Instructions to use michaelpiro1/Draft_drumsDiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use michaelpiro1/Draft_drumsDiff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("michaelpiro1/Draft_drumsDiff", 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
- Xet hash:
- e972d959274355ee9d440f1374d3e66513c2b23da74edb75e5f952582e96620e
- Size of remote file:
- 222 MB
- SHA256:
- 16e0c6c7c34e459c19500cc15cf538e6331db14969ea15917caa9b0966e44fd4
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