Duplicate from RuneXX/LTX-2.3-Workflows

Co-authored-by: Rune <RuneXX@users.noreply.huggingface.co>

LTX-2.3_-_T2V_Single_Pass.json

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+        "Node name for S&R": "SimpleCalculatorKJ"
+      },
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+        "1+ 8*(round(a*b)/8)"
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+      "id": 291,
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+      "flags": {},
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+      "inputs": [],
+      "outputs": [
+        {
+          "name": "value",
+          "type": "INT",
+          "links": [
+            532
+          ]
+        }
+      ],
+      "title": "LENGTH (in seconds)",
+      "properties": {
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+        "ver": "c6ce76d00bb8177d1b0286cad891df08eff5226e",
+        "Node name for S&R": "INTConstant"
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+          "name": "MODEL",
+          "type": "MODEL",
+          "links": []
+        }
+      ],
+      "title": "Get_model_with_lora",
+      "properties": {},
+      "widgets_values": [
+        "model_with_lora"
+      ]
+    },
+    {
+      "id": 196,
+      "type": "VAELoaderKJ",
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+          "name": "VAE",
+          "type": "VAE",
+          "links": [
+            443
+          ]
+        }
+      ],
+      "title": "VAELoader KJ (audio VAE)",
+      "properties": {
+        "cnr_id": "comfyui-kjnodes",
+        "ver": "487c7d86a0230aae3d8c0a37d517159b73834f85",
+        "Node name for S&R": "VAELoaderKJ"
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+        "main_device",
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+      "mode": 0,
+      "inputs": [
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+          "type": "VAE",
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+        }
+      ],
+      "outputs": [
+        {
+          "name": "*",
+          "type": "*",
+          "links": null
+        }
+      ],
+      "title": "Set_vae_tiny",
+      "properties": {
+        "previousName": "vae_tiny"
+      },
+      "widgets_values": [
+        "vae_tiny"
+      ]
+    },
+    {
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+      "title": "Video settings",
+      "properties": {},
+      "widgets_values": [
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+      "color": "#222",
+      "bgcolor": "#000"
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+          "type": "VAE",
+          "links": [
+            611
+          ]
+        }
+      ],
+      "title": "Tiny VAE (for sampler previews)",
+      "properties": {
+        "cnr_id": "comfy-core",
+        "ver": "0.16.3",
+        "Node name for S&R": "VAELoader"
+      },
+      "widgets_values": [
+        "vae_approx\\taeltx2_3.safetensors"
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+      "color": "#1f1f48",
+      "bgcolor": "rgba(24,24,27,.9)",
+      "ndSuperSelectorEnabled": false,
+      "ndPowerEnabled": false
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+    {
+      "id": 184,
+      "type": "VAELoader",
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+      "size": [
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+          "name": "VAE",
+          "type": "VAE",
+          "links": [
+            442
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+        }
+      ],
+      "title": "Load VAE (video VAE)",
+      "properties": {
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+        "ver": "0.8.2",
+        "Node name for S&R": "VAELoader"
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+      "color": "#1f1f48",
+      "bgcolor": "rgba(24,24,27,.9)",
+      "ndSuperSelectorEnabled": false,
+      "ndPowerEnabled": false
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+          "type": "LATENT",
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+          "name": "video_latent",
+          "type": "LATENT",
+          "links": [
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+        {
+          "name": "audio_latent",
+          "type": "LATENT",
+          "links": [
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+        "tabXOffset": 10,
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+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65
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+      "widgets_values": []
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+          "type": "MODEL",
+          "links": [
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+      "title": "Get_model",
+      "properties": {},
+      "widgets_values": [
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+          "type": "CONDITIONING",
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+            624
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+      "title": "Get_negative",
+      "properties": {},
+      "widgets_values": [
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+    {
+      "id": 342,
+      "type": "LTX2_NAG",
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+      "mode": 0,
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+        {
+          "name": "nag_cond_video",
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+          "type": "CONDITIONING",
+          "link": 623
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+        {
+          "name": "nag_cond_audio",
+          "shape": 7,
+          "type": "CONDITIONING",
+          "link": 624
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+          "links": [
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+      "properties": {
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+        "Node name for S&R": "LTX2_NAG"
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+    {
