Instructions to use cuongdev/pxhien-v20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien-v20 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-v20", 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:
- 3428df1f2116052ff90ce8e895d0052ba4333335054bf41213a0a8785c4d3740
- Size of remote file:
- 681 MB
- SHA256:
- f8d68f90abd41b99b60e8c2941137f95cb8a7fd9292f6acb9d67f62b90b6648a
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