend-package>=1.16.0`. [All Grp Nodes-JK](https://github.com/jakechai/ComfyUI-JakeUpgrade/blob/master/Workflow/ComfyUI/All%20Grp%20Nodes-JK.json) | [All Grp Nodes-JK_~frontend-1.15.13](https://github.com/jakechai/ComfyUI-JakeUpgrade/blob/master/Workflow/ComfyUI_~frontend-1.15.13/All%20Grp%20Nodes-JK.json)
2. Seperate all workflows into two versions: `comfyui-frontend-package<=1.15.13` & `comfyui-frontend-package>=1.16.0`. Workflows for `comfyui-frontend-package<=1.15.13` are moved to the subfolder with a suffix name `~frontend-1.15.13`, such as `ComfyUI_~frontend-1.15.13` and `Krita_~frontend-1.15.13_v1.19.16`.
@@ -184,6 +182,9 @@ Please check the [video](https://youtu.be/eyjy10T201M).
5. Remove java script.
6. Re-write Lora | ControlNet | Embedding nodes without java script control.
- 2025-06-16 - v1.9.18
1. Fix Krita Upscale and Refine workflows.
## Installation
1. `git clone https://github.com/jakechai/ComfyUI-JakeUpgrade` into the `custom_nodes` folder
- e.g. `custom_nodes\ComfyUI-JakeUpgrade`
Workflow/Krita/Module/JK_module-Krita UpscaleRefine Flux.json
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Workflow/Krita/Module/JK_module-Krita UpscaleRefine SD15.json
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Workflow/Krita/Module/JK_module-Krita UpscaleRefine SD3.json
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Workflow/Krita/Module/JK_module-Krita UpscaleRefine SDXL.json
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pyproject.toml
+1 -1
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@@ -1,7 +1,7 @@
[project]
name = "comfyui-jakeupgrade"
description = "ComfyUI workflow customization by Jake."
version = "1.9.17"
version = "1.9.18"
license = {file = "LICENSE"}
dependencies = ["opencv-python", "piexif", "torch", "numpy", "numexpr", "simpleeval"]
replacement/krita/ai_diffusion/workflows/JK Module Krita UpscaleRefine Flux.json
+173 -169
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replacement/krita/ai_diffusion/workflows/JK Module Krita UpscaleRefine SD15.json
+150 -146
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@@ -40,16 +40,6 @@
}
},
"4": {
"inputs": {
"op": "Not",
"a": false
},
"class_type": "CM_BoolUnaryOperation JK",
"_meta": {
"title": "BoolUnaryOp JK\ud83d\udc09"
}
},
"5": {
"inputs": {
"width": 1024,
"height": 1024,
@@ -61,17 +51,17 @@
"title": "EmptyImage"
}
},
"6": {
"5": {
"inputs": {},
"class_type": "ETN_KritaSelection",
"_meta": {
"title": "Krita Selection"
}
},
"7": {
"6": {
"inputs": {
"mask": [
"6",
"5",
0
]
},
@@ -80,7 +70,7 @@
"title": "Is Mask Empty JK\ud83d\udc09"
}
},
"8": {
"7": {
"inputs": {
"text": "Upscale your canvas to target res.\nThen make select region for upscale.",
"font": "ShareTechMono-Regular.ttf",
@@ -96,7 +86,7 @@
"offset_y": 0,
"direction": "ltr",
"img_composite": [
"5",
"4",
0
]
},
@@ -105,7 +95,7 @@
"title": "\ud83d\udd27 Draw Text"
}
},
"9": {
"8": {
"inputs": {
"name": "02 target resolution",
"type": "number",
@@ -118,7 +108,7 @@
