refactor: consolidate model API client creation into a factory function for better maintainability
feat: implement move operations for LoRAs and handle unsupported operations for Checkpoints and Embeddings
- Add download-related methods to baseModelApi.js for fetching versions, roots, folders, and downloading models
- Replace separate download managers with a unified DownloadManager.js supporting all model types
- Create a single download_modals.html template that adapts to model type (LoRA, checkpoint, etc.)
- Remove old download modals from lora_modals.html and checkpoint_modals.html
- Update apiConfig.js to include civitaiVersions endpoints for each model type
- Centralize event handler binding in DownloadManager.js (no more inline HTML handlers)
- Modal UI and logic now auto-adapt to the current model type, making future extension easier
- Introduced MODEL_TYPES and MODEL_CONFIG for centralized model type management.
- Created a unified API client for checkpoints and loras to streamline operations.
- Updated all API calls in checkpointApi.js and loraApi.js to use the new client.
- Simplified context menus and model card operations to leverage the unified API client.
- Enhanced state management to accommodate new model types and their configurations.
- Added virtual scrolling functions for recipes and improved loading states.
- Refactored modal utilities to handle model exclusion and deletion generically.
- Improved error handling and user feedback across various operations.
- Added PresetTags.js to handle LoRA model preset parameter tags.
- Introduced RecipeTab.js for managing recipes associated with LoRA models.
- Created TriggerWords.js to manage trigger word functionality for LoRA models.
- Implemented utility functions in utils.js for general model modal operations.
- Implemented CSS styles for the statistics page layout and components.
- Developed JavaScript functionality for managing statistics, including data fetching, chart rendering, and tab navigation.
- Created HTML template for the statistics page, integrating dynamic content for metrics, charts, and insights.
- Added responsive design adjustments and loading states for better user experience.
- Implemented new API endpoints for re-linking models to CivitAI.
- Added context menu options for re-linking in both Lora and Checkpoint context menus.
- Created a modal for user confirmation and input for CivitAI model URL.
- Updated styles for the new modal and context menu items.
- Enhanced error handling and user feedback during the re-linking process.