Depth Reference Fusion LoRA

📝 Short description

A LoRA for Flux Kontext Dev 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: redepthkontext

Demo Video

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Example 2

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Example 3

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📖 Extended description

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

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⚙️ How to use

• Concatenate two images side by side:

  • Left: reference image (person or object)

  • Right: depth map (grayscale or silhouette)

• Add the trigger word redepthkontext in your prompt.

✅ Example prompt

redepthkontext change depth map to photo

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🎯 What it does

• Preserves character or object identity across generations.

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

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

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⚡ Tips

• Works better if the depth map is not drastically different in object scale.

• Can be combined with text prompts for additional background/environment control.

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📌 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.