| |
| |
| import torch.nn.functional as F |
| from typing import Optional, Tuple |
| import torch |
| import time |
|
|
| from model.base import SelfForcingModel |
| from utils.memory import log_gpu_memory |
| import torch.distributed as dist |
| from model.dmd import DMD |
| from pipeline.streaming_switch_training import StreamingSwitchTrainingPipeline |
| from einops import rearrange |
|
|
| from utils.debug_option import DEBUG, LOG_GPU_MEMORY |
|
|
|
|
| class DMDSwitch(DMD): |
| """DMD variant that supports mid-video prompt switching.""" |
|
|
| def _initialize_inference_pipeline(self): |
| self.inference_pipeline = StreamingSwitchTrainingPipeline( |
| denoising_step_list=self.denoising_step_list, |
| scheduler=self.scheduler, |
| generator=self.generator, |
| num_frame_per_block=self.num_frame_per_block, |
| same_step_across_blocks=self.args.same_step_across_blocks, |
| last_step_only=self.args.last_step_only, |
| context_noise=self.args.context_noise, |
| local_attn_size=getattr(self.args, "model_kwargs", {}).get("local_attn_size", -1), |
| slice_last_frames=getattr(self.args, "slice_last_frames", 21), |
| global_sink=getattr(self.args, "global_sink", False), |
| ) |