mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-25 15:15:44 -03:00
Delete unused files
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@@ -1,25 +0,0 @@
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import json
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from py.workflow.parser import WorkflowParser
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# Load workflow data
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with open('refs/prompt.json', 'r') as f:
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workflow_data = json.load(f)
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# Parse workflow
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parser = WorkflowParser()
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try:
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# Parse the workflow
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result = parser.parse_workflow(workflow_data)
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print("Parsing successful!")
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# Print each component separately
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print("\nGeneration Parameters:")
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for k, v in result.get("gen_params", {}).items():
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print(f" {k}: {v}")
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print("\nLoRAs:")
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print(result.get("loras", ""))
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except Exception as e:
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print(f"Error parsing workflow: {e}")
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import traceback
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traceback.print_exc()
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@@ -1,45 +0,0 @@
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import json
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import sys
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from py.workflow.parser import WorkflowParser
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from py.workflow.utils import trace_model_path
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# Load workflow data
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with open('refs/prompt.json', 'r') as f:
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workflow_data = json.load(f)
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# Parse workflow
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parser = WorkflowParser()
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try:
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# Find KSampler node
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ksampler_node = None
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for node_id, node in workflow_data.items():
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if node.get("class_type") == "KSampler":
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ksampler_node = node_id
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break
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if not ksampler_node:
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print("KSampler node not found")
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sys.exit(1)
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# Trace all Lora nodes
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print("Finding Lora nodes in the workflow...")
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lora_nodes = trace_model_path(workflow_data, ksampler_node)
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print(f"Found Lora nodes: {lora_nodes}")
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# Print node details
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for node_id in lora_nodes:
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node = workflow_data[node_id]
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print(f"\nNode {node_id}: {node.get('class_type')}")
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for key, value in node.get("inputs", {}).items():
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print(f" - {key}: {value}")
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# Parse the workflow
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result = parser.parse_workflow(workflow_data)
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print("\nParsing successful!")
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print(json.dumps(result, indent=2))
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sys.exit(0)
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except Exception as e:
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print(f"Error parsing workflow: {e}")
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import traceback
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traceback.print_exc()
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sys.exit(1)
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