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
Download checkpoints/cogshader5B/vae/diffusion_pytorch_model.safetensors from chenwang/physctrl: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/chenwang/physctrl/resolve/main/checkpoints/cogshader5B/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://chenwang/physctrl/checkpoints/cogshader5B/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/chenwang/physctrl/resolve/main/checkpoints/cogshader5B/vae/diffusion_pytorch_model.safetensors
431 MB
- Xet hash:
- 5212c5ff97d5ce209ed896cd056d28fa8fb85c5a626218058b1691243cce2d69
- Size of remote file:
- 431 MB
- SHA256:
- bd47d57ad948ff80da0af0cb2e4dcdef65073aba59bccfd383ada9a7d1c02024
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