"title": "tar res"
}
},
"10": {
"9": {
"inputs": {
"name": "03 F:width | T:height",
"type": "toggle",
@@ -129,7 +119,7 @@
"title": "dir"
}
},
"11": {
"10": {
"inputs": {
"name": "04 use target mega pixel",
"type": "toggle",
@@ -140,7 +130,7 @@
"title": "use tar pixel"
}
},
"12": {
"11": {
"inputs": {
"name": "05 target mega pixel",
"type": "number",
@@ -153,20 +143,18 @@
"title": "tar get pixel"
}
},
"13": {
"12": {
"inputs": {
"name": "06 upscale method",
"type": "auto",
"default": 512,
"min": 0,
"max": 16384
"type": "choice",
"default": "lanczos"
},
"class_type": "ETN_Parameter",
"_meta": {
"title": "method"
}
},
"14": {
"13": {
"inputs": {
"name": "08 img2img layer"
},
@@ -175,7 +163,7 @@
"title": "Krita Image Layer"
}
},
"15": {
"14": {
"inputs": {
"name": "07 Krita img2img Layer",
"type": "toggle",
@@ -186,7 +174,7 @@
"title": "img layer"
}
},
"16": {
"15": {
"inputs": {
"name": "A01 Checkpoint-sd15",
"type": "choice",
@@ -197,7 +185,7 @@
"title": "checkpoint"
}
},
"17": {
"16": {
"inputs": {
"name": "A07 Vae-sd15",
"type": "choice",
@@ -208,7 +196,7 @@
"title": "vae"
}
},
"18": {
"17": {
"inputs": {
"name": "LA01 controlnet Tile-sd15",
"type": "choice",
@@ -219,10 +207,10 @@
"title": "controlnet 0"
}
},
"19": {
"18": {
"inputs": {
"ckpt_name": [
"16",
"15",
0
]
},
@@ -231,10 +219,10 @@
"title": "Load Checkpoint"
}
},
"20": {
"19": {
"inputs": {
"vae_name": [
"17",
"16",
0
]
},
@@ -243,12 +231,12 @@
"title": "Load VAE"
}
},
"21": {
"20": {
"inputs": {
"name": "LA09 controlnet strength Tile",
"type": "number",
"default": 1,
"min": 0,
"min": -10,
"max": 2
},
"class_type": "ETN_Parameter",
@@ -256,7 +244,7 @@
"title": "cn strength 0"
}
},
"22": {
"21": {
"inputs": {
"name": "LA10 start percent Tile",
"type": "number",
@@ -269,7 +257,7 @@
"title": "cn start 0"
}
},
"23": {
"22": {
"inputs": {
"name": "LA11 end percent Tile",
"type": "number",
@@ -282,7 +270,7 @@
"title": "cn end 0"
}
},
"24": {
"23": {
"inputs": {
"name": "LB01 controlnet 1",
"type": "choice",
@@ -293,12 +281,12 @@
"title": "controlnet 1"
}
},
"25": {
"24": {
"inputs": {
"name": "LB09 controlnet strength 1",
"type": "number",
"default": 1,
"min": 0,
"min": -10,
"max": 2
},
"class_type": "ETN_Parameter",
@@ -306,7 +294,7 @@
"title": "cn strength 1"
}
},
"26": {
"25": {
"inputs": {
"name": "LB10 start percent 1",
"type": "number",
@@ -319,7 +307,7 @@
"title": "cn start 1"
}
},
"27": {
"26": {
"inputs": {
"name": "LB11 end percent 1",
"type": "number",
@@ -332,7 +320,7 @@
"title": "cn end 1"
}
},
"28": {
"27": {
"inputs": {
"name": "LC01 controlnet 2",
"type": "choice",
@@ -343,12 +331,12 @@
"title": "controlnet 2"
}
},
"29": {
"28": {
"inputs": {
"name": "LC09 controlnet strength 2",
"type": "number",
"default": 1,
"min": 0,
"min": -10,
"max": 2
},
"class_type": "ETN_Parameter",
@@ -356,7 +344,7 @@
"title": "cn strength 2"
}
},
"30": {
"29": {
"inputs": {
"name": "LC10 start percent 2",
"type": "number",
@@ -369,7 +357,7 @@
"title": "cn start 2"
}
},
"31": {
