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[ 1824, 722, 0, 129, 1, "IMAGE" ], [ 1825, 724, 0, 709, 0, "IMAGE" ] ], "nodes": [ { "flags": {}, "id": 68, "inputs": [ { "link": 256, "name": "video", "type": "VIDEO" } ], "mode": 0, "order": 12, "outputs": [ { "links": null, "name": "video", "type": "VIDEO" } ], "pos": [ 1480, 2270 ], "properties": { "Node name for S&R": "SaveVideo", "cnr_id": "comfy-core", "enableTabs": false, "hasSecondTab": false, "secondTabOffset": 80, "secondTabText": "Send Back", "secondTabWidth": 65, "tabWidth": 65, "tabXOffset": 10, "ue_properties": { "input_ue_unconnectable": {}, "version": "7.7", "widget_ue_connectable": {} }, "ver": "0.14.1" }, "size": [ 910, 700 ], "type": "SaveVideo", "widgets_values": [ "video/ltx2.3_ic_lora", "auto", "auto" ] }, { "bgcolor": "#000", "color": "#222", "flags": {}, "id": 79, "inputs": [], "mode": 0, "order": 0, "outputs": [], "pos": [ -2210, 2270 ], "properties": { "ue_properties": { "input_ue_unconnectable": {}, "version": "7.7", "widget_ue_connectable": {} } }, "size": [ 720, 1320 ], "title": "Model Links", "type": "MarkdownNote", "widgets_values": [ "- Hugging Face (base): [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3/)\n- Hugging Face (Ingredients IC-LoRA): [Lightricks/LTX-2.3-22b-IC-LoRA-Ingredients](https://huggingface.co/Comfy-Org/ltx-2.3/resolve/main/split_files/loras/ltx-2.3-22b-ic-lora-ingredients-0.9.safetensors) (1.22 GB)\n- [gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors](https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/loras/gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors) (599.1 MB)\n\n\n## Model Storage Location\n\n- [Hugging Face:Comfy-Org/ltx-2.3](https://huggingface.co/Comfy-Org/ltx-2.3)\n- [ModelScope:Comfy-Org/ltx-2.3](https://modelscope.cn/models/Comfy-Org/ltx-2.3)\n- [Hugging Face:Comfy-Org/ltx-2](https://huggingface.co/Comfy-Org/ltx-2)\n- [ModelScope:Comfy-Org/ltx-2](https://modelscope.cn/models/Comfy-Org/ltx-2)\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 checkpoints/\n│ │ └── ltx-2.3-22b-distilled-fp8.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── gemma_3_12B_it_fp4_mixed.safetensors\n│ └── 📂 loras/\n│ ├── ltx-2.3-22b-ic-lora-ingredients-0.9.safetensors\n│ └── gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n" ] }, { "flags": {}, "id": 129, "inputs": [ { "label": "first_frame", "link": 1805, "name": "input", "type": "IMAGE,MASK" }, { "label": "control_images", "link": 1824, "name": "input_1", "type": "IMAGE,MASK" }, { "label": "prompt", "link": null, "name": "text", "type": "STRING", "widget": { "name": "text" } }, { "label": "prompt_enhance", "link": null, "name": "value_4", "type": "BOOLEAN", "widget": { "name": "value_4" } }, { "label": "width", "link": 1817, "name": "value", "type": "INT", "widget": { "name": "value" } }, { "label": "height", "link": 1818, "name": "value_1", "type": "INT", "widget": { "name": "value_1" } }, { "label": "fps", "link": 1809, "name": "value_3", "type": "INT", "widget": { "name": "value_3" } }, { "label": "seed", "link": null, "name": "noise_seed", "type": "INT", "widget": { "name": "noise_seed" } }, { "label": "ckpt_name", "link": null, "name": "ckpt_name_1", "type": "COMBO", "widget": { "name": "ckpt_name_1" } }, { "label": "text_encoder", "link": null, "name": "text_encoder", "type": "COMBO", "widget": { "name": "text_encoder" } }, { "label": "lora", "link": null, "name": "lora_name", "type": "COMBO", "widget": { "name": "lora_name" } }, { "label": "ic_lora", "link": null, "name": "lora_name_1", "type": "COMBO", "widget": { "name": "lora_name_1" } }, { "label": "lora_strength", "link": null, "name": "strength_model", "type": "FLOAT", "widget": { "name": "strength_model" } }, { "label": "bypass_first_frame", "link": null, "name": "value_2", "type": "BOOLEAN", "widget": { "name": "value_2" } } ], "mode": 