Instructions to use S1T4L/Zero123pp_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use S1T4L/Zero123pp_custom 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("S1T4L/Zero123pp_custom", 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
Download vae/diffusion_pytorch_model.bin from S1T4L/Zero123pp_custom: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/S1T4L/Zero123pp_custom/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://S1T4L/Zero123pp_custom/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/S1T4L/Zero123pp_custom/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- d58147e6bca0699a9f79361cf1178bc127909da5a348e5127b49ec0acbda6a46
- Size of remote file:
- 167 MB
- SHA256:
- 7cfdd672df17db3283633acb3721afc7735927293c2d3bd2bf64939a6dcd950e
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