Instructions to use hjgp/basekitXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/basekitXL 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/basekitXL", 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:
- 105b203763e8ab61acabdfe7c29be5a5ae8cc071c322ef36397582b1edd2a982
- Size of remote file:
- 492 MB
- SHA256:
- 1a4a13b5987c4ecfab7efe0fe2fc92a183d4c6a23b9f599186d5d9eebad9c443
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