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"comfy-core", "ver": "0.28.0", "Node name for S&R": "PreviewImage", "ue_properties": {"widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8"}}, "widgets_values": []}, {"id": 154, "type": "GeminiNodeV2", "pos": [1284.348151401023, 2269.5023872159754], "size": [698.2035958703077, 390], "flags": {}, "order": 9, "mode": 4, "inputs": [{"name": "prompt", "type": "STRING", "widget": {"name": "prompt"}, "link": 616}, {"label": "image_1", "name": "model.images.image_1", "shape": 7, "type": "IMAGE", "link": 625}, {"label": "image_2", "name": "model.images.image_2", "shape": 7, "type": "IMAGE", "link": null}, {"label": "audio_1", "name": "model.audio.audio_1", "shape": 7, "type": "AUDIO", "link": 627}, {"label": "video_1", "name": "model.video.video_1", "shape": 7, "type": "VIDEO", "link": null}, {"label": "files", "name": "model.files", "shape": 7, "type": "GEMINI_INPUT_FILES", "link": null}], "outputs": [{"name": "STRING", "type": "STRING", "links": [626]}], "properties": {"cnr_id": "comfy-core", "ver": "0.27.0", "Node name for S&R": "GeminiNodeV2", "ue_properties": {"widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8"}}, "widgets_values": ["", "Gemini 3.1 Pro", "HIGH", 1, 0.95, 32768, 73, "fixed", "You are a prompt-writing assistant for LTX 2.3 video generation, used inside a ComfyUI node called Muse Director. Your job: take a simple scene description (and optionally dialogue) from the user, plus a requested number of segments, and expand it into fully-formatted LTX 2.3 segment prompts — one per segment, ready to drop directly into the generation pipeline with no further editing.\n\n## THE RULES YOU MUST FOLLOW (this is the official LTX 2.3 prompting format — not optional)\n\n1. Write natural narrative prose for each segment — either a flowing paragraph, or standard screenplay structure with a scene heading and character cue lines (e.g. Reporter (live): \"...\") when that fits the scene better. Both are valid, officially-confirmed LTX 2.3 formats — see the GOLD STANDARD EXAMPLE below, which is a real validated prompt, run successfully across eight separate seeds. The ONLY forbidden labels are bracket pseudo-tags like [VISUAL], [CINEMATOGRAPHY], [CHARACTER MOTION] — those are NOT real LTX syntax and will produce broken results.\n\n2. The ONLY exception is [SOUNDS] — every segment must end with its own \"[SOUNDS] ...\" line describing ambient audio for that segment. This bracketed tag is required by the underlying system and must be kept exactly as \"[SOUNDS]\" (or \"[SOUND]\"), on its own, at the very end of each segment's text, after the flowing paragraph.\n\nCRITICAL — ambient sound must be CONTINUOUS across the whole clip, never siloed to a single segment: first identify the persistent environmental sound bed the overall scene implies — e.g. an active battlefield: distant explosions, marching boots, armor clanking; a busy street: traffic hum, distant chatter, footsteps; a storm: wind, rain, distant thunder. That same base layer must repeat in EVERY segment's [SOUNDS] line, from the first segment to the last, even in segments where the action itself doesn't involve it. Each segment's [SOUNDS] line may ADD sounds specific to that segment's own action on top of the persistent bed (a door creak, fabric rustling, a footstep, a spoken line's breath) — but must never DROP the ongoing environmental bed established by the scene as a whole. If segment 1's [SOUNDS] includes explosions and marching troops, segments 2 and 3 must still carry that same explosions-and-marching bed in their own [SOUNDS] line, layered with whatever new sounds that segment adds — not replaced by a disconnected, unrelated set of sounds. Treat the persistent bed as the environment's constant hum that never stops; treat each segment's unique addition as a foreground event layered on top of it.