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+      "type": "GetNode",
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+      "flags": {
+        "collapsed": true
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+      "order": 17,
+      "mode": 0,
+      "inputs": [],
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+          "name": "FLOAT",
+          "type": "FLOAT",
+          "links": [
+            600
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+      "title": "Get_fps",
+      "properties": {},
+      "widgets_values": [
+        "fps"
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+    },
+    {
+      "id": 226,
+      "type": "SetNode",
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+          "type": "*",
+          "links": null
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+      ],
+      "title": "Set_positive",
+      "properties": {
+        "previousName": "positive"
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+      "widgets_values": [
+        "positive"
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+      "color": "#38291f",
+      "bgcolor": "rgba(24,24,27,.9)"
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+      "type": "SetNode",
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+          "link": 456
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+      "outputs": [
+        {
+          "name": "*",
+          "type": "*",
+          "links": null
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+      ],
+      "title": "Set_negative",
+      "properties": {
+        "previousName": "negative"
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+      "widgets_values": [
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+      "color": "#38291f",
+      "bgcolor": "rgba(24,24,27,.9)"
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+          "type": "CONDITIONING",
+          "link": 286
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+        {
+          "name": "negative",
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+          "link": 287
+        },
+        {
+          "name": "frame_rate",
+          "type": "FLOAT",
+          "widget": {
+            "name": "frame_rate"
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+          "link": 600
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+      "outputs": [
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+          "type": "CONDITIONING",
+          "links": [
+            455
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+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
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+        "ver": "0.3.56",
+        "Node name for S&R": "LTXVConditioning",
+        "enableTabs": false,
+        "tabWidth": 65,
+        "tabXOffset": 10,
+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65
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+          "type": "MODEL",
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+      "outputs": [
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+          "name": "*",
+          "type": "*",
+          "links": null
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+      "title": "Set_model_with_lora",
+      "properties": {
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+      "widgets_values": [
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+          "type": "STRING",
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+        "cnr_id": "comfy-core",
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+          "type": "CLIP",
+          "links": []
+        }
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+      "title": "Get_clip",
+      "properties": {},
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+      "title": "LTX-2 PROMPT INSTRUCT",
+      "properties": {
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+      "widgets_values": [
+        "You are a Creative Assistant writing concise, action-focused image-to-video prompts. Given an image (first frame) and user Raw Input Prompt, generate a prompt to guide video generation from that image.\n\n#### Guidelines:\n- Analyze the Image: Identify Subject, Setting, Elements, Style and Mood.\n- Follow user Raw Input Prompt: Include all requested motion, actions, camera movements, audio, and details. If in conflict with the image, prioritize user request while maintaining visual consistency (describe transition from image to user's scene).\n- Describe only changes from the image: Don't reiterate established visual details. Inaccurate descriptions may cause scene cuts.\n- Active language: Use present-progressive verbs (\"is walking,\" \"speaking\"). If no action specified, describe natural movements.\n- Chronological flow: Use temporal connectors (\"as,\" \"then,\" \"while\").\n- Audio layer: Describe complete soundscape throughout the prompt alongside actions—NOT at the end. Align audio intensity with action tempo. Include natural background audio, ambient sounds, effects, speech or music (when requested). Be specific (e.g., \"soft footsteps on tile\") not vague (e.g., \"ambient sound\").\n- Speech (only when requested): Provide exact words in quotes with character's visual/voice characteristics (e.g., \"The tall man speaks in a low, gravelly voice\"), language if not English and accent if relevant. If general conversation mentioned without text, generate contextual quoted dialogue. (i.e., \"The man is talking\" input -> the output should include exact spoken words, like: \"The man is talking in an excited voice saying: 'You won't believe what I just saw!' His hands gesture expressively as he speaks, eyebrows raised with enthusiasm. The ambient sound of a quiet room underscores his animated speech.\")\n- Style: Include visual style at beginning: \"Style: <style>, <rest of prompt>.