Instructions to use cuongdev/pxhien3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien3 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/pxhien3", 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:
- 38a060d727c457f29012b8936430ec32e1ede557b3113f63ad4b42cde545c77a
- Size of remote file:
- 3.46 GB
- SHA256:
- 344a7f7ec8f19ba5fd1cf23fb0ca29518c2dc2de4a0d964bd077dc325d775d33
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