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        "### LORAS\n- [Image 2 Vid Adapter](https://huggingface.co/MachineDelusions/LTX-2_Image2Video_Adapter_LoRa) -  This one was trained by Fill (Machine Delusions) to force version 2.0 of the model to animate from a reference image. However, it still sort of works with the current version (2.3) to get more exaggerated motion. <br>\n\n- [Audio Reactive Lora](https://huggingface.co/100percentrobot/LTX-2.3-Audio-Reactive-LORA) - Is designed to make lights and shapes react to audio. Is meant for visuals and motion graphics, and highly experimental, but combined with a good prompt and other techniques can bring you nice effects. <br>\n\n- [Video Reasoning Lora](https://huggingface.co/LiconStudio/Ltx2.3-VBVR-lora-I2V) - This one enhance complex prompt understanding and improves motion dynamics, but at the same time stabilizes the motion. If you are looking for a realistic output this can help. If you are looking for a cartoonish style, bypass it or leave it really low (like 0.20) <br>\n\n- [IC Lora Audio Only](https://huggingface.co/fbjr/LTX-2.3-22b-IC-LoRA-Audio-Only-Context) -  It transfer the vibe of the audio: the generated speech, the energy and mannerisms on screen, and whatever cues ride along in the voice.\n\n<br> Of course you can combine them and tweak their strenght."
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        "### LORAS\n- [Image 2 Vid Adapter](https://huggingface.co/MachineDelusions/LTX-2_Image2Video_Adapter_LoRa) -  Fue entrenado por Fill (Machine Delusions) para forzar la versión 2.0 del modelo a salir de las imágenes estáticas que producía. La 2.3 ya no tiene este problema, pero añadir este LORA afecta del mismo modo fuerza al modelo a generar más movimiento) <br>\n\n- [Audio Reactive Lora](https://huggingface.co/100percentrobot/LTX-2.3-Audio-Reactive-LORA) - está diseñado para hacer que las luces y las formas reaccionen al sonido. Está pensado para crear visuales y motion graphics, por lo que es bastante experimental, pero combinado con un buen prompt y otras técnicas puede llevar a efectos bastante interesantes. <br>\n\n- [Video Reasoning Lora](https://huggingface.co/LiconStudio/Ltx2.3-VBVR-lora-I2V) - este Lora mejora la coherencia de prompts complejos, especialmente los que tienen que ver con físicas y dinámicas, pero al mismo tiempo estabiliza también el movimiento. Si estás buscando un output realista, este Lora puede ayudar bastante. Si estás buscando un estilo más cartoon, haz bypass directamente o déjalo bastante bajo (como a 0.20 aprox) <br>\n\n- [IC Lora Audio Only](https://huggingface.co/fbjr/LTX-2.3-22b-IC-LoRA-Audio-Only-Context) -  transfiere el rollito del sonido de referencia al movimiento. Mejora la generación de diálogos, afecta a la energía y a los movimientos de la escena y cualquier cosa que tenga que sincronizarse con la voz.\n\n<br> Evidentemente los puedes mezclar entre ellos y/o usarlos a distintas intensidades."
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        "### Attention to Audio\nDetermina cuánta atención presta el modelo al input de sonido. Si has añadido una canción o una frase que quieres que diga tu personaje, este parámetro hace que el modelo preste atención al sonido para sincronizarlo con la generación. Auméntalo especialmente si el personaje no dice la frase que has puesto de referencia.\n\n### Movement Sync\nHace que las áreas que se mueven en el plano lo hagan con más fuerza y de forma más exagerada. Por ejemplo, si estás haciendo un lipsync, la boca se moverá con movimientos más grandes, o tu personaje bailará con más fuerza. Ten en cuenta que incrementar este parámetro demasiado generará artefactos y errores en la imagen, así que fuérzalo solo si estás buscando un movimiento cartoon y exagerado "
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        "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\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\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\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:\n\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."
