Instructions to use softwareweaver/Sdxl-Turbo-Olive-Onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use softwareweaver/Sdxl-Turbo-Olive-Onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("softwareweaver/Sdxl-Turbo-Olive-Onnx", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6d2f9244ebea1443ca8acf313e1409a74a1701031e98f7bb3647a445aa773fdc
- Size of remote file:
- 1.25 MB
- SHA256:
- 295f2cb2c103504bd4e5a04aa50cd46dbba5b51a4a78af957d4b1d2722d9acfc
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