Allow image resolutions multiple of 8 instead of 64 in SVD pipeline

[mlfarinha]

Hello! This is my first time making a PR to diffusers so I apologise if I have missed something!

This PR implements the same behaviour from unet_2d_condition.py and unet_3d_condition.py to allow generating images with height/width that are not multiples of 64 while still being multiples of 8 in unet_spatio_temporal_condition.py. To achieve this I changed the forward method of the UNetSpatioTemporalConditionModel upblocks UpBlockSpatioTemporal and CrossAttnUpBlockSpatioTemporal in unet_3d_blocks.py. This PR is related to the closed issue https://github.com/huggingface/diffusers/issues/255

---

Code to reproduce the error:

import torch

from diffusers import StableVideoDiffusionPipeline
from diffusers.utils import load_image

pipe = StableVideoDiffusionPipeline.from_pretrained(
    "stabilityai/stable-video-diffusion-img2vid-xt", torch_dtype=torch.float16, variant="fp16"
)
pipe.enable_model_cpu_offload()

# Load the conditioning image
image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/svd/rocket.png")
image = image.resize((640, 480))

generator = torch.manual_seed(42)
frames = pipe(image, height=480, width=640, decode_chunk_size=8, generator=generator).frames[0]

---

Error:

RuntimeError: Sizes of tensors must match except in dimension 1. Expected size 16 but got size 15 for tensor number 1 in the list.

---

@patrickvonplaten and @sayakpaul

[patrickvonplaten]

@DN6 @patil-suraj can you check here?

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[sayakpaul]

@DN6 could you give this a look?

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[DN6]

HI @mlfarinha sorry I missed this. PR looks good to me. Could we resolve the conflicts and we can merge.

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[github-actions[bot]]

This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the contributing guidelines are likely to be ignored.

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Please note that issues that do not follow the contributing guidelines are likely to be ignored.

[yiyixuxu]

gentle pin @mlfarinha

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[HuggingFaceDocBuilderDev]

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