mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-22 13:42:12 -03:00
4bff17aa1a
- Expanded the prompt.json file with new configurations for KSampler, CheckpointLoaderSimple, and various CLIPTextEncode nodes. - Introduced additional Lora management features, including a new Lora Stacker and improved trigger word handling. - Enhanced the loras_widget.js to log the generated prompt when saving recipes directly, aiding in debugging and user feedback. - Improved overall structure and organization of the prompt configurations for better maintainability.
116 lines
2.7 KiB
Markdown
116 lines
2.7 KiB
Markdown
# ComfyUI Workflow Parser
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A module for parsing ComfyUI workflow JSON and extracting generation parameters.
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## Features
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- Parse ComfyUI workflow JSON files to extract generation parameters
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- Extract lora information from workflows
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- Support for node traversal and parameter resolution
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- Extensible architecture for supporting custom node types
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- Dynamic loading of node processor extensions
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## Usage
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### Basic Usage
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```python
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from workflow_params import parse_workflow
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# Parse from a file
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with open('my_workflow.json', 'r') as f:
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workflow_json = f.read()
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result = parse_workflow(workflow_json)
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print(result)
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```
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### Using the WorkflowParser directly
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```python
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from workflow_params import WorkflowParser
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parser = WorkflowParser()
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result = parser.parse_workflow(workflow_json)
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```
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### Loading Extensions
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Extensions are loaded automatically by default, but you can also control this behavior:
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```python
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from workflow_params import WorkflowParser
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# Don't load extensions
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parser = WorkflowParser(load_extensions=False)
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# Load extensions from a custom directory
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parser = WorkflowParser(extensions_dir='/path/to/extensions')
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```
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### Creating Custom Node Processors
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To support a custom node type, create a processor class:
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```python
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from workflow_params import NodeProcessor, register_processor
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@register_processor
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class CustomNodeProcessor(NodeProcessor):
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"""Processor for CustomNode nodes"""
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NODE_CLASS_TYPE = "CustomNode"
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REQUIRED_FIELDS = {"param1", "param2"}
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def process(self, workflow_parser):
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result = {}
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# Extract direct values
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if "param1" in self.inputs:
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result["value1"] = self.inputs["param1"]
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# Resolve referenced inputs
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if "param2" in self.inputs:
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result["value2"] = self.resolve_input("param2", workflow_parser)
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return result
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```
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## Command Line Interface
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A command-line interface is available for testing:
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```bash
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python -m workflow_params.cli input_workflow.json -o output.json
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```
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## Extension System
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The module includes an extension system for dynamically loading node processors:
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```python
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from workflow_params import get_extension_manager
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# Get the extension manager
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manager = get_extension_manager()
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# Load all extensions
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manager.load_all_extensions()
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# Load a specific extension
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manager.load_extension('path/to/extension.py')
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```
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Extensions should be placed in the `workflow_params/extensions` directory by default, or a custom directory can be specified.
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## Supported Node Types
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- KSampler
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- CLIPTextEncode
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- EmptyLatentImage
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- JoinStrings
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- StringConstantMultiline
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- CLIPSetLastLayer
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- TriggerWord Toggle (LoraManager)
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- Lora Loader (LoraManager)
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- Lora Stacker (LoraManager) |