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
- Xet hash:
- 6020d207cfabe4ea9b93479d6502ad814d5493df620a6aa1097a2819ee54be6d
- Size of remote file:
- 492 MB
- SHA256:
- fb15fcf042f69dc5ff35ff63d6bb44a919cab1c786d42052982d0b38c0438f3f
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