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false, "secondTabOffset": 80, "tabWidth": 65, "secondTabWidth": 65, "tabXOffset": 10 }, "widgets_values": [], "color": "#323", "bgcolor": "#535" }, { "id": 178, "type": "SetNode", "pos": [ 359.67144046271113, 5404.839371520932 ], "size": [ 210, 60 ], "flags": { "collapsed": true }, "order": 39, "mode": 0, "inputs": [ { "label": "AUDIO", "name": "AUDIO", "type": "AUDIO", "link": 383 } ], "outputs": [ { "label": "*", "name": "*", "type": "*" } ], "title": "Set_audio", "properties": { "previousName": "audio", "ue_properties": { "version": "7.6.2", "widget_ue_connectable": {}, "input_ue_unconnectable": {} } }, "widgets_values": [ "audio" ] }, { "id": 196, "type": "easy showAnything", "pos": [ 346.7840688212386, 5462.572197794752 ], "size": [ 395.33247184370913, 200.67188661721957 ], "flags": {}, "order": 40, "mode": 0, "inputs": [ { "name": "anything", "shape": 7, "type": "*", "link": 400 } ], "outputs": [ { "name": "output", "type": "*", "links": null } ], "properties": { "cnr_id": "comfyui-easy-use", "ver": "1.3.6", "Node name for S&R": "easy showAnything", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.6.2" } }, "widgets_values": [ "{\n \"source_fps\": 24.0,\n \"source_frame_count\": 241,\n \"source_duration\": 10.041666666666666,\n \"source_width\": 480,\n \"source_height\": 256,\n \"loaded_fps\": 24.0,\n \"loaded_frame_count\": 241,\n \"loaded_duration\": 10.041666666666666,\n \"loaded_width\": 480,\n \"loaded_height\": 256\n}" ] }, { "id": 103, "type": "MarkdownNote", "pos": [ -1141.8179241025557, 5250.309729325631 ], "size": [ 480, 820 ], "flags": {}, "order": 13, "mode": 0, "inputs": [], "outputs": [], "title": "Model Links", "properties": { "ue_properties": { "version": "7.6.2", "widget_ue_connectable": {}, "input_ue_unconnectable": {} } }, "widgets_values": [ "# MBEDIT: THIS IS FROM VETERAN AI ORIGINAL WF. AND I HAVE NOT CHECKED THROUGH IT.\n\nGuide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n\n## LTX-2 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 Issues\nTo report any issues when running this workflow, [go to GitHub](https://github.com/Lightricks/ComfyUI-LTXVideo/issues)\n\n## Model links (for local users)\n\n**checkpoints**\n\n- [ltx-2-19b-dev-fp8.safetensors](https://huggingface.co/Lightricks/LTX-2/resolve/main/ltx-2-19b-dev-fp8.safetensors)\n\n**text_encoders**\n\n- [gemma_3_12B_it.safetensors](https://huggingface.co/Comfy-Org/ltx-2/resolve/main/split_files/text_encoders/gemma_3_12B_it.safetensors)\n\n**loras**\n\n- [ltx-2-19b-lora-camera-control-dolly-left.safetensors](https://huggingface.co/Lightricks/LTX-2-19b-LoRA-Camera-Control-Dolly-Left/resolve/main/ltx-2-19b-lora-camera-control-dolly-left.safetensors)\n- [ltx-2-19b-distilled-lora-384.safetensors](https://huggingface.co/Lightricks/LTX-2/resolve/main/ltx-2-19b-distilled-lora-384.safetensors)\n\n**latent_upscale_models**\n\n- [ltx-2-spatial-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2/resolve/main/ltx-2-spatial-upscaler-x2-1.0.safetensors)\n\n\nModel Storage Location\n\n```\nπŸ“‚ ComfyUI/\nβ”œβ”€β”€ πŸ“‚ models/\nβ”‚ β”œβ”€β”€ πŸ“‚ checkpoints/\nβ”‚ β”‚ └── ltx-2-19b-dev-fp8.safetensors\nβ”‚ β”œβ”€β”€ πŸ“‚ text_encoders/\nβ”‚ β”‚ └── gemma_3_12B_it.safetensors\nβ”‚ β”œβ”€β”€ πŸ“‚ loras/\nβ”‚ β”‚ β”œβ”€β”€ ltx-2-19b-lora-camera-control-dolly-left.safetensors\nβ”‚ β”‚ └── ltx-2-19b-distilled-lora-384.safetensors\nβ”‚ └── πŸ“‚ latent_upscale_models/\nβ”‚ └── ltx-2-spatial-upscaler-x2-1.0.safetensors\n```\n\n## Report other issues\n\nNote: please update ComfyUI first ([guide](https://docs.comfy.org/zh-CN/installation/update_comfyui)) and prepare required models. Desktop/Cloud ship stable builds; nightly-supported models may not be included yet, please wait for the next stable release.\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)" ], "color": "#222", "bgcolor": "#000" }, { "id": 104, "type": "MarkdownNote", "pos": [ -1108.452470829738, 6125.846701700759 ], "size": [ 392.2956322451673, 143.35335424868208 ], "flags": { "collapsed": false }, "order": 14, "mode": 0, "inputs": [], "outputs": [], "title": "About Size", "properties": { "ue_properties": { "version": "7.6.2", "widget_ue_connectable": {}, "input_ue_unconnectable": {} } }, "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": 249, "type": "MarkdownNote", "pos": [ -1483.4355790528787, 3336.70891197513 ], "size": [ 571.0342085107175, 945.0923572694774 ], "flags": {}, "order": 15, "mode": 0, "inputs": [], "outputs": [], "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.6.2", "input_ue_unconnectable": {} } }, "widgets_values": [ "# BREAKING CHANGES - FEB 2026\n\n## **NOTE: RECENT CHANGES IN COMFYUI WILL SOON BREAK THE WAY MODELS ARE LOADED IN LTX.**\n\nThis is the patch they added back in that temporarily resolves it\n\n[https://github.com/Comfy-Org/ComfyUI/pull/12605](https://github.com/Comfy-Org/ComfyUI/pull/12605 ) \n\n but they plan to remove it at some point in the future. This is why I have changed the layout here to accommodate that when it comes.\n\n1. **I (hopefully mistakenly) took the change to imply that GGUFs will no longer work** (after the patch is removed). Kijai has suggested this is wrong and the only impact will be nodes not the models themselves. But because there was some concern that [\"missing weights\" in GGUFs will mean GGUFs break](https://www.reddit.com/r/comfyui/comments/1rdvuil/comment/o78gpul/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button) I am erring on the side of caution and downloaded a working non-GGUF model. The FP4 from Kijais hugging face repo. (See below section)\n\n## THE NEW NODE LAYOUT\n\nIt was confusing to figure out. Even though some seemed to find it easy.\n\n### Step 1: \n\n**You need to update KJ nodes to after 25th Feb 2026**\n\n- **make sure the \"extra_model_name\" in GGUFLoaderKJ can find the embeddings connector.** It looks for \"connector\" in file names of the \"text_encoders\" folder which is where it likely is currently in your setup. This will also pick up in the \"Diffusion Model Selector\" node.\n
