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fix(randomizer): convert numeric config values to proper types to prevent string subtraction errors

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Will Miao
2026-01-18 12:40:58 +08:00
parent 839bcbd37f
commit f0c852ef23
1 changed files with 15 additions and 15 deletions
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30
py/nodes/lora_randomizer.py
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@@ -117,9 +117,9 @@ class LoraRandomizerNode:
# Normalize path separators
lora_path = lora_path.replace("/", os.sep)
# Extract strengths
model_strength = lora.get("strength", 1.0)
clip_strength = lora.get("clipStrength", model_strength)
# Extract strengths (convert to float to prevent string subtraction errors)
model_strength = float(lora.get("strength", 1.0))
clip_strength = float(lora.get("clipStrength", model_strength))
lora_stack.append((lora_path, model_strength, clip_strength))
@@ -142,24 +142,24 @@ class LoraRandomizerNode:
"""
from ..services.lora_service import LoraService
# Parse randomizer settings
# Parse randomizer settings (convert numeric values to float to prevent type errors)
count_mode = randomizer_config.get("count_mode", "range")
count_fixed = randomizer_config.get("count_fixed", 5)
count_min = randomizer_config.get("count_min", 3)
count_max = randomizer_config.get("count_max", 7)
model_strength_min = randomizer_config.get("model_strength_min", 0.0)
model_strength_max = randomizer_config.get("model_strength_max", 1.0)
count_fixed = int(randomizer_config.get("count_fixed", 5))
count_min = int(randomizer_config.get("count_min", 3))
count_max = int(randomizer_config.get("count_max", 7))
model_strength_min = float(randomizer_config.get("model_strength_min", 0.0))
model_strength_max = float(randomizer_config.get("model_strength_max", 1.0))
use_same_clip_strength = randomizer_config.get("use_same_clip_strength", True)
clip_strength_min = randomizer_config.get("clip_strength_min", 0.0)
clip_strength_max = randomizer_config.get("clip_strength_max", 1.0)
clip_strength_min = float(randomizer_config.get("clip_strength_min", 0.0))
clip_strength_max = float(randomizer_config.get("clip_strength_max", 1.0))
use_recommended_strength = randomizer_config.get(
"use_recommended_strength", False
)
recommended_strength_scale_min = randomizer_config.get(
"recommended_strength_scale_min", 0.5
recommended_strength_scale_min = float(
randomizer_config.get("recommended_strength_scale_min", 0.5)
)
recommended_strength_scale_max = randomizer_config.get(
"recommended_strength_scale_max", 1.0
recommended_strength_scale_max = float(
randomizer_config.get("recommended_strength_scale_max", 1.0)
)
# Extract locked LoRAs from input