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:
- f107a2a0f1907a4289a57434319b6b8a7ece40edaa55d58ae104c071fe790a34
- Size of remote file:
- 3.46 GB
- SHA256:
- 24a061e6bedaf287ce99d6a02946b57d5786b92a18d2fc0483258dfb6390fe48
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.