\n- **put the FP4 model or whatever non-GGUF model you want to use in the \"diffusion_models\" folder** and you can then add it to diffusion model loader. \n\n### Step 2:\n\n- **understanding why we dont do anything with current embeddings connector** - the weird thing is that even though we now have to add the embeddings connector in to the GGUF loader and the Diffusion Model Selector moving forward (when they remove the temp patch), we still currently need the old embeddings DualClip Loader node left in place and plugged in. For now. I have the below info quoted from discussion on with with Kijai:\n\n> \"if you get errors make sure you are STILL ALSO using the dual clip loader for gemma and embeddings. because you do need to as there's the text projector layer in the file too...yeah that's extra annoying. it won't use memory though, it just loads that one layer... just don't change anything else besides the model loader, keep the dualclip like it used to be\"\n\n***NOTE: I am guessing the above will change at some point too, but for now its how it is - Mark, 26th Feb 2026.***\n\n\n\n## THE FP4 MODEL\n\n[https://huggingface.co/Kijai/LTXV2_comfy/tree/main/diffusion_models](https://huggingface.co/Kijai/LTXV2_comfy/tree/main/diffusion_models)\n\nI understand this needs pytorch 2.10 and CUDA 13.0 to work but it is running on my pytorch 2.7 with CUDA 12.8 just it needs tweaks in the lora settings. (I'll put those in their own box.) \n\nIts also a bit faster than the GGUF Q4 model and runs without issue on my 3060 RTX (12GB VRAM) with 32 GB system ram. \n\n\n\n \n" ], "color": "#432", "bgcolor": "#653" }, { "id": 231, "type": "MarkdownNote", "pos": [ -565.3385671401146, 5319.661976350408 ], "size": [ 391.54572427269636, 627.1030699474213 ], "flags": {}, "order": 16, "mode": 0, "inputs": [], "outputs": [], "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.6.2", "input_ue_unconnectable": {} } }, "widgets_values": [ "# MARKDKBERRY.COM\n\n## IMPORTANT CAVEAT: If you are on 12GB VRAM and 32 gb system ram you will get OOMs at the VAE decoder. You therefore need to set your comfyui to allow for pushing through ooms. I do that with my switches:\n\n`--lowvram --disable-smart-memory --disable-pinned-memory`\n\n## ABOUT THIS WORKFLOW\n\nThis workflow works very well. high detail at 1080p and the best I found so far (not perfect but damn good).\n\nYou need a high quality first image from the video as a reference and it will use it to inform the result. \n\n**on my 3060 I get 1080p 24 fps, 241 frames in < 18 minutes.** I do hit ooms on the VAE and push through which means I cant use memory cleaners to drop models as it forces a restart at that point. I still managed to use GPU on clip but ideal would be to use their API. The ram (32 system ram) overloads first, I think.\n\n## INFO:\n\nInbound I use 480 long edge setting and use x2 upscalers, you can change that if you like but it will be rubbish results lower inbound ( e.g. 320). I havent fiddled with it yet to improve speeds or results.\n\nAlso dont try and go over 241 frames. When I did and it ooms so not sure how I will deal with extended shots. I tried splitting it, and got new people applied even using the same ref image. I think you need to build a new ref image for the new start frame point to inform it properly. It works well still, just wrong people (if camera moved, which it had).\n\n\nI need to get the time down if I can but just being able to do this from 480 long edge means the inbound can be done quicker in the first place and this details it up. Best results I have seen so far from LTX-2 by far coming out of this.