Instructions to use cuongdev/test-3-nguoi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-3-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-3-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:
- 967e2bc8e948cf9f5debf4b2010cf7a3336d59d11765d42e31b65a1c54fb1754
- Size of remote file:
- 3.46 GB
- SHA256:
- 9e0c2e65970bcf869722e484a240216840314e05226e1cc26e237cd449ae4c18
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