video mask: fixes for replacer extension (#509)

motion_module.py

@@ -330,8 +330,8 @@ class VersatileAttention(CrossAttention):
 
 
     def forward(self, x: torch.Tensor):
-        from scripts.animatediff_mm import mm_animatediff
-        video_length = mm_animatediff.ad_params.batch_size
+        from scripts import animatediff_mm
+        video_length = animatediff_mm.mm_animatediff.ad_params.batch_size
 
         d = x.shape[1]
         x = rearrange(x, "(b f) d c -> (b d) f c", f=video_length)

scripts/animatediff_output.py

@@ -27,6 +27,7 @@ class AnimateDiffOutput:
         output_dir.mkdir(parents=True, exist_ok=True)
         step = params.video_length if params.video_length > params.batch_size else params.batch_size
         for i in range(res.index_of_first_image, len(res.images), step):
+            if i-res.index_of_first_image >= len(res.all_seeds): break
             # frame interpolation replaces video_list with interpolated frames
             # so make a copy instead of a slice (reference), to avoid modifying res
             frame_list = [image.copy() for image in res.images[i : i + params.video_length]]

scripts/animatediff_ui.py

@@ -182,7 +182,7 @@ class AnimateDiffProcess:
                 cn_unit.batch_images = self.video_path
 
             # mask path broadcast
-            if cn_unit.input_mode.name == 'BATCH' and self.mask_path and not cn_unit.batch_mask_dir:
+            if cn_unit.input_mode.name == 'BATCH' and self.mask_path and not getattr(cn_unit, 'batch_mask_dir', False):
                 cn_unit.batch_mask_dir = self.mask_path
 
             # find minimun control images in CN batch