\n\n\n\n" ], "color": "#432", "bgcolor": "#653" }, { "id": 253, "type": "SetNode", "pos": [ 557.0993137839369, 4861.32749987852 ], "size": [ 210, 60 ], "flags": { "collapsed": true }, "order": 41, "mode": 0, "inputs": [ { "name": "CLIP", "type": "CLIP", "link": 462 } ], "outputs": [ { "name": "*", "type": "*", "links": null } ], "title": "Set_clip", "properties": { "previousName": "clip", "ue_properties": { "widget_ue_connectable": {}, "version": "7.6.2", "input_ue_unconnectable": {} } }, "widgets_values": [ "clip" ], "color": "#432", "bgcolor": "#653" }, { "id": 205, "type": "GetNode", "pos": [ 848.5297576343875, 4829.913389554279 ], "size": [ 210, 58 ], "flags": { "collapsed": false }, "order": 17, "mode": 0, "inputs": [], "outputs": [ { "name": "CLIP", "type": "CLIP", "links": [ 463, 464 ] } ], "title": "Get_clip", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.2", "input_ue_unconnectable": {} } }, "widgets_values": [ "clip" ], "color": "#432", "bgcolor": "#653" }, { "id": 254, "type": "GetNode", "pos": [ 849.8174514829452, 5482.357910774746 ], "size": [ 210, 58 ], "flags": { "collapsed": true }, "order": 18, "mode": 0, "inputs": [], "outputs": [ { "name": "CLIP", "type": "CLIP", "links": [ 465 ] } ], "title": "Get_clip", "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.5.2", "input_ue_unconnectable": {} } }, "widgets_values": [ "clip" ], "color": "#432", "bgcolor": "#653" }, { "id": 229, "type": "ConditioningZeroOut", "pos": [ 1023.3352745556352, 5487.5878627821785 ], "size": [ 204.134765625, 26 ], "flags": { "collapsed": true }, "order": 44, "mode": 0, "inputs": [ { "name": "conditioning", "type": "CONDITIONING", "link": 440 } ], "outputs": [ { "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 441 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.8.2", "Node name for S&R": "ConditioningZeroOut", 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"link": 418 } ], "outputs": [], "properties": { "cnr_id": "comfy-core", "ver": "0.13.0", "Node name for S&R": "PreviewImage", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.6.2" } }, "widgets_values": [] }, { "id": 190, "type": "SigmasPreview", "pos": [ 2232.9956159132616, 5931.541276759992 ], "size": [ 274.91825289806684, 294 ], "flags": {}, "order": 29, "mode": 0, "inputs": [ { "name": "sigmas", "type": "SIGMAS", "link": 395 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": null } ], "properties": { "cnr_id": "RES4LYF", "ver": "a3999a56a650da5cffe9e8f9f8b115f764603620", "Node name for S&R": "SigmasPreview", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.5.2" } }, "widgets_values": [ false, "blue" ] }, { "id": 191, "type": "Note", "pos": [ 2176.874796826463, 6285.8564438607345 ], "size": [ 470.4855711731516, 199.407932802882 ], "flags": {}, "order": 24, "mode": 0, "inputs": [], "outputs": [], "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.6.2", "input_ue_unconnectable": {} } }, "widgets_values": [ "# STEPS USING SIGMAS:\n\n4 STEPS:\n\n0.909375, 0.725, 0.421875, 0.0\n\n5 STEPS:\n\n0.975, 0.909375, 0.725, 0.421875, 0.0\n\n9 STEPS:\n\n1., 0.99375, 0.9875, 0.98125, 0.975, 0.909375, 0.725, 0.421875, 