The previous tooltip was misleading: users thought workflow embedding was
automatic. New wording explains this opt-in flag stores the complete
workflow inside images, allowing one-click restoration via drag-and-drop.
PNG and WebP only.
Add two new optional parameters to the Save Image node:
- webp_method (INT, 0-6, default 6): Controls WebP compression level.
0=fastest/largest, 6=slowest/smallest. Previously hardcoded to 0.
- jpeg_subsampling (INT, 0-2, default 0): Controls JPEG chroma
subsampling. 0=4:4:4 (best quality), 1=4:2:2, 2=4:2:0.
Frontend JS extension hides/disables each parameter when the
selected file_format doesn't apply (e.g., webp_method is hidden
when saving as PNG or JPEG). 7 new tests cover parameter plumbing
and default consistency across INPUT_TYPES, save_images(), and
process_image().
- Replace plain-text Lora hashes with Hashes JSON dict matching A1111 convention
- Add Civitai resources JSON array with AIR URNs for direct model version linking
- Add Clip skip, Version: ComfyUI fields to generation params line
- Build AIR strings from local scanner cache (no API calls needed)
- Add complete sampler name mapping (CIVITAI_SAMPLER_MAP) and base model → AIR slug mapping (BASE_MODEL_AIR_SLUG) sourced from civitai ecosystem constants
- Remove lora text prepending from prompt line; LoRA info now in structured JSON sections
The SaveImage class has been renamed to SaveImageLM to better reflect its purpose within the Lora Manager module. This change ensures consistent naming across import statements, class mappings, and the actual class definition, improving code readability and maintainability.
- Add CheckpointLoaderKJ to NODE_EXTRACTORS mapping for KJNodes support
- Enhance model filename generation in SaveImage to handle different data types
- Add proper type checking and fallback for model metadata values
- Improve robustness when processing checkpoint paths for filename generation
- Added a new optional parameter `custom_prompt` to the SaveImage class methods to allow users to override the default prompt.
- Updated the `format_metadata` method to utilize the custom prompt if provided.
- Modified the `save_images` and `process_image` methods to accept and pass the custom prompt through the workflow processing.
- Updated the INPUT_TYPES to accept multiple images and modified the corresponding processing methods.
- Introduced a new format_filename method to handle dynamic filename generation using metadata patterns.
- Replaced save_workflow_json with embed_workflow for better clarity in saving workflow metadata.
- Improved directory handling and filename generation logic to ensure proper file saving.
- Added support for importing recipes via image upload or URL input in the ImportManager.
- Implemented toggle functionality to switch between upload and URL modes, updating the UI accordingly.
- Enhanced error handling for missing fields and invalid URLs during the import process.
- Updated the RecipeRoutes to analyze images from both uploaded files and URLs, returning appropriate metadata.
- Improved the import modal UI to accommodate new input methods and provide clearer user feedback.
