Instructions to use cuongdev/3nguoi-4000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/3nguoi-4000 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/3nguoi-4000", 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:
- 21e31085b519d4eba7d7aad5af0febd6bf883cbb8fdb84ae727af1d90bed3afc
- Size of remote file:
- 681 MB
- SHA256:
- e15b23384bc4a039fff7a9430cb184396f5690f6326f201707457c0bb2846d9d
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