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"pos": [ 1150, 2300 ], "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": [ 990, 150 ], "type": "SaveVideo", "widgets_values": [ "video/ltx2.3_ic_lora", "auto", "auto", "auto" ], "widgets_values_named": { "codec": "auto", "filename_prefix": "video/ltx2.3_ic_lora", "format": "auto", "format.codec": "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": [ "- Huggingface: [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3/)\n- Github: [LTX-2](https://github.com/Lightricks/LTX-2)\n- IC-LoRA model page: [Lightricks/LTX-2.3-22b-IC-LoRA-Union-Control](https://huggingface.co/Lightricks/LTX-2.3-22b-IC-LoRA-Union-Control)\n\n## LTX-2.3 Prompting Tips\n\n1. **Core Actions**: Describe events and actions as they occur over time \n2. **Visual Details**: Describe all visual details you want to appear in the video \n3. **Audio**: Describe sounds and dialogue needed for the scene\n\n## Report LTX-2.3 Issues\nTo report any issues when running this workflow, [go to GitHub](https://github.com/Lightricks/ComfyUI-LTXVideo/issues)\n\nGuide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\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- [Hugging Face:Comfy-Org/MoGe](https://huggingface.co/Comfy-Org/MoGe)\n- [ModelScope:Comfy-Org/MoGe](https://modelscope.cn/models/Comfy-Org/MoGe)\n\n**checkpoints**\n\n- [ltx-2.3-22b-distilled-fp8.safetensors](https://huggingface.co/Lightricks/LTX-2.3-fp8/resolve/main/ltx-2.3-22b-distilled-fp8.safetensors) (27.5 GB)\n\n**text_encoders**\n\n- [gemma_3_12B_it_fp4_mixed.safetensors](https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fp4_mixed.safetensors) (8.8 GB)\n\n**loras**\n\n- [ltx-2.3-22b-ic-lora-union-control-ref0.5.safetensors](https://huggingface.co/Lightricks/LTX-2.3-22b-IC-LoRA-Union-Control/resolve/main/ltx-2.3-22b-ic-lora-union-control-ref0.5.safetensors) (624.1 MB)\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**geometry_estimation**\n\n- [moge_2_vitl_normal_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/geometry_estimation/moge_2_vitl_normal_fp16.safetensors) (631.2 MB)\n\n\n## Model Storage Location\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-union-control-ref0.5.safetensors\n│ │ └── gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors\n│ └── 📂 geometry_estimation/\n│ └── moge_2_vitl_normal_fp16.safetensors\n```" ], "widgets_values_named": { "text": "- Huggingface: [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3/)\n- Github: [LTX-2](https://github.com/Lightricks/LTX-2)\n- IC-LoRA model page: [Lightricks/LTX-2.3-22b-IC-LoRA-Union-Control](https://huggingface.co/Lightricks/LTX-2.3-22b-IC-LoRA-Union-Control)\n\n## LTX-2.3 Prompting Tips\n\n1. **Core Actions**: Describe events and actions as they occur over time \n2. **Visual Details**: Describe all visual details you want to appear in the video \n3. **Audio**: Describe sounds and dialogue needed for the scene\n\n## Report LTX-2.3 Issues\nTo report any issues when running this workflow, [go to GitHub](https://github.com/Lightricks/ComfyUI-LTXVideo/issues)\n\nGuide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\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- [Hugging Face:Comfy-Org/MoGe](https://huggingface.co/Comfy-Org/MoGe)\n- [ModelScope:Comfy-Org/MoGe](https://modelscope.cn/models/Comfy-Org/MoGe)\n\n**checkpoints**\n\n- [ltx-2.3-22b-distilled-fp8.safetensors](https://huggingface.co/Lightricks/LTX-2.3-fp8/resolve/main/ltx-2.3-22b-distilled-fp8.safetensors) (27.5 GB)\n\n**text_encoders**\n\n- [gemma_3_12B_it_fp4_mixed.safetensors](https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it_fp4_mixed.safetensors) (8.8 GB)\n\n**loras**\n\n- [ltx-2.3-22b-ic-lora-union-control-ref0.5.safetensors](https://huggingface.co/Lightricks/LTX-2.3-22b-IC-LoRA-Union-Control/resolve/main/ltx-2.3-22b-ic-lora-union-control-ref0.5.safetensors) (624.1 