Instructions to use ZicAsakura/Jungkook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ZicAsakura/Jungkook 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("ZicAsakura/Jungkook") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Jungkook

- Prompt
- -

- Prompt
- -
Model description
Отличная модель от меня
Trigger words
You should use Jungkook to trigger the image generation.
You should use JK to trigger the image generation.
You should use NV to trigger the image generation.
You should use Jeon Jungkook to trigger the image generation.
You should use kook to trigger the image generation.
You should use kooki to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for ZicAsakura/Jungkook
Base model
black-forest-labs/FLUX.1-dev