Instructions to use Huage001/URAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Huage001/URAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Huage001/URAE", 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 missing metadata: library_name and pipeline_tag
#1
by nielsr HF Staff - opened
This PR adds the missing library_name and pipeline_tag metadata to the model card. The library_name is set to diffusers as indicated by the code examples and imports. The pipeline_tag is set to text-to-image, reflecting the model's functionality. It also points to the paper.
Huage001 changed pull request status to merged