Instructions to use ModelsLab/zero123plus-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ModelsLab/zero123plus-v1.1 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("ModelsLab/zero123plus-v1.1", 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
- Xet hash:
- 844a082125809f3cae624c705e40f4db85c19eaa5e5340453398bc6dd5943d0e
- Size of remote file:
- 1.73 GB
- SHA256:
- d5dce4ff236a33f9038605fa66b8d9366803ecfc1e896c6fbd9350d9f36c0f11
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