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sd-1.5-lcm-openvino/README.md

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+---
+license: mit
+pipeline_tag: text-to-image
+---
+# SD v1-5 Latent Consistency Models (LCM) Model Card
+The original source of this model is : [SimianLuo/LCM_Dreamshaper_v7](https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7). 
+This model is just optimized and converted to Intermediate Representation (IR) using OpenVino's Model Optimizer  to run on Intel's Hardware - CPU, GPU.
+
+Intended to be used with:
+- GIMP plugin [openvino-ai-plugins-gimp](https://github.com/intel/openvino-ai-plugins-gimp.git)
+
+###  Latent Consistency Models
+
+Official Repository of the paper: *[Latent Consistency Models](https://arxiv.org/abs/2310.04378)*.
+
+Project Page: https://latent-consistency-models.github.io
+
+### BibTeX
+
+```bibtex
+@misc{luo2023latent,
+      title={Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference}, 
+      author={Simian Luo and Yiqin Tan and Longbo Huang and Jian Li and Hang Zhao},
+      year={2023},
+      eprint={2310.04378},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```
+### Intel’s Human Rights Disclaimer:
+Intel is committed to respecting human rights and avoiding complicity in human rights abuses. 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 a violation of an internationally recognized human right. 

sd-1.5-lcm-openvino/special_tokens_map.json

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sd-1.5-lcm-openvino/text_encoder.bin

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sd-1.5-lcm-openvino/tokenizer_config.json

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sd-1.5-lcm-openvino/unet.bin

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sd-1.5-lcm-openvino/unet_dynamic.bin

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sd-1.5-lcm-openvino/vae_decoder.bin

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