feat: enhance LoRA metadata handling by adding model IDs and updating recipe data structure. Fixes #246

This commit is contained in:
Will Miao
2025-06-24 11:12:21 +08:00
parent f6ef428008
commit d0ed1213d8
9 changed files with 38 additions and 58 deletions

View File

@@ -79,6 +79,9 @@ class RecipeMetadataParser(ABC):
if 'model' in civitai_info and 'name' in civitai_info['model']:
lora_entry['name'] = civitai_info['model']['name']
lora_entry['id'] = civitai_info.get('id')
lora_entry['modelId'] = civitai_info.get('modelId')
# Update version if available
if 'name' in civitai_info:
lora_entry['version'] = civitai_info.get('name', '')

View File

@@ -184,8 +184,8 @@ class AutomaticMetadataParser(RecipeMetadataParser):
if resource.get("type") in ["lora", "lycoris", "hypernet"] and resource.get("modelVersionId"):
# Initialize lora entry
lora_entry = {
'id': str(resource.get("modelVersionId")),
'modelId': str(resource.get("modelId")) if resource.get("modelId") else None,
'id': resource.get("modelVersionId", 0),
'modelId': resource.get("modelId", 0),
'name': resource.get("modelName", "Unknown LoRA"),
'version': resource.get("modelVersionName", ""),
'type': resource.get("type", "lora"),

View File

@@ -141,8 +141,8 @@ class CivitaiApiMetadataParser(RecipeMetadataParser):
if resource.get("type") in ["lora", "lycoris"] or "type" not in resource:
# Initialize lora entry with the same structure as in automatic.py
lora_entry = {
'id': str(resource.get("modelVersionId")),
'modelId': str(resource.get("modelId")) if resource.get("modelId") else None,
'id': resource.get("modelVersionId", 0),
'modelId': resource.get("modelId", 0),
'name': resource.get("modelName", "Unknown LoRA"),
'version': resource.get("modelVersionName", ""),
'type': resource.get("type", "lora"),

View File

@@ -43,7 +43,7 @@ class RecipeFormatParser(RecipeMetadataParser):
for lora in recipe_metadata.get('loras', []):
# Convert recipe lora format to frontend format
lora_entry = {
'id': lora.get('modelVersionId', ''),
'id': int(lora.get('modelVersionId', 0)),
'name': lora.get('modelName', ''),
'version': lora.get('modelVersionName', ''),
'type': 'lora',