Instructions to use borgsid/borgsidlukee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use borgsid/borgsidlukee with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("borgsid/borgsidlukee", 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:
- 8207fc88cdaab2da4fc1505b4aa8c747c4d7e0267c50cb3e7ef157a97f0c666e
- Size of remote file:
- 681 MB
- SHA256:
- 68fe96b87e82c22bc51d207a2835d9369e0615d06dd864016b134bad6bad40dd
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