Instructions to use suvadityamuk/Pixal3D-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/Pixal3D-diffusers-3d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("suvadityamuk/Pixal3D-diffusers-3d", 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 suvadityamuk/Pixal3D-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 148 MB
-
https://huggingface.co/suvadityamuk/Pixal3D-diffusers-3d/resolve/main/sparse_structure_decoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://suvadityamuk/Pixal3D-diffusers-3d/sparse_structure_decoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/suvadityamuk/Pixal3D-diffusers-3d/resolve/main/sparse_structure_decoder/diffusion_pytorch_model.safetensors
148 MB
- Xet hash:
- 0640e710687df6ffba9378692e7deec548b0a4f2c24ee75ebe3ef72253363c41
- Size of remote file:
- 148 MB
- SHA256:
- a2a1adb7835891d88acaed60b0087276124884c2030ace8ef1b55c43a8d3e571
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.