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"type": "INT" }, { "id": 15556, "origin_id": 5726, "origin_slot": 0, "target_id": -20, "target_slot": 1, "type": "IMAGE" }, { "id": 15377, "origin_id": 5904, "origin_slot": 0, "target_id": 5729, "target_slot": 0, "type": "IMAGE,MASK" }, { "id": 15221, "origin_id": 5744, "origin_slot": 0, "target_id": 5768, "target_slot": 0, "type": "CLIP" }, { "id": 15226, "origin_id": 5508, "origin_slot": 0, "target_id": 5768, "target_slot": 5, "type": "STRING" }, { "id": 15526, "origin_id": 5952, "origin_slot": 0, "target_id": 5768, "target_slot": 6, "type": "INT" }, { "id": 15376, "origin_id": -10, "origin_slot": 0, "target_id": 5904, "target_slot": 0, "type": "IMAGE,MASK" }, { "id": 15535, "origin_id": -10, "origin_slot": 4, "target_id": 5904, "target_slot": 1, "type": "INT" }, { "id": 15536, "origin_id": -10, "origin_slot": 5, "target_id": 5904, "target_slot": 2, "type": "INT" }, { "id": 15222, "origin_id": 5744, "origin_slot": 0, "target_id": 5769, "target_slot": 0, "type": "CLIP" }, { "id": 15383, "origin_id": 5729, "origin_slot": 0, "parentId": 7, "target_id": 5769, "target_slot": 1, "type": "IMAGE" }, { "id": 15227, "origin_id": 5509, "origin_slot": 0, "target_id": 5769, "target_slot": 5, "type": "STRING" }, { "id": 15527, "origin_id": 5952, "origin_slot": 0, "target_id": 5769, "target_slot": 6, "type": "INT" }, { "id": 15518, "origin_id": 5943, "origin_slot": 0, "target_id": 5945, "target_slot": 0, "type": "INT" }, { "id": 15523, "origin_id": 5943, "origin_slot": 1, "target_id": 5948, "target_slot": 0, "type": "INT" }, { "id": 15491, "origin_id": 5917, "origin_slot": 0, "target_id": 5776, "target_slot": 0, "type": "FLOAT" }, { "id": 15424, "origin_id": 5918, "origin_slot": 0, "target_id": 5776, "target_slot": 1, "type": "FLOAT" }, { "id": 15498, "origin_id": 5917, "origin_slot": 0, "parentId": 27, "target_id": 5886, "target_slot": 0, "type": "FLOAT" }, { "id": 15509, "origin_id": 5767, "origin_slot": 0, "parentId": 43, "target_id": 5872, "target_slot": 3, "type": "BOOLEAN" } ], "name": "Image to Video (LTX-2.5 DFR)", "nodes": [ { "flags": {}, "id": 5729, "inputs": [ { "link": 15377, "localized_name": "input", "name": "input", "type": "IMAGE,MASK" } ], "mode": 0, "order": 17, "outputs": [ { "links": [ 15383, 15450, 15452, 15454 ], "localized_name": "resized", "name": "resized", "type": "IMAGE,MASK" } ], "pos": [ -6290, 1990 ], "properties": { "Node name for S&R": "ResizeImageMaskNode" }, "size": [ 270, 118 ], "type": "ResizeImageMaskNode", "widgets_values": [ "scale by multiplier", 0.25, "area" ], "widgets_values_named": { "resize_type": "scale by multiplier", "resize_type.multiplier": 0.25, "scale_method": "area" } }, { "bgcolor": "#000", "color": "#222", "flags": { "collapsed": false }, "id": 5916, "inputs": [], "mode": 0, "order": 0, "outputs": [], "pos": [ -2760, 1760 ], "properties": {}, "size": [ 340, 310 ], "title": "Preprocess", "type": "MarkdownNote", "widgets_values": [ "## Preprocess\n\n**Video dimensions**\n\nadjust video width and video height to determine the output dimensions.\n\n**Image conditioning**\n\nAdjust img_strength and img_compression to change the strength of the input image in case you provided one. Default img_strength is **1.0**.\n\n**Detailing keyframes**\n\nEmpty generated keyframes at **1 KF per second** (skip frame 0, keep the last frame unless an image keyframe is already there). For the default 121 frames @ 24 fps that is `24,48,72,96,120`. `LTXVAddGeneratedKeyframes` places about one keyframe every 24 pixel frames after image conditions are written in place, so it will not add a keyframe on top of first/last-frame I2V. Keyframes go on the **video** latent only, then audio is concatenated." ], "widgets_values_named": { "text": "## Preprocess\n\n**Video dimensions**\n\nadjust video width and video height to determine the output dimensions.