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.
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.
⚙️ 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
🎯 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.
⚡ 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.
📌 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.
