Instructions to use DwanZhang/SePPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DwanZhang/SePPO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DwanZhang/SePPO", 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, link to paper
#1
by nielsr HF Staff - opened
This PR ensures the model can be found from https://huggingface.co/models?pipeline_tag=text-to-image.
nielsr changed pull request title from Add pipeline tag to Add pipeline tag, link to paper
DwanZhang changed pull request status to merged