Instructions to use suvadityamuk/sam-3d-objects-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/sam-3d-objects-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/sam-3d-objects-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_conditioner/diffusion_pytorch_model.safetensors from suvadityamuk/sam-3d-objects-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 103 MB
-
https://huggingface.co/suvadityamuk/sam-3d-objects-diffusers-3d/resolve/main/sparse_structure_conditioner/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://suvadityamuk/sam-3d-objects-diffusers-3d/sparse_structure_conditioner/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/suvadityamuk/sam-3d-objects-diffusers-3d/resolve/main/sparse_structure_conditioner/diffusion_pytorch_model.safetensors
103 MB
- Xet hash:
- 969db4bb30822198e180a6e77da80ce5f3be8a6ea5406ed2e58bca7abaddcada
- Size of remote file:
- 103 MB
- SHA256:
- 13dcd6bb9d71e96515e5e4ad2ee004d3dd807f35c07cd055d0407c2008ef20dc
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