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:
- 57364ab49b9a8bcbb647bdcda469e04b5bb122915a211a0a445c99c19a9eab51
- Size of remote file:
- 437 MB
- SHA256:
- ab6722b9c6e7a2e35abdb15b0d997b876f6f94e8e8d57cbaff4c9402e9f14239
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