Instructions to use Miical/pi05-libero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Miical/pi05-libero with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Miical/pi05-libero", 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:
- b3876dd6f9d7b694965eff0dfbc5c43c30cd6b6bdb159ceec9fa879460eb4cdb
- Size of remote file:
- 34.4 MB
- SHA256:
- 9d20a85d1cb83be179f5892faf2fdaf9044d94bbcbd668f4d03cecefd7789483
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