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
| { | |
| "_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 | |
| } | |