Instructions to use xpanceo-team/mattergen-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xpanceo-team/mattergen-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xpanceo-team/mattergen-base", 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: 545 Bytes
e064301 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | {
"_class_name": "MatterGenPipeline",
"_diffusers_version": "0.33.1",
"atomic_numbers_scheduler": [
"crystal_diffusers",
"D3PMScheduler"
],
"cell_scheduler": [
"crystal_diffusers",
"VariancePreservingScheduler"
],
"condition_encoder": [
"crystal_diffusers",
"ConditionEncoder"
],
"frac_coords_scheduler": [
"crystal_diffusers",
"VarianceExplodingScheduler"
],
"gnn": [
"crystal_diffusers",
"GemNetTWrapper"
],
"score_model": [
"crystal_diffusers",
"MatterGenModel"
]
}
|