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: 243 Bytes
e064301 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_class_name": "ConditionEncoder",
"_crystal_diffusers_version": "0.1.0",
"_diffusers_version": "0.33.1",
"bias_t_emb": 0.001,
"condition": {},
"condition_dim": 512,
"dropout": 0.1,
"scale_t_emb": 0.001,
"t_emb_dim": 512
}
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