Model/Pipeline/Scheduler description

As zero-shot image editing and interpolation techniques based on T2I diffusion models continue to proliferate, the use of deterministic inverse schedulers for deriving noise maps from user-provided images continues to grow. Implementing a higher-order inverse scheduler will help speed up the latent inversion step in image manipulation pipelines like Pix-to-Pix Zero, DiffEdit, SVDiff, and Text-to-Video Zero. I've already opened a PR at #3335 with a draft implementation.

Open source status

• The model implementation is available
• The model weights are available (Only relevant if addition is not a scheduler).

Provide useful links for the implementation

Here is an ad-hoc implementation of an inverse DPM-Solver Multistep scheduler based on the CompVis Stable Diffusion library by @Xiang-cd: https://github.com/Xiang-cd/DiffEdit-stable-diffusion