Instructions to use plasmo/zombie-vector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plasmo/zombie-vector with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("plasmo/zombie-vector", dtype=torch.bfloat16, device_map="cuda") prompt = "zombie_vector " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9c586ba59294dca819491768885d2fe020e80e1eab46910c2f43fd55b58b41d1
- Size of remote file:
- 492 MB
- SHA256:
- 6a45cad18c64530fa91250075da5b6b9f430951c386e1031dcfd2c7d15cd3696
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