Instructions to use Jacklu0831/procreate-diffusion-burberry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jacklu0831/procreate-diffusion-burberry 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-burberry", 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:
- f5fe3614226f92c65930e95d30c4c46d7985e5c5d451353211266201d9947f92
- Size of remote file:
- 3.44 GB
- SHA256:
- 3a63be1a5babf6477f3c1d4658ba791247d8d167024ffa84c54f1904ec542bb2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.