Instructions to use suvadityamuk/TRELLIS-image-large-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/TRELLIS-image-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-image-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-image-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
suvadityamuk HF Staff
Convert microsoft/TRELLIS-image-large with diffusers-3d 0.1.0.dev0
5e1711c verified Download sparse_structure_decoder/config.json from suvadityamuk/TRELLIS-image-large-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 280 Bytes
-
https://huggingface.co/suvadityamuk/TRELLIS-image-large-diffusers-3d/resolve/main/sparse_structure_decoder/config.json
- Command line
-
hf download hf://suvadityamuk/TRELLIS-image-large-diffusers-3d/sparse_structure_decoder/config.json
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curl -L -o config.json https://huggingface.co/suvadityamuk/TRELLIS-image-large-diffusers-3d/resolve/main/sparse_structure_decoder/config.json
280 Bytes
| { | |
| "_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 | |
| } | |