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@@ -31,7 +31,13 @@ Employing a knowledge distillation strategy, Segmind-Vega leverages the teaching
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  Special thanks to the HF team 🤗, especially [Sayak](https://huggingface.co/sayakpaul), [Patrick](https://github.com/patrickvonplaten), and [Poli](https://huggingface.co/multimodalart), for their collaboration and guidance on this work.
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- ## Image Comparison (SDXL-1.0 vs Segmind-Vega)
 
 
 
 
 
 
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  ## Usage:
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  This model can be used via the 🧨 Diffusers library.
 
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  Special thanks to the HF team 🤗, especially [Sayak](https://huggingface.co/sayakpaul), [Patrick](https://github.com/patrickvonplaten), and [Poli](https://huggingface.co/multimodalart), for their collaboration and guidance on this work.
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+ ## Image Comparison (Segmind-Vega vs SDXL)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62039c2d91d53938a643317d/7vsFKKg5xAqvEEBtZf85q.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62039c2d91d53938a643317d/gDFFMfaCUnntO8JfxhC__.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62039c2d91d53938a643317d/etJZIk7MSpFLKAQ2IvQ23.png)
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  ## Usage:
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  This model can be used via the 🧨 Diffusers library.