0, "order": 11, "outputs": [ { "links": [ 256 ], "name": "VIDEO", "type": "VIDEO" } ], "pos": [ 890, 2270 ], "properties": { "cnr_id": "comfy-core", "enableTabs": false, "hasSecondTab": false, "proxyWidgets": [ [ "209", "prompt" ], [ "212", "value" ], [ "113", "value" ], [ "98", "value" ], [ "114", "value" ], [ "704", "seed" ], [ "126", "ckpt_name" ], [ "103", "text_encoder" ], [ "208", "lora_name" ], [ "195", "lora_name" ], [ "195", "strength_model" ], [ "711", "value" ] ], "secondTabOffset": 80, "secondTabText": "Send Back", "secondTabWidth": 65, "tabWidth": 65, "tabXOffset": 10, "ue_properties": { "input_ue_unconnectable": {}, "version": "7.7", "widget_ue_connectable": {} }, "ver": "0.18.1" }, "size": [ 540, 680 ], "type": "f9f61b10-b689-4d67-b4fa-0acc1d9b5390", "widgets_values": [] }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 698, "inputs": [], "mode": 0, "order": 1, "outputs": [], "pos": [ -1450, 2270 ], "properties": { "ue_properties": { "input_ue_unconnectable": {}, "version": "7.7", "widget_ue_connectable": {} } }, "size": [ 720, 2630 ], "title": "Note: IC-LoRA", "type": "MarkdownNote", "widgets_values": [ "## IC-LoRA Ingredients\n\nSources (official only):\n- Model card: [Lightricks/LTX-2.3-22b-IC-LoRA-Ingredients](https://huggingface.co/Lightricks/LTX-2.3-22b-IC-LoRA-Ingredients)\n- IC-LoRA docs: [docs.ltx.video — IC-LoRA usage guide](https://docs.ltx.video/open-source-model/usage-guides/ic-lo-ra)\n\n### What This Model Is\nFrom the model card:\n\n> This is an IC-LoRA trained on top of LTX-2.3-22B, which conditions video generation on a reference sheet — a single composite image inventorying the characters, props, and location of a scene — so that generated videos keep those elements visually consistent.\n\n\n**Model details (model card):**\n- Base Model: LTX-2.3-22B (dev)\n- Training Type: IC-LoRA (in-context LoRA)\n- Control Type: Reference-sheet conditioning — character / prop / location identity carried into the generated video\n- Reference Downscale Factor: `1` (the reference is provided at the same resolution as the output)\n- Pipeline: the reference sheet is supplied as a static video (the still sheet looped to the output's length and frame rate). Trained with a `video_to_video` strategy over reference latents; no extra color/space transforms are applied at inference.\n\n### Intended Use & Out-of-Scope\nFrom the model card:\n\n- **Intended use:** Generating short video clips that stay faithful to a supplied reference sheet — keeping recurring characters (face and costume), handled props, and the set/location consistent with the sheet while following an action described in the prompt.\n- **Out of scope:** This is not a general text-to-video model — it expects a reference sheet as conditioning. It was trained at a single resolution / length bucket (**768×448**, **121 frames**, **24 fps**); other resolutions, much longer clips, or use without a reference sheet are out of distribution. It does not reproduce identities that are absent from the supplied sheet.\n\n### Control Signal Requirements\nFrom the model card:\n\n- **Control signal type:** Reference sheet — a single composite image with one clean panel per distinct visual element (each character as a face close-up + body turnaround, each prop as a product-style render, and one clean location panel), laid out on a **black background with no text**.