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:
- da9b684e72f4314dfdf1c49fce4109dc3b1a84b2803358322ae0631f689328f2
- Size of remote file:
- 681 MB
- SHA256:
- 8e1b749ca8f0a7083fe42be0017f551ba4d9e3f433df057d2a32f62397572be1
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