Instructions to use suvadityamuk/TRELLIS-text-large-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/TRELLIS-text-large-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/TRELLIS-text-large-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] - Trellis
How to use suvadityamuk/TRELLIS-text-large-diffusers-3d with Trellis:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 280 Bytes
f8d1e3e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"_class_name": "TrellisSparseStructureDecoder",
"_diffusers_version": "0.41.0.dev0",
"channels": [
512,
128,
32
],
"latent_channels": 8,
"norm_type": "layer",
"num_res_blocks": 2,
"num_res_blocks_middle": 2,
"out_channels": 1,
"use_fp16": true
}
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