\" If unclear, omit to avoid conflicts.\n- Visual and audio only: Describe only what is seen and heard. NO smell, taste, or tactile sensations.\n- Restrained language: Avoid dramatic terms. Use mild, natural, understated phrasing.\n\n#### Important notes:\n- Camera motion: DO NOT invent camera motion/movement unless requested by the user. Make sure to include camera motion only if specified in the input.\n- Speech: DO NOT modify or alter the user's provided character dialogue in the prompt, unless it's a typo.\n- No timestamps or cuts: DO NOT use timestamps or describe scene cuts unless explicitly requested.\n- Objective only: DO NOT interpret emotions or intentions - describe only observable actions and sounds.\n- Format: DO NOT use phrases like \"The scene opens with...\" / \"The video starts...\". Start directly with Style (optional) and chronological scene description.\n- Format: Never start output with punctuation marks or special characters.\n- DO NOT invent dialogue unless the user mentions speech/talking/singing/conversation.\n- Your performance is CRITICAL. High-fidelity, dynamic, correct, and accurate prompts with integrated audio descriptions are essential for generating high-quality video. Your goal is flawless execution of these rules.\n\n#### Output Format (Strict):\n- Single concise paragraph in natural English. NO titles, headings, prefaces, sections, code fences, or Markdown.\n- If unsafe/invalid, return original user prompt. Never ask questions or clarifications.\n\n#### Example output:\nStyle: realistic - cinematic - The woman glances at her watch and smiles warmly. She speaks in a cheerful, friendly voice, \"I think we're right on time!\" In the background, a café barista prepares drinks at the counter. The barista calls out in a clear, upbeat tone, \"Two cappuccinos ready!\" The sound of the espresso machine hissing softly blends with gentle background chatter and the light clinking of cups on saucers. \n\nUSER PROMPT BELOW: \n___________________________________________________"
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+          "link": 441
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+      ],
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+          "type": "CONDITIONING",
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+        "hasSecondTab": false,
+        "secondTabText": "Send Back",
+        "secondTabOffset": 80,
+        "secondTabWidth": 65
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+      "widgets_values": [
+        "blurry, oversaturated, pixelated, low resolution, grainy, distorted, noise, compression artifacts, jpeg artifacts, glitches, watermark, text, logo, signature, copyright, subtitles, distorted sound, saturated sound, loud"
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+      "color": "#422342",
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+          "name": "latent_upscale_model",
+          "shape": 7,
+          "type": "LATENT_UPSCALE_MODEL",
+          "link": null
+        },
+        {
+          "name": "vae",
+          "shape": 7,
+          "type": "VAE",
+          "link": 617
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+      ],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            625
+          ]
+        }
+      ],
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+        "ver": "ff79c7332d7ea4aa85097a88fb09359f28cb487e",
+        "Node name for S&R": "LTX2SamplingPreviewOverride"
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+      "type": "Fast Groups Bypasser (rgthree)",
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+      "mode": 0,
+      "inputs": [],
+      "outputs": [
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+          "name": "OPT_CONNECTION",
+          "type": "*",
+          "links": null
+        }
+      ],
+      "title": "ENABLE PROMPT ENHANCER",
+      "properties": {
+        "matchColors": "",
+        "matchTitle": "Prompt Enhancer *",
+        "showNav": true,
+        "showAllGraphs": true,
+        "sort": "position",
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+        "toggleRestriction": "default"
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+      "color": "#008181",
+      "bgcolor": "rgba(24,24,27,.9)"
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+    {
+      "id": 251,
+      "type": "MarkdownNote",
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+      "order": 28,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "About  Models",
+      "properties": {},
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+        "MODELS DOWNLOAD: \n\n\nhttps://huggingface.co/Kijai/LTX2.3_comfy\n\nText encoder : https://huggingface.co/Comfy-Org/ltx-2 \n\nDISTILLED LORA:\nOnly use this if using the DEV model as main model. For low step (use Dev as if it was distilled), set the lora strenght to 0.5-0.6.    For higher step count, and CFG, set the lora steps to 0.2 as per LTX  own recommendations. Feel free to experiment . \n\nIf you need more model info and where to find and where to save the models :    https://huggingface.co/RuneXX/LTX-2.3-Workflows/discussions/10"
+      ],
+      "color": "#222",
+      "bgcolor": "#000"
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+    {
+      "id": 250,
+      "type": "MarkdownNote",
+      "pos": [
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+      "order": 29,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "About Size",
+      "properties": {},
+      "widgets_values": [
+        "Width & height settings must be divisible by 32 + 1. \nFrame count must be divisible by 8 + 1. \n\n\nRunning with invalid parameters **will not cause errors**. Instead, the flow will silently choose the closest valid parameters. \n\nBy default, we are using 720p resolution. You can try 1920*1088 if you have a powerful GPU."
