Flux LoRA Model Cascade

Category: ⚡FluxReactor / Model Loader
Node Name: Flux_LoRA_Model_Cas
Author: solongeran_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.

🔗 Example Use Case

graph TD;
    A[Checkpoint Loader] --> B[Flux LoRA Model Cascade];
    B --> C[Prompt Conditioning];
    C --> D[KSampler / Output];

This node does not override the base model. It layers selected LoRA influences cleanly into your generation pipeline.

🧠 Tips for Advanced Users

Combine lightweight LoRA parts for granular style control.
Use low strength values for subtle, non-invasive influences.
Use as a testing tool for LoRA development (e.g. loading part2, part3 automatically).

📁 LoRA Folder Structure Example

/loras/
 ├── comic_filter.safetensors
 ├── comic_filter2.safetensors
 ├── comic_filter3.safetensors
 └── glassy_touch.safetensors

If comic_filter is selected, all its numbered parts will be applied in order.

🔒 Integrity & Security

The node includes an internal signature check (do_nothing() function) to ensure that it has not been altered. This is a simple runtime self-check designed to maintain operational trust and prevent execution under tampered conditions.

🧬 Outputs

✅ Updated MODEL and CLIP objects
📝 Log string with applied LoRAs and strengths

✅ Perfect for:

Dynamic workflows without model merging
Testing new LoRA fragments quickly
Creating custom model themes using small LoRA modules
Keeping your generation stack clean and modular