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6 changed files with 57 additions and 13 deletions
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@@ -49,7 +49,7 @@ This custom node helps to conveniently enhance images through Detector, Detailer
### ControlNet, IPAdapter
* `ControlNetApply (SEGS)` - To apply ControlNet in SEGS, you need to use the Preprocessor Provider node from the Inspire Pack to utilize this node.
* `segs_preprocessor` and `control_image` can be selectively applied. If an `control_image` is given, `segs_preprocessor` will be ignored.
* `segs_preprocessor` and `control_image` can be selectively applied. If a `control_image` is given, `segs_preprocessor` will be ignored.
* If set to `control_image`, you can preview the cropped cnet image through `SEGSPreview (CNET Image)`. Images generated by `segs_preprocessor` should be verified through the `cnet_images` output of each Detailer.
* The `segs_preprocessor` operates by applying preprocessing on-the-fly based on the cropped image during the detailing process, while `control_image` will be cropped and used as input to `ControlNetApply (SEGS)`.
* `ControlNetClear (SEGS)` - Clear applied ControlNet in SEGS
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@@ -186,6 +186,9 @@ def decode_latent(latent, preview_method, vae_opt=None):
elif preview_method == "Latent2RGB-FLUX.1":
latent_format = latent_formats.Flux()
method = LatentPreviewMethod.Latent2RGB
elif preview_method == "Latent2RGB-LTXV":
latent_format = latent_formats.LTXV()
method = LatentPreviewMethod.Latent2RGB
else:
print(f"[Impact Pack] PreviewBridgeLatent: '{preview_method}' is unsupported preview method.")
latent_format = latent_formats.SD15()
@@ -211,6 +214,7 @@ class PreviewBridgeLatent:
"Latent2RGB-SDXL", "Latent2RGB-SD15", "Latent2RGB-SD3",
"Latent2RGB-SD-X4", "Latent2RGB-Playground-2.5",
"Latent2RGB-SC-Prior", "Latent2RGB-SC-B",
"Latent2RGB-LTXV",
"TAEF1", "TAESDXL", "TAESD15", "TAESD3"],),
},
"optional": {
@@ -274,7 +278,13 @@ class PreviewBridgeLatent:
def doit(self, latent, image, preview_method, vae_opt=None, block=False, unique_id=None, restore_mask='never', prompt=None, extra_pnginfo=None):
latent_channels = latent['samples'].shape[1]
preview_method_channels = 16 if 'SD3' in preview_method or 'SC-Prior' in preview_method or 'FLUX.1' in preview_method or 'TAEF1' == preview_method else 4
if 'SD3' in preview_method or 'SC-Prior' in preview_method or 'FLUX.1' in preview_method or 'TAEF1' == preview_method:
preview_method_channels = 16
elif 'LTXV' in preview_method:
preview_method_channels = 128
else:
preview_method_channels = 4
if vae_opt is None and latent_channels != preview_method_channels:
print(f"[PreviewBridgeLatent] The version of latent is not compatible with preview_method.\nSD3, SD1/SD2, SDXL, SC-Prior, SC-B and FLUX.1 are not compatible with each other.")
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@@ -1,7 +1,7 @@
import configparser
import os
version_code = [7, 13]
version_code = [7, 14, 2]
version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
dependency_version = 24
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@@ -2027,7 +2027,12 @@ class LatentSender(nodes.SaveLatent):
"samples": ("LATENT", ),
"filename_prefix": ("STRING", {"default": "latents/LatentSender"}),
"link_id": ("INT", {"default": 0, "min": 0, "max": sys.maxsize, "step": 1}),
"preview_method": (["Latent2RGB-SDXL", "Latent2RGB-SD15", "TAESDXL", "TAESD15"],)
"preview_method": (["Latent2RGB-FLUX.1",
"Latent2RGB-SDXL", "Latent2RGB-SD15", "Latent2RGB-SD3",
"Latent2RGB-SD-X4", "Latent2RGB-Playground-2.5",
"Latent2RGB-SC-Prior", "Latent2RGB-SC-B",
"Latent2RGB-LTXV",
"TAEF1", "TAESDXL", "TAESD15", "TAESD3"],)
},
"hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
}
@@ -2069,14 +2074,33 @@ class LatentSender(nodes.SaveLatent):
if preview_method == "Latent2RGB-SD15":
latent_format = latent_formats.SD15()
method = LatentPreviewMethod.Latent2RGB
elif preview_method == "TAESD15":
elif preview_method == "Latent2RGB-SDXL":
latent_format = latent_formats.SDXL()
method = LatentPreviewMethod.Latent2RGB
elif preview_method == "Latent2RGB-SD3":
latent_format = latent_formats.SD3()
method = LatentPreviewMethod.Latent2RGB
elif preview_method == "Latent2RGB-SD-X4":
latent_format = latent_formats.SD_X4()
method = LatentPreviewMethod.Latent2RGB
elif preview_method == "Latent2RGB-Playground-2.5":
latent_format = latent_formats.SDXL_Playground_2_5()
method = LatentPreviewMethod.Latent2RGB
elif preview_method == "Latent2RGB-SC-Prior":
latent_format = latent_formats.SC_Prior()
method = LatentPreviewMethod.Latent2RGB
elif preview_method == "Latent2RGB-SC-B":
latent_format = latent_formats.SC_B()
method = LatentPreviewMethod.Latent2RGB
elif preview_method == "Latent2RGB-FLUX.1":
latent_format = latent_formats.Flux()
method = LatentPreviewMethod.Latent2RGB
elif preview_method == "Latent2RGB-LTXV":
latent_format = latent_formats.LTXV()
method = LatentPreviewMethod.Latent2RGB
else:
print(f"[Impact Pack] LatentSender: '{preview_method}' is unsupported preview method.")
latent_format = latent_formats.SD15()
method = LatentPreviewMethod.TAESD
elif preview_method == "TAESDXL":
latent_format = latent_formats.SDXL()
method = LatentPreviewMethod.TAESD
else: # preview_method == "Latent2RGB-SDXL"
latent_format = latent_formats.SDXL()
method = LatentPreviewMethod.Latent2RGB
previewer = core.get_previewer("cpu", latent_format=latent_format, force=True, method=method)
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@@ -52,7 +52,10 @@ class GeneralSwitch:
print(f"SELECTED: {input_name}")
return [input_name]
if input_name in kwargs:
return [input_name]
else:
return []
@staticmethod
def doit(*args, **kwargs):
@@ -62,6 +65,13 @@ class GeneralSwitch:
selected_label = input_name
node_id = kwargs['unique_id']
if input_name not in kwargs:
if core.is_execution_model_version_supported():
from comfy_execution.graph import ExecutionBlocker
return ExecutionBlocker(None), selected_label, selected_index
else:
print("[Impact Pack] ImpactSwitch: ComfyUI is outdated. Cannot block empty selection.")
if 'extra_pnginfo' in kwargs and kwargs['extra_pnginfo'] is not None:
nodelist = kwargs['extra_pnginfo']['workflow']['nodes']
for node in nodelist:
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@@ -1,7 +1,7 @@
[project]
name = "comfyui-impact-pack"
description = "This extension offers various detector nodes and detailer nodes that allow you to configure a workflow that automatically enhances facial details. And provide iterative upscaler."
version = "7.13"
version = "7.14.2"
license = { file = "LICENSE.txt" }
dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]