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:
- 711d274aa93b7f6860802cd3ac2389adab6446f4aea4074b17048ae17a8efb68
- Size of remote file:
- 1.36 GB
- SHA256:
- 37d8a03a11bb743a7d837ddd67539921c243837b96234633a18ff4ac8c18c835
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