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--- |
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license: openrail++ |
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language: |
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- en |
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tags: |
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- 'stablediffusion ' |
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- openvino |
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- ADD |
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--- |
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The SDXL-Lightning model is converted to OpenVINO for fast inference on CPU. |
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Original Model : [SDXL-Lightning](https://huggingface.co/ByteDance/SDXL-Lightning) |
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You can use this model with [FastSD CPU](https://github.com/rupeshs/fastsdcpu). |
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To run the model yourself, you can leverage the 🧨 Diffusers library: |
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1. Install the dependencies: |
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``` |
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pip install optimum-intel openvino diffusers onnx |
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``` |
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2. Run the model: |
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```py |
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from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionXLPipeline |
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pipeline = OVStableDiffusionXLPipeline.from_pretrained( |
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"rupeshs/SDXL-Lightning-2steps-openvino-int8", |
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ov_config={"CACHE_DIR": ""}, |
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) |
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prompt = "A dolphin leaps through the waves, set against a backdrop of bright blues and teal hues" |
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images = pipeline( |
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prompt=prompt, |
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width=768, |
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height=768, |
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num_inference_steps=2, |
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guidance_scale=1.0, |
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).images |
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images[0].save("out_image.png") |
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``` |
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