Instructions to use FQiao/GenStereo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FQiao/GenStereo 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", 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
Add `library_name: diffusers` to metadata
#2
by nielsr HF Staff - opened
This PR improves the model card by adding library_name: diffusers to the metadata. This ensures better discoverability and allows the Hugging Face Hub to display a "Use in Diffusers" code snippet, enhancing user experience.
FQiao changed pull request status to merged