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 image_encoder/model.safetensors from suvadityamuk/sam-3d-objects-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 1.22 GB
-
https://huggingface.co/suvadityamuk/sam-3d-objects-diffusers-3d/resolve/main/image_encoder/model.safetensors
- Command line
-
hf download hf://suvadityamuk/sam-3d-objects-diffusers-3d/image_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/suvadityamuk/sam-3d-objects-diffusers-3d/resolve/main/image_encoder/model.safetensors
1.22 GB
- Xet hash:
- 28a967b22265d71cff3d7c40d19c067aa9a91a677d39e9cdea42a484c9e6d663
- Size of remote file:
- 1.22 GB
- SHA256:
- edccedab2c4e164e80833096de89a32a6e8d7365870499a066a61dbc8894b42b
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