Instructions to use briannlongzhao/church_custom_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/church_custom_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("briannlongzhao/church_custom_diffusion", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of <church>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c5104c6a53ba1ff50f80c72b1ecd24d91cc597c1dbbd2a037f89c5626ec6f9bd
- Size of remote file:
- 102 MB
- SHA256:
- 4171c1b1c5e875992cf55b4bebaed9807fa8932bf0eccbe24a2b89f0b57c7b3b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.