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        "## Prompting\n\nLTX is really sensitive to what are you prompting and at the same time quite \"smart\". So theres no need to describe the image you are feeding in because the model is already seeing it.\n\nSo, if you are looking for lipsync, prompt for that. Describe the mouth movement or the subject nooding at the beat, for example.\n\nSame with movement, if you are looking for dinamyc camera movements or crazy jumps, or cartoonish movement style. Describe that with details.\n\n### Lipsync\nIf you are looking for lipsync and you're plugin an input audio with clean vocals, I highly recomend you to write the phrase in the prompt, so the model looks exactly for that phrase.\n\n- Example: _[...] and he says: \"Thank you Nekodificador for this amazing workflow!\"_\n</br> </br> </br>\n\n\n\n## Strong Prompts Include\n\n**Motion description:** How the scene should move or change\n\n- Example: “Camera slowly zooms in while the character turns their head to look at the sunset”\n\n**Character actions:** What subjects in the frame should do\n- Example: “The woman smiles and waves, her hair gently blowing in the breeze”\n\n**Camera movement:** Shot type and camera motion\n- Example: “Steady tracking shot following the subject from the side”\n\n**Audio cues:** Dialogue, music, ambient sound effects\n- Example: “Soft acoustic guitar playing, distant ocean waves, seagulls calling”\n\n\nMore details in the official [Prompting Guide](https://docs.ltx.video/open-source-model/usage-guides/prompting-guide)"
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        "# Prompting\nLTX es bastante sensible a lo que le escribes en el prompt, pero a la vez es bastante \"listo\". No hace falta describir la imagen que le estás metiendo porque el modelo ya la está viendo.\n\nAsí que si buscas lipsync, haz prompt de eso. Describe el movimiento de la boca o al sujeto asintiendo al ritmo, por ejemplo.\n\nLo mismo con el movimiento: si quieres movimientos de cámara dinámicos, saltos locos o un estilo de movimiento cartoon, descríbelo con detalle.\n\n### Lipsync\nSi buscas lipsync y tienes un audio de entrada con voces limpias, te recomiendo mucho escribir la frase en el prompt, para que el modelo busque exactamente esa frase.\n\nEjemplo: [...] and he says: \"Thank you Nekodificador for this amazing workflow!\"\n\n</br></br></br>\nUn buen prompt incluye\nDescripción del movimiento: Cómo debería moverse o cambiar la escena\n\n- Ejemplo: \"La cámara hace un zoom lento hacia adelante mientras el personaje gira la cabeza para mirar el atardecer\"\n\nAcciones de los personajes: Qué deben hacer los sujetos del plano\n\n- Ejemplo: \"La mujer sonríe y saluda con la mano, su pelo moviéndose suavemente con la brisa\"\n\nMovimiento de cámara: Tipo de plano y movimiento de cámara\n\n- Ejemplo: \"Travelling lateral estable siguiendo al sujeto desde un lado\"\n\nPistas de audio: Diálogos, música, efectos de sonido ambiente\n\n- Ejemplo: \"Guitarra acústica suave, olas del océano al fondo, gaviotas\"\n\n\nTienes más detalles en la guía oficial de Prompting: [Prompting Guide](https://docs.ltx.video/open-source-model/usage-guides/prompting-guide)"
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      "outputs": [],
      "title": "ℹ️ Tips & Tricks ES",
      "properties": {
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      "widgets_values": [
        "# Controles\n\n## Inplace\nImagina que LTX Video trabaja en bloques. El método Inplace sustituye el primer frame de ese bloque por tu imagen de referencia, anclándola en su sitio para que el resto del vídeo crezca de forma natural a partir de ella. Este es el método estándar de image2video con este modelo.\n\n## Guides\nLos Guides se parecen más a un moodboard que a una instrucción estricta. En vez de reemplazar un frame, el modelo simplemente mira tu referencia y la usa como inspiración. Puede seguirla de cerca o de forma más libre dependiendo de tu configuración. Si conectas la misma guía dos veces en el mismo frame, su influencia se duplica. Este es precísamente el método que uso para amplificar el movimiento. Puedes aprovecharte de eso jugando con los ajustes de strength y compresión de imagen. <br>\n\n### Recetas rápidas\n- Si quieres mucho movimiento, mantén los valores de strength de los guides por debajo de 1.0. Eso le da al modelo más libertad creativa. Luego compensa subiendo el Attention to Audio y el Movement Sync en los ajustes principales (2 o 3 son un buen punto de partida)."
