Replace direct uses of the logging module and module-level loggers with the centralized log_system.log_funcs (log_debug/log_info/log_warn/log_error/log_exception) across multiple modules. Updated imports and removed unused logging.getLogger() instances in downloader, scanner, sources (civitai, huggingface, model_list, popular), workflow_analyzer, workflow_updater, and __init__.py. Minor message/text tweaks and import formatting applied; behavior unchanged aside from routing logs through the shared logging helpers.
Introduce a new logging subsystem under core/log_system (logger.py, config.py, log_funcs.py) implementing AzLogs (LogLevel enum, colored console output, optional file rotation) and a lightweight wrapper (log_debug/info/warn/error/exception) with safe fallback when AzLogs is unavailable. Integrate these log functions across many core modules (downloader, linker, matcher, scanner, workflow_analyzer, workflow_updater, sources and related files) and export logger and helper log functions from core.__init__. Replace several direct logging calls in linker with the new log_* helpers and update core.__init__ exports. Also include small code style and robustness tweaks (path/filename normalization, JSON/file handling, minor refactors and formatting fixes) to improve matching and model-list/popular lookups.
Add support for the gguf model format across the codebase and improve handling of nested/dict-type widget model references. Changes include:
- Add ".gguf" to model extension lists in core/linker.py, core/scanner.py, core/sources/huggingface.py, and core/workflow_analyzer.py so gguf files are detected and suggested.
- Update HuggingFace search/repo listing to consider gguf files and improve some request/response handling and logging.
- Improve scanner implementation: formatting/PEP8 cleanup, robust extension checks, normalized MODEL_EXTENSIONS set, safer path handling, and clearer logging.
- Add NESTED_MODEL_KEYS and logic in workflow_analyzer to detect model filenames stored inside dict-type widget values (e.g. rgthree Power Lora Loader) and record a nested_key for resolution.
- Propagate nested_key through apply_resolution mapping and update update_model_path to write resolved paths back into nested dict keys when present (instead of only replacing the top-level widget value).
- Update web UI (web/linker.js) regexes to strip/display gguf extensions in model name formatting.
These changes allow gguf models to be discovered, resolved and updated in workflows, and enable support for nodes that store model references inside nested dict fields.
Filter out LoraManager (LoraLoaderV2) entries that already exist locally so they don't appear as missing, and skip matching for those entries. Integrate scanner data to detect local lora files (full_path/exists) in workflow analysis. Add special handling in update_model_path/update_workflow_nodes to update LoraManager lora lists and the formatted lora text widget (widgets_values[2] and [1]) when a new lora is resolved, using mapping fields is_lora_v2 and original_lora_name. Improve convert_to_relative_path and get_base_directory_for_model to prefer folder_paths lookup and preserve exact ComfyUI filename formats. In the web UI, make resolve button IDs unique by including a missingIndex, avoid duplicate listeners, forward is_lora_v2/original_lora_name to the resolve API, and add extra logging for debugging.
Dariusz L