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
Added o to the link so it works correctly (#1)
Browse files- Added o to the link so it works correctly (c0a06f2a5a1fb26f603d1e0aefacb88ec1154a0a)
Co-authored-by: Robert <Okachobe@users.noreply.huggingface.co>
README.md
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Olive Optimized DirectML Onnx model for https://huggingface.co/stabilityai/sdxl-
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Licensed for Non Commercial Use Only. Contact Stabilty AI for a commercial License!
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Olive Optimized DirectML Onnx model for https://huggingface.co/stabilityai/sdxl-turbo
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Licensed for Non Commercial Use Only. Contact Stabilty AI for a commercial License!
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