Instructions to use briannlongzhao/cat_custom_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/cat_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/cat_custom_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of <cat>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a341759459a2b261a2db34c151cd0836cdbfff045c77f59a249bf4dcd90e5c33
- Size of remote file:
- 102 MB
- SHA256:
- fc8bdb2d78019241199c426eb346e71ba28b982d2a1c4e09da5f345778d88e66
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