"30": {
"inputs": {
"name": "LC11 end percent 2",
"type": "number",
@@ -382,7 +370,7 @@
"title": "cn end 2"
}
},
"32": {
"31": {
"inputs": {
"name": "B01 positive",
"type": "text",
@@ -393,7 +381,7 @@
"title": "pos l"
}
},
"33": {
"32": {
"inputs": {
"name": "B07 negative",
"type": "text",
@@ -404,7 +392,7 @@
"title": "neg l"
}
},
"34": {
"33": {
"inputs": {
"name": "C01 cfg",
"type": "number",
@@ -417,7 +405,7 @@
"title": "cfg"
}
},
"35": {
"34": {
"inputs": {
"name": "C02 sampler",
"type": "choice",
@@ -428,7 +416,7 @@
"title": "sampler"
}
},
"36": {
"35": {
"inputs": {
"name": "C03 scheduler",
"type": "choice",
@@ -439,7 +427,7 @@
"title": "scheduler"
}
},
"37": {
"36": {
"inputs": {
"name": "C04 steps",
"type": "number",
@@ -452,7 +440,7 @@
"title": "steps"
}
},
"38": {
"37": {
"inputs": {
"name": "C05 denoise",
"type": "number",
@@ -465,7 +453,7 @@
"title": "denoise"
}
},
"39": {
"38": {
"inputs": {
"name": "C06 Inject Noise",
"type": "toggle",
@@ -476,7 +464,7 @@
"title": "latent noise"
}
},
"40": {
"39": {
"inputs": {
"name": "C07 Inject Noise seed",
"type": "number",
@@ -489,12 +477,12 @@
"title": "latent noise seed"
}
},
"41": {
"40": {
"inputs": {
"name": "C09 Inject Noise strength",
"type": "number",
"default": 0.3,
"min": 0,
"min": -20,
"max": 5
},
"class_type": "ETN_Parameter",
@@ -502,7 +490,7 @@
"title": "latent noise str"
}
},
"42": {
"41": {
"inputs": {
"name": "D01 Detail Daemon",
"type": "toggle",
@@ -513,7 +501,7 @@
"title": "detail"
}
},
"43": {
"42": {
"inputs": {
"name": "D02 Detail amount",
"type": "number",
@@ -526,7 +514,7 @@
"title": "detail amount"
}
},
"44": {
"43": {
"inputs": {
"name": "D03 Detail start percent",
"type": "number",
@@ -539,7 +527,7 @@
"title": "detail start p"
}
},
"45": {
"44": {
"inputs": {
"name": "D04 Detail end percent",
"type": "number",
@@ -552,7 +540,7 @@
"title": "detail end p"
}
},
"46": {
"45": {
"inputs": {
"name": "E01 color match",
"type": "toggle",
@@ -563,7 +551,7 @@
"title": "color match"
}
},
"47": {
"46": {
"inputs": {
"name": "E02 color match method",
"type": "choice",
@@ -574,7 +562,7 @@
"title": "color match method"
}
},
"48": {
"47": {
"inputs": {
"name": "E03 color match strength",
"type": "number",
@@ -587,14 +575,14 @@
"title": "color match str"
}
},
"49": {
"48": {
"inputs": {},
"class_type": "Is Mask Empty JK",
"_meta": {
"title": "Is Mask Empty JK\ud83d\udc09"
}
},
"50": {
"49": {
"inputs": {
"string": ""
},
@@ -603,11 +591,11 @@
"title": "Grp End Dummy"
}
},
"51": {
"50": {
"inputs": {
"stop_at_clip_layer": -1,
"clip": [
"19",
"18",
1
]
},
@@ -616,7 +604,7 @@
"title": "CLIP Set Last Layer"
}
},
"52": {
"51": {
"inputs": {
"guidance": 3.5
},
@@ -625,10 +613,10 @@
"title": "Guidance Default JK\ud83d\udc09"
}
},
"53": {
"52": {
"inputs": {
"sampler_name": [
"35",
"34",
0
]
},
@@ -637,22 +625,22 @@
"title": "KSamplerSelect"
}
},
"54": {
"53": {
"inputs": {
"scheduler": [
"36",
"35",
0
],
"steps": [
"37",
"36",
0
],
"denoise": [
"38",
"37",
0
],
