Instructions to use cuongdev/pxhien4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien4 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/pxhien4", 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:
- a65c342599e9379387c0556cd2bd61e6ad2c4bbbf7a661eac29a6d97fb35ddc8
- Size of remote file:
- 3.46 GB
- SHA256:
- c1d52979e130a2dacaf800a6ba2c53d93fc27aeceaa86b16df7abec7540abe42
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