ComfyUI-LoRA-Optimizer

BuildAutoTunerPythonEvaluator

Builds a Python evaluator spec for LoRA AutoTuner so candidate ranking can incorporate prompt/reference scoring from external code.

LoRA Optimizer · entrées 0 · paramètres 5 · sortie 1

key_a

Description compacte indisponible pour ce nœud.

LoadTunerData

Loads saved AutoTuner results from disk so they can be fed to Merge Selector without re-running the tuner.

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LoRAAutoTuner

Automatically sweeps all merge parameters and ranks

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LoRAAutoTunerSettings

Runs an automatic parameter sweep to find the best merge settings for your LoRA stack.

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LoRACombinationGenerator

Generates all LoRA combinations for AutoTuner dataset

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LoRACompatibilityAnalyzer

Analyzes LoRA compatibility and suggests merge groups. No merge is performed.

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LoRAConflictEditor

Analyzes LoRA conflicts and lets you control per-LoRA conflict modes and merge strategy. Connect between a LoRA Stack and the LoRA Optimizer.

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LoRAEstimator

Predict a merge config via k-NN retrieval over the HF community cache. Runs Phase 1 (shared with AutoTuner) to build a combo feature vector, retrieves similar past merges, aggregates their winning configs, and emits a ``tuner_data`` struct the LoRA Optimizer consumes via ``settings_source=from_tuner_data`` — skipping Phase 2 grid search.

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LoRAExtractFromModel

Extracts a LoRA that was baked into a finetuned model by comparing it against

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LoRAInlineChainOptions

Per-LoRA options for the LoRA Optimizer (Inline Chain) node.

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LoRAMergeFormula

Attaches a merge formula to the LoRA stack to control hierarchical merge order

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LoRAMergeSelector

Applies a specific merge configuration from LoRA AutoTuner results.

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LoRAMergeSettings

Shared settings that apply to both Optimizer and AutoTuner modes.

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LoRAMetadataReader

Reads embedded metadata (prompt, description, merge info) from LoRAs in the stack. The stack passes through unchanged.

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LoRAOptimizer

Auto-analyzes a LoRA stack and selects heuristic merge strategies per weight group. Outputs merged model + analysis report. Best for style/character LoRAs — apply edit, distillation (LCM/Turbo/Hyper), or DPO LoRAs via a standard Load LoRA node instead.

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LoRAOptimizerInline

Drop-in filter: place after a chain of regular Load LoRA nodes.

entrées 4 · paramètres 2

LoRAOptimizerSettings

Advanced settings for fine-tuning how LoRAs are merged.

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LoRAOptimizerSimple

Simplified LoRA Optimizer — merges a LoRA stack with good defaults.

entrées 5 · paramètres 2

LoRAStack

Adds a LoRA to the stack for use with LoRA Optimizer

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LoRAStackDynamic

Dynamic LoRA stacker with adjustable slot count and optional per-LoRA CLIP strength

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MergedLoRAToHook

Wraps merged LoRA patches as a conditioning hook (HOOKS).

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MergedLoRAToWanVideo

Bridges merged LoRA patches from the LoRA Optimizer to a WanVideo wrapper model.

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per_prefix

Description compacte indisponible pour ce nœud.

SaveMergedLoRA

Saves merged LoRA data as a standalone .safetensors file that can be loaded by any standard LoRA loader.

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SaveTunerData

Saves AutoTuner results to a .tuner file so they can be reloaded later without re-running the tuner.

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smooth_slerp_gate

Description compacte indisponible pour ce nœud.

WanVideoLoRAOptimizer

WanVideo LoRA Optimizer — merges multiple WanVideo LoRAs using

LoRA Optimizer · sorties 3