Instructions to use duben/taras with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use duben/taras 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/taras", dtype=torch.bfloat16, device_map="cuda") prompt = "taratolik" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 20d529175a825e4dd05742af50e2f2d74e56481317cd6512d5bd38b660ec3714
- Size of remote file:
- 2.58 GB
- SHA256:
- 6f964eade6a6a882330504bf3efc8acca309c7fe94db5f579f64cc0e8b7908f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.