\n- **Expected input:** A static video built from the reference sheet, looped to match the output clip's length and frame rate, at the output resolution (downscale factor 1).\n- **Preprocessing:** Author the reference sheet, then loop the still into a static video. Frame count must be **≥ 121** so the reference-encoding / 121-frame read bucket is satisfied; all targets in training were ≥ 121 frames.\n- **Alignment:** The reference video should match the output resolution and frame rate; its frame count must be at least the output length (clamped to ≥ 121).\n\n### Prompt Format\nFrom the model card — the prompt is split into two labeled parts, matching how the model was trained:\n\n```text\nReference sheet: \n\nGenerated video: \n```\n\nAt inference, the reference sheet (as a static video) supplies *what things look like*, and the `Generated video:` portion supplies *what happens*. The model reads the reference latents in-context and renders a new clip whose characters, props, and setting match the sheet.\n\nModel-card gallery examples also show prompts labeled as `### Reference Sheet Description` / `### Target Description`.\n\n### ComfyUI Usage\nFrom the model card:\n\n1. Copy the LoRA weights into `models/loras`.\n2. Load the LTX-2.3-22B base model and add the Ingredients LoRA.\n3. Start at strength `1.0` and adjust to taste.\n4. Use an IC-LoRA / reference workflow from the LTX-2 ComfyUI repository, which already wires the reference (control) input. Connect the reference-sheet static video as the control/reference input; a generic LoRA loader that ignores the reference path will not apply the conditioning.\n\n### Recommended Settings\nFrom the model card:\n\n- LoRA strength / weight: **1.4**\n- Inference steps: **30**\n- Guidance scale: **4.0**\n- Resolution & frames: **768×448**, **121 frames**, **24 fps** (the trained bucket — best results here)\n- Prompting: use the two-part `Reference sheet: … / Generated video: …` structure. The `Reference sheet:` text should describe the panels present; the `Generated video:` text drives the action.\n- Suggested negative prompt: `worst quality, inconsistent motion, blurry, jittery, distorted`\n- Validation used spatiotemporal guidance (STG, mode `stg_v`, block 29, scale 1.0), which can help motion stability.\n\n### Tips & Troubleshooting\nFrom the model card only:\n\n- **Bigger panels carry over better:** The more space an element takes up in the reference image, the more faithfully it carries over into the generated video. Give important characters/props larger, more prominent panels rather than small or crowded ones.\n- **Identity drift:** If a character's face or costume drifts, make sure the reference sheet has a clean, front-facing close-up and full turnaround for that character, and that its panel isn't cluttered or text-laden.\n- **Element not appearing:** The model only reproduces elements present on the sheet — add a dedicated panel for any prop/character you need to persist, and describe it in the `Reference sheet:` portion of the prompt.\n- **Reference too short:** The reference static video must be ≥ 121 frames; shorter references break the reference-encoding bucket.