Instructions to use hjgp/pbkit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/pbkit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hjgp/pbkit", torch_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:
- 95860a99796b26a038a464099fdaf41495f38778c967e3ec54a7776ba6ed4014
- Size of remote file:
- 2.78 GB
- SHA256:
- 3662f9a2daae1d5a1299b1bd27aa90b92872f9000984567015d93596fb4abefa
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