Instructions to use hjgp/basekitXL08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hjgp/basekitXL08 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/basekitXL08", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 0d1e271422fdf12931ad7b6d23c02f4bbfe59986e0f5d3d5c28260fccab4f763
- Size of remote file:
- 492 MB
- SHA256:
- 6c2e49d8dfc47e89378f1e36f41879d15a5664457d3c7e335cdb057f26e77697
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