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:
- 64dfc486e943997d3fa285c93ff0054144ad7f303fdcc188def5d6a0ee183d46
- Size of remote file:
- 10.2 GB
- SHA256:
- 8bf58d7d4ed04f015c6b79ea275e55580290644e929fb992081a0ce88cb134b2
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