Compare commits
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81045cc845 | ||
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@@ -49,7 +49,7 @@ This custom node helps to conveniently enhance images through Detector, Detailer
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### ControlNet, IPAdapter
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* `ControlNetApply (SEGS)` - To apply ControlNet in SEGS, you need to use the Preprocessor Provider node from the Inspire Pack to utilize this node.
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* `segs_preprocessor` and `control_image` can be selectively applied. If an `control_image` is given, `segs_preprocessor` will be ignored.
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* `segs_preprocessor` and `control_image` can be selectively applied. If a `control_image` is given, `segs_preprocessor` will be ignored.
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* 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.
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* 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)`.
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* `ControlNetClear (SEGS)` - Clear applied ControlNet in SEGS
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@@ -186,6 +186,9 @@ def decode_latent(latent, preview_method, vae_opt=None):
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elif preview_method == "Latent2RGB-FLUX.1":
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latent_format = latent_formats.Flux()
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method = LatentPreviewMethod.Latent2RGB
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elif preview_method == "Latent2RGB-LTXV":
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latent_format = latent_formats.LTXV()
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method = LatentPreviewMethod.Latent2RGB
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else:
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print(f"[Impact Pack] PreviewBridgeLatent: '{preview_method}' is unsupported preview method.")
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latent_format = latent_formats.SD15()
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@@ -211,6 +214,7 @@ class PreviewBridgeLatent:
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"Latent2RGB-SDXL", "Latent2RGB-SD15", "Latent2RGB-SD3",
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"Latent2RGB-SD-X4", "Latent2RGB-Playground-2.5",
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"Latent2RGB-SC-Prior", "Latent2RGB-SC-B",
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"Latent2RGB-LTXV",
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"TAEF1", "TAESDXL", "TAESD15", "TAESD3"],),
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},
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"optional": {
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@@ -274,7 +278,13 @@ class PreviewBridgeLatent:
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def doit(self, latent, image, preview_method, vae_opt=None, block=False, unique_id=None, restore_mask='never', prompt=None, extra_pnginfo=None):
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latent_channels = latent['samples'].shape[1]
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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
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if 'SD3' in preview_method or 'SC-Prior' in preview_method or 'FLUX.1' in preview_method or 'TAEF1' == preview_method:
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preview_method_channels = 16
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elif 'LTXV' in preview_method:
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preview_method_channels = 128
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else:
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preview_method_channels = 4
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if vae_opt is None and latent_channels != preview_method_channels:
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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 @@
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import configparser
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import os
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version_code = [7, 13]
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version_code = [7, 14, 2]
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version = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
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dependency_version = 24
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@@ -2027,7 +2027,12 @@ class LatentSender(nodes.SaveLatent):
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"samples": ("LATENT", ),
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"filename_prefix": ("STRING", {"default": "latents/LatentSender"}),
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"link_id": ("INT", {"default": 0, "min": 0, "max": sys.maxsize, "step": 1}),
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"preview_method": (["Latent2RGB-SDXL", "Latent2RGB-SD15", "TAESDXL", "TAESD15"],)
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"preview_method": (["Latent2RGB-FLUX.1",
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"Latent2RGB-SDXL", "Latent2RGB-SD15", "Latent2RGB-SD3",
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"Latent2RGB-SD-X4", "Latent2RGB-Playground-2.5",
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"Latent2RGB-SC-Prior", "Latent2RGB-SC-B",
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"Latent2RGB-LTXV",
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"TAEF1", "TAESDXL", "TAESD15", "TAESD3"],)
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},
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"hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
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}
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@@ -2069,14 +2074,33 @@ class LatentSender(nodes.SaveLatent):
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if preview_method == "Latent2RGB-SD15":
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latent_format = latent_formats.SD15()
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method = LatentPreviewMethod.Latent2RGB
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elif preview_method == "TAESD15":
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elif preview_method == "Latent2RGB-SDXL":
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latent_format = latent_formats.SDXL()
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method = LatentPreviewMethod.Latent2RGB
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elif preview_method == "Latent2RGB-SD3":
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latent_format = latent_formats.SD3()
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method = LatentPreviewMethod.Latent2RGB
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elif preview_method == "Latent2RGB-SD-X4":
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latent_format = latent_formats.SD_X4()
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method = LatentPreviewMethod.Latent2RGB
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elif preview_method == "Latent2RGB-Playground-2.5":
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latent_format = latent_formats.SDXL_Playground_2_5()
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method = LatentPreviewMethod.Latent2RGB
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elif preview_method == "Latent2RGB-SC-Prior":
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latent_format = latent_formats.SC_Prior()
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method = LatentPreviewMethod.Latent2RGB
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elif preview_method == "Latent2RGB-SC-B":
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latent_format = latent_formats.SC_B()
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method = LatentPreviewMethod.Latent2RGB
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elif preview_method == "Latent2RGB-FLUX.1":
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latent_format = latent_formats.Flux()
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method = LatentPreviewMethod.Latent2RGB
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elif preview_method == "Latent2RGB-LTXV":
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latent_format = latent_formats.LTXV()
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method = LatentPreviewMethod.Latent2RGB
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else:
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print(f"[Impact Pack] LatentSender: '{preview_method}' is unsupported preview method.")
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latent_format = latent_formats.SD15()
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method = LatentPreviewMethod.TAESD
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elif preview_method == "TAESDXL":
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latent_format = latent_formats.SDXL()
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method = LatentPreviewMethod.TAESD
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else: # preview_method == "Latent2RGB-SDXL"
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latent_format = latent_formats.SDXL()
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method = LatentPreviewMethod.Latent2RGB
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previewer = core.get_previewer("cpu", latent_format=latent_format, force=True, method=method)
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@@ -52,7 +52,10 @@ class GeneralSwitch:
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print(f"SELECTED: {input_name}")
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return [input_name]
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if input_name in kwargs:
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return [input_name]
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else:
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return []
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@staticmethod
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def doit(*args, **kwargs):
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@@ -62,6 +65,13 @@ class GeneralSwitch:
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selected_label = input_name
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node_id = kwargs['unique_id']
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if input_name not in kwargs:
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if core.is_execution_model_version_supported():
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from comfy_execution.graph import ExecutionBlocker
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return ExecutionBlocker(None), selected_label, selected_index
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else:
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print("[Impact Pack] ImpactSwitch: ComfyUI is outdated. Cannot block empty selection.")
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if 'extra_pnginfo' in kwargs and kwargs['extra_pnginfo'] is not None:
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nodelist = kwargs['extra_pnginfo']['workflow']['nodes']
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for node in nodelist:
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+1
-1
@@ -1,7 +1,7 @@
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[project]
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name = "comfyui-impact-pack"
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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."
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version = "7.13"
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version = "7.14.2"
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license = { file = "LICENSE.txt" }
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dependencies = ["segment-anything", "scikit-image", "piexif", "transformers", "opencv-python-headless", "GitPython", "scipy>=1.11.4"]
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Reference in New Issue
Block a user