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:
- 947d79545d9df43397f9e141a70392e5cb25f609fba6a415d75c307fb5aff9e3
- Size of remote file:
- 135 Bytes
- SHA256:
- 934efffc3808ad12e03bf9dec28622d841800b657171c4404439a0a3a0186612
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