Add support for audo frame count so datasets can have varrying length videos. Varous ltx 2.3 VAE optimizations such as removing tiling articacts, and doing frame split encoding to reduce vram on encoding/decoding.

ui/src/docs.tsx

@@ -329,6 +329,17 @@ const docs: { [key: string]: ConfigDoc } = {
       </>
     ),
   },
+  'datasets.auto_frame_count': {
+    title: 'Auto Frame Count',
+    description: (
+      <>
+        This will automatically determine the number of frames to use for each video in your dataset instead of relying
+        on a fixed num_frames. This allows you to include videos of different lengths in the dataset, and each video
+        will be processed without speeding up or slowing down. Be careful about adding long videos into your dataset, as
+        they use up more VRAM. This currently will not work with a batch size greater than 1.
+      </>
+    ),
+  },
 };
 
 export const getDoc = (key: string | null | undefined): ConfigDoc | null => {