Instructions to use cuongdev/test-moi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-moi 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-moi", 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:
- 5a1b87afd2773e49262c02be007f883dd24cbacd47f7028a95b14cfe6659bfb5
- Size of remote file:
- 2.61 GB
- SHA256:
- 174534174373eabba7bc424b23d0ab402735f3349ec74bcb5350945b14c74d62
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