LoRA Iterator — ComfyUI Custom Node

A ComfyUI node that automatically steps through every LoRA in a directory (or subdirectory) on each generation run, so you can test all your LoRAs without touching the graph between runs.

https://www.theoath.studio/projects/comfy-lora-iterator

Install

cp ComfyUI/custom_nodes/
git clone [email protected]:OATH-Studio/comfy-LoRA-iterator.git
# restart ComfyUI

The node appears in the node browser under loaders/lora → LoRA Iterator.

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Inputs

| Input | Type | Description | |-------|------|-------------| | model | MODEL | Base model passthrough | | clip | CLIP | Base CLIP passthrough | | directory | Dropdown | [All] or a specific subdirectory of your loras folder | | lora_name | Dropdown | The currently selected LoRA (relative path) | | strength_model | Float slider | LoRA strength applied to the diffusion model | | strength_clip | Float slider | LoRA strength applied to the CLIP encoder | | control_after_generate | Dropdown | How to advance the LoRA selection after each run |

Outputs

| Output | Type | Description | |--------|------|-------------| | model | MODEL | Patched model with LoRA applied | | clip | CLIP | Patched CLIP with LoRA applied | | lora_name | STRING | Name of the LoRA used this run (useful for filename nodes) | | current_index | INT | Zero-based index of the current LoRA | | total_loras | INT | Total LoRAs in the selected directory |

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control_after_generate

This is the key feature. After each generation completes, the node advances its internal LoRA selection according to the chosen mode:

| Mode | Behaviour | |------|-----------| | fixed | Always uses the same LoRA — nothing changes between runs | | increment | Moves forward one LoRA each run. Wraps back to 0 after the last one | | decrement | Moves backward one LoRA each run. Wraps to the last one after index 0 | | randomize | Picks a random LoRA from the list each run |

Example: You have 8 LoRAs in the zimage directory. Set directory to zimage and control_after_generate to increment. Queue 8 runs — each generation automatically uses the next LoRA with zero manual intervention.

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Directory organisation

The directory dropdown shows [All] plus every immediate subdirectory inside your ComfyUI loras folder. This lets you group LoRAs by the model family they were trained on:

ComfyUI/models/loras/
    zimage/               ← appears as "zimage" in dropdown
        AnimeMix.safetensors
        Realism.safetensors
    sdxl/                 ← appears as "sdxl" in dropdown
        portrait.safetensors
    my_lora.safetensors   ← included when "[All]" is selected

Selecting zimage means only LoRAs trained for that model family are shown and iterated — preventing mismatched LoRA/model combinations.

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Multiple instances

Each node instance tracks its own LoRA position independently using ComfyUI's internal unique_id. Two LoRA Iterator nodes in the same graph increment through their respective directories separately.

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Typical workflow

CheckpointLoader → LoRA Iterator → KSampler → VAEDecode → SaveImage
                        ↑
                  set control_after_generate = increment
                  queue N runs (one per LoRA)

Wire lora_name output into a filename prefix node to embed the LoRA name in every saved image automatically.