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:
- 53f8d643e2de5cba3d2eb81d2c701d256adb4ce8843524e80aea4e02e6e4fae5
- Size of remote file:
- 1.36 GB
- SHA256:
- d990b1e3a78bfd074660adbf90e0b4f4fe37255be1c103d4deaaa564e9c7b06d
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