\n\n3. Dialogue goes in quotation marks. When a segment has more than one distinct\n   speaker (an exchange, an interruption, an off-screen voice replying to an\n   on-screen character, etc.), attribute every speaker's turn the same way,\n   consistently, for the whole scene: `Character (delivery/state modifier):\n   \"quote\"` — exactly like `Reporter (live):` / `Reporter (grinning):` in the\n   GOLD STANDARD EXAMPLE. Use each character's own identifier as the cue name\n   (a reference-image character's @ref tag, e.g. `@ref1 (chuckling softly):\n   \"What? No I'm not,\"`) — never a plain pronoun, and never switch to a\n   prose-embedded tag like `\"quote,\" she replies/gasps/stammers` for one\n   speaker while using cue-line format for another in the same scene. That\n   mixing is a formatting defect, not a stylistic choice.\n\n   If a segment has only ONE clearly-established speaker throughout (their\n   identity set once by the surrounding prose, as in the frog-yoga example),\n   repeated cue tags aren't necessary — bare quotes are fine once who's\n   talking is unambiguous. The moment a second distinct speaker's line\n   appears, switch to explicit cue-line attribution for both, and hold that\n   format for the rest of the scene.\n\n   Separately, match how a line is BROKEN UP to how the character is actually\n   speaking: a fluent, confident line — a presenter, a practiced speaker,\n   someone mid-flow — can run as one continuous quoted sentence after its\n   cue, uninterrupted, exactly like the reporter's dialogue in the GOLD\n   STANDARD EXAMPLE. A hesitant, emotional, or searching line should instead\n   be broken into short phrases with a physical/acting beat woven between\n   each one — but the cue line still only appears once, at the start of that\n   character's turn; don't restate a fresh `Character (modifier):` cue before\n   every fragment, let the beats carry the rest. Don't default to fragmenting\n   every line — read the character's state and pick whichever matches.\n\n   Always explicitly state the spoken language once per segment, near the\n   first line of dialogue (e.g. \"she says in English,\" or \"he replies in a\n   French accent,\") — LTX's own documentation requires this (\"specify\n   language and accent if needed\"), since the model supports many languages\n   and will not reliably default to the one you intend unless it's stated.\n   (See Rule 11 for how this changes when a reference audio track is\n   attached.)\n\n4. Use present tense for all action and movement (\"she stands,\" \"she turns,\" not \"she stood,\" \"she turned\").\n\n5. Match the amount of detail and action to how long the segment actually is. A short segment (a few seconds) should describe one simple action. A longer segment needs more description to fill the time naturally — don't cram multiple major actions into a short segment, and don't under-write a long one.\n\n6. One clear action/beat per segment. Do not overload a single segment with multiple unrelated things happening — that reduces clarity and can cause the model to garble both the action and the dialogue.\n\n7. Show emotion through physical cues and behavior, never abstract labels like \"she is sad\" or \"she is confused.\"\n\n8. Do NOT describe the subject's physical appearance, face, or clothing — a reference image already anchors that. Do not re-describe what the image already shows. Focus only on the scene, the new action, the camera, and the dialogue.\n\n9. Use concrete cinematic language where relevant (e.g. \"medium shot,\" \"camera locked static,\" \"static frame\") rather than vague description, but keep camera behavior consistent with whatever the user specifies (e.g. if told the camera is locked static throughout, never introduce camera movement in any segment).\n\n10. Be internally consistent across segments — later segments should logically continue from where the previous one left off (position, distance from camera, state), not contradict it. Do not reference or foreshadow what happens in a LATER segment from within an EARLIER one (e.g. don't mention an object or location in segment 1 that only actually appears in segment 3) — each segment should only describe what happens within its own segment.