+      ],
+      "color": "#222",
+      "bgcolor": "#000"
+    },
+    {
+      "id": 253,
+      "type": "MarkdownNote",
+      "pos": [
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+      "size": [
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+      "flags": {
+        "collapsed": false
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+      "order": 30,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "Prompting LTX-2",
+      "properties": {},
+      "widgets_values": [
+        "## LTX-2 Prompting Tips\n1. **Core Actions**: Describe events and actions as they occur over time  \n2. **Audio**: Describe sounds and dialogue needed for the scene  \n3. **Reference Image**: Do not repeat details already present  \n4. **Consistency**: Avoid instructions that do not match the reference image, as this will degrade results"
+      ],
+      "color": "#222",
+      "bgcolor": "#000"
+    },
+    {
+      "id": 326,
+      "type": "MarkdownNote",
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+      "flags": {
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+      "order": 31,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "User Made Loras",
+      "properties": {},
+      "widgets_values": [
+        "If using some user made LTX-2 loras they sometimes are not trained on audio, so it will produce very noisy audio outputs. Try use KJNodes LTX-2 Lora Loader Advanced in such cases, and set the non video strenght to zero\n"
+      ],
+      "color": "#222",
+      "bgcolor": "#000"
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+    {
+      "id": 333,
+      "type": "MarkdownNote",
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+      "inputs": [],
+      "outputs": [],
+      "title": "Sampler Preview",
+      "properties": {},
+      "widgets_values": [
+        "Tiny VAE for sampler previews. \nOptionally you can drop this for a lower res latent RGB built into the node \n\nhttps://github.com/madebyollin/taehv/blob/main/safetensors/taeltx2_3.safetensors"
+      ],
+      "color": "#222",
+      "bgcolor": "#000"
+    },
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+      "title": "Prompt Enhancer (Optional)",
+      "properties": {},
+      "widgets_values": [
+        "This automagically enhances your prompt using the already loaded Gemma model. But it can be a bit sensitive to having correct Gemma if using GGUF models. Alternatively you can bypass/disable  this feature "
+      ],
+      "color": "#222",
+      "bgcolor": "#000"
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+        "class_type": "CheckpointLoaderSimple",
+        "_meta": {
+          "title": "Load Checkpoint"
+        }
+      },
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+          "max_length": 1024
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+        "class_type": "LTXVGemmaCLIPModelLoader",
+        "_meta": {
+          "title": "🅛🅣🅧 Gemma 3 Model Loader"
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+          "text": "A medium close-up shot features a Caucasian man with a closely shaven head and face, wearing a black baseball cap with \"PNTR\" in white letters on the front, and a dark grey t-shirt with \"JUST DO IT\" visible across his chest. A small black microphone is clipped to his shirt collar. He is positioned slightly to the left of the frame, looking intently downwards and to his right, his eyes focused off-camera. His facial expression is one of deep concentration, with his brow slightly furrowed. As he looks down, a quick sniff sound is heard, and then he speaks with a deep male voice and a slightly frustrated tone, saying, \"I think it's so bad.\" The camera remains static throughout, maintaining a shallow depth of field, which keeps the man in sharp focus while the background is softly blurred, revealing a light-colored wall with white wooden shelving or trim, and a partially open white wooden door on the right. After a brief pause, another short, audible sniff is heard. The man then continues to speak, his voice maintaining the same quality, as he states, \"So bad. So bad.\" He elaborates further, emphasizing his point with a final statement, \"This got to be, it's got to be the worst tool I've ever seen.\"",
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+        "_meta": {
