Fixes#394 — LoRAs loaded via rgthree Power Lora Loader were not
tracked in usage statistics because no extractor existed for that node.
New extractors:
- RgthreePowerLoraLoaderExtractor: parses LORA_* kwargs, respects
the per-LoRA 'on' toggle
- TensorRTLoaderExtractor: parses engine filename (strips _$profile
suffix) as best-effort for vanilla TRT. If the output MODEL has
attachments["source_model"] (set by NubeBuster fork), overrides
with the real checkpoint name.
TensorRTRefitLoader and TensorRTLoaderAuto take a MODEL input whose
upstream checkpoint loader is already tracked — no extractor needed.
Also adds a name:<filename> fallback and warning log in both
_process_checkpoints and _process_loras when hash lookup fails.
- Update CSP whitelist to use wildcard *.civitai.com for all CDN subdomains
- Fix hostname parsing to use parsed.hostname instead of parsed.netloc (handles ports)
- Update rewrite_preview_url() to support all CivitAI CDN subdomains
- Update rewriteCivitaiUrl() frontend function to support subdomains
- Add comprehensive tests for edge cases (ports, subdomains, invalid URLs)
- Add security note explaining wildcard CSP design decision
Fixes CSP blocking of images from image-b2.civitai.com and other CDN subdomains
- Replace tooltip with restart-required icon for better visibility
- Update descriptions to accurately reflect feature purpose
- Fix toast message to show correct restart notification
- Sync i18n keys across all supported languages
- Add 'Send to Workflow' menu item to checkpoint context menu (templates/checkpoints.html)
- Implement sendCheckpointToWorkflow() method in CheckpointContextMenu.js
- Use unified 'Model' terminology for toast messages instead of differentiating checkpoint/diffusion model
- Add translation keys: checkpoints.contextMenu.sendToWorkflow, uiHelpers.workflow.modelUpdated, modelFailed
- Complete translations for all 10 locales (en, zh-CN, zh-TW, ja, ko, de, fr, es, ru, he)
When importing recipes from Civitai image URLs, the API returns modelVersionIds
at the root level instead of inside the meta object. This caused LoRA information
to not be recognized and imported.
Changes:
- analysis_service.py: Merge modelVersionIds from image_info into metadata
- civitai_image.py: Add modelVersionIds field recognition and processing logic
- test_civitai_image_parser.py: Add test for modelVersionIds handling
