diff --git a/README.md b/README.md
index 7da85ea..e1d0b71 100644
--- a/README.md
+++ b/README.md
@@ -58,7 +58,7 @@ This node uses Ollama Locally : you will need to install it (very lightweight) a
 
 - You can still enter your description manually if you don't want to install it but it works very well!
 
-- Both references mode work (fixed), Licon MSR and Ghost Mask.
+- Reference mode included: Licon MSR.
 
 - Use their Lora, that is an important step : https://huggingface.co/LiconStudio/LTX-2.3-Multiple-Subject-Reference/tree/main
 
diff --git a/example_workflows/LTX Director CS.json b/example_workflows/LTX Director CS.json
index ac2332e..90acdd9 100644
--- a/example_workflows/LTX Director CS.json	
+++ b/example_workflows/LTX Director CS.json	
@@ -1 +1 @@
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soon!\n<https://www.youtube.com/@WhatDreamsCost/>\n\n**Where do I download these models??**\n\nThere is a good list of models and download links here: <https://github.com/wildminder/awesome-ltx2?tab=readme-ov-file>\n\nAlso the latest v1.1 spatial upscaler can be found here: <https://huggingface.co/Lightricks/LTX-2.3/tree/main>\n\nThe tiny vae (taeltx2_3.safetensors) is found here:\n<https://huggingface.co/Kijai/LTX2.3_comfy/blob/main/vae/taeltx2_3.safetensors>\n\n**I'm getting errors when running this workflow!**\n\nDouble check that you have all of the correct models loaded. 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Background features rough, weathered grey concrete overpass structures, wet asphalt, and distant city lights. High-contrast, moody atmosphere.\",\"retake_global_prompt\":\"\",\"retakeMode\":false,\"retakeStart\":24,\"retakeLength\":48,\"retakePrompt\":\"\",\"retakeStrength\":1,\"retakeVideo\":null,\"normalStartFrame\":0,\"normalDurationFrames\":200,\"reference_mode\":\"Licon MSR (Prefix)\",\"analyzeProvider\":\"ollama\",\"analyzeBaseUrl\":\"\",\"analyzeModel\":\"\",\"characters\":[{\"images\":[],\"description\":\"He has short graying hair and a rugged face marked with visible age spots and scarring on his cheeks. He is dressed in a tattered brown leather apron worn over an olive-green jacket layered under a scarf. ha has one cyber eye\"},{\"images\":[],\"description\":\"The character is a tall, slender humanoid with smooth pale skin and a strong jawline beneath sleek eye-goggles covering her eyes entirely. She wears an imposing black hooded headpiece atop the neck of a matte-black tactical suit accented with orange mechanical joints.\"},{\"images\":[],\"description\":\"\"}],\"segments\":[],\"motionSegments\":[],\"audioSegments\":[]}","","",0.001,"",true,true,true,25,"seconds",1920,1088,"stretch to fit",32,18,false,1,"",""]},{"id":146,"type":"PrimitiveStringMultiline","pos":[4372.490971119918,4102.805179368286],"size":[210,88],"flags":{"collapsed":false},"order":31,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"STRING","widget":{"name":"value"},"link":null}],"outputs":[{"localized_name":"STRING","name":"STRING","type":"STRING","links":[318]}],"properties":{"cnr_id":"comfy-core","ver":"0.22.0","Node name for S&R":"PrimitiveStringMultiline"},"widgets_values":["0.85, 0.6165, 0.3460, 0.0000"]},{"id":104,"type":"ManualSigmas","pos":[4112.490971119919,4132.805179368286],"size":[230,58],"flags":{"collapsed":false},"order":39,"mode":0,"inputs":[{"localized_name":"sigmas","name":"sigmas","type":"STRING","widget":{"name":"sigmas"},"link":318}],"outputs":[{"localized_name":"SIGMAS","name":"SIGMAS","type":"SIGMAS","links":[546]}],"properties":{"cnr_id":"comfy-core","ver":"0.14.1","Node name for S&R":"ManualSigmas"},"widgets_values":["0.85, 0.7250, 0.4219, 0.0"]},{"id":150,"type":"MarkdownNote","pos":[4713.409101523936,4789.328871446935],"size":[288.8383013624807,147.09966422352863],"flags":{"collapsed":false},"order":32,"mode":0,"inputs":[],"outputs":[],"title":"About  Models","properties":{},"widgets_values":["\neuler_ancestral_cgf_pp (more photorealistic)\nres 3s (slower)\n\n\n20 steps (best)\n8 steps (ok)\n\nUpscale 3 ok 4 better (plug Basicscheduler to Sampler)\n\nDistilled 0.6 lora (good ref sheet fidelity)\n\n\n48 fps for perfect fast motion\n\nMSR Licon WORKING ! 