Instructions to use collinhead/heathcliff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use collinhead/heathcliff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("collinhead/heathcliff", 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:
- 352267d898ec29fb9b0e9c21a2c0b24bf8e8248faa11f9f94f3f7d37461e24f6
- Size of remote file:
- 1.36 GB
- SHA256:
- 99bd7033fa30ae0d412d9806a02f02411bf021c1fa5b7abf15d43802a8338c1c
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