Add CogVideoXFunResizeToClosestBucket

nodes.py

@@ -838,6 +838,40 @@ class CogVideoDecode:
 
         return (video,)
 
+class CogVideoXFunResizeToClosestBucket:
+    upscale_methods = ["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {
+            "images": ("IMAGE", ),
+            "base_resolution": ("INT", {"min": 64, "max": 1280, "step": 64, "default": 512, "tooltip": "Base resolution, closest training data bucket resolution is chosen based on the selection."}),
+            "upscale_method": (s.upscale_methods, {"default": "lanczos", "tooltip": "Upscale method to use"}),
+            "crop": (["disabled","center"],),
+            },
+        }
+
+    RETURN_TYPES = ("IMAGE", "INT", "INT")
+    RETURN_NAMES = ("images", "width", "height")
+    FUNCTION = "resize"
+    CATEGORY = "CogVideoWrapper"
+
+    def resize(self, images, base_resolution, upscale_method, crop):
+        from comfy.utils import common_upscale
+
+        B, H, W, C = images.shape
+        # Count most suitable height and width
+        aspect_ratio_sample_size    = {key : [x / 512 * base_resolution for x in ASPECT_RATIO_512[key]] for key in ASPECT_RATIO_512.keys()}
+
+        closest_size, closest_ratio = get_closest_ratio(H, W, ratios=aspect_ratio_sample_size)
+        height, width = [int(x / 16) * 16 for x in closest_size]
+        log.info(f"Closest bucket size: {width}x{height}")
+
+        resized_images = images.clone().movedim(-1,1)
+        resized_images = common_upscale(resized_images, width, height, upscale_method, crop)
+        resized_images = resized_images.movedim(1,-1)
+        
+        return (resized_images, width, height)
+    
 class CogVideoXFunSampler:
     @classmethod
     def INPUT_TYPES(s):
@@ -1266,7 +1300,8 @@ NODE_CLASS_MAPPINGS = {
     "CogVideoControlNet": CogVideoControlNet,
     "ToraEncodeTrajectory": ToraEncodeTrajectory,
     "ToraEncodeOpticalFlow": ToraEncodeOpticalFlow,
-    "CogVideoXFasterCache": CogVideoXFasterCache
+    "CogVideoXFasterCache": CogVideoXFasterCache,
+    "CogVideoXFunResizeToClosestBucket": CogVideoXFunResizeToClosestBucket
 }
 NODE_DISPLAY_NAME_MAPPINGS = {
     "CogVideoSampler": "CogVideo Sampler",
@@ -1286,5 +1321,6 @@ NODE_DISPLAY_NAME_MAPPINGS = {
     "CogVideoContextOptions": "CogVideo Context Options",
     "ToraEncodeTrajectory": "Tora Encode Trajectory",
     "ToraEncodeOpticalFlow": "Tora Encode OpticalFlow",
-    "CogVideoXFasterCache": "CogVideoX FasterCache"
+    "CogVideoXFasterCache": "CogVideoX FasterCache",
+    "CogVideoXFunResizeToClosestBucket": "CogVideoXFun ResizeToClosestBucket"
     }