Instructions to use duben/yeah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use duben/yeah with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("duben/yeah", dtype=torch.bfloat16, device_map="cuda") prompt = "a man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f808b40d7825a386e59c83b2ea81370e2ec6292cd45fd2ba8fae06e22232b447
- Size of remote file:
- 1.36 GB
- SHA256:
- a9cfc98c1b18432d044bb79fa62d6afee4eee46942a07ea0ed4f6ff9be6017aa
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