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
- Xet hash:
- 68560c7a41845a9bc4f89234ad4b38cb6bbdcdcbad26f1c40f00192d74021962
- Size of remote file:
- 1.27 kB
- SHA256:
- de47a502d93ab14fab8672569f2ae4701733e4cf80440aa06f794c9ce8bd1f64
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