Instructions to use PublicPrompts/PrintDesign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PublicPrompts/PrintDesign with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PublicPrompts/PrintDesign", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 89dfe0a955119d32485cac443c384628135fbdb0c7b5c3c398b7b8a79165686a
- Size of remote file:
- 492 MB
- SHA256:
- 40325f6f3bcdaf9306d504d9a49a731bb0db714b0afe1710eac102f45fc19aa7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.