Instructions to use proxima/halloween_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use proxima/halloween_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("proxima/halloween_diffusion", 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:
- 5a13ed90e6634cb3b49bdb2e3201910a229d3408cc859dc1413df22d5e423898
- Size of remote file:
- 3.44 GB
- SHA256:
- 5fb238ed3afc35225634bfd797739a9157e36b537ac857642bb721af650229b8
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