Instructions to use kxic/zero123-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kxic/zero123-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kxic/zero123-xl", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download unet/diffusion_pytorch_model.bin from kxic/zero123-xl: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/kxic/zero123-xl/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://kxic/zero123-xl/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/kxic/zero123-xl/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- ba3354f2413f2b57840cfc4d3377e8eb91316271c325aabf2d5f38b814a2f877
- Size of remote file:
- 3.44 GB
- SHA256:
- d61751bb4120edb02032895aacd8603dd3c7969844d6e9e3d9a2ccc4693b7688
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