LCM Dreamshaper v7 latent-consistency text-to-image model, a build of SimianLuo/LCM_Dreamshaper_v7 converted to OpenVINO™ IR with FP16 weights. It generates an image from a text prompt in a few denoising steps. Model weights are hosted in the source repository OpenVINO/LCM_Dreamshaper_v7-fp16-ov.

How to Use

Install required packages:

pip install optimum[openvino]

Run model inference:

from optimum.intel.openvino import OVDiffusionPipeline

model_id = "OpenVINO/LCM_Dreamshaper_v7-fp16-ov"
pipeline = OVDiffusionPipeline.from_pretrained(model_id)

prompt = "sailing ship in storm by Rembrandt"
images = pipeline(prompt, num_inference_steps=4).images

Legal information

The original model is distributed under the MIT license. More details can be found in SimianLuo/LCM_Dreamshaper_v7.

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