Instructions to use mezerotm/facebase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mezerotm/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("mezerotm/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:
- 5d5ba06762a9918c4ac686c6079712e5b3422afbaecedb35e3491e8605020248
- Size of remote file:
- 134 Bytes
- SHA256:
- c9f012f347bfebea424ed93bcf6000dd060582f47f3befd417f91d9dfb0740d9
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