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---
license: mit
base_model:
- SimianLuo/LCM_Dreamshaper_v7
base_model_relation: quantized
---
# LCM_Dreamshaper_v7-int8-ov
* Model creator: [SimianLuo](https://huggingface.co/SimianLuo)
* Original model: [SimianLuo/LCM_Dreamshaper_v7](https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7)
## Description
This is [SimianLuo/LCM_Dreamshaper_v7](https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8 by [NNCF](https://github.com/openvinotoolkit/nncf).
## Quantization Parameters
Weight compression was performed using `nncf.compress_weights` with the following parameters:
* mode: **INT8_ASYM**
* ratio: **1.0**
For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2024/openvino-workflow/model-optimization-guide/weight-compression.html).
## Compatibility
The provided OpenVINO™ IR model is compatible with:
* OpenVINO version 2024.2.0 and higher
* Optimum Intel 1.17.0 and higher
## Running Model Inference
1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
```
pip install optimum[openvino]
```
2. Run model inference:
```
from optimum.intel import OVLatentConsistencyModelPipeline
model_id = "OpenVINO/LCM_Dreamshaper_v7-int8-ov"
pipeline = OVLatentConsistencyModelPipeline.from_pretrained(model_id)
prompt = "sailing ship in storm by Rembrandt"
images = pipeline(prompt, num_inference_steps=4).images
```
## Usage examples
* [OpenVINO notebooks](https://github.com/openvinotoolkit/openvino_notebooks):
- [Latent Consistency Model using Optimum-Intel OpenVINO](https://github.com/openvinotoolkit/openvino_notebooks/blob/latest/notebooks/latent-consistency-models-image-generation/latent-consistency-models-optimum-demo.ipynb)
* [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai):
- [C++ image generation pipeline](https://github.com/openvinotoolkit/openvino.genai/tree/master/image_generation/lcm_dreamshaper_v7/cpp)
## Legal information
The original model is distributed under [mit](https://choosealicense.com/licenses/mit/) license. More details can be found in [SimianLuo/LCM_Dreamshaper_v7](https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7).
## Disclaimer
Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights. |