Instructions to use cuongdev/test-2-nguoi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-2-nguoi 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/test-2-nguoi", 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:
- b3d35fb547b5ed7a76155a176ccc060dbe37807e6aaa3abddb841364a22ec0d3
- Size of remote file:
- 681 MB
- SHA256:
- a9af403dd1befbe01fe54104d453617d816ebc0f8c4608052bb4354b6f4f2a54
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