Image-to-3D
Diffusers
Safetensors
TripoSplatImageTo3DPipeline
diffusers-3d
triposplat
3d
gaussian-splatting
Instructions to use suvadityamuk/TripoSplat-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/TripoSplat-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/TripoSplat-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 decoder/diffusion_pytorch_model.safetensors from suvadityamuk/TripoSplat-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 576 MB
-
https://huggingface.co/suvadityamuk/TripoSplat-diffusers-3d/resolve/main/decoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://suvadityamuk/TripoSplat-diffusers-3d/decoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/suvadityamuk/TripoSplat-diffusers-3d/resolve/main/decoder/diffusion_pytorch_model.safetensors
576 MB
- Xet hash:
- f59b51660cdc0901738c129314423693b18289bbcab72dca99bf6e8e5a1b4ebc
- Size of remote file:
- 576 MB
- SHA256:
- 1aeedcebcc55362241d2dd5c60462dd150bd2621b0832492f62ea2af2fc8e5ed
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