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:
- 7e9ff3f7209daedcc1ecf9794e2b0ea72bf04d9f24ea7ccbb19f61546a07d7bb
- Size of remote file:
- 1.8 MB
- SHA256:
- fccacacabf378397fa57c67476a94a3d30a89f974af17c8af0d950e3e0638246
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