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Flux LoRA Model Cascade
Category: ⚡FluxReactor / Model Loader
Node Name: Flux_LoRA_Model_Cas
Author: solongeron_54

🧩 Purpose
The Flux LoRA Model Cascade node introduces a new intermediate workflow layer between base model loading and LoRA injection. It enables structured and modular application of one or more LoRA files—including automatically chained parts (lora2.safetensors, lora3.safetensors, etc.)—without requiring merge operations.

✨ Key Features
⚙️ Cascade Loader
Automatically detects and loads chained LoRA files (LoRA, LoRA2, LoRA3, etc.) if they exist in the same folder.

🎛️ Independent Weight Control
Apply up to three LoRA modules simultaneously, each with an individual strength slider.

🚫 No Merge Required
LoRAs are applied in-place without altering the base model or writing new files—preserving performance and flexibility.

🔀 Modular Micro-LoRA Design
Ideal for small, theme-based LoRA modules ("mini flux models") used for specific workflows, styles, or custom experiments.

🧪 Workflow Integrator
Designed as a mid-point node—plug it in between your base model loader and any prompt-related or inference nodes.

🛡️ Safety Mechanism
Includes a lightweight runtime integrity check to prevent unexpected tampering or misuse.

flux-cascade-conditioning-nodes.zip

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