Instructions to use madebyollin/taef1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use madebyollin/taef1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("madebyollin/taef1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc277fefe1412843ac011ba22139eb6fb9a03ba384ee39831998b7c26826dafc
- Size of remote file:
- 9.88 MB
- SHA256:
- d18b0ce87399010d6156f2e0f008e651941f1174a3c2f6794e16909ef31ba590
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