diff --git a/controlnet/nodes.py b/controlnet/nodes.py
index 8b48469..14975d1 100644
--- a/controlnet/nodes.py
+++ b/controlnet/nodes.py
@@ -125,7 +125,7 @@ class WanVideoControlnetApply:
                 "model": ("WANVIDEOMODEL", ),
                 "controlnet": ("WANVIDEOCONTROLNET", ),
                 "control_images": ("IMAGE", ),
-                "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.0001, "tooltip": "controlnet strength"}),
+                "strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.0001, "tooltip": "controlnet strength"}),
                 "control_stride": ("INT", {"default": 3, "min": 1, "max": 8, "step": 1, "tooltip": "controlnet stride"}),
                 "control_start_percent": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "Start percent of the steps to apply controlnet"}),
                 "control_end_percent": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "End percent of the steps to apply controlnet"}),
diff --git a/nodes.py b/nodes.py
index 3c9d882..5a0af34 100644
--- a/nodes.py
+++ b/nodes.py
@@ -3349,6 +3349,8 @@ class WanVideoSampler:
                 if callback is not None:
                     if recammaster is not None:
                         callback_latent = (latent_model_input[:, :orig_noise_len].to(device) - noise_pred[:, :orig_noise_len].to(device) * t.to(device) / 1000).detach().permute(1,0,2,3)
+                    if phantom_latents is not None:
+                        callback_latent = (latent_model_input[:,:-phantom_latents.shape[1]].to(device) - noise_pred[:,:-phantom_latents.shape[1]].to(device) * t.to(device) / 1000).detach().permute(1,0,2,3)
                     else:
                         callback_latent = (latent_model_input.to(device) - noise_pred.to(device) * t.to(device) / 1000).detach().permute(1,0,2,3)
                     callback(idx, callback_latent, None, steps)