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+          "text": "blurry, out of focus, overexposed, underexposed, low contrast, washed out colors, excessive noise, grainy texture, poor lighting, flickering, motion blur, distorted proportions, unnatural skin tones, deformed facial features, asymmetrical face, missing facial features, extra limbs, disfigured hands, wrong hand count, artifacts around text, unreadable text on shirt or hat, incorrect lettering on cap (“PNTR”), incorrect t-shirt slogan (“JUST DO IT”), missing microphone, misplaced microphone, inconsistent perspective, camera shake, incorrect depth of field, background too sharp, background clutter, distracting reflections, harsh shadows, inconsistent lighting direction, color banding, cartoonish rendering, 3D CGI look, unrealistic materials, uncanny valley effect, incorrect ethnicity, wrong gender, exaggerated expressions, smiling, laughing, exaggerated sadness, wrong gaze direction, eyes looking at camera, mismatched lip sync, silent or muted audio, distorted voice, robotic voice, echo, background noise, off-sync audio, missing sniff sounds, incorrect dialogue, added dialogue, repetitive speech, jittery movement, awkward pauses, incorrect timing, unnatural transitions, inconsistent framing, tilted camera, missing door or shelves, missing shallow depth of field, flat lighting, inconsistent tone, cinematic oversaturation, stylized filters, or AI artifacts.",
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+        "class_type": "KSamplerSelect",
+        "_meta": {
+          "title": "KSamplerSelect"
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+        "class_type": "RandomNoise",
+        "_meta": {
+          "title": "RandomNoise"
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+        },
+        "class_type": "LTXVAudioVAELoader",
+        "_meta": {
+          "title": "🅛🅣🅧 LTXV Audio VAE Loader"
+        }
+      },
+      "14": {
+        "inputs": {
+          "samples": [
+            "29",
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+          "audio_vae": [
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+        },
+        "class_type": "LTXVAudioVAEDecode",
+        "_meta": {
+          "title": "🅛🅣🅧 LTXV Audio VAE Decode"
+        }
+      },
+      "15": {
+        "inputs": {
+          "frame_rate": [
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+            0
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+          "loop_count": 0,
+          "filename_prefix": "AnimateDiff",
+          "format": "video/h264-mp4",
+          "pix_fmt": "yuv420p",
+          "crf": 19,
+          "save_metadata": true,
+          "trim_to_audio": false,
+          "pingpong": false,
+          "save_output": true,
+          "images": [
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+          ],
+          "audio": [
+            "14",
+            0
+          ]
+        },
+        "class_type": "VHS_VideoCombine",
+        "_meta": {
+          "title": "Video Combine 🎥🅥🅗🅢"
+        }
+      },
+      "17": {
+        "inputs": {
+          "skip_blocks": "29",
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+        "class_type": "MultimodalGuider",
+        "_meta": {
+          "title": "🅛🅣🅧 Multimodal Guider"
+        }
+      },
+      "18": {
+        "inputs": {
+          "modality": "VIDEO",
+          "cfg": 3,
+          "stg": 0,
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+        "class_type": "GuiderParameters",
+        "_meta": {
+          "title": "🅛🅣🅧 Guider Parameters"
+        }
+      },
+      "19": {
+        "inputs": {
+          "modality": "AUDIO",
+          "cfg": 7,
+          "stg": 0,
+          "rescale": 0,
+          "modality_scale": 3
+        },
+        "class_type": "GuiderParameters",
+        "_meta": {
+          "title": "🅛🅣🅧 Guider Parameters"
+        }
+      },
+      "21": {
+        "inputs": {
+          "audioUI": "",
+          "audio": [
+            "14",
+            0
+          ]
+        },
+        "class_type": "PreviewAudio",
+        "_meta": {
+          "title": "PreviewAudio"
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+        "class_type": "LTXVConditioning",
+        "_meta": {
+          "title": "LTXVConditioning"
+        }
+      },
+      "23": {
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+        "_meta": {
+          "title": "Float Constant"
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+          "batch_size": 1
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+        "class_type": "LTXVEmptyLatentAudio",
+        "_meta": {
+          "title": "🅛🅣🅧 LTXV Empty Latent Audio"
+        }
+      },
+      "27": {
+        "inputs": {
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+        },
+        "class_type": "INTConstant",
+        "_meta": {
+          "title": "INT Constant"