0.75s artifacts when upscaled because of HD images reinjection\n \n"],"color":"#222","bgcolor":"#000"}],"links":[[12,9,0,10,1,"GUIDER"],[14,7,0,10,4,"LATENT"],[51,28,0,10,0,"NOISE"],[52,11,0,10,3,"SIGMAS"],[53,29,0,10,2,"SAMPLER"],[124,49,0,47,1,"GUIDER"],[125,53,0,47,2,"SAMPLER"],[127,50,0,47,4,"LATENT"],[144,57,0,52,1,"LATENT_UPSCALE_MODEL"],[157,28,0,47,0,"NOISE"],[180,47,0,48,0,"LATENT"],[196,78,0,79,2,"VAE"],[213,101,0,95,0,"MODEL"],[214,99,0,96,0,"MODEL"],[215,97,0,98,0,"MODEL"],[216,100,0,99,0,"MODEL"],[217,98,0,100,0,"MODEL"],[218,99,0,101,0,"MODEL"],[219,80,0,97,0,"MODEL"],[222,15,0,102,0,"IMAGE"],[223,16,0,102,1,"AUDIO"],[227,4,0,107,0,"VAE"],[228,108,0,16,1,"VAE"],[229,3,0,109,0,"VAE"],[231,111,0,52,2,"VAE"],[233,113,0,15,1,"VAE"],[235,13,1,16,0,"LATENT"],[267,10,0,13,0,"LATENT"],[289,128,0,127,1,"CONDITIONING"],[294,84,0,129,0,"CLIP"],[295,130,0,128,0,"CLIP"],[296,128,0,127,2,"CONDITIONING"],[318,146,0,104,0,"STRING"],[325,127,0,147,0,"MODEL"],[337,128,0,149,1,"CONDITIONING"],[382,13,1,174,0,"LATENT"],[383,175,0,50,1,"LATENT"],[384,176,0,52,0,"LATENT"],[392,181,0,102,4,"FLOAT"],[405,79,0,80,0,"MODEL"],[408,94,0,79,0,"MODEL"],[411,128,0,187,0,"CONDITIONING"],[413,149,0,5,1,"CONDITIONING"],[482,101,0,204,0,"MODEL"],[483,84,0,204,1,"CLIP"],[484,4,0,204,2,"VAE"],[485,3,0,204,5,"VAE"],[486,204,0,127,0,"MODEL"],[487,204,1,160,0,"CONDITIONING"],[488,204,1,5,0,"CONDITIONING"],[491,204,4,7,1,"LATENT"],[496,204,7,180,0,"FLOAT"],[497,204,7,5,2,"FLOAT"],[498,204,9,182,0,"INT"],[499,204,2,161,0,"CONDITIONING"],[500,52,0,205,3,"LATENT"],[501,204,5,205,4,"GUIDE_DATA"],[502,205,0,49,1,"CONDITIONING"],[503,205,1,49,2,"CONDITIONING"],[504,205,3,49,0,"MODEL"],[505,205,2,50,0,"LATENT"],[506,112,0,205,2,"VAE"],[507,204,6,205,5,"MOTION_GUIDE_DATA"],[508,103,0,205,6,"MODEL"],[509,205,0,169,0,"CONDITIONING"],[510,205,1,170,0,"CONDITIONING"],[511,167,0,205,0,"CONDITIONING"],[512,168,0,205,1,"CONDITIONING"],[513,5,0,206,0,"CONDITIONING"],[514,5,1,206,1,"CONDITIONING"],[515,204,3,206,3,"LATENT"],[516,127,0,206,6,"MODEL"],[517,204,6,206,5,"MOTION_GUIDE_DATA"],[518,204,5,206,4,"GUIDE_DATA"],[519,110,0,206,2,"VAE"],[520,206,0,9,1,"CONDITIONING"],[521,206,1,9,2,"CONDITIONING"],[522,206,2,7,0,"LATENT"],[523,206,3,9,0,"MODEL"],[524,206,1,166,0,"CONDITIONING"],[525,206,0,165,0,"CONDITIONING"],[527,171,0,207,0,"CONDITIONING"],[528,172,0,207,1,"CONDITIONING"],[529,48,0,207,2,"LATENT"],[532,163,0,208,1,"CONDITIONING"],[533,162,0,208,0,"CONDITIONING"],[534,208,2,173,0,"LATENT"],[535,48,0,209,0,"LATENT"],[536,209,0,15,0,"LATENT"],[537,196,0,209,2,"INT"],[538,205,3,54,0,"MODEL"],[539,13,0,208,2,"LATENT"],[543,204,2,149,0,"CONDITIONING"],[544,206,3,11,0,"MODEL"],[546,104,0,47,3,"SIGMAS"]],"groups":[{"id":4,"title":"Stage #1","bounding":[3016.805994963843,4308.288648200755,1606.2379320089217,760.3108486715846],"flags":{}},{"id":5,"title":"Stage #2 Upscale","bounding":[3014.511362276872,3740.2110485574576,1610.58065732864,543.7537097700324],"flags":{}},{"id":6,"title":"Process Video","bounding":[4647.885369591847,3745.09345122726,1012.506433346367,1323.8349380513605],"flags":{}},{"id":7,"title":"Timeline","bounding":[1777.8233971795028,3740.7638722614215,1223.960654049973,1327.678450477571],"flags":{}},{"id":8,"title":"Peformace tweaks (help low vram)","bounding":[1270.0934983588413,4153.903583195573,485.2883108883925,109.75103239530472],"flags":{}},{"id":9,"title":"LTX-2 Loras","bounding":[1266.851443434426,3821.7807258321477,493.249044492934,316.97960132943217],"flags":{}},{"id":10,"title":"Group","bounding":[1153.1440092407659,4279.708623295673,597.8960119181045,592.6764849338833],"flags":{}}],"config":{},"extra":{"ds":{"scale":0.9800820733973077,"offset":[-3016.3071410521075,-3952.936492586513]},"frontendVersion":"1.42.14","VHS_latentpreview":false,"VHS_latentpreviewrate":0,"VHS_MetadataImage":true,"VHS_KeepIntermediate":true},"version":0.4}
\ No newline at end of file
diff --git a/js/ltx_director.js b/js/ltx_director.js
index d64fa7d..c1fba3a 100644
--- a/js/ltx_director.js
+++ b/js/ltx_director.js
@@ -2534,24 +2534,28 @@ class TimelineEditor {
     this.deleteBtn = deleteBtn;
 