0.0" ], "color": "#432", "bgcolor": "#653" }, { "id": 240, "type": "GGUFLoaderKJ", "pos": [ -805.0505127711468, 3377.2025937548206 ], "size": [ 579.1277980144489, 202 ], "flags": {}, "order": 25, "mode": 4, "inputs": [], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [] } ], "properties": { "cnr_id": "comfyui-kjnodes", "ver": "50a0837f9aea602b184bbf6dbabf66ed2c7a1d22", "Node name for S&R": "GGUFLoaderKJ", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.6.2" } }, "widgets_values": [ "LTX-2\\ltx-2-19b-distilled_Q4_K_M.gguf", "LTX-2\\ltx-2-19b-embeddings_connector_dev_bf16.safetensors", 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this unless you have original LTX checkpoint model. I dont. I'll keep it in but disabled until I confirm this is somehow useable on my setup.\n\n----\n\n\nThis needs a non GGUF model to work at this time. It also needs the model to be in the checkpoint folder. (I found fp4 model works from Kijai but havent tested quality against my Q4 GGUF) - Mark, Feb 2026.\n\n# LTX API SECTION:\n\nThis is for using LTX API for the Gemma which at the current time is offered free to the community. It should save on ram use. So definitely worth it for LowVRAM guys.\n\nget and set from https://console.ltx.video\n\n# INSTALL PRIVATE KEY CUSTOM NODE: \n\nI installed this one https://github.com/wtesler/ComfyUI-EnvVariable\n\nThen add something this to your comfyui start up bat file:\n\nREM Set your API key as an environment variable\nset LTX_API_KEY=xxxxxxxxx\n\nREM use this if you need to see it getting set: \necho LTX_API_KEY=%LTX_API_KEY%" ], "color": "#432", "bgcolor": "#653" }, { "id": 245, "type": "GemmaAPITextEncode", "pos": [ -925.40872283837, 4769.235160925989 ], "size": [ 448.9608196088559, 205.5427342953426 ], "flags": {}, "order": 30, "mode": 4, "inputs": [ { "name": "api_key", "type": "STRING", "widget": { "name": "api_key" }, "link": 453 } ], "outputs": [ { "name": "conditioning", "type": "CONDITIONING", "links": [] } ], "properties": { "cnr_id": "ComfyUI-LTXVideo", "ver": "82bd963cdeb66d023bed8c99324a307020907ef8", "Node name for S&R": "GemmaAPITextEncode", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.6.2" } }, "widgets_values": [ "", "", "LTX\\ltx-2-19b-dev_fp4_transformer_only.safetensors" ], "color": "#332922", "bgcolor": "#593930" }, { "id": 239, "type": "Note", "pos": [ 407.8631425490547, 4055.6512124060664 ], "size": [ 251.86901300135787, 256.00348445176405 ], "flags": {}, "order": 28, "mode": 0, "inputs": [], "outputs": [], "properties": { "ue_properties": { "widget_ue_connectable": {}, "version": "7.6.2", "input_ue_unconnectable": {} } }, "widgets_values": [ "if using the fp4 set distilled lora to 0.6 up to 0.9 (prefer 0.9) (I get distilled misty weirdness below 0.6. I tried 1.0, but had some deformed people might have been a bad run didnt test further).\n\nIf using the GGUFs set distilled lora to -0.3 (I get dappling in result otherwise)\n\nand I keep detailer lora at 0.5 in both cases.