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:
- 6c529341d9f652465c7d3ba3f290c95c03c26f971c03918971dfb4c7a10ce47f
- Size of remote file:
- 2.88 kB
- SHA256:
- cc01d6588fbe7002358e297dc306b0723187d11e62ac17e8a7af0e08892c3d42
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