v1.3.3 Fixed errors due to audio encoding. Fixed minor widget issue.

- Fixed duration_seconds input
- Both duration settings are now shown by default
- Audio latent fix

js/ltx_director.js

@@ -1642,34 +1642,20 @@ class TimelineEditor {
     const mode = this.displayModeWidget ? this.displayModeWidget.value : "seconds";
 
     if (this.durationFramesWidget) {
-      const isVisible = mode === "frames";
+      // Always visible regardless of display mode
-      // We don't set type to "hidden" anymore because it breaks rendering in Nodes 2.0.
-      // We keep the type as "INT" and use computeSize to hide it.
       this.durationFramesWidget.type = "INT";
       if (!this.durationFramesWidget.options) this.durationFramesWidget.options = {};
-      this.durationFramesWidget.options.hidden = !isVisible;
+      this.durationFramesWidget.options.hidden = false;
-      this.durationFramesWidget.hidden = !isVisible;
+      this.durationFramesWidget.hidden = false;
-
-      if (isVisible) {
       delete this.durationFramesWidget.computeSize;
-      } else {
-        this.durationFramesWidget.computeSize = () => [0, 0];
-      }
     }
     if (this.durationSecondsWidget) {
-      const isVisible = mode === "seconds";
+      // Always visible regardless of display mode
-      // We don't set type to "hidden" anymore because it breaks rendering in Nodes 2.0.
-      // We keep the type as "FLOAT" and use computeSize to hide it.
       this.durationSecondsWidget.type = "FLOAT";
       if (!this.durationSecondsWidget.options) this.durationSecondsWidget.options = {};
-      this.durationSecondsWidget.options.hidden = !isVisible;
+      this.durationSecondsWidget.options.hidden = false;
-      this.durationSecondsWidget.hidden = !isVisible;
+      this.durationSecondsWidget.hidden = false;
-
-      if (isVisible) {
       delete this.durationSecondsWidget.computeSize;
-      } else {
-        this.durationSecondsWidget.computeSize = () => [0, 0];
-      }
     }
 
     // Force node resize and redraw deferred to next tick

load_audio_ui.py

@@ -71,7 +71,7 @@ class LoadAudioUI:
             }
         }
 
-    CATEGORY = "audio"
+    CATEGORY = "WhatDreamsCost"
     RETURN_TYPES = ("AUDIO", "FLOAT")
     RETURN_NAMES = ("audio", "duration")
     FUNCTION = "load_audio"

load_video_ui.py

@@ -64,7 +64,7 @@ class LoadVideoUI:
     RETURN_TYPES = ("IMAGE", "AUDIO", "FLOAT", "INT")
     RETURN_NAMES = ("images", "audio", "duration", "frame_count")
     FUNCTION = "load_video"
-    CATEGORY = "Custom/Video"
+    CATEGORY = "WhatDreamsCost"
 
     def load_video(self, video, frame_rate, display_mode, start_time, end_time, duration, start_frame, end_frame, duration_frames, custom_width=0, custom_height=0, resize_method="maintain aspect ratio", crop_x=0.0, crop_y=0.0, crop_w=1.0, crop_h=1.0, **kwargs):
         if not video:

ltx_director.py

@@ -378,7 +378,7 @@ class LTXDirector(io.ComfyNode):
         return io.Schema(
             node_id="LTXDirector",
             display_name="LTX Director",
-            category="conditioning/prompt_relay",
+            category="WhatDreamsCost",
             description=(
                 "Same as Prompt Relay Encode, but local prompts and segment lengths are edited "
                 "visually as draggable blocks on a timeline. The duration_frames input only sets the "
@@ -584,9 +584,11 @@ class LTXDirector(io.ComfyNode):
         if audio_vae is not None:
             # Helper to generate empty latent
             def get_empty_latent():
+                # Support both raw AudioVAE objects and ComfyUI VAE wrappers.
+                inner = getattr(audio_vae, "first_stage_model", audio_vae)
                 z_channels = audio_vae.latent_channels
-                audio_freq = audio_vae.first_stage_model.latent_frequency_bins
+                audio_freq = inner.latent_frequency_bins
-                num_audio_latents = audio_vae.first_stage_model.num_of_latents_from_frames(ltxv_length, float(frame_rate))
+                num_audio_latents = inner.num_of_latents_from_frames(ltxv_length, float(frame_rate))
                 audio_latents = torch.zeros(
                     (1, z_channels, num_audio_latents, audio_freq),
                     device=comfy.model_management.intermediate_device(),
@@ -597,8 +599,23 @@ class LTXDirector(io.ComfyNode):
                 try:
                     if audio_out is not None:
                         # 1. Encode audio waveform into latent space
-                        # VAE expects shape (batch, samples, channels), so we move dim 1 (channels) to the end
+                        waveform = audio_out["waveform"]
-                        latent_samples = audio_vae.encode(audio_out["waveform"].movedim(1, -1))
+                        if waveform.ndim == 2:
+                            waveform = waveform.unsqueeze(0)
+                        if waveform.ndim != 3:
+                            raise ValueError(
+                                f"Expected custom audio waveform with 2 or 3 dims, got shape {tuple(waveform.shape)}"
+                            )
+
+                        # Wrapped ComfyUI VAE expects (batch, samples, channels);
+                        # raw AudioVAE expects a dict with waveform in (batch, channels, samples).
+                        if hasattr(audio_vae, "first_stage_model"):
+                            latent_samples = audio_vae.encode(waveform.movedim(1, -1))
+                        else:
+                            latent_samples = audio_vae.encode({
+                                "waveform": waveform,
+                                "sample_rate": audio_out["sample_rate"],
+                            })
                         