\n\nI also disabled the camera control as this is v2v workflow and already have the motion set. \n" ], "color": "#432", "bgcolor": "#653" }, { "id": 215, "type": "LoraLoaderModelOnly", "pos": [ -3.58838222621611, 4376.92483849453 ], "size": [ 424.65485559057333, 120.21131525025896 ], "flags": {}, "order": 53, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 416 } ], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 417 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.8.0", "Node name for S&R": "LoraLoaderModelOnly", "ue_properties": { "widget_ue_connectable": { "lora_name": true, "strength_model": true }, "version": "7.5.1", "input_ue_unconnectable": {} } }, "widgets_values": [ "LTX-2\\ltx-2-19b-distilled-lora_resized_dynamic_fro09_avg_rank_175_fp8.safetensors", 0.9 ], "color": "#223", "bgcolor": "#335" } ], "links": [ [ 280, 118, 0, 125, 0, "NOISE" ], [ 281, 112, 0, 125, 1, "GUIDER" ], [ 282, 108, 0, 125, 2, "SAMPLER" ], [ 283, 109, 0, 125, 3, "SIGMAS" ], [ 284, 138, 0, 125, 4, "LATENT" ], [ 291, 110, 0, 129, 1, "LATENT_UPSCALE_MODEL" ], [ 323, 139, 0, 138, 0, "LATENT" ], [ 355, 164, 0, 165, 0, "IMAGE" ], [ 358, 157, 0, 169, 0, "*" ], [ 359, 154, 0, 170, 0, "*" ], [ 360, 171, 0, 168, 1, "VAE" ], [ 361, 173, 0, 172, 0, "VAE" ], [ 363, 174, 2, 172, 1, "INT" ], [ 371, 165, 0, 139, 1, "IMAGE" ], [ 372, 114, 0, 177, 0, "CONDITIONING" ], [ 373, 114, 1, 177, 1, "CONDITIONING" ], [ 377, 177, 0, 112, 1, "CONDITIONING" ], [ 378, 177, 1, 112, 2, "CONDITIONING" ], [ 382, 172, 0, 138, 1, "LATENT" ], [ 383, 160, 2, 178, 0, "*" ], [ 384, 179, 0, 147, 1, "AUDIO" ], [ 386, 177, 2, 129, 0, "LATENT" ], [ 390, 160, 0, 186, 0, "IMAGE" ], [ 395, 109, 0, 190, 0, "SIGMAS" ], [ 396, 194, 0, 195, 1, "LATENT_UPSCALE_MODEL" ], [ 397, 129, 0, 195, 0, "LATENT" ], [ 398, 195, 0, 139, 2, "LATENT" ], [ 400, 160, 3, 196, 0, "VHS_VIDEOINFO" ], [ 401, 198, 0, 197, 0, "MODEL" ], [ 402, 201, 0, 198, 0, "MODEL" ], [ 403, 197, 0, 199, 0, "MODEL" ], [ 404, 199, 0, 200, 0, "MODEL" ], [ 405, 200, 0, 204, 0, "MODEL" ], [ 406, 203, 0, 204, 1, "CONDITIONING" ], [ 407, 202, 0, 204, 2, "CONDITIONING" ], [ 414, 214, 0, 213, 0, "MODEL" ], [ 416, 213, 0, 215, 0, "MODEL" ], [ 417, 215, 0, 201, 0, "MODEL" ], [ 418, 165, 0, 216, 0, "IMAGE" ], [ 420, 217, 0, 147, 0, "IMAGE" ], [ 428, 125, 1, 124, 0, "LATENT" ], [ 440, 120, 0, 229, 0, "CONDITIONING" ], [ 441, 229, 0, 114, 1, "CONDITIONING" ], [ 447, 120, 0, 114, 0, "CONDITIONING" ], [ 448, 124, 0, 217, 0, "LATENT" ], [ 450, 242, 0, 241, 0, "STRING" ], [ 453, 247, 0, 245, 0, "STRING" ], [ 454, 247, 0, 246, 0, "STRING" ], [ 456, 250, 0, 217, 1, "VAE" ], [ 457, 251, 0, 129, 2, "VAE" ], [ 458, 251, 0, 195, 2, "VAE" ], [ 459, 252, 0, 139, 0, "VAE" ], [ 460, 204, 0, 112, 0, "MODEL" ], [ 461, 185, 0, 164, 0, "IMAGE" ], [ 462, 226, 0, 253, 0, "CLIP" ], [ 463, 205, 0, 203, 0, "CLIP" ], [ 464, 205, 0, 202, 0, "CLIP" ], [ 465, 254, 0, 120, 0, "CLIP" ], [ 466, 186, 0, 163, 0, "IMAGE" ], [ 468, 186, 0, 174, 0, "IMAGE" ], [ 470, 186, 0, 168, 0, "IMAGE" ], [ 471, 168, 0, 177, 2, "LATENT" ], [ 472, 241, 0, 214, 0, "MODEL" ] ], "groups": [ { "id": 3, "title": "Prompt", "bounding": [ 830, 5080, 440, 820 ], "color": "#3f789e", "font_size": 24, "flags": {} }, { "id": 5, "title": "Latent", "bounding": [ 830, 5930, 949.7002563476562, 479.3496398925781 ], "color": "#3f789e", "font_size": 24, "flags": {} }, { "id": 9, "title": "Upscale (Twice: x2 and x2)", "bounding": [ 1310.5006680137853, 5079.136563075778, 