Instructions to use sd-dreambooth-library/Punk-VisualKei with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/Punk-VisualKei with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/Punk-VisualKei", dtype=torch.bfloat16, device_map="cuda") prompt = "vskeei1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Punk and Visual Kei Dreambooth model trained with Hugging Face Dreambooth Training Space with the v1-5 base model
Hugging Face Dreambooth Training Space with the v1-5 base model
You run your new concept via diffusers Colab Notebook for Inference.
VAE is not required but is fun.
I am not responsible for what you make.
If this model bites you call the CIA.
Codeword:
vskeei1 (use that on your prompt)
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