[bug] Fix float/int guidance scale not working in StableVideoDiffusionPipeline

[JinayJain]

What does this PR do?

fa3c86b caused a regression in the support for disabling CFG. Specifically, do_classifier_free_guidance was no longer returning a boolean value and causing the following error when using max_guidance_scale = 1.

 507 latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
509 # Concatenate image_latents over channels dimention
--> 510 latent_model_input = torch.cat([latent_model_input, image_latents], dim=2)
512 # predict the noise residual
513 noise_pred = self.unet(
514 latent_model_input,
515 t,
(...)
518 return_dict=False,
519 )[0]
RuntimeError: Sizes of tensors must match except in dimension 2. Expected size 1 but got size 2 for tensor number 1 in the list.

Adding this change allows the pipeline to run without error.

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Tagging @patrickvonplaten who wrote the original commit.

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[sayakpaul]

Nice catch. We should definitely add a test case for this as well here: https://github.com/huggingface/diffusers/blob/main/tests/pipelines/stable_video_diffusion/test_stable_video_diffusion.py.

@yiyixuxu WDYT?

[HuggingFaceDocBuilderDev]

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[DN6]

Looking good 👍🏽 I think a test to check disabling cfg would be a nice addition.

[JinayJain]

@DN6 Added a test, let me know how it looks.

[sayakpaul]

This is looking solid. Thanks!

[sayakpaul]

@DN6 feel free to merge once you're good!

[JinayJain]

Side note: I was looking at the tests and see that the test config sets both height and width 32. It's probably a good idea to change those to different numbers to catch shape errors where the height/width are switched mistakenly.

[sayakpaul]

Welcome you to add them in a separate PR.