Instructions to use EnD-Diffusers/oldvisual-kei-part-two with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/oldvisual-kei-part-two with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/oldvisual-kei-part-two", dtype=torch.bfloat16, device_map="cuda") prompt = "vskiy1" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1b58e3e6ce5b0d70cf7c88b04c1fe8f106ce340bb22ee25d7d89c34d3be39d3e
- Size of remote file:
- 492 MB
- SHA256:
- c48104f501dc57504e1896dba53ae024a9eb379ae8bdabed89eb09d32710ee9c
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