{ "id": "0112e9af-5129-48ba-af78-92c40ac40b40", "revision": 0, "last_node_id": 724, "last_link_id": 1825, "nodes": [ { "id": 68, "type": "SaveVideo", "pos": [1480, 2270], "size": [910, 700], "flags": {}, "order": 12, "mode": 0, "inputs": [ { "name": "video", "type": "VIDEO", "link": 256 } ], "outputs": [ { "name": "video", "type": "VIDEO", "links": null } ], "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" }, "widgets_values": ["video/ltx2.3_ic_lora", "auto", "auto"] }, { "id": 79, "type": "MarkdownNote", "pos": [-2210, 2270], "size": [720, 1320], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [], "title": "Model Links", "properties": { "ue_properties": { "input_ue_unconnectable": {}, "version": "7.7", "widget_ue_connectable": {} } }, "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)\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)\n\n\n## Model Storage Location\n\n```\nπŸ“‚ ComfyUI/\nβ”œβ”€β”€ πŸ“‚ models/\nβ”‚ β”œβ”€β”€ πŸ“‚ checkpoints/\nβ”‚ β”‚ └── ltx-2.3-22b-distilled-fp8.safetensors\nβ”‚ β”œβ”€β”€ πŸ“‚ text_encoders/\nβ”‚ β”‚ └── gemma_3_12B_it_fp4_mixed.safetensors\nβ”‚ └── πŸ“‚ loras/\nβ”‚ β”œβ”€β”€ ltx-2.3-22b-ic-lora-ingredients-0.9.safetensors\nβ”‚ └── 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" ], "color": "#222", "bgcolor": "#000" }, { "id": 129, "type": "f9f61b10-b689-4d67-b4fa-0acc1d9b5390", "pos": [890, 2270], "size": [540, 680], "flags": {}, "order": 11, "mode": 0, "inputs": [ { "label": "first_frame", "name": "input", "type": "IMAGE,MASK", "link": 1805 }, { "label": "control_images", "name": "input_1", "type": "IMAGE,MASK", "link": 1824 }, { "label": "prompt", "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": null }, { "label": "prompt_enhance", "name": "value_4", "type": "BOOLEAN", "widget": { "name": "value_4" }, "link": null }, { "label": "width", "name": "value", "type": "INT", "widget": { "name": "value" }, "link": 1817 }, { "label": "height", "name": "value_1", "type": "INT", "widget": { "name": "value_1" }, "link": 1818 }, { "label": "fps", "name": "value_3", "type": "INT", "widget": { "name": "value_3" }, "link": 1809 }, { "label": "seed", "name": "noise_seed", "type": "INT", "widget": { "name": "noise_seed" }, "link": null }, { "label": "ckpt_name", "name": "ckpt_name_1", "type": "COMBO", "widget": { "name": "ckpt_name_1" }, "link": null }, { "label": "text_encoder", "name": "text_encoder", "type": "COMBO", "widget": { "name": "text_encoder" }, "link": null }, { "label": "lora", "name": "lora_name", "type": "COMBO", "widget": { "name": "lora_name" }, "link": null }, { "label": "ic_lora", "name": "lora_name_1", "type": "COMBO", "widget": { "name": "lora_name_1" }, "link": null }, { "label": "lora_strength", "name": "strength_model", "type": "FLOAT", "widget": { "name": "strength_model" }, "link": null }, { "label": "bypass_first_frame", "name": "value_2", "type": "BOOLEAN", "widget": { "name": "value_2" }, "link": null } ], "outputs": [ { "name": "VIDEO", "type": "VIDEO", "links": [256] } ], "properties": { "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"] ], "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": "0.18.1" }, "widgets_values": [] }, { "id": 698, "type": "MarkdownNote", "pos": [-1450, 2270], "size": [720, 2630], "flags": { "collapsed": false }, "order": 1, "mode": 0, "inputs": [], "outputs": [], "title": "Note: