Instructions to use Arrexel/pattern-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Arrexel/pattern-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("Arrexel/pattern-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
- Draw Things
- DiffusionBee

- Xet hash:
- 34d2c9b4c687000993d894f421c94055ff5c0c741fdbfd0124109180a2c0a09f
- Size of remote file:
- 6.57 MB
- SHA256:
- 512811c515e1d232aef378276d93e2b7cc5aa4c1ac2a44afbe689063c51da681
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