\n" ] }, { "flags": {}, "id": 709, "inputs": [ { "link": 1825, "name": "image", "type": "IMAGE" }, { "link": 1812, "name": "amount", "type": "INT", "widget": { "name": "amount" } } ], "mode": 0, "order": 7, "outputs": [ { "links": [ 1821 ], "name": "IMAGE", "type": "IMAGE" } ], "pos": [ 150, 2750 ], "properties": { "Node name for S&R": "RepeatImageBatch" }, "size": [ 270, 110 ], "type": "RepeatImageBatch", "widgets_values": [ 125 ] }, { "flags": { "collapsed": true }, "id": 712, "inputs": [], "mode": 0, "order": 2, "outputs": [ { "links": [ 1805 ], "name": "IMAGE", "type": "IMAGE" } ], "pos": [ 550, 2830 ], "properties": { "Node name for S&R": "EmptyImage" }, "size": [ 225, 8 ], "type": "EmptyImage", "widgets_values": [ 512, 512, 1, 0 ] }, { "flags": {}, "id": 715, "inputs": [], "mode": 0, "order": 3, "outputs": [ { "links": [ 1810 ], "name": "INT", "type": "INT" } ], "pos": [ 140, 2310 ], "properties": { "Node name for S&R": "PrimitiveInt" }, "size": [ 270, 110 ], "title": "Int (duration)", "type": "PrimitiveInt", "widgets_values": [ 5, "fixed" ] }, { "flags": {}, "id": 716, "inputs": [], "mode": 0, "order": 4, "outputs": [ { "links": [ 1809, 1811 ], "name": "INT", "type": "INT" } ], "pos": [ 150, 2480 ], "properties": { "Node name for S&R": "PrimitiveInt" }, "size": [ 270, 110 ], "title": "Int (fps)", "type": "PrimitiveInt", "widgets_values": [ 25, "fixed" ] }, { "flags": { "collapsed": true }, "id": 717, "inputs": [ { "label": "a", "link": 1810, "name": "values.a", "type": "FLOAT,INT,BOOLEAN" }, { "label": "b", "link": 1811, "name": "values.b", "shape": 7, "type": "FLOAT,INT,BOOLEAN" }, { "label": "c", "link": null, "name": "values.c", "shape": 7, "type": "FLOAT,INT,BOOLEAN" } ], "mode": 0, "order": 6, "outputs": [ { "links": null, "name": "FLOAT", "type": "FLOAT" }, { "links": [ 1812 ], "name": "INT", "type": "INT" }, { "links": null, "name": "BOOL", "type": "BOOLEAN" } ], "pos": [ 170, 2670 ], "properties": { "Node name for S&R": "ComfyMathExpression" }, "size": [ 225, 8 ], "type": "ComfyMathExpression", "widgets_values": [ "a * b" ] }, { "flags": { "collapsed": true }, "id": 721, "inputs": [ { "link": 1822, "name": "image", "type": "IMAGE" } ], "mode": 0, "order": 9, "outputs": [ { "links": [ 1817 ], "name": "width", "type": "INT" }, { "links": [ 1818 ], "name": "height", "type": "INT" }, { "links": null, "name": "batch_size", "type": "INT" } ], "pos": [ 540, 2610 ], "properties": { "Node name for S&R": "GetImageSize" }, "size": [ 225, 8 ], "type": "GetImageSize", "widgets_values": [] }, { "flags": {}, "id": 722, "inputs": [ { "link": 1821, "name": "image", "type": "IMAGE" } ], "mode": 0, "order": 8, "outputs": [ { "links": [ 1822, 1823, 1824 ], "name": "IMAGE", "type": "IMAGE" } ], "pos": [ 530, 2370 ], "properties": { "Node name for S&R": "ResizeAndPadImage" }, "showAdvanced": false, "size": [ 280, 170 ], "title": "Resize And Pad Image (Size)", "type": "ResizeAndPadImage", "widgets_values": [ 1280, 720, "black", "lanczos" ] }, { "flags": {}, "id": 723, "inputs": [ { "link": 1823, "name": "images", "type": "IMAGE" } ], "mode": 4, "order": 10, "outputs": [ { "links": null, "name": "images", "type": "IMAGE" } ], "pos": [ 140, 2980 ], "properties": { "Node name for S&R": "PreviewImage" }, "size": [ 650, 110 ], "type": "PreviewImage", "widgets_values": [] }, { "flags": {}, "id": 724, "inputs": [], "mode": 0, "order": 5, "outputs": [ { "links": [ 1825 ], "name": "IMAGE", "type": "IMAGE" }, { "links": null, "name": "MASK", "type": "MASK" } ], "pos": [ -680, 2280 ], "properties": { "Node name for S&R": "LoadImage" }, "size": [ 730, 660 ], "type": "LoadImage", "widgets_values": [ "german_shepherd_news_anchor_ref.png", "image" ] } ], "revision": 0, "version": 0.4 }