"model": [
"19",
"18",
0
]
},
@@ -661,7 +649,7 @@
"title": "BasicScheduler"
}
},
"55": {
"54": {
"inputs": {
"noise_seed": [
"1",
@@ -679,19 +667,19 @@
"title": "RandomNoise (inspire)"
}
},
"56": {
"55": {
"inputs": {
"detail_amount": [
"43",
"42",
0
],
"start": 0.2,
"end": [
"44",
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0
],
"bias": [
"45",
"44",
0
],
"exponent": 1,
@@ -701,7 +689,7 @@
"smooth": true,
"cfg_scale_override": 0,
"sampler": [
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"52",
0
]
},
@@ -710,14 +698,14 @@
"title": "Detail Daemon Sampler"
}
},
"57": {
"56": {
"inputs": {},
"class_type": "Remove Input JK",
"_meta": {
"title": "Remove Input JK\ud83d\udc09"
}
},
"58": {
"57": {
"inputs": {
"model_name": [
"0",
@@ -729,10 +717,23 @@
"title": "Load Upscale Model"
}
},
"58": {
"inputs": {
"control_net_name": [
"27",
0
],
"union_type": "None"
},
"class_type": "CR ControlNet Loader JK",
"_meta": {
"title": "ControlNet Loader JK\ud83d\udc09"
}
},
"59": {
"inputs": {
"control_net_name": [
"28",
"23",
0
],
"union_type": "None"
@@ -745,7 +746,7 @@
"60": {
"inputs": {
"control_net_name": [
"24",
"17",
0
],
"union_type": "None"
@@ -757,21 +758,21 @@
},
"61": {
"inputs": {
"control_net_name": [
"18",
"op": "Not",
"a": [
"6",
0
],
"union_type": "None"
]
},
"class_type": "CR ControlNet Loader JK",
"class_type": "CM_BoolUnaryOperation JK",
"_meta": {
"title": "ControlNet Loader JK\ud83d\udc09"
"title": "BoolUnaryOp JK\ud83d\udc09"
}
},
"62": {
"inputs": {
"boolean_value": [
"15",
"14",
0
],
"image_false": [
@@ -779,7 +780,7 @@
0
],
"image_true": [
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"13",
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},
@@ -820,7 +821,7 @@
"65": {
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"boolean_value": [
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"48",
0
],
"mask_true": [
@@ -915,11 +916,11 @@
"inputs": {
"boolean_value": false,
"clip_false": [
"19",
"18",
1
],
"clip_true": [
"51",
"50",
0
]
},
@@ -931,7 +932,7 @@
"70": {
"inputs": {
"text": [
"32",
"31",
0
],
"clip": [
@@ -947,7 +948,7 @@
"71": {
"inputs": {
"text": [
"33",
"32",
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],
"clip": [
@@ -976,15 +977,15 @@
"73": {
"inputs": {
"steps": [
"57",
"56",
0
],
"cfg": [
"34",
"33",
0
],
"denoise": [
"57",
"56",
0
]
},
@@ -996,15 +997,15 @@
"74": {
"inputs": {
"boolean_value": [
"42",
"41",
0
],
"sampler_false": [
"53",
"52",
0
],
"sampler_true": [
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"55",
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},
@@ -1016,7 +1017,7 @@
"75": {
"inputs": {
"guidance": [
"52",
"51",
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],
"conditioning": [
@@ -1032,7 +1033,7 @@
"76": {
"inputs": {
"guidance": [
"52",
"51",
0
],
"conditioning": [
@@ -1082,7 +1083,7 @@
],
"crop": "disabled",
"image": [
"8",
"7",
0
]
},
@@ -1094,7 +1095,7 @@
"80": {
"inputs": {
"boolean_value": [
"49",
"48",
0
],
