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https://github.com/willmiao/ComfyUI-Lora-Manager.git
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feat: add "Respect Recommended Strength" feature to LoRA Randomizer
Add support for respecting recommended strength values from LoRA usage_tips when randomizing LoRA selection. Features: - New toggle setting to enable/disable recommended strength respect (default off) - Scale range slider (0-2, default 0.5-1.0) to adjust recommended values - Uses recommended strength × random(scale) when feature enabled - Fallbacks to original Model/Clip Strength range when no recommendation exists - Clip strength recommendations only apply when using Custom Range mode Backend changes: - Parse usage_tips JSON string to extract strength/clipStrength - Apply scale factor to recommended values during randomization - Pass new parameters through API route and node Frontend changes: - Update RandomizerConfig type with new properties - Add new UI section with toggle and dual-range slider - Wire up state management and event handlers - No layout shift (removed description text) Tests: - Add tests for enabled/disabled recommended strength in API routes - Add test verifying config passed to service - All existing tests pass Build: Include compiled Vue widgets
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@@ -225,6 +225,13 @@ class LoraRoutes(BaseModelRoutes):
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clip_strength_max = float(json_data.get("clip_strength_max", 1.0))
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locked_loras = json_data.get("locked_loras", [])
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pool_config = json_data.get("pool_config")
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use_recommended_strength = json_data.get("use_recommended_strength", False)
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recommended_strength_scale_min = float(
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json_data.get("recommended_strength_scale_min", 0.5)
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)
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recommended_strength_scale_max = float(
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json_data.get("recommended_strength_scale_max", 1.0)
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)
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# Determine target count
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if count_min is not None and count_max is not None:
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@@ -260,6 +267,9 @@ class LoraRoutes(BaseModelRoutes):
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clip_strength_max=clip_strength_max,
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locked_loras=locked_loras,
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pool_config=pool_config,
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use_recommended_strength=use_recommended_strength,
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recommended_strength_scale_min=recommended_strength_scale_min,
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recommended_strength_scale_max=recommended_strength_scale_max,
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)
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return web.json_response(
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