thedeoxen/refcontrol-FLUX.2-klein-4B-reference-depth-lora

🤗 Hugging Face 来源image-to-imageapache-2.0激活 4B107 MBother✓ 16 个校验和今天更新
需要做种者 →

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.

Trigger word: refcontrol


📊 Examples

Reference Depth Result

📖 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