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+ ---
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+ base_model: stabilityai/stable-diffusion-3.5-large-turbo
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+ language:
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+ - en
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+ license: other
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+ license_name: stabilityai-ai-community
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+ license_link: LICENSE.md
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+ pipeline_tag: text-to-image
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+ tags:
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+ - text-to-image
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+ - stable-diffusion
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+ - diffusers
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+ - openvino
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+ - nncf
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+ - 8-bit
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+ inference: true
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+ extra_gated_prompt: By clicking "Agree", you agree to the [License Agreement](https://huggingface.co/stabilityai/stable-diffusion-3.5-large-turbo/blob/main/LICENSE.md)
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+ and acknowledge Stability AI's [Privacy Policy](https://stability.ai/privacy-policy).
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+ extra_gated_fields:
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+ Name: text
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+ Email: text
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+ Country: country
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+ Organization or Affiliation: text
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+ Receive email updates and promotions on Stability AI products, services, and research?:
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+ type: select
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+ options:
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+ - 'Yes'
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+ - 'No'
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+ What do you intend to use the model for?:
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+ type: select
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+ options:
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+ - Research
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+ - Personal use
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+ - Creative Professional
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+ - Startup
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+ - Enterprise
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+ I agree to the License Agreement and acknowledge Stability AI's Privacy Policy: checkbox
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+ base_model_relation: quantized
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+ ---
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+
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+ This model is a quantized version of [`stabilityai/stable-diffusion-3.5-large-turbo`](https://huggingface.co/stabilityai/stable-diffusion-3.5-large-turbo) and is converted to the OpenVINO format. This model was obtained via the [nncf-quantization](https://huggingface.co/spaces/echarlaix/nncf-quantization) space with [optimum-intel](https://github.com/huggingface/optimum-intel).
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+ First make sure you have `optimum-intel` installed:
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+ ```bash
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+ pip install optimum[openvino]
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+ ```
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+ To load your model you can do as follows:
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+ ```python
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+ from optimum.intel import OVPipelineForText2Image
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+ model_id = "AIFunOver/stable-diffusion-3.5-large-turbo-openvino-8bit"
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+ model = OVPipelineForText2Image.from_pretrained(model_id)
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+ ```