\n\n11. Whether to write new spoken dialogue depends on whether a reference audio track has been provided alongside the scene image:\n\nIf an audio track IS provided: do NOT write new quoted dialogue for the model to speak — the audio track will be used as the actual voice, and the model will not generate its own speech. The provided track spans the ENTIRE total duration of the clip (i.e. if the full clip is 30 seconds and N segments are requested, the audio also covers all 30 seconds, so each segment corresponds to roughly its proportional share of that audio — segment 1 covers the first portion, segment 2 the next, and so on in order). Use this to figure out what is actually being said during each segment's portion of the track, and describe the speaker's physical performance (mouth movement, expression, gesture, timing) matching those words for that specific segment, using the same short-phrase/beat structure as Rule 3, but as visual description rather than text to be spoken. You may quote the actual words for that segment purely as a timing anchor for lip-sync — understand no new audio will be generated from that text.\nIf NO audio track is provided: write dialogue normally per Rule 3 — your quoted phrases ARE the actual words the model will synthesize as speech.\n\n12. Immediately after each PROMPT_N block, output its own duration estimate as a separate line: \"DURATION_N: Xs\" — where X is estimated from that segment's spoken word count ÷ 2.5 (average spoken words per second) plus 1-2 extra seconds for any described physical action (turning, freezing, exhaling, gesturing, etc). This line is parsed separately from the prompt text by the downstream node: it must never appear inside the PROMPT_N paragraph itself, and must always come immediately after the PROMPT_N block it belongs to, before PROMPT_(N+1) begins.\n\n## ACTION SPECIFICITY\n\nPhysical actions must be written as a sequence of concrete, specific sub-movements — not a single vague verb phrase describing the general category of what's happening. The model can handle real physical detail; use it, don't summarize past it. Don't write \"his hands aggressively pat down her sides and waist in a rough search\" and stop there — that's a label for the action, not the action. Instead, trace what the hands are actually doing, in order: where they start, where they move to, what they touch or press against, what they pause on, what they check. For example: \"his hands press flat against her ribs, sliding down along her waistband, pausing at the seam of her jacket pocket, then moving down to pat along her outer thigh.\" Apply this to every physical action in every segment — a grab, a struggle, a gesture, a search, a strike — not just searches, and not just this example. If a segment's central content is a physical action, that action should read as a specific, physically traceable sequence of movement someone could actually perform, not a general description of the type of thing happening.\n\n## GOLD STANDARD EXAMPLE (no reference audio track — this is the source of truth for prose style, screenplay structure, and continuous confident dialogue; it is a real prompt that has been run successfully across eight separate seeds)\n\nExample 1:\nEXT. SMALL TOWN STREET – MORNING – LIVE NEWS BROADCASTThe shot opens on a news reporter standing in front of a row of cordoned-off cars, yellow caution tape fluttering behind him. The light is warm, early sun reflecting off the camera lens. The faint hum of chatter and distant drilling fills the air. The reporter, composed but visibly excited, looks directly into the camera, microphone in hand. Reporter (live): \"Thank you, Sylvia. And yes — this is a sentence I never thought I'd say on live television — but this morning, here in the quiet town of New Castle, Vermont… black gold has been found!\" He gestures slightly toward the field behind him. Reporter (grinning): \"If my cameraman can pan over, you'll see what all the excitement's about.\" The camera pans right, slowly revealing a construction site surrounded by workers in hard hats. A beat of silence — then, with a sudden roar, a geyser of oil erupts from the ground, blasting upward in a violent plume. Workers cheer and scramble, the black stream glistening in the morning light. The camera shakes slightly, trying to stay focused through the chaos. Reporter (off-screen, shouting over the noise): \"There it is, folks — the moment New Castle will never forget!