     // --- Ref Option dropdown (sits to the right of Delete) ---
-    const refOptionSelect = document.createElement("select");
-    refOptionSelect.className = "prcs-ref-option-select";
-    refOptionSelect.title = "Character reference mode";
-    const REF_OPTIONS = [
-      { value: "Ghost Mask (End)", label: "Ghost Mask mode" },
-      { value: "Licon MSR (Prefix)", label: "Licon MSR" },
-      { value: "OFF", label: "OFF" },
-    ];
-    REF_OPTIONS.forEach(opt => {
-      const o = document.createElement("option");
-      o.value = opt.value;
-      o.textContent = opt.label;
-      refOptionSelect.appendChild(o);
-    });
-    refOptionSelect.value = this.timeline.reference_mode || "OFF";
-    refOptionSelect.addEventListener("change", (e) => {
-      this.timeline.reference_mode = e.target.value;
-      this.commitChanges();
+    const refOptionSelect = document.createElement("select");
+    refOptionSelect.className = "prcs-ref-option-select";
+    refOptionSelect.title = "Character reference mode";
+    const REF_OPTIONS = [
+      { value: "Licon MSR (Prefix)", label: "Licon MSR" },
+      { value: "OFF", label: "OFF" },
+    ];
+    REF_OPTIONS.forEach(opt => {
+      const o = document.createElement("option");
+      o.value = opt.value;
+      o.textContent = opt.label;
+      refOptionSelect.appendChild(o);
+    });
+    const refOptionValues = new Set(REF_OPTIONS.map(opt => opt.value));
+    const initialRefMode = refOptionValues.has(this.timeline.reference_mode)
+      ? this.timeline.reference_mode
+      : "OFF";
+    refOptionSelect.value = initialRefMode;
+    this.timeline.reference_mode = initialRefMode;
+    refOptionSelect.addEventListener("change", (e) => {
+      this.timeline.reference_mode = e.target.value;
+      this.commitChanges();
     });
     this.refOptionSelect = refOptionSelect;
 