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      "mode": 0,
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      "outputs": [],
      "title": "ℹ️ Tips & Tricks EN",
      "properties": {
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        "# Controls\n\n## Inplace\nThink of LTX video as working in chunks. The Inplace method swaps the very first frame of that chunk with your reference image, locking it in place so the rest of the video grows naturally from it. This is the standard method for image-to-video with this model.\n\n## Guides\nGuides are more like a mood board than a hard instruction. Instead of replacing a frame, the model just looks at your reference and uses it as inspiration. It can follow it closely or loosely depending on your settings. If you connect the same guide image twice to the same frame, its influence doubles, which is why this method tends to amplify motion. You can use that to your advantage by playing with the strength and image compression settings.\n\n## Quick recipes\nIf you want strong movement, keep the guide strengths below 1.0. That gives the model more creative freedom. Then compensate by increasing the Attention to Audio and Movement Sync in the main settings (2 or 3 are a good starting point)."
      ],
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      "outputs": [],
      "title": "ℹ️ Frame Interpol x2 EN",
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        "## Frame Interpol x2\nThis option lets you double the frames for the second pass, giving you a smoother output while maintaining the style and motion from the first pass, without having to generate 50 or 60 fps from the get-go.\n\nIts like Hanna Montana: Best of both worlds.\n"
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      "title": "ℹ️ Frame Interpol x2 ES",
      "properties": {
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        "## Frame Interpol x2\nsta opción te permite doblar los frames en el segundo pase, dándote una salida más fluida manteniendo el estilo y el movimiento del primer pase, sin tener que generar 50 o 60 fps desde el principio.\n\nEs como Hanna Montana: best of both worlds"
      ],
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      "flags": {},
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      "mode": 0,
      "inputs": [],
      "outputs": [],
      "title": "Models",
      "properties": {
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          "widget_ue_connectable": {},
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      "widgets_values": [
        "# Downloads for RTX50 series\n\n## Model Links\n\n**Diffusion Models**\n- [ltx-2.3-22b-dev_transformer_only_mxfp8_block32.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/diffusion_models/ltx-2.3-22b-dev_transformer_only_mxfp8_block32.safetensors?download=true)\n\n\n**Text encoders**\n- [gemma_3_12B_it_fpmixed.safetensors](https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fpmixed.safetensors?download=true)\n- [ltx-2.3_text_projection_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/text_encoders/ltx-2.3_text_projection_bf16.safetensors?download=true)\n\n**VAEs**\n- [LTX23_audio_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_audio_vae_bf16.safetensors?download=true)\n- [LTX23_video_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_video_vae_bf16.safetensors?download=true)\n- [taeltx2_3.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/taeltx2_3.safetensors?download=true)\n\n**LoRAs**\n\n- [ltx-2.3-22b-distilled-lora-384-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-22b-distilled-lora-384-1.1.safetensors?download=true)\n\n\n- Kijai's 1.0 version - [ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/loras/ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors)\n\n- Kijai's 1.1 version [ltx-2.3-22b-distilled-1.1_lora-dynamic_fro09_avg_rank_111_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/loras/ltx-2.3-22b-distilled-1.1_lora-dynamic_fro09_avg_rank_111_bf16.safetensors)\n\n\n**Latent upscale models**\n\n- [ltx-2.3-spatial-upscaler-x2-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors)\n- [ltx-2.3-temporal-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-temporal-upscaler-x2-1.0.safetensors)\n\n\n## Model Storage Location\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 diffusion_models/\n│   │   └── ltx-2.3-22b-dev_transformer_only_mxfp8_block32.safetensors\n│   ├── 📂 text_encoders/\n│   │   ├── gemma_3_12B_it_fpmixed.safetensors\n│   │   └── ltx-2.3_text_projection_bf16.safetensors\n│   ├── 📂 loras/\n│   │   └── ltx-2.3-22b-distilled-lora-384-1.1.safetensors\n│   ├── 📂 vae/\n│   │   ├── ltx-2.3_video_vae_bf16.safetensors\n│   │   ├── ltx-2.3_audio_vae_bf16.safetensors\n│   │   └── taeltx2_3.safetensors\n│   └── 📂 latent_upscale_models/\n│       └── ltx-2.3-spatial-upscaler-x2-1.1.safetensors\n│       └── ltx-2.3-temporal-upscaler-x2-1.0.safetensors\n```\n"
