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:
- a1b03bce5df6e192ef6765e30019152ab77032dd3f8a8e02e7e810b3adceecb5
- Size of remote file:
- 3.46 GB
- SHA256:
- bf010eb0f072c8111898947671dca32e383bc97129405ce1f98a9fac8b9fb7d7
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