Instructions to use louisecanham/charcoal-drawer-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use louisecanham/charcoal-drawer-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("louisecanham/charcoal-drawer-lora") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Charcoal-drawer-lora

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Model description
lcnhm โ charcoal line LoRA
A style LoRA trained on 22 of my own charcoal drawings: contour figures, gestural studies and hand-drawn lettering.
- Base model: FLUX.1 [dev]
- Trainer: fal.ai Flux LoRA Fast Training, style mode, 1,000 steps
- Trigger word: lcnhm
- Recommended scale: 1.3
Example prompt: a continuous contour line drawing of a fox, sparse black line on off-white paper, in the style of lcnhm
Trained for LABASAD Master in Generative AI for Creatives, Assignment 3.
Licence: CC BY-NC 4.0. Not for commercial use.

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Model tree for louisecanham/charcoal-drawer-lora
Base model
black-forest-labs/FLUX.1-dev