Instructions to use cuongdev/pxhien-n2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/pxhien-n2 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-n2", torch_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:
- 7f4ef1413fb52b9d09cb07c03cb83026330f7b3edd638a377af8e824624e43e3
- Size of remote file:
- 681 MB
- SHA256:
- e66d1a9d02766f83aa501b4ef86ce54ecd684f883ec772db1048ca65c7f06209
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