diff --git a/comfy_extras/nodes_custom_sampler.py b/comfy_extras/nodes_custom_sampler.py
index 7ee4caac111f..993889d9dad8 100644
--- a/comfy_extras/nodes_custom_sampler.py
+++ b/comfy_extras/nodes_custom_sampler.py
@@ -760,8 +760,12 @@ def execute(cls, model, add_noise, noise_seed, cfg, positive, negative, sampler,
         out = latent.copy()
         out["samples"] = samples
         if "x0" in x0_output:
+            x0_out = model.model.process_latent_out(x0_output["x0"].cpu())
+            if samples.is_nested:
+                latent_shapes = [x.shape for x in samples.unbind()]
+                x0_out = comfy.nested_tensor.NestedTensor(comfy.utils.unpack_latents(x0_out, latent_shapes))
             out_denoised = latent.copy()
-            out_denoised["samples"] = model.model.process_latent_out(x0_output["x0"].cpu())
+            out_denoised["samples"] = x0_out
         else:
             out_denoised = out
         return io.NodeOutput(out, out_denoised)
@@ -948,8 +952,12 @@ def execute(cls, noise, guider, sampler, sigmas, latent_image) -> io.NodeOutput:
         out = latent.copy()
         out["samples"] = samples
         if "x0" in x0_output:
+            x0_out = guider.model_patcher.model.process_latent_out(x0_output["x0"].cpu())
+            if samples.is_nested:
+                latent_shapes = [x.shape for x in samples.unbind()]
+                x0_out = comfy.nested_tensor.NestedTensor(comfy.utils.unpack_latents(x0_out, latent_shapes))
             out_denoised = latent.copy()
-            out_denoised["samples"] = guider.model_patcher.model.process_latent_out(x0_output["x0"].cpu())
+            out_denoised["samples"] = x0_out
         else:
             out_denoised = out
         return io.NodeOutput(out, out_denoised)
diff --git a/requirements.txt b/requirements.txt
index 54696395f9b8..b41dbe1d7d4e 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,5 +1,5 @@
 comfyui-frontend-package==1.34.9
-comfyui-workflow-templates==0.7.60
+comfyui-workflow-templates==0.7.62
 comfyui-embedded-docs==0.3.1
 torch
 torchsde