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[docs] Optimization/special hardware #4786

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@stevhliu

From #4428 (comment), the Optimization/Special Hardware section has grown and it may be time to reorganize it. I want to explore how we can do this, and my initial thoughts are:

To me, there are three subtopics in this section that we can reorganize on:

  1. General optimizations that you can apply to DiffusionPipeline (memory/speed, torch 2.0 support, xFormers, token merging)
  2. Optimized or specialized model types (OVStableDiffusionPipeline, ORTStableDiffusionPipeline, CoreML models, Stable Diffusion in JAX/Flax)
  3. Hardware (MPS, Habana)

For the "Memory/speed" page, I think we can even split this into two docs; one focused on saving memory and the other on speeding up inference.

Happy to hear your thoughts! cc @pcuenca @patrickvonplaten @sayakpaul @yiyixuxu

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