IC-LoRA", "properties": { "ue_properties": { "input_ue_unconnectable": {}, "version": "7.7", "widget_ue_connectable": {} } }, "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 β€” 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 β€” a single composite image inventorying the characters, props, and location of a scene β€” 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 β€” 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 β€” 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 β€” it expects a reference sheet as conditioning. It was trained at a single resolution / length bucket (**768Γ—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 β€” 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 **β‰₯ 121** so the reference-encoding / 121-frame read bucket is satisfied; all targets in training were β‰₯ 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 β‰₯ 121).\n\n### Prompt Format\nFrom the model card β€” 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: **768Γ—448**, **121 frames**, **24 fps** (the trained bucket β€” 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 β€” 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 β‰₯ 121 frames; shorter references break the reference-encoding bucket.\n" ], "color": "#222", "bgcolor": "#000" }, { "id": 709, "type": "RepeatImageBatch", "pos": [150, 2750], "size": [270, 110], "flags": {}, "order": 7, "mode": 0, "inputs": [ { "name": "image", "type": "IMAGE", "link": 1825 }, { "name": "amount", "type": "INT", "widget": { "name": "amount" }, "link": 1812 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [1821] } ], "properties": { "Node name for S&R": "RepeatImageBatch" }, "widgets_values": [125] }, { "id": 712, "type": "EmptyImage", "pos": [550, 2830], "size": [225, 8], "flags": { "collapsed": true }, "order": 2, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [1805] } ], "properties": { "Node name for S&R": "EmptyImage" }, "widgets_values": [512, 512, 1, 0] }, { "id": 715, "type": "PrimitiveInt", "pos": [140, 2310], "size": [270, 110], "flags": {}, "order": 3, "mode": 0, "inputs": [], "outputs": [ { "name": "INT", "type": "INT", "links": [1810] } ], "title": "Int (duration)", "properties": { "Node name for S&R": "PrimitiveInt" }, "widgets_values": [5, "fixed"] }, { "id": 716, "type": "PrimitiveInt", "pos": [150, 2480], "size": [270, 110], "flags": {}, "order": 4, "mode": 0, "inputs": [], "outputs": [ { "name": "INT", "type": "INT", "links": [1809, 1811] } ], "title": "Int (fps)", "properties": { "Node name for S&R": "PrimitiveInt" }, "widgets_values": [25, "fixed"] }, { "id": 717, "type": "ComfyMathExpression", "pos": [170, 2670], "size": [225, 8], "flags": { "collapsed": true }, "order": 6, "mode": 0, "inputs": [ { "label": "a", "name": "values.a", "type": "FLOAT,INT,BOOLEAN", "link": 1810 }, { "label": "b", "name": "values.b", "shape": 7, "type": "FLOAT,INT,BOOLEAN", "link": 1811 }, { "label": "c", "name": "values.c", "shape": 7, "type": "FLOAT,INT,BOOLEAN", "link": null } ], "outputs": [ { "name": "FLOAT", "type": "FLOAT", "links": null }, { "name": "INT", "type": "INT", "links": [1812] }, { "name": "BOOL", "type": "BOOLEAN", "links": null } ], "properties": { "Node name for S&R": "ComfyMathExpression" }, "widgets_values": ["a * b"] }, { "id": 721, "type": "GetImageSize", "pos": [540, 2610], "size": [225, 8], "flags": { "collapsed": true }, "order": 9, "mode": 0, "inputs": [ { "name": "image", "type": "IMAGE", "link": 1822 } ], "outputs": [ { "name": "width", "type": "INT", "links": [1817] }, { "name": "height", "type": "INT", "links": [1818] }, { "name": "batch_size", "type": "INT", "links": null } ], "properties": { "Node name for S&R": "GetImageSize" }, "widgets_values": [] }, { "id": 722, "type": "ResizeAndPadImage", "pos": [530, 2370], "size": [280, 170], "flags": {}, "order": 8, "mode": 0, "showAdvanced": false, "inputs": [ { "name": "image", "type": "IMAGE", "link": 1821 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [1822, 1823, 1824] } ], "title": "Resize And Pad Image (Size)", "properties": { "Node name for S&R": "ResizeAndPadImage" }, "widgets_values": [1280, 720, "black", "lanczos"] }, { "id": 723, "type": "PreviewImage", "pos": [140, 2980], "size": [650, 110], "flags": {}, "order": 10, "mode": 4, "inputs": [ { "name": "images", "type": "IMAGE", "link": 1823 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "properties": { "Node name for S&R": "PreviewImage" }, "widgets_values": [] }, { "id": 724, "type": "LoadImage", "pos": [-680, 2280], "size": [730, 660], "flags": {}, "order": 5, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [1825] }, { "name": "MASK", "type": "MASK", "links": null } ], "properties": { "Node name for S&R": "LoadImage" }, "widgets_values": ["german_shepherd_news_anchor_ref.png", "image"] } ], "links": [ [256, 129, 0, 68, 0, "VIDEO"], [1805, 712, 0, 129, 0, "IMAGE"], [1809, 716, 0, 129, 6, "INT"], [1810, 715, 0, 717, 0, "INT"], [1811, 716, 0, 717, 1, "INT"], [1812, 717, 1, 709, 1, "INT"], [1817, 721, 0, 129, 4, "INT"], [1818, 721, 1, 129, 5, "INT"], [1821, 709, 0, 722, 0, "IMAGE"], [1822, 722, 0, 721, 0, "IMAGE"], [1823, 722, 0, 723, 0, "IMAGE"], [1824, 722, 0, 129, 1, "IMAGE"], [1825, 724, 0, 709, 0, "IMAGE"] ], "groups": [ { "id": 28, "title": "Video Settings", "bounding": [100, 2240, 740, 690], "color": "#3f789e", "flags": {} } ], "definitions": { "subgraphs": [ { "id": "f9f61b10-b689-4d67-b4fa-0acc1d9b5390", "version": 1, "state": { "lastGroupId": 28, "lastNodeId": 724, "lastLinkId": 1825, "lastRerouteId": 0 }, "revision": 0, "config": {}, "name": "LTX-2.3 IC-LoRA Video Generation", "inputNode": { "id": -10, "bounding": [-160, 3060, 155.00390625, 328] }, "outputNode": { "id": -20, "bounding": [3620, 3120, 128, 68] }, "inputs": [ { "id": "6fe179c4-d96f-4383-b202-844f6de4922e", "name": "input", "type": "IMAGE,MASK", "linkIds": [1735, 1786], "localized_name": "input", "label": "first_frame", "pos": [-28.99609375, 3084] }, { "id": "e80df1ae-5f39-4f86-91bd-0467635e2f2d", "name": "input_1", "type": "IMAGE,MASK", "linkIds": [1777, 1802], "localized_name": "input_1", "label": "control_images", "pos": [-28.99609375, 3104] }, { "id": "433148fa-bf73-4ab1-81d9-09e2e38ed861", "name": "text", "type": "STRING", "linkIds": [316, 317], "label": "prompt", "pos": [-28.99609375, 3124] }, { "id": "80e8d306-4496-4641-a896-249352d68a33", "name": "value_4", "type": "BOOLEAN", "linkIds": [315], "label": "prompt_enhance", "pos": [-28.99609375, 3144] }, { "id": "36915bc8-a6ed-4d48-8619-e0e8723228e9", "name": "value", "type": "INT", "linkIds": [266], "label": "width", "pos": [-28.99609375, 3164] }, { "id": "425a36b8-91ab-41b7-81e9-496eba064ec8", "name": "value_1", "type": "INT", "linkIds": [267], "label": "height", "pos": [-28.99609375, 