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a89e9e01a6 | ||
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e70b4df9b5 |
@@ -1,7 +1,7 @@
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import configparser
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import os
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version_code = [8, 5]
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version_code = [8, 5, 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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@@ -78,9 +78,13 @@ async def sam_prepare(request):
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if data['sam_model_name'] == 'auto':
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model_name = impact.config.get_config()['sam_editor_model']
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model_name = os.path.join(impact_pack.model_path, "sams", model_name)
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model_path = folder_paths.get_full_path("sams", model_name)
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logging.info(f"[Impact Pack] Loading SAM model '{impact_pack.model_path}'")
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if model_path is None:
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logging.error(f"[Impact Pack] The '{model_name}' model file cannot be found in any sams model path.")
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return web.Response(status=400)
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logging.info(f"[Impact Pack] Loading SAM model '{model_path}'")
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filename, image_dir = folder_paths.annotated_filepath(data["filename"])
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@@ -93,7 +97,7 @@ async def sam_prepare(request):
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if image_dir is None:
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return web.Response(status=400)
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thread = threading.Thread(target=async_prepare_sam, args=(image_dir, model_name, filename,))
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thread = threading.Thread(target=async_prepare_sam, args=(image_dir, model_path, filename,))
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thread.start()
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logging.info("[Impact Pack] SAM model loaded. ")
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@@ -524,7 +528,7 @@ def onprompt_populate_wildcards(json_data):
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key = str(node['id'])
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if key in updated_widget_values:
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node['widgets_values'][1] = updated_widget_values[key]
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node['widgets_values'][2] = False
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node['widgets_values'][2] = 'reproduce'
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def onprompt_for_remote(json_data):
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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 node pack 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 = "8.5"
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version = "8.5.2"
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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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