Instructions to use xiangjx/MuPaD-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xiangjx/MuPaD-512 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xiangjx/MuPaD-512", 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 fig2.png from xiangjx/MuPaD-512: direct link, hf CLI and curl.
- Browser
- Download file 1.13 MB
-
https://huggingface.co/xiangjx/MuPaD-512/resolve/main/fig2.png
- Command line
-
hf download hf://xiangjx/MuPaD-512/fig2.png
-
curl -L -o fig2.png https://huggingface.co/xiangjx/MuPaD-512/resolve/main/fig2.png
1.13 MB

- Xet hash:
- 2a0440db302a647484fe3cfbe03417aa1c1d037abdbea9126c2662102fb2432c
- Size of remote file:
- 1.13 MB
- SHA256:
- 050b0ebaa5806583fe05876dd578ea5edb3b03a9770bf8b15d8b770f2cbd236d
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