Instructions to use suvadityamuk/idol-diffusers-3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use suvadityamuk/idol-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/idol-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 transformer/config.json from suvadityamuk/idol-diffusers-3d: direct link, hf CLI and curl.
- Browser
- Download file 337 Bytes
-
https://huggingface.co/suvadityamuk/idol-diffusers-3d/resolve/main/transformer/config.json
- Command line
-
hf download hf://suvadityamuk/idol-diffusers-3d/transformer/config.json
-
curl -L -o config.json https://huggingface.co/suvadityamuk/idol-diffusers-3d/resolve/main/transformer/config.json
337 Bytes
| { | |
| "_class_name": "TripoSplatTransformerModel", | |
| "_diffusers_version": "0.41.0.dev0", | |
| "camera_channels": 5, | |
| "cross_attention_dim": 1280, | |
| "cross_attention_dim_2": 128, | |
| "in_channels": 16, | |
| "mlp_ratio": 4, | |
| "num_attention_heads": 16, | |
| "num_latent_tokens": 8192, | |
| "num_layers": 24, | |
| "num_refiner_layers": 2, | |
| "width": 1024 | |
| } | |