- Added input_image parameter for image-to-image generation. - Updated resolution default to include MP information. - Improved denoise tooltip for better user guidance. - Implemented smart validation for Img2Img mode with feedback on denoise strength. - Introduced _encode_image_to_latent method for encoding input images. - Enhanced error handling and logging for better debugging. feat: Introduce BawkBatchProcessor for batch processing of prompts - Added support for loading prompts from CSV/JSON files. - Implemented validation and extraction of settings from batch items. - Included preview functionality for batch files before processing. feat: Add BawkControlNet for ControlNet integration - Implemented preprocessing for various ControlNet types (Canny, Depth, etc.). - Added parameter validation and feedback for ControlNet processing. - Created placeholder methods for ControlNet conditioning. feat: Enhance BawkImageLoader with advanced image loading features - Added options for auto-orienting images based on EXIF data. - Implemented resizing and padding options for images. - Included mask generation functionality for images with alpha channels. chore: Update version to 2.0.5 in pyproject.toml
20 lines
401 B
Python
20 lines
401 B
Python
"""
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Modules package for ComfyUI Bawk Nodes
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File: modules/__init__.py
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"""
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from .model_utils import ModelUtils
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from .cache_manager import SmartCacheManager, CacheStats
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from .validation import ValidationMixin, ModelValidator
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__all__ = [
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"ModelUtils",
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"SmartCacheManager",
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"CacheStats",
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"ValidationMixin",
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"ModelValidator"
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]
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# Version info
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__version__ = "2.0.5"
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__author__ = "judd" |