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
File size: 462 Bytes
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"_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
}
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