                         if latent_samples.numel() == 0:
                             raise ValueError("Encoded audio latent is empty (0 elements).")
@@ -629,7 +646,8 @@ class LTXDirector(io.ComfyNode):
                     audio_latent = get_empty_latent()
                     log.info("[PromptRelay] Auto-generated empty audio latent.")
                 except Exception as e:
-                    log.warning("[PromptRelay] Could not generate empty audio latent: %s", e)
+                    log.error("[PromptRelay] Could not generate empty audio latent: %s", e)
+                    raise e
 
         return io.NodeOutput(patched, conditioning, latent, audio_latent, guide_data, float(frame_rate), audio_out)
 

ltx_director_guide.py

@@ -11,7 +11,7 @@ class LTXDirectorGuide(LTXVAddGuide):
         return io.Schema(
             node_id="LTXDirectorGuide",
             display_name="LTX Director Guide",
-            category="LTXVCustom",
+            category="WhatDreamsCost",
             description=(
                 "Applies guide images from a Prompt Relay Timeline node at the frame positions "
                 "and strengths defined on the timeline. Connect guide_data from the timeline node."

ltx_keyframer.py

@@ -38,7 +38,7 @@ class LTXKeyframer(io.ComfyNode):
         return io.Schema(
             node_id="LTXKeyframer",
             display_name="LTX Keyframer",
-            category="LTXVCustom",
+            category="WhatDreamsCost",
             description="Replaces video latent frames with the encoded input images. Number of widgets is dynamically configured.",
             inputs=inputs,
             outputs=[

ltx_sequencer.py

@@ -54,7 +54,7 @@ class LTXSequencer(LTXVAddGuide):
         return io.Schema(
             node_id="LTXSequencer",
             display_name="LTX Sequencer",
-            category="LTXVCustom",
+            category="WhatDreamsCost",
             description="Add multiple guide images at specified frame indices or seconds with strengths. Number of widgets is dynamically configured.",
             inputs=inputs,
             outputs=[

multi_image_loader.py

@@ -26,7 +26,7 @@ class MultiImageLoader:
     RETURN_TYPES = ("IMAGE",) * 51
     RETURN_NAMES = ("multi_output",) + tuple(f"image_{i+1}" for i in range(50))
     FUNCTION = "load_images"
-    CATEGORY = "image"
+    CATEGORY = "WhatDreamsCost"
 
     def resize_image(self, image, width, height, resize_method="keep proportion", interpolation="nearest", multiple_of=0):
         MAX_RESOLUTION = 8192

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "WhatDreamsCost-ComfyUI"
 description = "A variety of custom ComfyUI nodes and workflows for creatives."
-version = "1.3.2"
+version = "1.3.3"
 license = {file = "LICENSE"} 
 # classifiers = [
 #     # For OS-independent nodes (works on all operating systems)

speech_length_calculator.py

@@ -20,7 +20,7 @@ class SpeechLengthCalculator:
     # Added "text" to RETURN_NAMES
     RETURN_NAMES = ("slow_frame_count", "average_frame_count", "fast_frame_count", "text")
     FUNCTION = "calculate_speech"
-    CATEGORY = "text/speech"
+    CATEGORY = "WhatDreamsCost"
 
     def calculate_speech(self, text, fps, additional_time=0.0, text_input=None):
         # Prioritize the connected text_input if provided, otherwise fallback to the text widget