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
File size: 435 Bytes
5d90070 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"_class_name": "TripoSplatGaussianDecoder",
"_diffusers_version": "0.41.0.dev0",
"filter_kernel_size": 0.0009,
"gaussians_per_token": 32,
"latent_channels": 16,
"mlp_ratio": 4,
"num_attention_heads": 16,
"num_gaussian_layers": 16,
"num_octree_layers": 4,
"octree_depth": 8,
"offset_extent": 1.5,
"offset_scale": 0.05,
"opacity_bias": 0.1,
"rotation_scale": 0.1,
"scaling_bias": 0.004,
"width": 1024
}
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