Instructions to use cuongdev/pxhien-4-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien-4-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/pxhien-4-4", 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 Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from cuongdev/pxhien-4-4: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/cuongdev/pxhien-4-4/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://cuongdev/pxhien-4-4/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/cuongdev/pxhien-4-4/resolve/main/unet/diffusion_pytorch_model.bin
3.46 GB
- Xet hash:
- af49e61ea473895bb71ee3c8c235229be695bf18714a072173d87d362e793eb5
- Size of remote file:
- 3.46 GB
- SHA256:
- df739ffbf3e3cd7a2b2f9dc375dfa1e40437f5a8f95b4745c62796727fae15dc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.