Instructions to use Wusul/aperturescience with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wusul/aperturescience with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wusul/aperturescience", 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:
- db97b260a268b35cd6b7086f29a3697cd02f3c7ba4374e9ee38b44b15df4d4f8
- Size of remote file:
- 3.46 GB
- SHA256:
- 00a54c386085fed223b13852a279a65788c12dfd85ec696ba7e550bb0d1e60e6
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