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SDXL-Turbo is a real-time synthesis model, derived from SDXL 1.0, and utilizes a training method called Adversarial Diffusion Distillation (ADD). It achieves high image quality within one to four sampling steps

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stabilityai/sdxl-turbo

This is an implementation of the stabilityai/sdxl-turbo as a Cog model. Cog packages machine learning models as standard containers.

First, download the pre-trained weights:

cog run script/download-weights

Then, you can run predictions:

cog predict -i prompt="21 years old girl,short cut,beauty,dusk,Ghibli style illustration"

Example:

"21 years old girl,short cut,beauty,dusk,Ghibli style illustration"

21 years old girl,short cut,beauty,dusk,Ghibli style illustration

Note:

The model is intended for research purposes only. Possible research areas and tasks include

  • Research on generative models.
  • Research on real-time applications of generative models.
  • Research on the impact of real-time generative models.
  • Safe deployment of models which have the potential to generate harmful content.
  • Probing and understanding the limitations and biases of generative models.
  • Generation of artworks and use in design and other artistic processes.
  • Applications in educational or creative tools.

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SDXL-Turbo is a real-time synthesis model, derived from SDXL 1.0, and utilizes a training method called Adversarial Diffusion Distillation (ADD). It achieves high image quality within one to four sampling steps

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