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:
- 425fb607cd7432b08402f9256d5bb24050e17fa6d396d8280b2797beab196c2d
- Size of remote file:
- 1.46 GB
- SHA256:
- a9f5ec943e2d9d5bc5d12dedcc0d9a35d24bec8c73eaf771a5ccd5dfd1900323
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