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
Download decoder/config.json from suvadityamuk/TripoSR-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 201 Bytes
-
https://huggingface.co/suvadityamuk/TripoSR-diffusers-3d/resolve/main/decoder/config.json
- Command line
-
hf download hf://suvadityamuk/TripoSR-diffusers-3d/decoder/config.json
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curl -L -o config.json https://huggingface.co/suvadityamuk/TripoSR-diffusers-3d/resolve/main/decoder/config.json
201 Bytes
| { | |
| "_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 | |
| } | |