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:
- 29438fb20e8a9f3922cf3cc6dfa1307d6a1fb37e75d87505759811846bcc5e4a
- Size of remote file:
- 681 MB
- SHA256:
- 906396f3f3c728e8919b33c5fa0a414511c384f85031d4d1e6a68586d8e30455
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