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

- Xet hash:
- 91715111afc38a3cc50935e8ac5d26a9087fc182dd8da3f2b2542abe3be956c5
- Size of remote file:
- 7.39 MB
- SHA256:
- 9e3e410224a92ca9fcb3bffaf5f3fd8ffdaa8f970bfa192fe40c1ec9850d4f3a
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