Instructions to use cuongdev/5-nguoi-6000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/5-nguoi-6000 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/5-nguoi-6000", 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:
- 3010c5a11668bb5b988313f3bcfd7c8f84f6216ada75e12c055a95445e541423
- Size of remote file:
- 681 MB
- SHA256:
- 2abe40e5357d2646d43c304b60bb95073c03002c26ab72208e6225b7905f0a9e
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