MB)\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**geometry_estimation**\n\n- [moge_2_vitl_normal_fp16.safetensors](https://huggingface.co/Comfy-Org/MoGe/resolve/main/geometry_estimation/moge_2_vitl_normal_fp16.safetensors) (631.2 MB)\n\n\n## Model Storage Location\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-union-control-ref0.5.safetensors\n│ │ └── gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors\n│ └── 📂 geometry_estimation/\n│ └── moge_2_vitl_normal_fp16.safetensors\n```" } }, { "flags": {}, "id": 129, "inputs": [ { "label": "first_frame", "link": 297, "name": "input", "type": "IMAGE,MASK" }, { "label": "control_images", "link": 1772, "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": null, "name": "value", "type": "INT", "widget": { "name": "value" } }, { "label": "height", "link": null, "name": "value_1", "type": "INT", "widget": { "name": "value_1" } }, { "label": "fps", "link": null, "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" } } ], "mode": 0, "order": 6, "outputs": [ { "links": [ 256 ], "name": "VIDEO", "type": "VIDEO" } ], "pos": [ 540, 2300 ], "properties": { "cnr_id": "comfy-core", "enableTabs": false, "hasSecondTab": false, "previewExposures": [ { "name": "$$canvas-image-preview", "sourceNodeId": "704", "sourcePreviewName": "$$canvas-image-preview" } ], "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": [ "A slow forward dolly shot on a bright, sunlit day in a lush jungle ruin. A lone figure in nature-themed armor stands before a weathered stone arch overgrown with ivy. A textured marble sphere wrapped in twisting vines levitates in the arch’s center, spinning slowly. As the camera glides forward, vines sway softly, leaves flutter in the light breeze. Strong golden sunlight streams through the canopy, illuminating the mossy ruins with bright, clear light. The scene feels vibrant and peaceful, with subtle natural motion.", false, 1280, 704, 25, 0, "ltx-2.3-22b-distilled-fp8.safetensors", "gemma_3_12B_it_fp4_mixed.safetensors", "gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors", "ltx-2.3-22b-ic-lora-union-control-ref0.5.safetensors", 1 ], "widgets_values_named": { "ckpt_name_1": "ltx-2.3-22b-distilled-fp8.safetensors", "lora_name": "gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors", "lora_name_1": "ltx-2.3-22b-ic-lora-union-control-ref0.5.safetensors", "noise_seed": 0, "strength_model": 1, "text": "A slow forward dolly shot on a bright, sunlit day in a lush jungle ruin. A lone figure in nature-themed armor stands before a weathered stone arch overgrown with ivy. A textured marble sphere wrapped in twisting vines levitates in the arch’s center, spinning slowly. As the camera glides forward, vines sway softly, leaves flutter in the light breeze. Strong golden sunlight streams through the canopy, illuminating the mossy ruins with bright, clear light. The scene feels vibrant and peaceful, with subtle natural motion.", "text_encoder": "gemma_3_12B_it_fp4_mixed.safetensors", "value": 1280, "value_1": 704, "value_3": 25, "value_4": false } }, { "flags": {}, "id": 199, "inputs": [], "mode": 0, "order": 1, "outputs": [ { "links": [ 1759 ], "name": "VIDEO", "type": "VIDEO" } ], "pos": [ -660, 3030 ], "properties": { "Node name for S&R": "LoadVideo", "cnr_id": "comfy-core", "enableTabs": false, "hasSecondTab": false, "secondTabOffset": 80, "secondTabText": "Send Back", "secondTabWidth": 65, "tabWidth": 65, "tabXOffset": 10, "ver": "0.5.1" }, "size": [ 490, 460 ], "type": "LoadVideo", "widgets_values": [ "stone_ruins.mp4", "image" ], "widgets_values_named": { "file": "stone_ruins.mp4", "upload": "image" } }, { "flags": {}, "id": 200, "inputs": [], "mode": 0, "order": 2, "outputs": [ { "links": [ 297 ], "name": "IMAGE", "type": "IMAGE" }, { "links": null, "name": "MASK", "type": "MASK" } ], "pos": [ -660, 2320 ], "properties": { "Node name for S&R": "LoadImage", "cnr_id": "comfy-core", "enableTabs": false, "hasSecondTab": false, "secondTabOffset": 80, "secondTabText": "Send Back", "secondTabWidth": 65, "tabWidth": 65, "tabXOffset": 10, "ver": "0.7.0" }, "size": [ 490, 450 ], "type": "LoadImage", "widgets_values": [ "the_forgotten_gate.png", "image" ], "widgets_values_named": { "image": "the_forgotten_gate.png", "upload": "image" } }, { "flags": {}, "id": 692, "inputs": [ { "link": 1759, "name": "video", "type": "VIDEO" } ], "mode": 0, "order": 4, "outputs": [ { "links": [ 1771 ], "name": "VIDEO", "type": "VIDEO" } ], "pos": [ -100, 3030 ], "properties": { "Node name for S&R": "Video Slice", "cnr_id": "comfy-core", "enableTabs": false, "hasSecondTab": false, "secondTabOffset": 80, "secondTabText": "Send Back", "secondTabWidth": 65, "tabWidth": 65, "tabXOffset": 10, "ver": "0.22.0" }, "size": [ 270, 170 ], "type": "Video Slice", "widgets_values": [ 0, 5, false ], "widgets_values_named": { "duration": 5, "start_time": 0, "strict_duration": false } }, { "flags": {}, "id": 697, "inputs": [ { "label": "auto_resize_input", "link": null, "name": "switch", "type": "BOOLEAN", "widget": { "name": "switch" } }, { "link": 1771, "name": "video", "type": "VIDEO" } ], "mode": 0, "order": 5, "outputs": [ { "links": [], "name": "depth_colored", "type": "IMAGE" }, { "links": [ 1772, 1773 ], "name": "depth", "type": "IMAGE" }, { "links": [], "name": "MASK", "type": "MASK" } ], "pos": [ -100, 3250 ], "properties": { "cnr_id": "comfy-core", "enableTabs": false, "hasSecondTab": false, "previewExposures": [], "secondTabOffset": 80, "secondTabText": "Send Back", "secondTabWidth": 65, "tabWidth": 65, "tabXOffset": 10, "ver": "0.21.1" }, "size": [ 450, 280 ], "type": "ed545fa5-009c-4ccc-b318-4c00dd239751", "widgets_values": [ 9, 4, "moge_2_vitl_normal_fp16.safetensors", true ], "widgets_values_named": { "inference_batch_size": 4, "inference_resolution": 9, "moge_model": "moge_2_vitl_normal_fp16.safetensors", "switch": true } }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 698, "inputs": [], "mode": 0, "order": 3, "outputs": [], "pos": [ -1450, 2270 ], "properties": { "ue_properties": { "input_ue_unconnectable": {}, "version": "7.7", "widget_ue_connectable": {} } }, "size": [ 720, 1300 ], "title": "Note: IC-LoRA", "type": "MarkdownNote", "widgets_values": [ "## IC-LoRA\n\n### What This Model Is\n`ltx-2.3-22b-ic-lora-union-control-ref0.5.safetensors` is an In-Context LoRA trained on top of LTX-2.3. It adds aligned reference control on top of the base video model and is designed for control-style guidance such as Canny, Depth, and Pose. This model expects a reference downscale factor of `0.5`.\n\n### What It Can Do\n- Guide generation with aligned control frames while still following the text prompt.\n- Preserve the structure and motion hinted by the control sequence.\n- Work well for reference-driven video generation where timing matters.\n\n### Inputs Used In This Workflow\n- `first_frame`: sets the starting appearance and composition.\n- `control_images`: the aligned control sequence used by IC-LoRA guidance.\n- `prompt`: describes the subject, motion, and scene.\n- `prompt_enhance`: rewrites or expands the prompt text before sampling.\n- `ckpt_name`: selects the base LTX-2.3 checkpoint.\n- `ic_lora`: selects the IC-LoRA weights.\n- `lora_strength`: controls how strongly the IC-LoRA guide is followed.\n- `fps`: controls output playback rate.\n\n### Workflow Usage Notes\n- In this workflow, `control_images` comes from the video preprocessing branch and is used as the IC-LoRA guide.\n- This depth-guided setup is only one example. Users can swap in other preprocessors and other control types as long as they produce frame-aligned `control_images`.