3184] }, { "id": "581b52ff-21c5-4774-ac2a-8f69a7e09e2e", "name": "value_3", "type": "INT", "linkIds": [269], "label": "fps", "pos": [-28.99609375, 3204] }, { "id": "d03cc171-45da-4658-99aa-77252bbcf522", "name": "noise_seed", "type": "INT", "linkIds": [1793], "label": "seed", "pos": [-28.99609375, 3224] }, { "id": "e68e61c8-905e-43ac-8c76-65ac52270a08", "name": "ckpt_name_1", "type": "COMBO", "linkIds": [272, 275, 276], "label": "ckpt_name", "pos": [-28.99609375, 3244] }, { "id": "5d065f3b-891b-499f-950b-c2df0be24536", "name": "text_encoder", "type": "COMBO", "linkIds": [273], "label": "text_encoder", "pos": [-28.99609375, 3264] }, { "id": "e9abdbac-c422-4a1e-bc0d-6b99c0730086", "name": "lora_name", "type": "COMBO", "linkIds": [1768], "label": "lora", "pos": [-28.99609375, 3284] }, { "id": "c05ba793-3f43-4594-b7df-3f17fa3f99ba", "name": "lora_name_1", "type": "COMBO", "linkIds": [1769], "label": "ic_lora", "pos": [-28.99609375, 3304] }, { "id": "b475372d-89e7-44bb-995b-647f8e29c484", "name": "strength_model", "type": "FLOAT", "linkIds": [1770], "label": "lora_strength", "pos": [-28.99609375, 3324] }, { "id": "bfc27fa2-b100-413c-9c64-d38ab1ed5a2d", "name": "value_2", "type": "BOOLEAN", "linkIds": [1804], "label": "bypass_first_frame", "pos": [-28.99609375, 3344] } ], "outputs": [ { "id": "0c8c2dc0-c67c-4bc2-9e57-6aa00db2e3a9", "name": "VIDEO", "type": "VIDEO", "linkIds": [252], "localized_name": "VIDEO", "pos": [3644, 3144] } ], "widgets": [], "nodes": [ { "id": 101, "type": "LTXVEmptyLatentAudio", "pos": [1180, 3800], "size": [280, 170], "flags": {}, "order": 1, "mode": 0, "inputs": [ { "localized_name": "audio_vae", "name": "audio_vae", "type": "VAE", "link": 205 }, { "localized_name": "frames_number", "name": "frames_number", "type": "INT", "widget": { "name": "frames_number" }, "link": 1801 }, { "localized_name": "frame_rate", "name": "frame_rate", "type": "INT", "widget": { "name": "frame_rate" }, "link": 207 } ], "outputs": [ { "localized_name": "Latent", "name": "Latent", "type": "LATENT", "links": [245] } ], "properties": { "Node name for S&R": "LTXVEmptyLatentAudio", "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": "7.5.2", "widget_ue_connectable": {} }, "ver": "0.3.68" }, "widgets_values": [97, 25, 1] }, { "id": 106, "type": "LTXVCropGuides", "pos": [2430, 2450], "size": [280, 120], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "localized_name": "positive", "name": "positive", "type": "CONDITIONING", "link": 290 }, { "localized_name": "negative", "name": "negative", "type": "CONDITIONING", "link": 292 }, { "localized_name": "latent", "name": "latent", "type": "LATENT", "link": 215 } ], "outputs": [ { "localized_name": "positive", "name": "positive", "type": "CONDITIONING", "links": [] }, { "localized_name": "negative", "name": "negative", "type": "CONDITIONING", "links": [] }, { "localized_name": "latent", "name": "latent", "type": "LATENT", "links": [211] } ], "properties": { "Node name for S&R": "LTXVCropGuides", "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": "7.5.2", "widget_ue_connectable": {} }, "ver": "0.8.2" }, "widgets_values": [] }, { "id": 108, "type": "EmptyLTXVLatentVideo", "pos": [1180, 3550], "size": [280, 200], "flags": {}, "order": 6, "mode": 0, "inputs": [ { "localized_name": "width", "name": "width", "type": 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