extract and merge frames

nodes.py

@@ -2158,6 +2158,87 @@ class CustomNoise:
         
         return (Noise_CustomNoise(noise_latent),)
 
+class ExtractNFrames:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "frames": ("INT", {"default": 16, "min": 2}),
+            },
+            "optional": {
+                "images": ("IMAGE",),
+                "masks": ("MASK",),
+            },
+        }
+
+    RETURN_TYPES = ("LIST", "IMAGE", "MASK")
+    RETURN_NAMES = ("index_list", "images", "masks")
+    FUNCTION = "extract"
+
+    CATEGORY = "image/filters/frames"
+    
+    def extract(self, frames, images=None, masks=None):
+        original_length = 2
+        if images is not None: original_length = max(original_length, len(images))
+        if masks is not None: original_length = max(original_length, len(masks))
+        
+        n = min(original_length, frames)
+        step = step = (original_length - 1) / (n - 1)
+        ids = [round(i * step) for i in range(n)]
+        while len(ids) < frames:
+            ids.append(ids[-1])
+        
+        new_images = []
+        new_masks = []
+        for i in ids:
+            if images is not None:
+                new_images.append(images[min(i, len(images) - 1)].detach().clone())
+            else:
+                new_images.append(torch.zeros(512, 512, 3))
+            
+            if masks is not None:
+                new_masks.append(masks[min(i, len(masks) - 1)].detach().clone())
+            else:
+                new_masks.append(torch.zeros(512, 512))
+        
+        return (ids, torch.stack(new_images, dim=0), torch.stack(new_masks, dim=0))
+
+class MergeFramesByIndex:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "index_list": ("LIST",),
+                "orig_images": ("IMAGE",),
+                "images": ("IMAGE",),
+            },
+            "optional": {
+                "orig_masks": ("MASK",),
+                "masks": ("MASK",),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE", "MASK")
+    RETURN_NAMES = ("images", "masks")
+    FUNCTION = "merge"
+
+    CATEGORY = "image/filters/frames"
+    
+    def merge(self, index_list, orig_images, images, orig_masks=None, masks=None):
+        new_images = orig_images.detach().clone()
+        new_masks = torch.ones_like(new_images[..., 0]) # BHW
+        if orig_masks is not None:
+            for i in range(len(new_masks)):
+                new_masks[i] = orig_masks[min(i, len(orig_masks) - 1)].detach().clone()
+        
+        for i, frame in enumerate(set(index_list)):
+            frame_mask = masks[i] if masks is not None else torch.ones_like(new_masks[i])
+            new_images[frame] *= (1 - frame_mask[..., None])
+            new_images[frame] += images[i].detach().clone() * frame_mask[..., None]
+            new_masks[frame] *= 0
+        
+        return (new_images, new_masks)
+
 NODE_CLASS_MAPPINGS = {
     "AdainFilterLatent": AdainFilterLatent,
     "AdainImage": AdainImage,
@@ -2184,6 +2265,7 @@ NODE_CLASS_MAPPINGS = {
     "DilateErodeMask": DilateErodeMask,
     "EnhanceDetail": EnhanceDetail,
     "ExposureAdjust": ExposureAdjust,
+    "ExtractNFrames": ExtractNFrames,
     "FrequencyCombine": FrequencyCombine,
     "FrequencySeparate": FrequencySeparate,
     "GameOfLife": GameOfLife,
@@ -2199,6 +2281,7 @@ NODE_CLASS_MAPPINGS = {
     "LatentNormalizeShuffle": LatentNormalizeShuffle,
     "LatentStats": LatentStats,
     "MedianFilterImage": MedianFilterImage,
+    "MergeFramesByIndex": MergeFramesByIndex,
     "ModelTest": ModelTest,
     "NormalMapSimple": NormalMapSimple,
     "OffsetLatentImage": OffsetLatentImage,
@@ -2240,6 +2323,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "DilateErodeMask": "Dilate/Erode Mask",
     "EnhanceDetail": "Enhance Detail",
     "ExposureAdjust": "Exposure Adjust",
+    "ExtractNFrames": "Extract N Frames",
     "FrequencyCombine": "Frequency Combine",
     "FrequencySeparate": "Frequency Separate",
     "GameOfLife": "Game Of Life",
@@ -2255,6 +2339,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "LatentNormalizeShuffle": "LatentNormalizeShuffle",
     "LatentStats": "Latent Stats",
     "MedianFilterImage": "Median Filter Image",
+    "MergeFramesByIndex": "Merge Frames By Index",
     "ModelTest": "Model Test",
     "NormalMapSimple": "Normal Map (Simple)",
     "OffsetLatentImage": "Offset Latent Image",