Instructions to use chenwang/physctrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chenwang/physctrl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("chenwang/physctrl", 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:
- dace8896fc11237bae57bf91454e2988c461ae4b66b5674991c476b222ca12af
- Size of remote file:
- 64.4 MB
- SHA256:
- 0cbff608a1ebe9cf141a244e6b30f5e2296bdf157477f9af8a2a46bb0dbf89cf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.