- Wrap ExifUtils.extract_image_metadata() with asyncio.to_thread() in
both import handlers and analysis_service to prevent Pillow/piexif
from blocking ComfyUI's event loop during batch imports.
- Add asyncio.Semaphore(2) to import_remote_recipe and import_from_url
endpoints to cap concurrent heavy work and prevent event loop starvation.
- Pre-fetch Civitai image_info during download and pass it to the recipe
enricher, eliminating a redundant get_image_info() API round-trip.
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
- Add validation to check if Civitai API metadata contains recipe fields
- Fall back to EXIF extraction when API returns empty metadata (meta.meta=null)
- Improve error messages to distinguish between missing metadata and unsupported format
- Add _has_recipe_fields() helper method to validate metadata content
This fixes import failures for Civitai images where the API returns
metadata wrapper but no actual generation parameters (e.g., images
edited in Photoshop that lost their original generation metadata)
- Refactor metadata detection to handle nested "meta" objects
- Add support for lowercase "lora:" hash keys
- Extract metadata from nested "meta" field when present
- Update tests to verify nested metadata parsing
- Handle case-insensitive LORA hash detection
The changes ensure proper parsing of Civitai image metadata that may be wrapped in nested structures, improving compatibility with different API response formats.