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      "mode": 0,
      "inputs": [],
      "outputs": [],
      "title": "Models",
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      "widgets_values": [
        "# Downloads for RTX40 series\n\n## Model Links\n\n**Diffusion Models**\n- [ltx-2.3-22b-dev_transformer_only_fp8_input_scaled.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/diffusion_models/ltx-2-3-22b-dev_transformer_only_fp8_input_scaled.safetensors?download=true)\n\n\n**Text encoders**\n- [gemma_3_12B_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fp8_scaled.safetensors?download=true)\n- [ltx-2.3_text_projection_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/text_encoders/ltx-2.3_text_projection_bf16.safetensors?download=true)\n\n**VAEs**\n- [LTX23_audio_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_audio_vae_bf16.safetensors?download=true)\n- [LTX23_video_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_video_vae_bf16.safetensors?download=true)\n- [taeltx2_3.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/taeltx2_3.safetensors?download=true)\n\n**LoRAs**\n\n- [ltx-2.3-22b-distilled-lora-384-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-22b-distilled-lora-384-1.1.safetensors?download=true)\n\n- Kijai's 1.0 version - [ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/loras/ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors)\n\n- Kijai's 1.1 version [ltx-2.3-22b-distilled-1.1_lora-dynamic_fro09_avg_rank_111_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/loras/ltx-2.3-22b-distilled-1.1_lora-dynamic_fro09_avg_rank_111_bf16.safetensors)\n\n\n**Latent upscale models**\n\n- [ltx-2.3-spatial-upscaler-x2-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors)\n- [ltx-2.3-temporal-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-temporal-upscaler-x2-1.0.safetensors)\n\n## Model Storage Location\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 diffusion_models/\n│   │   └── ltx-2.3-22b-dev_transformer_only_fp8_input_scaled.safetensors\n│   ├── 📂 text_encoders/\n│   │   ├── gemma_3_12B_it_fp8_scaled.safetensors\n│   │   └── ltx-2.3_text_projection_bf16.safetensors\n│   ├── 📂 loras/\n│   │   └── ltx-2.3-22b-distilled-lora-384-1.1.safetensors\n│   ├── 📂 vae/\n│   │   ├── ltx-2.3_video_vae_bf16.safetensors\n│   │   ├── ltx-2.3_audio_vae_bf16.safetensors\n│   │   └── taeltx2_3.safetensors\n│   └── 📂 latent_upscale_models/\n│       └── ltx-2.3-spatial-upscaler-x2-1.1.safetensors\n│       └── ltx-2.3-temporal-upscaler-x2-1.0.safetensors"
      ],
      "color": "#432",
      "bgcolor": "#653"
    },
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      "order": 35,
      "mode": 0,
      "inputs": [],
      "outputs": [],
      "title": "Models",
      "properties": {
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      "widgets_values": [
        "# Downloads for RTX30 series\n\n## Model Links\n\n**Diffusion Models**\n- [ltx-2.3-22b-dev_transformer_only_fp8_scaled.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/diffusion_models/ltx-2.3-22b-dev_transformer_only_fp8_scaled.safetensors?download=true)\n\n**Text encoders**\n- [gemma_3_12B_it_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fp8_scaled.safetensors?download=true)\n- [ltx-2.3_text_projection_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/text_encoders/ltx-2.3_text_projection_bf16.safetensors?download=true)\n\n**VAEs**\n- [LTX23_audio_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_audio_vae_bf16.safetensors?download=true)\n- [LTX23_video_vae_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/LTX23_video_vae_bf16.safetensors?download=true)\n- [taeltx2_3.