Uniformize kwargs for image-text-to-text processors
Author: yonigozlan
Pull request: yes

# What does this PR do?
Adds uniformized processors kwargs following https://github.com/huggingface/transformers/issues/31911 for the following image-text-to-text models:
- [x] Align
- [x] Fuyu 
- [x] InstructBlip
- [x] Kosmos-2
- [x] LLaVa-NeXT
- [x] Pix2Struct 

I will open a separate PR for Idefics/2 as their processors are quite different from the others.
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Comments:
The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/transformers/pr_32544). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

Btw, i just realized we are swapping input args order: it was text-first and now it will be image-first. AFAIK most people are used to pass text and then image in LLaVa models, without indicating the arg-name (`inputs = processor(prompt, raw_image, return_tensors="pt").to(device, torch.float16)`). So we might need to catch those cases

UPDATE: also, our slow tests for llava (not sure about others) also don't follow the new order, so we should update them

So this PR is getting bigger than I anticipated :). I think it's close to ready to be merged so I re-requested reviews, but maybe I should break it up in smaller PRs first? cc @zucchini-nlp @molbap 

As noted I'm not a fan of the use of `audio` to alleviate text_pair and such - this hack is used in https://github.com/huggingface/transformers/pull/32841 and https://github.com/huggingface/transformers/pull/32845 and I think it'd be setting the wrong precedent in the codebase, all the rest is perfectly fine

Removed Udop from this PR as it has some specific args to handle, so waiting on this https://github.com/huggingface/transformers/pull/33479 to be merged before opening another PR for it.
Meanwhile, this PR is ready for review!