Instructions to use FQiao/GenStereo-sd2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FQiao/GenStereo-sd2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FQiao/GenStereo-sd2.1", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Improve model card: add library_name, full abstract, and usage example
#1
by nielsr HF Staff - opened
This PR enhances the model card by:
- Adding the
library_name: diffusersto the metadata, which enables the Hugging Face Inference API widget and improved discoverability. - Including the full abstract of the paper for comprehensive understanding.
- Integrating the detailed "How to use" section with code examples, making it easier for users to get started with the model.
- Adding the "Train", "Citation", and "Acknowledgements" sections for complete documentation.
FQiao changed pull request status to merged