1110, 803.5999755859375 ], "color": "#3f789e", "font_size": 24, "flags": {} }, { "id": 6, "title": "Upscale Sampling(2x)", "bounding": [ 1790.5003018028478, 5119.136563075778, 620, 750 ], "color": "#3f789e", "font_size": 24, "flags": {} }, { "id": 10, "title": "MEM & NAG Group", "bounding": [ 826.2141807369659, 4229.5819245367375, 984.8182017307722, 790.8405007809524 ], "color": "#3f789e", "font_size": 24, "flags": {} }, { "id": 11, "title": "Models Group", "bounding": [ -70.62657603019868, 3869.6814984222246, 754.0760310374001, 1229.2343006333017 ], "color": "#3f789e", "font_size": 24, "flags": {} }, { "id": 12, "title": "LTX Gemma Clip API Group", "bounding": [ -1405.8513034086443, 4427.371397309857, 1190.9323672639432, 754.5700285769562 ], "color": "#3f789e", "font_size": 24, "flags": {} }, { "id": 13, "title": "Choose Your Model (GGUF or other)", "bounding": [ -1538.4084515284762, 3219.1949512367237, 1376.0977672687707, 1133.1646223486437 ], "color": "#3f789e", "font_size": 24, "flags": {} }, { "id": 14, "title": "Non GGUF model", "bounding": [ -841.8198174280509, 3677.574688492314, 612.2562255135913, 473.51829565352 ], "color": "#3f789e", "font_size": 24, "flags": {} } ], "config": {}, "extra": { "VHS_KeepIntermediate": true, "links_added_by_ue": [], "comfy_fork_version": "feature/av_inference@a6994ed1", "VHS_MetadataImage": true, "ue_links": [], "0246.VERSION": [ 0, 0, 4 ], "workflowRendererVersion": "LG", "VHS_latentpreviewrate": 0, "frontendVersion": "1.38.14", "VHS_latentpreview": false, "prompt": { "1": { "class_type": "CheckpointLoaderSimple", "inputs": { "ckpt_name": "ltx-av-step-1751000_vocoder_24K.safetensors" }, "_meta": { "title": "Load Checkpoint" } }, "2": { "class_type": "LTXVGemmaCLIPModelLoader", "inputs": { "ltxv_path": "ltx-av-step-1751000_vocoder_24K.safetensors", "gemma_path": "gemma-3-12b-it-qat-q4_0-unquantized_readout_proj/model/model.safetensors", "max_length": 1024 }, "_meta": { "title": "πŸ…›πŸ…£πŸ…§ Gemma 3 Model Loader" } }, "3": { "class_type": "CLIPTextEncode", "inputs": { "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.\"", "clip": [ "2", 0 ] }, "_meta": { "title": "CLIP Text Encode (Prompt)" } }, "4": { "class_type": "CLIPTextEncode", "inputs": { "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 (β€œPNTR”), incorrect t-shirt slogan (β€œJUST 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.", "clip": [ "2", 0 ] }, "_meta": { "title": "CLIP Text Encode (Prompt)" } }, "8": { "class_type": "KSamplerSelect", "inputs": { "sampler_name": "euler" }, "_meta": { "title": "KSamplerSelect" } }, "9": { "class_type": "LTXVScheduler", "inputs": { "stretch": true, "latent": [ "28", 0 ], "max_shift": 2.05, "terminal": 0.1, "steps": 20, "base_shift": 0.95 }, "_meta": { "title": "LTXVScheduler" } }, "11": { "class_type": "RandomNoise", "inputs": { "noise_seed": 10 }, "_meta": { "title": "RandomNoise" } }, "12": { "class_type": "VAEDecode", "inputs": { "vae": [ "1", 2 ], "samples": [ "29", 0 ] }, "_meta": { "title": "VAE Decode" } }, "13": { "class_type": "LTXVAudioVAELoader", "inputs": { "ckpt_name": "ltx-av-step-1751000_vocoder_24K.safetensors" }, "_meta": { "title": "πŸ…›πŸ…£πŸ…§ LTXV Audio VAE