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Download README.md from AIFunOver/sdxl-turbo-openvino-8bit: direct link, hf CLI and curl.
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https://huggingface.co/AIFunOver/sdxl-turbo-openvino-8bit/resolve/4182b2ec0bf66d2c0fd0ef9cfedf130ea2ada4ed/README.md
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hf download hf://AIFunOver/sdxl-turbo-openvino-8bit@4182b2ec0bf66d2c0fd0ef9cfedf130ea2ada4ed/README.md
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curl -L -o README.md https://huggingface.co/AIFunOver/sdxl-turbo-openvino-8bit/resolve/4182b2ec0bf66d2c0fd0ef9cfedf130ea2ada4ed/README.md
930 Bytes
metadata
base_model: stabilityai/sdxl-turbo
license: other
license_name: sai-nc-community
license_link: https://huggingface.co/stabilityai/sdxl-turbo/blob/main/LICENSE.md
pipeline_tag: text-to-image
tags:
- openvino
- nncf
- 8-bit
inference: false
base_model_relation: quantized
This model is a quantized version of stabilityai/sdxl-turbo and is converted to the OpenVINO format. This model was obtained via the nncf-quantization space with optimum-intel.
First make sure you have optimum-intel installed:
pip install optimum[openvino]
To load your model you can do as follows:
from optimum.intel import OVStableDiffusionXLPipeline
model_id = "AIFunOver/sdxl-turbo-openvino-8bit"
model = OVStableDiffusionXLPipeline.from_pretrained(model_id)