Instructions to use Jacklu0831/procreate-diffusion-one-piece with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jacklu0831/procreate-diffusion-one-piece with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jacklu0831/procreate-diffusion-one-piece", 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:
- 9433cfc858b441f8759cce8eb72d982cf4020d1ab61db61652aad5151a01cc5b
- Size of remote file:
- 3.44 GB
- SHA256:
- e90492ea72d5c30157dd631a167ff99cfad38dbbd90e08a80b66d1e0eb485b08
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