diff --git a/ltx_director.py b/ltx_director.py
index a979e46..56be1d3 100644
--- a/ltx_director.py
+++ b/ltx_director.py
@@ -1698,7 +1698,6 @@ def _build_reference_mode_outputs(
     clean_latent_frames: int,
     reference_strength: float,
     optional_latent,
-    ref_images,
     resize_method: str,
     divisible_by: int,
     prepare_tensor_image,
@@ -1785,52 +1784,6 @@ def _build_reference_mode_outputs(
         )
         return patched, conditioning, latent, out_guide_data
 
-    extra_refs = []
-    if reference_mode == "Ghost Mask (End)" and ref_images is not None:
-        try:
-            for bi in range(ref_images.shape[0]):
-                extra_refs.append(ref_images[bi:bi + 1])
-        except Exception as e:
-            log.warning("[LTXDirector] Could not process ref_images input: %s", e)
-
-    ghost_refs = char_images + extra_refs
-    is_ghost = reference_mode == "Ghost Mask (End)" and bool(ghost_refs)
-    n_refs = len(ghost_refs) if is_ghost else 0
-
-    if is_ghost:
-        for i, single_ref in enumerate(ghost_refs):
-            ref_tensor = prepare_tensor_image(single_ref, latent_w, latent_h)
-            guide_data["images"].append(ref_tensor)
-            guide_data["insert_frames"].append((clean_latent_frames + i) * 8)
-            guide_data["strengths"].append(float(reference_strength))
-        guide_data["ghost_pre_extend"] = int(n_refs)
-
-        total_latent_frames = clean_latent_frames + n_refs
-        tail_pixels = n_refs * 8
-        local_part = local_prompts.strip() if local_prompts.strip() else global_prompt
-        clean_lengths = segment_lengths.strip() if segment_lengths.strip() else str(duration_frames)
-        injected_local = f"{local_part} | {global_prompt}"
-        injected_lengths = f"{clean_lengths},{tail_pixels}"
-        dummy_full = {"samples": torch.zeros([1, 128, total_latent_frames, latent_grid_h, latent_grid_w], device=_dev)}
-        patched, conditioning = _encode_relay(
-            model, clip, dummy_full, global_prompt, injected_local, injected_lengths, epsilon,
-        )
-
-        if optional_latent is None:
-            latent = {
-                "samples": torch.zeros([1, 128, clean_latent_frames, latent_grid_h, latent_grid_w], device=_dev),
-                "noise_mask": torch.ones((1, 1, clean_latent_frames, latent_grid_h, latent_grid_w), dtype=torch.float32, device=_dev),
-            }
-        else:
-            latent = optional_latent
-
-        log.info(
-            "[LTXDirector] Ghost Mask: %d references; guide will hide them in a tail past "
-            "frame %d (clean_latent_frames=%d). Enable Clean Latent Slice (length=%d) downstream.",
-            n_refs, clean_latent_frames, clean_latent_frames, clean_latent_frames,
-        )
-        return patched, conditioning, latent, guide_data
-
     if optional_latent is None:
         latent = {"samples": torch.zeros([1, 128, clean_latent_frames, latent_grid_h, latent_grid_w], device=_dev)}
         log.info(
@@ -2054,13 +2007,9 @@ class LTXDirector(io.ComfyNode):
                     "vae", optional=True,
                     tooltip="Optional. Connect the LTX Autoencoder/VAE here to natively encode the MSR visual reference slideshow into the latent prefix. Required for the 'Licon MSR' ref option.",
                 ),
-                io.Float.Input(
-                    "reference_strength", default=1.0, min=0.0, max=5.0, step=0.05, optional=True,
-                    tooltip="Guide strength applied to the character reference images (Ghost Mask / Licon MSR ref options).",
-                ),
-                io.Image.Input(
-                    "ref_images", optional=True,
-                    tooltip="Ghost Mask only. Extra reference image(s) (e.g. an object) — a single image or a batch. Appended as their own block of hidden reference frames AFTER the @char references, for any number of characters loaded (0-6). Ignored in MSR / OFF modes.",
+                io.Float.Input(
+                    "reference_strength", default=1.0, min=0.0, max=5.0, step=0.05, optional=True,
+                    tooltip="Guide strength applied to the character reference images when using Licon MSR.",
                 ),
                 MSRCharacterSetData.Input(
                     "character_set",
@@ -2107,7 +2056,7 @@ class LTXDirector(io.ComfyNode):
                 custom_width=768, custom_height=512, resize_method="maintain aspect ratio",
                 divisible_by=32, img_compression=0, audio_vae=None, optional_latent=None,
                 use_custom_audio=False, inpaint_audio=True, use_custom_motion=True, override_audio=False,
-                vae=None, reference_strength=1.0, ref_images=None, character_set=None, timeline=None,
+                vae=None, reference_strength=1.0, character_set=None, timeline=None,
                 start=None, end=None, duration=None) -> io.NodeOutput:
         input_dir = folder_paths.get_input_directory()
         image_cache = {}
@@ -2182,9 +2131,12 @@ class LTXDirector(io.ComfyNode):
         log.info(f"[LTXDirector] execute RECEIVED global_prompt: {repr(global_prompt)}")
 
