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README.md
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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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| Model | Params / M |
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|----------------------------------------------------------------------------|------------|
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| [lcm-lora-sdv1-5](https://huggingface.co/latent-consistency/lcm-lora-sdv1-5) | 67.5 |
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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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# 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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![image/png](https://cdn-uploads.huggingface.co/production/uploads/62039c2d91d53938a643317d/BMbs5oUWIO9fFQQgah_OR.png)
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/62039c2d91d53938a643317d/9DlECXpJNrR3rEFWYbNZK.png)
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| Model | Params / M |
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|----------------------------------------------------------------------------|------------|
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| [lcm-lora-sdv1-5](https://huggingface.co/latent-consistency/lcm-lora-sdv1-5) | 67.5 |
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