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", 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:
- ffcd3683a5ce3933e7ee38ced82f6ca81116dee8acc9fb0a17f89a495aa0cdb8
- Size of remote file:
- 10.3 GB
- SHA256:
- d2cbe600e5b721cc12d7e878524924ef11dc72242d9b8c56dc90bbbd3141e269
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