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:
- 4009f25c711d5344fa3754aebe6e9b1712004f4c052846c9e2c8a1f3618d9b9f
- Size of remote file:
- 1.46 GB
- SHA256:
- b48311c8677c1e4ea72d1558c3f7c6954638493196a46e1173dc993788d2228c
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