Loader" } }, "14": { "class_type": "LTXVAudioVAEDecode", "inputs": { "audio_vae": [ "13", 0 ], "samples": [ "29", 1 ] }, "_meta": { "title": "πŸ…›πŸ…£πŸ…§ LTXV Audio VAE Decode" } }, "15": { "class_type": "VHS_VideoCombine", "inputs": { "save_output": true, "filename_prefix": "AnimateDiff", "images": [ "12", 0 ], "loop_count": 0, "pix_fmt": "yuv420p", "save_metadata": true, "crf": 19, "trim_to_audio": false, "format": "video/h264-mp4", "audio": [ "14", 0 ], "frame_rate": [ "23", 0 ], "pingpong": false }, "_meta": { "title": "Video Combine πŸŽ₯πŸ…₯πŸ…—πŸ…’" } }, "17": { "class_type": "MultimodalGuider", "inputs": { "skip_blocks": "29", "negative": [ "22", 1 ], "model": [ "28", 1 ], "positive": [ "22", 0 ], "parameters": [ "18", 0 ] }, "_meta": { "title": "πŸ…›πŸ…£πŸ…§ Multimodal Guider" } }, "18": { "class_type": "GuiderParameters", "inputs": { "modality": "VIDEO", "cfg": 3, "rescale": 0, "stg": 0, "parameters": [ "19", 0 ], "modality_scale": 3 }, "_meta": { "title": "πŸ…›πŸ…£πŸ…§ Guider Parameters" } }, "19": { "class_type": "GuiderParameters", "inputs": { "modality": "AUDIO", "cfg": 7, "rescale": 0, "stg": 0, "modality_scale": 3 }, "_meta": { "title": "πŸ…›πŸ…£πŸ…§ Guider Parameters" } }, "21": { "class_type": "PreviewAudio", "inputs": { "audio": [ "14", 0 ], "audioUI": "" }, "_meta": { "title": "PreviewAudio" } }, "22": { "class_type": "LTXVConditioning", "inputs": { "negative": [ "4", 0 ], "positive": [ "3", 0 ], "frame_rate": [ "23", 0 ] }, "_meta": { "title": "LTXVConditioning" } }, "23": { "class_type": "FloatConstant", "inputs": { "value": 25 }, "_meta": { "title": "Float Constant" } }, "26": { "class_type": "LTXVEmptyLatentAudio", "inputs": { "batch_size": 1, "frame_rate": [ "42", 0 ], "frames_number": [ "27", 0 ] }, "_meta": { "title": "πŸ…›πŸ…£πŸ…§ LTXV Empty Latent Audio" } }, "27": { "class_type": "INTConstant", "inputs": { "value": 105 }, "_meta": { "title": "INT Constant" } }, "28": { "class_type": "LTXVConcatAVLatent", "inputs": { "audio_latent": [ "26", 0 ], "video_latent": [ "43", 0 ], "model": [ "44", 0 ] }, "_meta": { "title": "πŸ…›πŸ…£πŸ…§ LTXV Concat AV Latent" } }, "29": { "class_type": "LTXVSeparateAVLatent", "inputs": { "av_latent": [ "41", 0 ], "model": [ "28", 1 ] }, "_meta": { "title": "πŸ…›πŸ…£πŸ…§ LTXV Separate AV Latent" } }, "41": { "class_type": "SamplerCustomAdvanced", "inputs": { "guider": [ "17", 0 ], "latent_image": [ "28", 0 ], "noise": [ "11", 0 ], "sigmas": [ "9", 0 ], "sampler": [ "8", 0 ] }, "_meta": { "title": "SamplerCustomAdvanced" } }, "42": { "class_type": "CM_FloatToInt", "inputs": { "a": [ "23", 0 ] }, "_meta": { "title": "FloatToInt" } }, "43": { "class_type": "EmptyLTXVLatentVideo", "inputs": { "batch_size": 1, "width": 768, "length": [ "27", 0 ], "height": 512 }, "_meta": { "title": "EmptyLTXVLatentVideo" } }, "44": { "class_type": "LTXVSequenceParallelMultiGPUPatcher", "inputs": { "disable_backup": false, "torch_compile": true, "model": [ "1", 0 ] }, "_meta": { "title": "LTXVSequenceParallelMultiGPUPatcher" } }, "45": { "class_type": "LTXVAddGuide", "inputs": { "strength": 1, "frame_idx": 0 }, "_meta": { "title": "LTXVAddGuide" } } }, "ds": { "scale": 0.7393608486039649, "offset": [ 871.0955054491351, -3791.8044754512202 ] } }, "version": 0.4 }