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:
- ff7b1f094bc4e082bedd01fff7b3cd69c3e96c3b03a313d1433c63689ab52994
- Size of remote file:
- 221 MB
- SHA256:
- 96d71d2d13cb853f00f4f382fc1b338649ff458ee791c862443842a2223e7547
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