\n\n**Image conditioning**\n\nAdjust img_strength and img_compression to change the strength of the input image in case you provided one. Default img_strength is **1.0**.\n\n**Detailing keyframes**\n\nEmpty generated keyframes at **1 KF per second** (skip frame 0, keep the last frame unless an image keyframe is already there). For the default 121 frames @ 24 fps that is `24,48,72,96,120`. `LTXVAddGeneratedKeyframes` places about one keyframe every 24 pixel frames after image conditions are written in place, so it will not add a keyframe on top of first/last-frame I2V. Keyframes go on the **video** latent only, then audio is concatenated." } }, { "flags": {}, "id": 5744, "inputs": [ { "link": 15544, "localized_name": "clip_name", "name": "clip_name", "type": "COMBO", "widget": { "name": "clip_name" } } ], "mode": 0, "order": 22, "outputs": [ { "links": [ 15221, 15222 ], "localized_name": "CLIP", "name": "CLIP", "type": "CLIP" } ], "pos": [ -5610, 2220 ], "properties": { "Node name for S&R": "CLIPLoader", "cnr_id": "comfy-core", "models": [ { "directory": "text_encoders", "name": "gemma4_e2b_it_bf16.safetensors", "url": "https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e2b_it_bf16.safetensors" } ], "ver": "0.32.0" }, "size": [ 360, 120 ], "title": "Load CLIP - Prompt Enhancer", "type": "CLIPLoader", "widgets_values": [ "gemma4_e2b_it_bf16.safetensors", "ltxv", "default" ], "widgets_values_named": { "clip_name": "gemma4_e2b_it_bf16.safetensors", "device": "default", "type": "ltxv" } }, { "bgcolor": "#353", "color": "#232", "flags": { "collapsed": false }, "id": 5768, "inputs": [ { "link": 15221, "localized_name": "clip", "name": "clip", "type": "CLIP" }, { "link": null, "localized_name": "image", "name": "image", "shape": 7, "type": "IMAGE" }, { "link": null, "localized_name": "video", "name": "video", "shape": 7, "type": "IMAGE" }, { "link": null, "localized_name": "audio", "name": "audio", "shape": 7, "type": "AUDIO" }, { "link": null, "localized_name": "system_prompt", "name": "system_prompt", "shape": 7, "type": "STRING" }, { "link": 15226, "localized_name": "prompt", "name": "prompt", "type": "STRING", "widget": { "name": "prompt" } }, { "link": 15526, "localized_name": "seed", "name": "sampling_mode.seed", "type": "INT", "widget": { "name": "sampling_mode.seed" } } ], "mode": 0, "order": 26, "outputs": [ { "links": [ 15197 ], "localized_name": "generated_text", "name": "generated_text", "type": "STRING" }, { "links": null, "localized_name": "thinking", "name": "thinking", "type": "STRING" } ], "pos": [ -4670, 2190 ], "properties": { "Node name for S&R": "TextGenerateLTX2Prompt", "cnr_id": "comfy-core", "ver": "0.32.0" }, "showAdvanced": false, "size": [ 430, 466 ], "title": "Positive prompt (t2v) enhancer - TextGenerateLTX2Prompt", "type": "TextGenerateLTX2Prompt", "widgets_values": [ "", 600, "on", 0.01, 0, 1, 0, 1.15, 0, 0, false, true, "auto" ], "widgets_values_named": { "max_length": 600, "mtp": "auto", "prompt": "", "sampling_mode": "on", "sampling_mode.min_p": 0, "sampling_mode.presence_penalty": 0, "sampling_mode.repetition_penalty": 1.15, "sampling_mode.seed": 0, "sampling_mode.temperature": 0.01, "sampling_mode.top_k": 0, "sampling_mode.top_p": 1, "thinking": false, "use_default_template": true } }, { "bgcolor": "#353", "color": "#232", "flags": {}, "id": 5771, "inputs": [ { "link": 15219, "localized_name": "clip", "name": "clip", "type": "CLIP" }, { "link": 15389, "localized_name": "text", "name": "text", "type": "STRING", "widget": { "name": "text" } } ], "mode": 0, "order": 29, "outputs": [ { "links": [ 15190 ], "localized_name": "CONDITIONING", "name": "CONDITIONING", "slot_index": 0, "type": "CONDITIONING" } ], "pos": [ -3660, 2320 ], "properties": { "Node name for