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 gaussian_decoder/diffusion_pytorch_model.safetensors from suvadityamuk/sam-3d-objects-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 171 MB
-
https://huggingface.co/suvadityamuk/sam-3d-objects-diffusers-3d/resolve/main/gaussian_decoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://suvadityamuk/sam-3d-objects-diffusers-3d/gaussian_decoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/suvadityamuk/sam-3d-objects-diffusers-3d/resolve/main/gaussian_decoder/diffusion_pytorch_model.safetensors
171 MB
- Xet hash:
- 487ffd1081b4cbfe715bdd89cf8df11576b015559cfcdf14845ef27c02860a94
- Size of remote file:
- 171 MB
- SHA256:
- c32191644c937838c463011660320ee7b6f34c48f92b4e6bbed8fad6488b6178
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