Add options to disable/hide progress bar

Is your feature request related to a problem? Please describe.

This is a minor thing, but I find the progress bar annoying when I run inference with pipeline successively.

See this screenshot for example. In this case, I generated 10 images using DDIMPipeline and used tqdm myself, but the progress bars coming from __call__ of the pipeline are stacking up and annoying.

Describe the solution you’d like

It would be nice if disable and leave options of tqdm were available with pipelines. Keyword arguments (say, disable_tqdm and leave_tqdm?) could be added to __call__ methods and passed to tqdm. These are the relevant lines in case of DDPMPipeline: https://github.com/huggingface/diffusers/blob/92b6dbba1a25ed27b0bae38b089715132c7e6bcc/src/diffusers/pipelines/ddpm/pipeline_ddpm.py#L31 https://github.com/huggingface/diffusers/blob/92b6dbba1a25ed27b0bae38b089715132c7e6bcc/src/diffusers/pipelines/ddpm/pipeline_ddpm.py#L47

I found something that might be relevant in the logging module, but it’s not used in the pipeline modules. Maybe this can be used.

[hysts]

Sure. I’ll look into it and make a PR.

[anton-l]

Let’s also make sure that we can handle additional arguments to tqdm (like total=) with **kwargs like so:

def progress_bar(self, iterable, **kwargs):
     if self._is_progress_bar_enabled:
         return tqdm(iterable, **kwargs)
     else:
         return iterable

for i, t in tqdm(enumerate(self.scheduler.timesteps), total=self.scheduler.num_inference_steps):