S&R": "CLIPTextEncode", "cnr_id": "comfy-core", "ver": "0.3.28" }, "size": [ 510, 270 ], "title": "CLIP Text Encode (Positive Prompt)", "type": "CLIPTextEncode", "widgets_values": [ "" ], "widgets_values_named": { "text": "" } }, { "flags": {}, "id": 5790, "inputs": [ { "link": 15450, "localized_name": "image", "name": "image", "type": "IMAGE" } ], "mode": 0, "order": 33, "outputs": [ { "links": [ 15232 ], "localized_name": "output_image", "name": "output_image", "type": "IMAGE" } ], "pos": [ -2730, 2300 ], "properties": { "Node name for S&R": "LTXVPreprocess", "cnr_id": "comfy-core", "ver": "0.3.60" }, "size": [ 280, 80 ], "type": "LTXVPreprocess", "widgets_values": [ 18 ], "widgets_values_named": { "img_compression": 18 } }, { "flags": {}, "id": 5904, "inputs": [ { "link": 15376, "localized_name": "input", "name": "input", "type": "IMAGE,MASK" }, { "link": 15535, "localized_name": "width", "name": "resize_type.width", "type": "INT", "widget": { "name": "resize_type.width" } }, { "link": 15536, "localized_name": "height", "name": "resize_type.height", "type": "INT", "widget": { "name": "resize_type.height" } } ], "mode": 0, "order": 77, "outputs": [ { "links": [ 15377, 15522 ], "localized_name": "resized", "name": "resized", "type": "IMAGE,MASK" } ], "pos": [ -6830, 2110 ], "properties": { "Node name for S&R": "ResizeImageMaskNode" }, "size": [ 270, 174 ], "type": "ResizeImageMaskNode", "widgets_values": [ "scale dimensions", 1280, 704, "center", "lanczos" ], "widgets_values_named": { "resize_type": "scale dimensions", "resize_type.crop": "center", "resize_type.height": 704, "resize_type.width": 1280, "scale_method": "lanczos" } }, { "flags": {}, "id": 5943, "inputs": [ { "link": 15522, "localized_name": "image", "name": "image", "type": "IMAGE" } ], "mode": 0, "order": 85, "outputs": [ { "links": [ 15518 ], "localized_name": "width", "name": "width", "type": "INT" }, { "links": [ 15523 ], "localized_name": "height", "name": "height", "type": "INT" }, { "links": null, "localized_name": "batch_size", "name": "batch_size", "type": "INT" } ], "pos": [ -6290, 2200 ], "properties": { "Node name for S&R": "GetImageSize" }, "size": [ 230, 140 ], "type": "GetImageSize" }, { "bgcolor": "#353", "color": "#232", "flags": {}, "id": 5508, "inputs": [ { "link": 15532, "localized_name": "value", "name": "value", "type": "STRING", "widget": { "name": "value" } } ], "mode": 0, "order": 13, "outputs": [ { "links": [ 15226, 15228 ], "localized_name": "STRING", "name": "STRING", "type": "STRING" } ], "pos": [ -6940, 2430 ], "properties": { "Node name for S&R": "PrimitiveStringMultiline", "cnr_id": "comfy-core", "ver": "0.25.0" }, "size": [ 380, 360 ], "title": "Prompt (positive)", "type": "PrimitiveStringMultiline", "widgets_values": [ "" ], "widgets_values_named": { "value": "" } }, { "flags": { "collapsed": false }, "id": 5743, "inputs": [ { "link": 15546, "localized_name": "model_name", "name": "model_name", "type": "COMBO", "widget": { "name": "model_name" } } ], "mode": 0, "order": 21, "outputs": [ { "links": [ 15297, 15301 ], "localized_name": "LATENT_UPSCALE_MODEL", "name": "LATENT_UPSCALE_MODEL", "type": "LATENT_UPSCALE_MODEL" } ], "pos": [ -5610, 2680 ], "properties": { "Node name for S&R": "LatentUpscaleModelLoader", "cnr_id": "comfy-core", "models": [ { "directory": "latent_upscale_models", "name": "ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors", "url": "https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors" } ], "ver": "0.14.1" }, "size": [ 360, 90 ], "type": "LatentUpscaleModelLoader", "widgets_values": [ "ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors" ], "widgets_values_named": { "model_name": 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Empty detailing keyframes are denoised with the video. You can change the noise seed, the