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license: mit

LCM_Dreamshaper_v7-int8-ov

Description

This is SimianLuo/LCM_Dreamshaper_v7 model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to INT8 by 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.

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 integration with the OpenVINO backend:
pip install optimum[openvino]
  1. 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

Legal information

The original model is distributed under mit license. More details can be found in 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. 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.