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feat(civitai): enhance LoRA matching by extracting hashes from metadata

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Will Miao
2025-09-07 10:05:30 +08:00
parent 1e7257fd53
commit 510d476323
1 changed files with 12 additions and 0 deletions
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12
py/recipes/parsers/civitai_image.py
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@@ -53,6 +53,14 @@ class CivitaiApiMetadataParser(RecipeMetadataParser):
# Track already added LoRAs to prevent duplicates
added_loras = {} # key: model_version_id or hash, value: index in result["loras"]
# Extract hash information from hashes field for LoRA matching
lora_hashes = {}
if "hashes" in metadata and isinstance(metadata["hashes"], dict):
for key, hash_value in metadata["hashes"].items():
if key.startswith("LORA:"):
lora_name = key.replace("LORA:", "")
lora_hashes[lora_name] = hash_value
# Extract prompt and negative prompt
if "prompt" in metadata:
result["gen_params"]["prompt"] = metadata["prompt"]
@@ -101,6 +109,10 @@ class CivitaiApiMetadataParser(RecipeMetadataParser):
if resource.get("type", "lora") == "lora":
lora_hash = resource.get("hash", "")
# Try to get hash from the hashes field if not present in resource
if not lora_hash and resource.get("name"):
lora_hash = lora_hashes.get(resource["name"], "")
# Skip LoRAs without proper identification (hash or modelVersionId)
if not lora_hash and not resource.get("modelVersionId"):
logger.debug(f"Skipping LoRA resource '{resource.get('name', 'Unknown')}' - no hash or modelVersionId")