"image_false": [
@@ -1114,7 +1115,7 @@
"81": {
"inputs": {
"boolean_value": [
"49",
"48",
0
],
"mask_false": [
@@ -1188,7 +1189,7 @@
"85": {
"inputs": {
"upscale_model": [
"58",
"57",
0
],
"image": [
@@ -1204,19 +1205,19 @@
"86": {
"inputs": {
"direction": [
"10",
0
],
"target_resolution": [
"9",
0
],
"target_resolution": [
"8",
0
],
"use_target_mega_pixel": [
"11",
"10",
0
],
"target_mega_pixel": [
"12",
"11",
0
],
"multiple_of": 8,
@@ -1232,7 +1233,10 @@
},
"87": {
"inputs": {
"upscale_method": "lanczos",
"upscale_method": [
"12",
0
],
"width": [
"86",
0
@@ -1354,41 +1358,41 @@
"control_switch": true,
"ControlNet_Unit_0": true,
"controlnet_strength_0": [
"21",
"20",
0
],
"start_percent_0": [
"22",
"21",
0
],
"end_percent_0": [
"23",
"22",
0
],
"ControlNet_Unit_1": true,
"controlnet_strength_1": [
"25",
"24",
0
],
"start_percent_1": [
"26",
"25",
0
],
"end_percent_1": [
"27",
"26",
0
],
"ControlNet_Unit_2": true,
"controlnet_strength_2": [
"29",
"28",
0
],
"start_percent_2": [
"30",
"29",
0
],
"end_percent_2": [
"31",
"30",
0
],
"ControlNet_Unit_3": false,
@@ -1404,7 +1408,7 @@
"start_percent_5": 0,
"end_percent_5": 1,
"controlnet_0": [
"61",
"60",
0
],
"image_0": [
@@ -1412,7 +1416,7 @@
0
],
"controlnet_1": [
"60",
"59",
0
],
"image_1": [
@@ -1420,7 +1424,7 @@
0
],
"controlnet_2": [
"59",
"58",
0
],
"image_2": [
@@ -1440,7 +1444,7 @@
0
],
"vae": [
"20",
"19",
0
]
},
@@ -1452,7 +1456,7 @@
"96": {
"inputs": {
"effective_mask": [
"57",
"56",
2
],
"base_positive": [
@@ -1464,7 +1468,7 @@
0
],
"vae": [
"20",
"19",
0
],
"controlnet_stack": [
@@ -1484,7 +1488,7 @@
1
],
"model": [
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"18",
0
],
"positive": [
@@ -1509,7 +1513,7 @@
],
"neg_scale": 1,
"model": [
"19",
"18",
0
],
"positive": [
@@ -1533,11 +1537,11 @@
"99": {
"inputs": {
"noise_seed": [
"40",
"39",
0
],
"noise_strength": [
"41",
"40",
0
],
"normalize": "false",
@@ -1574,7 +1578,7 @@
"101": {
"inputs": {
"boolean_value": [
"39",
"38",
0
],
"latent_false": [
@@ -1607,7 +1611,7 @@
"103": {
"inputs": {
"noise": [
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"54",
0
],
"guider": [
@@ -1619,7 +1623,7 @@
0
],
"sigmas": [
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0
],
"latent_image": [
@@ -1639,7 +1643,7 @@
1
],
"vae": [
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0
]
},
@@ -1651,11 +1655,11 @@
"105": {
"inputs": {
"method": [
"47",
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],
"strength": [
"48",
"47",
0
],
"image_ref": [
@@ -1675,7 +1679,7 @@
"106": {
"inputs": {
"boolean_value": [
"46",
"45",
0
],
"image_false": [
@@ -1711,7 +1715,7 @@
"108": {
"inputs": {
"boolean_value": [
"4",
"61",
0
],
"image_false": [
replacement/krita/ai_diffusion/workflows/JK Module Krita UpscaleRefine SD3.json
+158 -154
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replacement/krita/ai_diffusion/workflows/JK Module Krita UpscaleRefine SDXL.json
+158 -154
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