Instructions to use briannlongzhao/fine_dining_custom_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/fine_dining_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/fine_dining_custom_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of <new1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 58309acfe7ca24bcc536b4dadad4744fac5aef1f7b474ff9c36b0980d9e0ba70
- Size of remote file:
- 102 MB
- SHA256:
- 6726777941e53342ddbf7260eba6abb651ea0dd83f3d18339ea9f71541778589
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