Instructions to use cuongdev/tiendanmoi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tiendanmoi 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/tiendanmoi", 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:
- 760afeddfbe963866ea181abdac1fbbca10eca63cf640d1af9cf18e10b18349d
- Size of remote file:
- 3.46 GB
- SHA256:
- 7e1251453d88c2914934ae144e314e8d63a5aef93f59a4b60f3e9109c5a32f11
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