How to Implement a custom noise scheduler for a diffusion-based image generator

Question

Can you explian to me with the help of code and examples that How to Implement a custom noise scheduler for a diffusion-based image generator

Answer 1

You can implement a custom noise scheduler for a diffusion-based image generator by defining a new beta schedule and integrating it into the diffusion process.

Here is the code snippet below:

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

• A linear schedule of beta values to control the noise level across timesteps.

• Computation of cumulative products of alphas for use during forward and reverse diffusion.

• A simple callable method to retrieve alpha values at any timestep.

Hence, defining a custom scheduler like this allows precise control over noise scaling, tailoring the diffusion process to specific model requirements.