π 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
π Examples
π 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 β facial features, clothing, style β from the reference image, while using the canny edge map to define contours, composition, and layout.
βοΈ 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 0.8β1.0) depending on how strictly you want to follow edges.
β Example prompt
refcontrolcanny, change canny edges to photo with reference from left
π― 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.
β‘ Tips
Works best if the canny map captures clean edges with minimal noise.
π 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.
Description
FAQ
Comments (8)
Confirmed. Does Not work. The workflow provided produces the two images side by side. The left image does not get fused in the canny edge image.
True. Sorry Theoden, appreciated idea but need more test. Try again!
same workflow for depth just change the lora to this one,check if the lora is correctly named and loaded.,
@LastDelivery4801226Β what are you saying?
nobody needs a workflkow were i have the end images only side by side!
@Mino96Β image concanteate.is the node ,if anyone wondering
2 Loras are included in the download section here, what is the difference?????
Not sure why two files, but they are the same.





