RefControl Flux Kontext – Reference Canny LoRA
Trained Words
About this model
📝 Short description
A LoRA for Flux Kontext Dev that fuses a reference image (left) with a canny edge map (right).
It preserves identity and style from the reference while following the edges and outlines from the control.
Trigger word: refcontrolcanny
Workflow
Demo video
hugging face
📊 Examples
ReferenceResult
📖 Extended description
This LoRA was primarily trained on humans and characters, but it works with objects and scenes as well.
The main purpose is to preserve identity — facial features, clothing, style — from the reference image, while using the canny edge map to define contours, composition, and layout.
⚙️ How to use
Concatenate two images side by side:
Left: reference image (person, character, or object).
Right: canny edges (line structure).
Add the trigger word
refcontrolcannyin your prompt.Adjust LoRA weight (recommended 0.8–1.0) depending on how strictly you want to follow edges.
✅ Example prompt
refcontrolcanny, change canny edges to photo with reference from left
🎯 What it does
Preserves style and identity of the reference.
Uses canny edges to control structure, outline, and composition.
Produces consistent results across different poses and layouts.
⚡ Tips
Works best if the canny map captures clean edges with minimal noise.
📌 Use cases
Character consistency in illustrations and comics.
Stylized redraws of objects with sharp outlines.
Scene composition based on silhouettes.
Rapid prototyping of layouts and storyboards.
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