How to develop a Style Injection Model using diffusion-based latent encoding

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Can i know How to develop a Style Injection Model using diffusion-based latent encoding.
5 days ago in Generative AI by Ashutosh
• 29,450 points
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1 answer to this question.

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You can develop a Style Injection Model using diffusion-based latent encoding by integrating a style vector into the latent space before each diffusion step to control output appearance.

Here is the code snippet below:

In the above code we are using the following key points:

  • StyleInjector module that maps style vectors to latent space.

  • Latent manipulation before the diffusion step to inject style dynamically.

  • Integration with pre-trained diffusion components (VAE and UNet).

Hence, this approach enables fine-grained style modulation directly within the latent diffusion process for customizable outputs.
answered 2 days ago by minato

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