Create README.md

README.md

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