Instructions to use trucdz04/line_drawing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use trucdz04/line_drawing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shakker-Labs/FLUX.1-Kontext-dev-LoRA-Pixel-Style", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("trucdz04/line_drawing") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: >-
images/066b2bfc0ddf80e0c24ad838ac1fad86edab88f6001b46f1bf4f611a0ab878bb.webp
text: '-'
base_model: Shakker-Labs/FLUX.1-Kontext-dev-LoRA-Pixel-Style
instance_prompt: null
license: apache-2.0
Line drawing to realistic Chinese style refrigerator magnet

- Prompt
- -
Download model
Download them in the Files & versions tab.