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feat: Enhance checkpoint processing in format_metadata to handle non-string types safely

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Will Miao
2025-04-17 09:38:20 +08:00
parent 32d34d1748
commit 5fd069d70d
1 changed files with 14 additions and 5 deletions
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19
py/nodes/save_image.py
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@@ -159,11 +159,20 @@ class SaveImage:
# Model info # Model info
if 'checkpoint' in metadata_dict: if 'checkpoint' in metadata_dict:
# Extract basename without path # Ensure checkpoint is a string before processing
checkpoint = os.path.basename(metadata_dict.get('checkpoint', '')) checkpoint = metadata_dict.get('checkpoint')
# Remove extension if present if checkpoint is not None:
checkpoint = os.path.splitext(checkpoint)[0] # Handle both string and other types safely
params.append(f"Model: {checkpoint}") if isinstance(checkpoint, str):
# Extract basename without path
checkpoint = os.path.basename(checkpoint)
# Remove extension if present
checkpoint = os.path.splitext(checkpoint)[0]
else:
# Convert non-string to string
checkpoint = str(checkpoint)
params.append(f"Model: {checkpoint}")
# Add LoRA hashes if available # Add LoRA hashes if available
if lora_hashes: if lora_hashes: