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:
- bbab4351c4b3d848f23e61b3b9fc6f84691336841444a3610baacdb1225de564
- Size of remote file:
- 6.48 GB
- SHA256:
- e4d7340ed9a2ebc8ae16fb7a42a36f79a7a9ec93fbf225e2d08660979090d66b
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