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:
- fbd58a342bda986b6b1055bd26fea98e4aab64cff7d41d4dec0c5488dde531eb
- Size of remote file:
- 2.58 GB
- SHA256:
- b6f2d1503435276d16a2b2d6b72b4bf8dc067e6d0f36b69783f0e010360c4537
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