Instructions to use OzzyGT/Pixal3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OzzyGT/Pixal3D 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/Pixal3D", 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: 402 Bytes
e26b07e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"_class_name": "Pixal3DTransformer3DModel",
"_diffusers_version": "0.41.0.dev0",
"cond_channels": 1024,
"dense": true,
"in_channels": 8,
"mlp_ratio": 5.3334,
"model_channels": 1536,
"num_blocks": 30,
"num_heads": 12,
"out_channels": 8,
"proj_in_channels": null,
"qk_rms_norm": true,
"qk_rms_norm_cross": true,
"resolution": 16,
"rope_freq": [
1.0,
10000.0
]
}
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