Instructions to use B0rghese/Huke_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B0rghese/Huke_Style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B0rghese/Huke_Style") prompt = "UNICODE\u0000\u0000H\u0000u\u0000k\u00003\u0000S\u0000t\u0000y\u0000l\u00003\u0000,\u0000 \u0000h\u0000u\u0000k\u00003\u0000s\u0000t\u0000y\u0000l\u00003\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 523 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/0J1TP1DSZ54FHCW9VB1624G1S0.jpeg
text: "UNICODE\0\0H\0u\0k\03\0S\0t\0y\0l\03\0,\0 \0h\0u\0k\03\0s\0t\0y\0l\03\0"
base_model: krea/Krea-2-Raw
instance_prompt: Huk3Styl3
---
# Huke Style - Melancholic Industrial Anime
<Gallery />
## Trigger words
You should use `Huk3Styl3` to trigger the image generation.
## Download model
[Download](/B0rghese/Huke_Style/tree/main) them in the Files & versions tab.
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