mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
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c9f902a8af
- Implemented the base class `RecipeMetadataParser` for parsing recipe metadata from user comments. - Created a factory class `RecipeParserFactory` to instantiate appropriate parser based on user comment content. - Developed multiple parser classes: `ComfyMetadataParser`, `AutomaticMetadataParser`, `MetaFormatParser`, and `RecipeFormatParser` to handle different metadata formats. - Introduced constants for generation parameters and valid LoRA types. - Enhanced error handling and logging throughout the parsing process. - Added functionality to populate LoRA and checkpoint information from Civitai API responses. - Structured the output of parsed metadata to include prompts, LoRAs, generation parameters, and model information.
17 lines
285 B
Python
17 lines
285 B
Python
"""Constants used across recipe parsers."""
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# Constants for generation parameters
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GEN_PARAM_KEYS = [
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'prompt',
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'negative_prompt',
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'steps',
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'sampler',
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'cfg_scale',
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'seed',
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'size',
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'clip_skip',
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]
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# Valid Lora types
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VALID_LORA_TYPES = ['lora', 'locon']
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