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
Download score_model/diffusion_pytorch_model.bin from xpanceo-team/mattergen-base: direct link, hf CLI and curl.
- Browser
- Download file 209 kB
-
https://huggingface.co/xpanceo-team/mattergen-base/resolve/main/score_model/diffusion_pytorch_model.bin
- Command line
-
hf download hf://xpanceo-team/mattergen-base/score_model/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/xpanceo-team/mattergen-base/resolve/main/score_model/diffusion_pytorch_model.bin
209 kB
- Xet hash:
- eff53cfec8fe1ab8047188e64514a3b8a81a7d29931804275445477536d42046
- Size of remote file:
- 209 kB
- SHA256:
- a12a5e0a0ed8413706fcfeb3ed8bff1bbfee36f84f8e1ea0b2b16a2c62330a87
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