Instructions to use suvadityamuk/TripoSR-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/TripoSR-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/TripoSR-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
File size: 201 Bytes
89abb2b | 1 2 3 4 5 6 7 8 9 10 | {
"_class_name": "TripoSRTriplaneDecoder",
"_diffusers_version": "0.41.0.dev0",
"density_bias": -1.0,
"hidden_size": 64,
"num_hidden_layers": 9,
"radius": 0.87,
"triplane_channels": 40
}
|