Instructions to use cuongdev/pxhien-4-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien-4-4 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-4-4", 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:
- 4c998960b45d70e75c8f2da8a8c479f596a8761c36d21b6ccb21a582dc7c4a59
- Size of remote file:
- 681 MB
- SHA256:
- cab726efac32e395cf55a2a6e4e2c4729d28a5050cd4a26dc30f21ee0e0f173d
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