Instructions to use cuongdev/pxhien1-1111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien1-1111 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/pxhien1-1111", 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
- Xet hash:
- bfde993c238c4f62b1898cfa7ec05bf3869a81b2c1f9fd12735dadd86726ae43
- Size of remote file:
- 681 MB
- SHA256:
- 2e56a3b6c5635fff173fc3f1568047c47d275601d607901b22e1735d8593300c
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