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+      },
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+          "model": [
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+        },
+        "class_type": "LTXVConcatAVLatent",
+        "_meta": {
+          "title": "🅛🅣🅧 LTXV Concat AV Latent"
+        }
+      },
+      "29": {
+        "inputs": {
+          "av_latent": [
+            "41",
+            0
+          ],
+          "model": [
+            "28",
+            1
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+        },
+        "class_type": "LTXVSeparateAVLatent",
+        "_meta": {
+          "title": "🅛🅣🅧 LTXV Separate AV Latent"
+        }
+      },
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+        "_meta": {
+          "title": "SamplerCustomAdvanced"
+        }
+      },
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+          "title": "FloatToInt"
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+          "height": 512,
+          "length": [
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+          "batch_size": 1
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+        "class_type": "EmptyLTXVLatentVideo",
+        "_meta": {
+          "title": "EmptyLTXVLatentVideo"
+        }
+      },
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+          "torch_compile": true,
+          "disable_backup": false,
+          "model": [
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+        "class_type": "LTXVSequenceParallelMultiGPUPatcher",
+        "_meta": {
+          "title": "LTXVSequenceParallelMultiGPUPatcher"
+        }
+      },
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+          "strength": 1
+        },
+        "class_type": "LTXVAddGuide",
+        "_meta": {
+          "title": "LTXVAddGuide"
+        }
+      }
+    },
+    "comfy_fork_version": "feature/av_inference@a6994ed1",
+    "VHS_latentpreview": false,
+    "VHS_latentpreviewrate": 0,
+    "VHS_MetadataImage": false,
+    "VHS_KeepIntermediate": false
+  },
+  "version": 0.4
+}

README.md

@@ -0,0 +1,78 @@
+---
+tags:
+- ltx
+- ltx-2
+- comfyui
+- comfy
+- gguf
+- ltx-video
+- ltx-2-3
+- ltxv
+- text-to-video
+- image-to-video
+- audio-to-video
+- video-to-video
+---
+<video controls>
+  <source src="https://cdn-uploads.huggingface.co/production/uploads/64afc36a09727d75e9ca79aa/UisZ7XyIYhQgcnIKnt8h0.mp4" type="video/mp4">
+  Your browser does not support the video tag.
+</video>
+
+The workflows are based on the extracted models from https://huggingface.co/Kijai/LTX2.3_comfy
+The extracted models might run easier on your computer (as separate files). 
+(but you can easily swap out the model loader for the ComfyUI default model loader if you want to load the checkpoint with "all in one" vae built-in etc) 
+
+
+**LTX-2.3 Main Model Downloads (split models):**
+- Main split models used in these workflows (LTX-2.3 dev & distilled safetensor, embeddings, audio & video vae & tiny vae):
+https://huggingface.co/Kijai/LTX2.3_comfy
+
+**Gemma - either safetensor or GGUF:**
+1) Gemma 3 12B it safetensor: https://huggingface.co/Comfy-Org/ltx-2/tree/main/split_files/text_encoders
+
+2) Gemma 3 12B it GGUF: https://huggingface.co/unsloth/gemma-3-12b-it-GGUF/ 
+
+**Upscale Model**
+1) ltx-2.3-spatial-upscaler (only need the 2x file) - :  https://huggingface.co/Lightricks/LTX-2.3/tree/main  
+
+
+**LTX-2.3 GGUF models (for GGUF workflows)** - one of the source below:
+
+1) Quantstack: https://huggingface.co/QuantStack/LTX-2.3-GGUF
+2) Unsloth : https://huggingface.co/unsloth/LTX-2.3-GGUF
+3) Vantage : https://huggingface.co/vantagewithai/LTX-2.3-GGUF 
+
+
+**Tiny Vae by madebyollin (for sampler previews)**:
+(Optional/Recommended. Without this vae you still get previews with latentrgb from KJnodes, at a lower res) 
+
+
+
+If you are unsure where to put the files see <a href="https://huggingface.co/RuneXX/LTX-2.3-Workflows/discussions/10
+">here</a>
+
+---- 
+
+**Needed nodes:**
+
++ https://github.com/kijai/ComfyUI-KJNodes  (NB! Must be up to date for LTX-2 support)
+
++ https://github.com/city96/ComfyUI-GGUF (NB! Must be up to date for LTX-2 support)
+
++ ComfyUI itself must be updated to very latest
+
+
+---- 
+
+**LTX-2.3**
+
+Lighttricks LTX-2.3 main repro: https://huggingface.co/Lightricks/LTX-2.3  
+Lightricks LTX-2.3 Collection (loras etc): https://huggingface.co/collections/Lightricks/ltx-23 
+
+---- 
+
+More workflows :
+
+ComfyUI Official Workflows : https://blog.comfy.org/p/ltx-23-day-0-supporte-in-comfyui 
+
+LTX-2 Video Official Workflows : https://github.com/Lightricks/ComfyUI-LTXVideo/tree/master/example_workflows/2.3