Instructions to use openai/shap-e-img2img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openai/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("openai/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:
- a7f5387d17ad2ce7cf54ba777b011b0f5be0703c3632160b911e340cee499031
- Size of remote file:
- 905 MB
- SHA256:
- 2b63c2b52fbff7cc2c0b88b196f169e8adbcc2c298cadab30afe63c8a7241a05
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