Instructions to use brianwithapp/cffcp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use brianwithapp/cffcp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("brianwithapp/cffcp", dtype=torch.bfloat16, device_map="cuda") prompt = "cffcp" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0861ebaacace15724ce34bee1d47a61456f007641d48d1a6fa3866c43147869c
- Size of remote file:
- 2.58 GB
- SHA256:
- 67c69c31fcf0551483337ac3c54fc03c551593ef2aa58645011f75b72f366bfb
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