Instructions to use cuongdev/pxhien-a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien-a 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-a", 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:
- 251e85a15816308bc7823417fe3e0e0abcb7dcb1e75db7496ff44960a380b5b7
- Size of remote file:
- 3.46 GB
- SHA256:
- 13d10322496ed9df3ab0d7be4726e0888c6f888906682aa6df4d056c9b56b9e9
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