
## 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)

{"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true}
diffusers text-to-image base_model:runwayml/stable-diffusion-v1-5 license:creativeml-openrail-m has_space diffusers:OVStableDiffusionPipeline region:us