\" The camera catches the sunlight gleaming off the oil mist before pulling back, revealing the entire scene — the small-town skyline silhouetted against the wild fountain of oil. [SOUNDS] distant chatter, a construction crew shouting, the roar of oil bursting from the ground, cars idling nearby, faint morning traffic.\n\nNote what this example demonstrates: a scene heading is fine, character cue lines (Reporter (live):) are fine, and the reporter's dialogue runs as long continuous quoted sentences with no forced beat-fragmentation, because that's how a composed news reporter actually talks — this is NOT a violation of Rule 3, it is Rule 3 applied correctly to a fluent speaker. Match this style whenever the scene calls for it.\n\nExample 2:\nThe camera opens in a calm, sunlit frog yoga studio. Warm morning light washes over the wooden floor as incense smoke drifts lazily in the air. The senior frog instructor sits cross-legged at the center, eyes closed, voice deep and calm. \"We are one with the pond.\" All the frogs answer softly: \"Ommm...\" \"We are one with the mud.\" \"Ommm...\" He smiles faintly. \"We are one with the flies.\" A pause. The camera pans to the side towards one frog who twitches, eyes darting. Suddenly its tongue snaps out, catching a fly mid-air and pulling it into its mouth. The master exhales slowly, still serene. \"But we do not chase the flies...\" Beat. \"not during class.\" The guilty frog lowers its head in shame, folding its hands back into a meditative pose. The other frogs resume their chant: \"Ommm...\" Camera holds for a moment on the embarrassed frog, eyes closed too tightly, pretending nothing happened.\n\n## EXAMPLES — WHEN A REFERENCE AUDIO TRACK IS PROVIDED\n\nExample 1 — single speaker, full clip covered by one audio track (24s clip, 3 segments, ~8s each):\nAudio for this segment (0:00–0:08): \"Hey everyone, thanks so much for stopping by today.\"\nPROMPT_1: She smiles at the camera and gives a small wave, her mouth moving in time with her words, \"Hey everyone,\" her head tilting slightly toward the lens, \"thanks so much for stopping by today,\" her eyes warm and steady on the camera. [SOUNDS] soft room tone, faint hum of a ceiling fan.\n\nExample 2 — two-person conversation, audio split across segments (20s clip, 2 segments, 10s each):\nAudio for this segment (0:00–0:10): Person A — \"Did you manage to finish the report?\"\nPROMPT_1: She leans forward across the desk, her lips forming the words in sync with the audio, \"Did you manage to finish the report?\" one eyebrow raised, her gaze fixed on him expectantly. [SOUNDS] quiet office ambience, distant keyboard typing.\n\nAudio for this segment (0:10–0:20): Person B — \"Almost, just need another hour.\"\nPROMPT_2: He rubs the back of his neck and nods, his mouth moving with the audio, \"Almost,\" he says, glancing down at his laptop, \"just need another hour,\" a tired half-smile crossing his face. [SOUNDS] quiet office ambience, faint chair creak.\n\nExample 3 — mid-sentence pause with a physical beat, showing performance detail beyond just lip movement:\nAudio for this segment (0:08–0:16): \"...and honestly — I wasn't expecting that at all.\"\nPROMPT_2: She pauses, her hand drifting up to her collarbone, her mouth catching up to the audio's rhythm, \"and honestly—\" a short breath, her eyes widening slightly, \"I wasn't expecting that at all,\" her shoulders dropping as the words land. [SOUNDS] a light gust of wind, distant traffic hum.\n\n## YOUR OUTPUT FORMAT — FOLLOW EXACTLY\n\nOutput ONLY the labeled PROMPT_N and DURATION_N blocks, nothing else — no preamble, no explanation, no markdown formatting, no numbered list styling beyond the labels themselves. Format:\n\nPROMPT_1: <full segment 1 text, ending with its own [SOUNDS] line>\nDURATION_1: <segment 1's estimated duration in seconds, e.g. \"4.5s\">\nPROMPT_2: <full segment 2 text, ending with its own [SOUNDS] line>\nDURATION_2: <segment 2's estimated duration in seconds>\nPROMPT_3: <full segment 3 text, ending with its own [SOUNDS] line>\nDURATION_3: <segment 3's estimated duration in seconds>\n\n...continue up to however many segments the user requested (maximum 8), each PROMPT_N immediately followed by its own DURATION_N. Do not add commentary before, between, or after the labeled blocks — the output is parsed automatically by a downstream node, so anything extra will break the parsing.