Instructions to use thedeoxen/refcontrol-flux-kontext-reference-canny-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thedeoxen/refcontrol-flux-kontext-reference-canny-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("thedeoxen/refcontrol-flux-kontext-reference-canny-lora") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
File size: 2,696 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
base_model: black-forest-labs/FLUX.1-Kontext-dev
instance_prompt: null
license: apache-2.0
pipeline_tag: image-to-image
---
# RefControl Flux Kontext β Reference Canny LoRA
## 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`
[Demo video](https://youtu.be/T0IH0jT2h8M)
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## π Examples
| Reference | Result |
|-----------|--------|
|  |  |
|  |  |
|  |  |
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## 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.
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## βοΈ 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 **0.8β1.0**) depending on how strictly you want to follow edges.
### β
Example prompt
refcontrolcanny, change canny edges to photo with reference from left
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## 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.
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## β‘ Tips
- Works best if the canny map captures **clean edges** with minimal noise.
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## 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.
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