feat: enable attention dispatch for huanyuan video

[DefTruth]

enable attention dispatch for huanyuan video, adapted from:

https://github.com/huggingface/diffusers/blob/ac5a1e28fc9cc233863bcfb2abb9eef6807f156f/src/diffusers/models/transformers/transformer_hunyuanimage.py#L46C7-L46C32

Example

import torch
from diffusers import HunyuanVideoPipeline
from diffusers.utils import export_to_video

pipe: HunyuanVideoPipeline = HunyuanVideoPipeline.from_pretrained(
    "hunyuanvideo-community/HunyuanVideo",
    torch_dtype=torch.bfloat16,
)

pipe.enable_model_cpu_offload()
pipe.vae.enable_tiling()

def run_pipe():
    prompt = "A cat walks on the grass, realistic"
    output = pipe(
        prompt,
        height=320,
        width=512,
        num_frames=61,
        num_inference_steps=30,
        generator=torch.Generator("cpu").manual_seed(0),
    ).frames[0]
    return output

video = run_pipe()
export_to_video(video, "huanyuan_video.mp4", fps=15)

w/o this PR	w/ this PR

@yiyixuxu pipelines