Instructions to use casiatao/LPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use casiatao/LPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("casiatao/LPO", 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
- Draw Things
- DiffusionBee
Add pipeline tag, library name and Github README content
#1
by nielsr HF Staff - opened
This PR adds the pipeline_tag and library_name metadata, and includes the content of the Github README in the model card to provide more context.
casiatao changed pull request status to merged