删除t2v和i2v的区分，统一接口

lightx2v/text2v/models/schedulers/hunyuan/scheduler.py → lightx2v/models/schedulers/hunyuan/scheduler.py

@@ -3,7 +3,7 @@ import numpy as np
 from diffusers.utils.torch_utils import randn_tensor
 from typing import Union, Tuple, List
 from typing import Any, Callable, Dict, List, Optional, Union, Tuple
-from lightx2v.text2v.models.schedulers.scheduler import BaseScheduler
+from lightx2v.models.schedulers.scheduler import BaseScheduler
 
 
 def _to_tuple(x, dim=2):

lightx2v/text2v/models/schedulers/wan/scheduler.py → lightx2v/models/schedulers/wan/scheduler.py

@@ -2,7 +2,7 @@ import math
 import numpy as np
 import torch
 from typing import List, Optional, Tuple, Union
-from lightx2v.text2v.models.schedulers.scheduler import BaseScheduler
+from lightx2v.models.schedulers.scheduler import BaseScheduler
 
 
 class WanScheduler(BaseScheduler):

lightx2v/text2v/models/video_encoders/trt/autoencoder_kl_causal_3d/model.py → lightx2v/models/video_encoders/trt/autoencoder_kl_causal_3d/model.py

 import os
 import torch
 
-from lightx2v.text2v.models.video_encoders.hf.autoencoder_kl_causal_3d.autoencoder_kl_causal_3d import AutoencoderKLCausal3D
-from lightx2v.text2v.models.video_encoders.trt.autoencoder_kl_causal_3d import trt_vae_infer
+from lightx2v.models.video_encoders.hf.autoencoder_kl_causal_3d.autoencoder_kl_causal_3d import AutoencoderKLCausal3D
+from lightx2v.models.video_encoders.trt.autoencoder_kl_causal_3d import trt_vae_infer
 
 
 class VideoEncoderKLCausal3DModel: