Instructions to use OzzyGT/Pixal3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/Pixal3D with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/Pixal3D", 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 sparse_structure_decoder/diffusion_pytorch_model.safetensors from OzzyGT/Pixal3D: direct link, hf CLI and curl.
- Browser
- Download file 148 MB
-
https://huggingface.co/OzzyGT/Pixal3D/resolve/main/sparse_structure_decoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://OzzyGT/Pixal3D/sparse_structure_decoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/OzzyGT/Pixal3D/resolve/main/sparse_structure_decoder/diffusion_pytorch_model.safetensors
148 MB
- Xet hash:
- 052c61f41d0d76fba17d3b302d7298e382eca1017111580d84d396ebb185e2bc
- Size of remote file:
- 148 MB
- SHA256:
- f538e5a9e923c7d6cf3bb56d111ae2838451335bbf43f4f4351c825dd9fe95f0
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