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RefControl FLUX.2 Klein 4B – Reference Depth LoRA

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Updated: May 28, 2026

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Type

LoRA

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Published

May 28, 2026

Base Model

Flux.2 Klein 4B-base

Hash

AutoV2
65EC4C71FA
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thedeoxen

RefControl FLUX.2 Klein 4B - Reference Depth LoRA

📝 Short description

A LoRA for FLUX.2 Klein 4B Base that fuses a reference image (left) with a depth map (right).
It preserves identity and style from the reference while following the pose and structure from the depth map.
Workflow: https://civitai.com/models/2657247/workflow-refcontrol-flux2-klein-4b-reference-depth-lora

Trigger word: refcontrol


📊 Examples

📖 Extended description

This LoRA was primarily trained on humans, but it also works with objects and stylized characters.
Its main purpose is to preserve identity - facial features, clothing, style, or object characteristics - from the reference image, while adapting the subject to the pose and composition defined by the depth map.

Part of the RefControl family: reference + control fusion for consistent, controllable generation on FLUX.2 Klein 4B Base.


⚙️ How to use

  1. Use first image as depth reference, second image input.

  2. Add the trigger word refcontrol in your prompt.

  3. Adjust LoRA weight (recommended 0.8-1.0) depending on how strongly you want to preserve identity.

ComfyUI requirenments

For extracting depth you need to install nodes with depth estimation in workflow used:

https://github.com/Fannovel16/comfyui_controlnet_aux

Base model

Use with black-forest-labs/FLUX.2-klein-base-4B.
The undistilled Base variant is intended for LoRA training and custom pipelines (~50 inference steps, guidance_scale ~4.0).

✅ Example prompt

refcontrol

🎯 What it does

  • Preserves character or object identity across generations.

  • Embeds the subject into a new pose or scene defined by the depth map.

  • Works best when the depth map has similar proportions and scale to the reference.


⚡ Tips

  • Best results when the depth map is not drastically different in object scale from the reference.

  • Combine with text prompts to refine background, lighting, or mood.

  • Can be combined with other RefControl LoRAs (pose, lineart, canny) on compatible pipelines for multi-constraint generation.


📌 Use cases

  • Human portraits in different poses.

  • Consistent character design across multiple scenes.

  • Object transformations (cars, furniture, props) with depth-guided placement.

  • Storyboarding, comics, or animation frame generation.


📦 Files