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/vae/taeltx2_3.safetensors?download=true)\n\n**LoRAs** \n\n- [ltx-2.3-22b-distilled-lora-384-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-22b-distilled-lora-384-1.1.safetensors?download=true)\n\n\n- Kijai's 1.0 version - [ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/loras/ltx-2.3-22b-distilled-lora-dynamic_fro09_avg_rank_105_bf16.safetensors)\n\n- Kijai's 1.1 version [ltx-2.3-22b-distilled-1.1_lora-dynamic_fro09_avg_rank_111_bf16.safetensors](https://huggingface.co/Kijai/LTX2.3_comfy/resolve/main/loras/ltx-2.3-22b-distilled-1.1_lora-dynamic_fro09_avg_rank_111_bf16.safetensors)\n\n**Latent upscale models**\n\n- [ltx-2.3-spatial-upscaler-x2-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-spatial-upscaler-x2-1.1.safetensors)\n- [ltx-2.3-temporal-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-temporal-upscaler-x2-1.0.safetensors)\n\n## Model Storage Location\n```\n📂 ComfyUI/\n├── 📂 models/\n│   ├── 📂 diffusion_models/\n│   │   └── ltx-2.3-22b-dev_transformer_only_fp8_scaled.safetensors\n│   ├── 📂 text_encoders/\n│   │   ├── gemma_3_12B_it_fp8_scaled.safetensors\n│   │   └── ltx-2.3_text_projection_bf16.safetensors\n│   ├── 📂 loras/\n│   │   └── ltx-2.3-22b-distilled-lora-384-1.1.safetensors\n│   ├── 📂 vae/\n│   │   ├── LTX23_audio_vae_bf16.safetensors\n│   │   ├── LTX23_video_vae_bf16.safetensors\n│   │   └── taeltx2_3.safetensors\n│   └── 📂 latent_upscale_models/\n│       └── ltx-2.3-spatial-upscaler-x2-1.1.safetensors\n│       └── ltx-2.3-temporal-upscaler-x2-1.0.safetensors"
      ],
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      "title": "Tutorial and socials",
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        "## Free Tutorials\n\nYou can learn how to use my workflows in my youtube channel: [Nekodificador Lab](https://www.youtube.com/@NekodificadorLab)\n\n## ComfyUI Course (Spanish)\n- [ComfyUI para profesionales](https://nekodifications.com/curso-online-comfyui-para-profesionales/)\n\n## Socials\n- [Youtube](https://youtube.com/nekodificador)\n- [Twitter](https://x.com/nekodificador)\n- [Instagram](https://instagram.com/nekodificador)\n- [Github](https://github.com/nekodificador)"
      ],
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      "title": "🔗 Important Links",
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        "- [**LTX Github Repo**](https://github.com/Lightricks/ComfyUI-LTXVideo/) - You can find loras, models, documentation and report issues\n\n- [**LTX Official Documentation**](https://docs.ltx.video/open-source-model/getting-started/overview)\n\n- [**Kijai's huggingface repo**](https://huggingface.co/Kijai/LTX2.3_comfy)\n\n- [**Nekodificador's github repo**](https://github.com/nekodificador)\n\n"
      ],
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      "type": "PathchSageAttentionKJ",
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      "inputs": [
        {
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          "type": "MODEL",
          "link": 14103
        }
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      "outputs": [
        {
          "name": "MODEL",
          "type": "MODEL",
          "links": [
            14708
          ]
        }
      ],
      "properties": {
        "Node name for S&R": "PathchSageAttentionKJ",
        "cnr_id": "comfyui-kjnodes",
        "ver": "7519171dd6b6ccea43091c6b73e42443bba11f5b",
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    },
    {
      "id": 5135,
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        "### Attention to Audio\nDetermines how much attention the model pays to the audio input. If you've added a song or a phrase you want your character to say, this parameter makes the model pay closer attention to audio synchronization with that input. Increase it specially if your character is not saying the phrase or singing the song.\n\n### Movement Sync\nMakes the areas that move more or less exaggerated. For example, lipsync with bigger mouths, or character dancing with intense moves. Keep in mind that increasing this parameter too much will likely cause artifacts and errors in the image. So only increase it when you need the movement to be very cartoonish and exaggerated. "
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