Instructions to use BiliSakura/ProMoE-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/ProMoE-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/ProMoE-diffusers", 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:
- b8c980664754e23e10e541adc21b8eb1faf5870797bced4fd82c4e40b1d8421f
- Size of remote file:
- 1.2 GB
- SHA256:
- 08f42b814b6cb9b8948665fc996bbb559e6d55b0961253573a8f0d6e4c64fdcd
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