\n- Different preprocessors emphasize different guidance signals, for example depth for structure, pose for body motion, or edge-based controls for contours.\n- Keep `control_images` temporally aligned with the motion you want to generate.\n- `lora_strength` higher: stronger guide following. Lower: more freedom from the guide.\n- `prompt_enhance` changes the prompt text only. It does not change guide timing or frame count.\n- All model download links are listed in the `Model Links` note.\n\n### Length Control\n- The generated video length is controlled by the video node branch, especially the `LoadVideo` / `Video Slice` path that provides the control sequence.\n- To change the generated duration, change the source control video or the slice length in that video branch.\n- Changing `ic_lora`, `lora_strength`, or `prompt_enhance` will not change the number of guided frames.\n" ], "widgets_values_named": { "text": "## IC-LoRA\n\n### What This Model Is\n`ltx-2.3-22b-ic-lora-union-control-ref0.5.safetensors` is an In-Context LoRA trained on top of LTX-2.3. It adds aligned reference control on top of the base video model and is designed for control-style guidance such as Canny, Depth, and Pose. This model expects a reference downscale factor of `0.5`.\n\n### What It Can Do\n- Guide generation with aligned control frames while still following the text prompt.\n- Preserve the structure and motion hinted by the control sequence.\n- Work well for reference-driven video generation where timing matters.\n\n### Inputs Used In This Workflow\n- `first_frame`: sets the starting appearance and composition.\n- `control_images`: the aligned control sequence used by IC-LoRA guidance.\n- `prompt`: describes the subject, motion, and scene.\n- `prompt_enhance`: rewrites or expands the prompt text before sampling.\n- `ckpt_name`: selects the base LTX-2.3 checkpoint.\n- `ic_lora`: selects the IC-LoRA weights.\n- `lora_strength`: controls how strongly the IC-LoRA guide is followed.\n- `fps`: controls output playback rate.\n\n### Workflow Usage Notes\n- In this workflow, `control_images` comes from the video preprocessing branch and is used as the IC-LoRA guide.\n- This depth-guided setup is only one example. Users can swap in other preprocessors and other control types as long as they produce frame-aligned `control_images`.\n- Different preprocessors emphasize different guidance signals, for example depth for structure, pose for body motion, or edge-based controls for contours.\n- Keep `control_images` temporally aligned with the motion you want to generate.\n- `lora_strength` higher: stronger guide following. Lower: more freedom from the guide.\n- `prompt_enhance` changes the prompt text only. It does not change guide timing or frame count.\n- All model download links are listed in the `Model Links` note.\n\n### Length Control\n- The generated video length is controlled by the video node branch, especially the `LoadVideo` / `Video Slice` path that provides the control sequence.\n- To change the generated duration, change the source control video or the slice length in that video branch.\n- Changing `ic_lora`, `lora_strength`, or `prompt_enhance` will not change the number of guided frames.\n" } }, { "flags": {}, "id": 693, "inputs": [ { "link": 1773, "name": "images", "type": "IMAGE" } ], "mode": 4, "order": 7, "outputs": [ { "links": null, "name": "images", "type": "IMAGE" } ], "pos": [ -130, 3600 ], "properties": { "Node name for S&R": "PreviewImage", "cnr_id": "comfy-core", "enableTabs": false, "hasSecondTab": false, "secondTabOffset": 80, "secondTabText": "Send Back", "secondTabWidth": 65, "tabWidth": 65, "tabXOffset": 10, "ver": "0.22.0" }, "size": [ 570, 370 ], "type": "PreviewImage" } ], "revision": 0, "version": 0.4 }