Instructions to use OzzyGT/idol_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/idol_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OzzyGT/idol_diffusers", 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 gaussian_decoder/config.json from OzzyGT/idol_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 462 Bytes
-
https://huggingface.co/OzzyGT/idol_diffusers/resolve/main/gaussian_decoder/config.json
- Command line
-
hf download hf://OzzyGT/idol_diffusers/gaussian_decoder/config.json
-
curl -L -o config.json https://huggingface.co/OzzyGT/idol_diffusers/resolve/main/gaussian_decoder/config.json
462 Bytes
| { | |
| "_class_name": "IdolGaussianDecoderModel", | |
| "_diffusers_version": "0.42.0.dev0", | |
| "features_dc_lr": 1.0, | |
| "filter_kernel_size": 0.0009, | |
| "gaussians_per_point": 32, | |
| "hidden_size": 1024, | |
| "in_channels": 3, | |
| "latent_channels": 16, | |
| "mlp_ratio": 4.0, | |
| "num_attention_heads": 16, | |
| "num_layers": 16, | |
| "opacity_bias": 0.1, | |
| "opacity_lr": 1.0, | |
| "perturb_size": 1.5, | |
| "rotation_lr": 0.1, | |
| "scaling_bias": 0.004, | |
| "scaling_lr": 1.0, | |
| "xyz_lr": 1.0 | |
| } | |