Add LatentCutToBatch node. (#11411)

comfy_extras/nodes_latent.py

@@ -5,6 +5,7 @@ import nodes
 from typing_extensions import override
 from comfy_api.latest import ComfyExtension, io
 import logging
+import math
 
 def reshape_latent_to(target_shape, latent, repeat_batch=True):
     if latent.shape[1:] != target_shape[1:]:
@@ -207,6 +208,47 @@ class LatentCut(io.ComfyNode):
         samples_out["samples"] = torch.narrow(s1, dim, index, amount)
         return io.NodeOutput(samples_out)
 
+class LatentCutToBatch(io.ComfyNode):
+    @classmethod
+    def define_schema(cls):
+        return io.Schema(
+            node_id="LatentCutToBatch",
+            category="latent/advanced",
+            inputs=[
+                io.Latent.Input("samples"),
+                io.Combo.Input("dim", options=["t", "x", "y"]),
+                io.Int.Input("slice_size", default=1, min=1, max=nodes.MAX_RESOLUTION, step=1),
+            ],
+            outputs=[
+                io.Latent.Output(),
+            ],
+        )
+
+    @classmethod
+    def execute(cls, samples, dim, slice_size) -> io.NodeOutput:
+        samples_out = samples.copy()
+
+        s1 = samples["samples"]
+
+        if "x" in dim:
+            dim = s1.ndim - 1
+        elif "y" in dim:
+            dim = s1.ndim - 2
+        elif "t" in dim:
+            dim = s1.ndim - 3
+
+        if dim < 2:
+            return io.NodeOutput(samples)
+
+        s = s1.movedim(dim, 1)
+        if s.shape[1] < slice_size:
+            slice_size = s.shape[1]
+        elif s.shape[1] % slice_size != 0:
+            s = s[:, :math.floor(s.shape[1] / slice_size) * slice_size]
+        new_shape = [-1, slice_size] + list(s.shape[2:])
+        samples_out["samples"] = s.reshape(new_shape).movedim(1, dim)
+        return io.NodeOutput(samples_out)
+
 class LatentBatch(io.ComfyNode):
     @classmethod
     def define_schema(cls):
@@ -435,6 +477,7 @@ class LatentExtension(ComfyExtension):
             LatentInterpolate,
             LatentConcat,
             LatentCut,
+            LatentCutToBatch,
             LatentBatch,
             LatentBatchSeedBehavior,
             LatentApplyOperation,