         # --- Reference option (set by the toolbar "Ref Option" dropdown, stored in timeline JSON) ---
-        # One of: "Ghost Mask (End)", "Licon MSR (Prefix)", "OFF".
-        reference_mode = tdata.get("reference_mode", "OFF")
-
+        # One of: "Licon MSR (Prefix)", "OFF".
+        reference_mode = tdata.get("reference_mode", "OFF")
+        if reference_mode not in {"Licon MSR (Prefix)", "OFF"}:
+            reference_mode = "OFF"
+            tdata["reference_mode"] = reference_mode
+
         characters = _extract_runtime_character_entries(
             tdata=tdata,
             character_set=character_set,
@@ -2195,7 +2147,7 @@ class LTXDirector(io.ComfyNode):
         char_images = [img for slot_images in char_slot_images for img in slot_images]
 
         # --- @charN substitution ---
-        # Ghost Mask / OFF: swap @char tags for their VLM descriptions in the prompt text.
+        # OFF: swap @char tags for their VLM descriptions in the prompt text.
         # Licon MSR: leave the tags raw — there the reference IMAGE drives identity, and the
         #            tags are used only to pick which character slots feed the slideshow.
         if reference_mode == "Licon MSR (Prefix)":
@@ -2267,7 +2219,6 @@ class LTXDirector(io.ComfyNode):
             clean_latent_frames=clean_latent_frames,
             reference_strength=reference_strength,
             optional_latent=optional_latent,
-            ref_images=ref_images,
             resize_method=resize_method,
             divisible_by=divisible_by,
             prepare_tensor_image=prepare_tensor_image,
diff --git a/ltx_director_guide.py b/ltx_director_guide.py
index 2539ce6..3942712 100644
--- a/ltx_director_guide.py
+++ b/ltx_director_guide.py
@@ -808,15 +808,6 @@ class LTXDirectorGuide:
         if auto_snap_ic_grid and model is not None and ic_lora_name != "None":
             latent_image, noise_mask = _snap_latent_to_downscale(latent_image, noise_mask, latent_downscale_factor, upscale_method)
 
-        # Ghost Mask: the Director kept the latent clean (so it stays length-matched with the audio
-        # latent) and asked us to pre-extend it here by one hidden frame per reference. The tail
-        # sits past the clean region; the reference images (in guide_data["images"], anchored at
-        # (clean + i)) are written into it by the loop below, then dropped downstream by Clean
-        # Latent Slice (length = clean_latent_frames).
-        _ghost_pre_extend = int(guide_data.get("ghost_pre_extend", 0)) if guide_data else 0
-        if _ghost_pre_extend > 0:
-            latent_image, noise_mask = _append_latent_frames(latent_image, noise_mask, _ghost_pre_extend, mask_fill=1.0)
-
         _, _, latent_length, latent_height, latent_width = latent_image.shape
         initial_latent_length = int(latent_length)