Introduction of refcontrol-flux-kontext-reference-canny-lora
Model Details of refcontrol-flux-kontext-reference-canny-lora
RefControl Flux Kontext – Reference Canny LoRA
📝 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.
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
refcontrolcanny
in 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.
Runs of thedeoxen refcontrol-flux-kontext-reference-canny-lora on huggingface.co
30
Total runs
0
24-hour runs
0
3-day runs
6
7-day runs
9
30-day runs
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