import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("xpanceo-team/mattergen-base", torch_dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Usage example
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from pymatgen.core import Structure, Lattice
import torch
from crystal_diffusers.pipelines.mattergen import MatterGenPipeline
pipeline = MatterGenPipeline.from_pretrained("xpanceo-team/mattergen-base", use_safetensors=False)
Setting parameters
device = "cuda"
batch_size = 2
random_seed = 42
# deterministic generation
generator = torch.Generator(device=device).manual_seed(random_seed)
Generation
structures = pipeline(
batch_size=batch_size,
device=device,
generator=generator
)
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