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--- |
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library_name: diffusers |
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base_model: runwayml/stable-diffusion-v1-5 |
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tags: |
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- text-to-image |
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license: creativeml-openrail-m |
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inference: true |
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--- |
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## yujiepan/dreamshaper-8-lcm-openvino-w8a8 |
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This model: |
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1. applies [latent-consistency/lcm-lora-sdv1-5](https://huggingface.co./latent-consistency/lcm-lora-sdv1-5) |
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on base model [Lykon/dreamshaper-8](https://huggingface.co./Lykon/dreamshaper-8); |
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2. conducts W8A8 post-training quantization on unet model; |
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3. converts other models (text encoder & vae) in FP16; |
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5. and is finally converted as OpenVINO model. |
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#### Usage |
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```python |
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from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionPipeline |
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pipeline = OVStableDiffusionPipeline.from_pretrained( |
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'yujiepan/dreamshaper-8-lcm-openvino-w8a8', |
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device='CPU', |
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) |
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prompt = 'cute dog typing at a laptop, 4k, details' |
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images = pipeline(prompt=prompt, num_inference_steps=8, guidance_scale=1.0).images |
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``` |
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