Instructions to use tzvc/sd-bib with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tzvc/sd-bib with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tzvc/sd-bib", dtype=torch.bfloat16, device_map="cuda") prompt = "sdbib" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bc436ccc35f36eac4dd5f69b4b265c0d66947bc41c1685db9db2f7da04258ce4
- Size of remote file:
- 492 MB
- SHA256:
- 333131dd72f259dba1797ef310e576cbd9234e8a0b7c5be8178d9bfd87c0641f
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