Instructions to use YiYiXu/shap-e-img2img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YiYiXu/shap-e-img2img 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("YiYiXu/shap-e-img2img", 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:
- e34acab81126e4f0f974eeaaa7d86bf68c66ac6d04406ccfa844f60abff0306b
- Size of remote file:
- 905 MB
- SHA256:
- 134b0ea32cf69fdb86f4303b6b1910fb5c391e7158a0dd89c91dbe037ebcc67c
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