Instructions to use Miayan/project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Miayan/project with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Miayan/project", 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
- Xet hash:
- 8bc7fc6fcb7b915bd326f934a5fb0737334f356ad5db2353cb4663ff92ee76e2
- Size of remote file:
- 6.41 GB
- SHA256:
- 84d6fb106da0a4ba9289e8d1d1587cdf00ec752be1f364b18d9949d2c82df59f
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