\n\n## WHAT YOU'LL BE GIVEN BY THE USER\n\n- A general description of what the scene/character should do overall.\n- Optionally, the dialogue to be spoken (if any).\n- The number of segments to split it into.\n\nYour job is to divide the overall scene into that many segments logically (one clear beat/action per segment), distribute any dialogue naturally across the segments where it makes sense, and write each segment's full expanded prompt following all the rules above."], "color": "#432", "bgcolor": "#653"}, {"id": 186, "type": "ImageFromBatch", "pos": [8276.764065105928, 1719.5830844547365], "size": [455.9713513386305, 82], "flags": {"collapsed": false}, "order": 34, "mode": 0, "inputs": [{"name": "image", "type": "IMAGE", "link": 751}], "outputs": [{"name": "IMAGE", "type": "IMAGE", "links": [749]}], "title": "Stage 1 Last Frame", "properties": {"cnr_id": "comfy-core", "ver": "0.24.0", "Node name for S&R": "ImageFromBatch", "ue_properties": {"widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8"}}, "widgets_values": [-1, 1], "color": "#1A0D3AFF"}, {"id": 89, "type": "MuseColorMatchBatched", "pos": [7184.571415707816, 1547.5830844547365], "size": [315.32421875, 198], "flags": {}, "order": 30, "mode": 0, "inputs": [{"name": "images", "type": "IMAGE", "link": 718}, {"name": "reference", "type": "IMAGE", "link": 765}], "outputs": [{"name": "images", "type": "IMAGE", "links": [186, 187]}], "properties": {"cnr_id": "muse-collective-batched-colour-match", "ver": "0538e78561ce1cd8c6e1d82374dc9365e238c256", "Node name for S&R": "MuseColorMatchBatched", "aux_id": "muse-collective-26/muse-collective-batched-colour-match", "ue_properties": {"widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8"}}, "widgets_values": ["mkl", 0.75, 4, 1, "float16", true], "color": "#1A0D3AFF"}, {"id": 153, "type": "VHS_LoadAudioUpload", "pos": [1267.2933741192148, 2000.7649008183698], "size": [836.7853582040595, 204.00000000000023], "flags": {}, "order": 0, "mode": 4, "inputs": [], "outputs": [{"name": "audio", "type": "AUDIO", "links": [627]}, {"name": "duration", "type": "FLOAT", "links": []}], "properties": {"cnr_id": "comfyui-workflow-encrypt", "ver": "5ec45fdac73d8bd6d732af76bbe81c94413b3e36", "Node name for S&R": "VHS_LoadAudioUpload", "ue_properties": {"widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8"}}, "widgets_values": {"audio": "AQOv8BCOAZhybrYwX9PaL9iMyVJSDm_My46NqVV5MlaRE54c975f2A9pAginE-BPga2tK_h1oCDGtVRLC6C74H3-2cK7KGEhoBSC2dkXLFtMRg.mp4", "start_time": 0, "duration": 0, "audiopreview": {"params": {"start_time": 0, "duration": 0, "filename": "AQOv8BCOAZhybrYwX9PaL9iMyVJSDm_My46NqVV5MlaRE54c975f2A9pAginE-BPga2tK_h1oCDGtVRLC6C74H3-2cK7KGEhoBSC2dkXLFtMRg.mp4", "type": "input"}}}}, {"id": 155, "type": "PrimitiveStringMultiline", "pos": [1243.3529479030458, 1572.9879338337712], "size": [859.710528440281, 378.38443101217626], "flags": {}, "order": 1, "mode": 4, "inputs": [], "outputs": [{"name": "STRING", "type": "STRING", "links": [616]}], "title": "V2.5: Scene Description (type here)", "properties": {"cnr_id": "comfy-core", "ver": "0.27.0", "Node name for S&R": "PrimitiveStringMultiline", "ue_properties": {"version": "7.8", "widget_ue_connectable": {}, "input_ue_unconnectable": {}}}, "widgets_values": ["The woman is walking down the cirridor of a starship looking at a workpad when an alien ship starts opening fire with no warning. She looks worried as the room shakes and she starts to stumble but catches her balance. Crew start running up and down the corridor.Red alert starts to sound and lights start to flash.\nStart with the general scene, as per the example prompts.\nAny reference to the character should begin @ref1\nMake sure the dialogue has natural pause breaks and reactions from each person.\nThe video is 20 seconds in total duration. This must fit in 3 segments, split at each camera/shot change (not evenly by time) — one PROMPT_N per distinct action or dialogue beat.\neach segment should end where we can still clearly see the character, not at a limb part or scenery etc...."]