Instructions to use effdeeargh/facebase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use effdeeargh/facebase with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("effdeeargh/facebase", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b4bfe5195367e4e5421d4afc31475b9a65a63a86f04d724c1af1da99572f3f30
- Size of remote file:
- 134 Bytes
- SHA256:
- 808a7877672559d59948f0cd913dc86b74cff08cb6289a342fcec1ccf16ceb4f
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