Instructions to use PlixAI/BitDiffusionV0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PlixAI/BitDiffusionV0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PlixAI/BitDiffusionV0.1", dtype=torch.bfloat16, device_map="cuda") prompt = "Three cow grazing in a bay window" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- dc5b0acca166688c99b9327aa9e9f7ffe84ffbd33f94536bd3b3dc557fa95c16
- Size of remote file:
- 1.85 MB
- SHA256:
- bff860ceb0b2c42a5621d00c6ac2ed72ea15e39df29795bef47941767828d59a
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