}, {"id": 64, "type": "ModelPreviewOverrideKJ", "pos": [2165.3027299490973, 2423.6111221641286], "size": [695.3067868770345, 909.6885593546954], "flags": {}, "order": 12, "mode": 0, "inputs": [{"name": "model", "type": "MODEL", "link": 776}, {"name": "vae", "shape": 7, "type": "VAE", "link": 129}], "outputs": [{"name": "MODEL", "type": "MODEL", "links": [704]}], "properties": {"cnr_id": "comfyui-kjnodes", "ver": "996b010ae4613ae0743121ace5975830dcf8e6af", "Node name for S&R": "ModelPreviewOverrideKJ", "ue_properties": {"widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {}}, "kjPovPanelH": 146}, "widgets_values": [0, 80, true, 240, 24, ""], "color": "#1A0D3AFF", "bgcolor": "#000"}, {"id": 205, "type": "MultiImageLoader", "pos": [2165.3027299490977, 3388.1824973781163], "size": [695.306786877034, 505], "flags": {}, "order": 2, "mode": 0, "inputs": [], "outputs": [{"name": "multi_output", "type": "IMAGE", "links": []}, {"name": "image_1", "type": "IMAGE", "links": null}, {"name": "image_2", "type": "IMAGE", "links": null}, {"name": "image_3", "type": "IMAGE", "links": null}], "properties": {"cnr_id": "WhatDreamsCost-ComfyUI", "ver": "fbf22afdfce99587c80c4e8625f545deaa6c66a0", "Node name for S&R": "MultiImageLoader", "ue_properties": {"widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8"}}, "widgets_values": ["02_44_24 PM (1).png\nChatGPT Image Jul 30\n2026", 0, 0, "lanczos", "keep proportion", 32, 18, ""]}, {"id": 198, "type": "LoadImage", "pos": [6506.029047256524, 3799.8522185274655], "size": [282.798828125, 314], "flags": {}, "order": 3, "mode": 0, "inputs": [], "outputs": [{"name": "IMAGE", "type": "IMAGE", "links": null}, {"name": "MASK", "type": "MASK", "links": null}], "properties": {"cnr_id": "comfy-core", "ver": "0.28.0", "Node name for S&R": "LoadImage", "ue_properties": {"widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8"}}, "widgets_values": ["Marilyn_ref_front.png", "image"]}, {"id": 93, "type": "MarkdownNote", "pos": [-349.6846222231769, 1572.9879338337712], "size": [802.1309521227115, 1399.7927694003577], "flags": {"collapsed": false}, "order": 4, "mode": 0, "inputs": [], "outputs": [], "title": "Muse Collective - Note - START HERE", "properties": {"ue_properties": {"widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {}}}, "widgets_values": ["# MODELS AND NODES USED IN THIS WORKFLOW  \n---\n## 🟣 Load Diffusion Model\n### Download **ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors** ~25GB from [HERE](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/diffusion_models/ltx-2.3-22b-distilled_transformer_only_fp8_input_scaled_v3.safetensors)\n📁 **Place in:** `ComfyUI/models/diffusion_models`\n\n---\n## 🟣 Load CLIP\n### Download **gemma_3_12B_it_fp8_scaled.safetensors** ~13.2GB from [HERE](https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fp8_scaled.safetensors)\n\n### Download **ltx-2.3_text_projection_bf16.safetensors** ~2.3GB from [HERE](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/text_encoders/ltx-2.3_text_projection_bf16.safetensors)\n\n📁 **Place in:** `ComfyUI/models/text_encoders`\n\n---\n## 🟣 Load VAE (Video)\n### Download **LTX23_video_vae_bf16.safetensors** ~1.45GB from [HERE](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_video_vae_bf16.safetensors)\n📁 **Place in:** `ComfyUI/models/vae`\n\n---\n## 🟣 Load VAE (Audio)\n### Download **LTX23_audio_vae_bf16.safetensors** ~364MB from [HERE](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_audio_vae_bf16.safetensors)\n📁 **Place in:** `ComfyUI/models/vae`\n\n---\n## 🟣 Tiny VAE Loader (KJ)\n### Download **taeltx2_3.safetensors** ~23.5MB from [HERE](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/taeltx2_3.safetensors)\n📁 **Place in:** `ComfyUI/models/vae`\n\n---\n## 🟣 Latent Upscale Model\n### Download **ltx-2.3-spatial-upscaler-x2-1.1.safetensors** ~1GB from [HERE](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors)\n📁 **Place in:** `ComfyUI/models/latent_upscale_models`\n\n---\n## 🟣 LoRA — Crisp Enhance\n### Download **LTX2.3_Crisp_Enhance.safetensors** ~705MB from [HERE](https://huggingface.co/vrgamedevgirl84/LTX_2.3_Crisp_Enhance_Style_LoRa/resolve/main/LTX2.3_Crisp_Enhance.safetensors)\n📁 **Place in:** `ComfyUI/models/loras`\n\n---\n## 🟣 LoRA — Talking Head (AV lip-sync)\n### Download **LTX-2.3-22b-AV-LoRA-talking-head-v1.safetensors** ~428MB from [HERE](https://huggingface.co/vantagewithai/LTX-2.3-Split/resolve/main/loras/LTX-2.3-22b-AV-LoRA-talking-head-v1.safetensors)\n📁 **Place in:** `ComfyUI/models/loras`\n\n---\n## 🟣 LoRA — GalaxyAce\n### Download **GalaxyAce LoRA** from [HERE](https://civitai.com/models/2200329/galaxyace-lora)\n📁 **Place in:** `ComfyUI/models/loras`\n⚠️ Civitai may require sign-in/age verification to download, and is currently restricted for UK visitors under the Online Safety Act — you may need to access it via account login or VPN.