README.md

---
license: mit
language:
- en
tags:
- 'openvino '
- text-to-image
pipeline_tag: text-to-image
---

## Model Descriptions:

This repo contains OpenVino model files for SimianLuo's LCM_Dreamshaper_v7 int8 quantized.
This 8 bit model is **1.4x** faster than `float32` model.

## Generation Results:

<p align="center">
    <img src="teaser-int8.jpg">
</p>

## Usage
You can try out model using [Fast SD CPU](https://github.com/rupeshs/fastsdcpu)

To run the model yourself, you can leverage the 🧨 Diffusers library:
1. Install the dependencies:
```
pip install optimum-intel openvino diffusers onnx
```
2. Run the model:
```py
from optimum.intel import OVLatentConsistencyModelPipeline

pipe = OVLatentConsistencyModelPipeline.from_pretrained(
    "rupeshs/LCM-dreamshaper-v7-openvino-int8",
    ov_config={"CACHE_DIR": ""},
)
prompt = "sailing ship in storm by Leonardo da Vinci"
images = pipe(
    prompt=prompt,
    width=512,
    height=512,
    num_inference_steps=4,
    guidance_scale=8.0,
).images
images[0].save("out_image.png")
```