Instructions to use ezlee258258/Inversion-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ezlee258258/Inversion-DPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ezlee258258/Inversion-DPO", 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
Improve model card: Add pipeline tag and prominent paper/code links
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Adding
pipeline_tag: text-to-imageas a top-level metadata field, ensuring the model appears correctly in Hub filters and has the appropriate "Use in Diffusers" widget. - Adding direct links to the Hugging Face Paper page for Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models and the official GitHub repository at the top of the model card for better discoverability.
ezlee258258 changed pull request status to merged