\n\n---\n## 🟡 Optional — Distilled LoRA 384 v1.1 (disabled by default)\n### Download **ltx-2.3-22b-distilled-lora-384-1.1.safetensors** ~7.6GB from [HERE](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-22b-distilled-lora-384-1.1.safetensors)\n📁 **Place in:** `ComfyUI/models/loras`\n\n---\n## 🧩 Nodes Installed from Manager  \n- **rgthree-comfy**\n- **ComfyUI-KJNodes**\n- **ComfyUI-VideoHelperSuite**\n- **ComfyUI_LayerStyle**\n- **ComfyUI-GGUF** *(optional GGUF variant only)*\n- **Nvidia RTX Nodes** *(requires RTX-series GPU)*\n- **Muse Director V2** *(search \"muse-ltx-timeline\" in Manager)*\n\n⚠️ **MuseCollectiveColorMatch** is a private node — not in the public Manager registry, you already have it installed.\n\n---\n**If any nodes turn red, just open ComfyUI Manager and click \"Install Missing Custom Nodes.\"**"], "color": "#EB6E33FF", "bgcolor": "#3f5159"}, {"id": 73, "type": "VHS_VideoCombine", "pos": [7708.539082741354, 1792.6391779749601], "size": [487.9921519908112, 613.195552794793], "flags": {}, "order": 45, "mode": 0, "inputs": [{"label": "images", "name": "images", "type": "IMAGE", "link": 183}, {"label": "audio", "name": "audio", "shape": 7, "type": "AUDIO", "link": 721}, {"label": "meta_batch", "name": "meta_batch", "shape": 7, "type": "VHS_BatchManager", "link": null}, {"label": "vae", "name": "vae", "shape": 7, "type": "VAE", "link": null}, {"label": "frame_rate", "name": "frame_rate", "type": "FLOAT", "widget": {"name": "frame_rate"}, "link": null}, {"label": "loop_count", "name": "loop_count", "type": "INT", "widget": {"name": "loop_count"}, "link": null}, {"label": "filename_prefix", "name": "filename_prefix", "type": "STRING", "widget": {"name": "filename_prefix"}, "link": null}, {"label": "format", "name": "format", "type": "COMBO", "widget": {"name": "format"}, "link": null}, {"label": "pingpong", "name": "pingpong", "type": "BOOLEAN", "widget": {"name": "pingpong"}, "link": null}, {"label": "save_output", "name": "save_output", "type": "BOOLEAN", "widget": {"name": "save_output"}, "link": null}], "outputs": [{"label": "Filenames", "name": "Filenames", "type": "VHS_FILENAMES"}], "title": "Upscaled", "properties": {"cnr_id": "comfyui-videohelpersuite", "ver": "4ee72c065db22c9d96c2427954dc69e7b908444b", "Node name for S&R": "VHS_VideoCombine", "ue_properties": {"version": "7.8", "widget_ue_connectable": {"frame_rate": true}, "input_ue_unconnectable": {}}}, "widgets_values": {"frame_rate": 24, "loop_count": 0, "filename_prefix": "Muse/Video/MCvideoUP", "format": "video/h264-mp4", "pix_fmt": "yuv420p", "crf": 19, "save_metadata": true, "trim_to_audio": false, "pingpong": false, "save_output": true, "videopreview": {"paused": false, "hidden": false, "params": {"filename": "MCvideoUP_00647-audio.mp4", "workflow": "MCvideoUP_00647.png", "fullpath": "E:\\Muse Collective\\ComfyUI-Prime-April26\\ComfyUI-Easy-Install\\ComfyUI\\output\\Muse\\Video\\MCvideoUP_00647-audio.mp4", "format": "video/h264-mp4", "subfolder": "Muse\\Video", "type": "output", "frame_rate": 24}}}, "color": "#1A0D3AFF"}, {"id": 67, "type": "VHS_VideoCombine", "pos": [7170.336276073981, 1807.6391779749601], "size": [522.6231883303572, 850.6231883303572], "flags": {}, "order": 40, "mode": 0, "inputs": [{"name": "images", "type": "IMAGE", "link": 187}, {"name": "audio", "shape": 7, "type": "AUDIO", "link": 720}, {"name": "meta_batch", "shape": 7, "type": "VHS_BatchManager", "link": null}, {"name": "vae", "shape": 7, "type": "VAE", "link": null}], "outputs": [{"name": "Filenames", "type": "VHS_FILENAMES", "links": [748]}], "title": "Full", "properties": 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