nodes/MatthewClayHarrison-ComfyUI-MetaMan
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Session 8 Priority 1: Simplify LoRA output format to real_name and weight only

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- Modified MetaManExtractComponents to return simplified LoRA list
- Enhanced LoRAs: Only real_name and weight fields
- Regular LoRAs: name mapped to real_name, weight preserved
- Removes unnecessary hash, label, and other metadata fields
- Cleaner output for workflow integration
- Updated logging to show simplified LoRA counts
This commit is contained in:
PXL8D
2025-08-13 11:44:36 -07:00
parent cc24d46b0a
commit 7ddc19c1b4
1 changed files with 28 additions and 5 deletions
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metaman.py
+28 -5
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@@ -444,13 +444,36 @@ class MetaManExtractComponents:
denoising_strength = float(metadata.get('denoising_strength', 1.0))
# Enhanced LoRAs - prefer de-obfuscated version if available
# Enhanced LoRAs - prefer de-obfuscated version if available (simplified output)
loras_list = []
if 'loras_enhanced' in metadata and isinstance(metadata['loras_enhanced'], list):
loras_list = metadata['loras_enhanced'] # Use enhanced LoRAs with real names
print(f"MetaMan Extract Components: Using enhanced LoRAs with real names")
# Simplify enhanced LoRAs to only include real_name and weight
raw_loras = metadata['loras_enhanced']
for lora in raw_loras:
if isinstance(lora, dict):
simplified_lora = {
'real_name': lora.get('real_name', lora.get('name', '')),
'weight': lora.get('weight', 1.0)
}
loras_list.append(simplified_lora)
else:
# Handle non-dict LoRAs (fallback)
loras_list.append({'real_name': str(lora), 'weight': 1.0})
print(f"MetaMan Extract Components: Using simplified enhanced LoRAs ({len(loras_list)} LoRAs)")
elif 'loras' in metadata and isinstance(metadata['loras'], list):
loras_list = metadata['loras'] # Fall back to regular LoRAs
# Simplify regular LoRAs to only include name (as real_name) and weight
raw_loras = metadata['loras']
for lora in raw_loras:
if isinstance(lora, dict):
simplified_lora = {
'real_name': lora.get('name', ''),
'weight': lora.get('weight', 1.0)
}
loras_list.append(simplified_lora)
else:
# Handle non-dict LoRAs (fallback)
loras_list.append({'real_name': str(lora), 'weight': 1.0})
print(f"MetaMan Extract Components: Using simplified regular LoRAs ({len(loras_list)} LoRAs)")
# Format embeddings as a list
embeddings_list = []
@@ -458,7 +481,7 @@ class MetaManExtractComponents:
embeddings_list = metadata['embeddings'] # Return the actual list
print(f"MetaMan Extract Components: Successfully extracted {len([x for x in [positive_prompt, negative_prompt, model_name, vae_name] if x])} text components")
print(f"MetaMan Extract Components: Extracted {len(loras_list)} LoRAs and {len(embeddings_list)} embeddings")
print(f"MetaMan Extract Components: Extracted {len(loras_list)} simplified LoRAs and {len(embeddings_list)} embeddings")
return (positive_prompt, negative_prompt, steps, cfg_scale, sampler, scheduler, seed, width, height, model_name, vae_name, loras_list, embeddings_list, denoising_strength)