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RefControl Flux Kontext – Reference Canny LoRA

Updated: Aug 31, 2025

conceptcannyloratransferkontext

Download

2 variants available

Type

Checkpoint Trained

Stats

488

Reviews

Published

Aug 31, 2025

Base Model

Flux.1 Kontext

Hash

AutoV2
6AD9467AE7

Trigger Words

refcontrolcanny
default creator card background decoration

thedeoxen

The FLUX.1 [dev] Model is licensed by Black Forest Labs. Inc. under the FLUX.1 [dev] Non-Commercial License. Copyright Black Forest Labs. Inc.

IN NO EVENT SHALL BLACK FOREST LABS, INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF 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

ReferenceResultref1res1ref2res2ref3res3


📖 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

  1. Concatenate two images side by side:

    • Left: reference image (person, character, or object).

    • Right: canny edges (line structure).

  2. Add the trigger word refcontrolcanny in your prompt.

  3. 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.