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  inference: false
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- # Latent Consistency Model (LCM) LoRA: Segmind-Vega
 
 
 
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  Latent Consistency Model (LCM) LoRA was proposed in [LCM-LoRA: A universal Stable-Diffusion Acceleration Module](https://arxiv.org/abs/2311.05556)
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  by *Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu et al.*
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- It is a distilled consistency adapter for [`segmind/Segmind-Vega`]("https://huggingface.co/segmind/Segmind_Vega") that allows
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- to reduce the number of inference steps to only between **2 - 8 steps**.
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-
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  # Image comparison (Segmind-VegaRT vs SDXL-Turbo)
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62039c2d91d53938a643317d/AvzWnh6udMuFG5pfxydxT.png)
 
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+ # Segmind-VegaRT - Latent Consistency Model (LCM) LoRA of Segmind-Vega
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+
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+ Segmind-VegaRT a distilled consistency adapter for [`segmind/Segmind-Vega`]("https://huggingface.co/segmind/Segmind_Vega") that allows
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+ to reduce the number of inference steps to only between **2 - 8 steps**.
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  Latent Consistency Model (LCM) LoRA was proposed in [LCM-LoRA: A universal Stable-Diffusion Acceleration Module](https://arxiv.org/abs/2311.05556)
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  by *Simian Luo, Yiqin Tan, Suraj Patil, Daniel Gu et al.*
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  # Image comparison (Segmind-VegaRT vs SDXL-Turbo)
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  ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62039c2d91d53938a643317d/AvzWnh6udMuFG5pfxydxT.png)