guider cfg (used for both video and audio) and select the sampler." ], "widgets_values_named": { "text": "**Sample (8 steps)**\n\nHalf-res, distilled transformer. Empty detailing keyframes are denoised with the video. You can change the noise seed, the guider cfg (used for both video and audio) and select the sampler." } }, { "flags": {}, "id": 5952, "inputs": [], "mode": 0, "order": 4, "outputs": [ { "links": [ 15526, 15527 ], "localized_name": "seed", "name": "seed", "type": "INT" } ], "pos": [ -5040, 2820 ], "properties": { "Node name for S&R": "SeedNode" }, "size": [ 270, 90 ], "type": "SeedNode", "widgets_values": [ 9901, "fixed" ], "widgets_values_named": { "fixed": "fixed", "seed": 9901 } }, { "bgcolor": "#653", "color": "#432", "flags": {}, "id": 5812, "inputs": [], "mode": 0, "order": 5, "outputs": [], "pos": [ 260, 2630 ], "properties": {}, "size": [ 230, 100 ], "type": "Note", "widgets_values": [ "Do explore various samplers and cfg values (although we advise them to be kept close to 1)" ], "widgets_values_named": { "text": "Do explore various samplers and cfg values (although we advise them to be kept close to 1)" } }, { "bgcolor": "#533", "color": "#322", "flags": {}, "id": 5813, "inputs": [ { "link": 15253, "localized_name": "noise", "name": "noise", "type": "NOISE" }, { "link": 15254, "localized_name": "guider", "name": "guider", "type": "GUIDER" }, { "link": 15255, "localized_name": "sampler", "name": "sampler", "type": "SAMPLER" }, { "link": 15256, "localized_name": "sigmas", "name": "sigmas", "type": "SIGMAS" }, { "link": 15263, "localized_name": "latent_image", "name": "latent_image", "type": "LATENT" } ], "mode": 0, "order": 41, "outputs": [ { "links": [ 15257 ], "localized_name": "output", "name": "output", "type": "LATENT" }, { "links": [], "localized_name": "denoised_output", "name": "denoised_output", "type": "LATENT" } ], "pos": [ 250, 2320 ], "properties": { "Node name for S&R": "SamplerCustomAdvanced", "cnr_id": "comfy-core", "ver": "0.14.1" }, "size": [ 230, 120 ], "type": "SamplerCustomAdvanced" }, { "flags": {}, "id": 5814, "inputs": [ { "link": 15257, "localized_name": "av_latent", "name": "av_latent", "type": "LATENT" } ], "mode": 0, "order": 42, "outputs": [ { "links": [ 15303 ], "localized_name": "video_latent", "name": "video_latent", "type": "LATENT" }, { "links": [ 15306 ], "localized_name": "audio_latent", "name": "audio_latent", "type": "LATENT" } ], "pos": [ 250, 2500 ], "properties": { "Node name for S&R": "LTXVSeparateAVLatent", "cnr_id": "comfy-core", "ver": "0.10.0" }, "size": [ 230, 60 ], "type": "LTXVSeparateAVLatent" }, { "flags": {}, "id": 5903, "inputs": [ { "link": 15375, "localized_name": "model", "name": "model", "type": "MODEL" }, { "link": 15543, "localized_name": "lora_name", "name": "lora_name", "type": "COMBO", "widget": { "name": "lora_name" } } ], "mode": 0, "order": 76, "outputs": [ { "links": [ 15374, 15513 ], "localized_name": "MODEL", "name": "MODEL", "type": "MODEL" } ], "pos": [ -5610, 3560 ], "properties": { "Node name for S&R": "LoraLoaderModelOnly", "models": [ { "directory": "loras", "name": "ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors", "url": "https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler/resolve/main/ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors" } ] }, "size": [ 350, 90 ], "type": "LoraLoaderModelOnly", "widgets_values": [ "ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors", 1 ], "widgets_values_named": { "lora_name": "ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors", "strength_model": 1 } }, { "flags": {}, "id": 5918, "inputs": [ { "link": 15537, "localized_name": "value", "name": "value", "type": "FLOAT", "widget": { "name": "value" } } ], "mode": 0, "order": 84, "outputs": [ { "links": [ 15424 ], "localized_name": "FLOAT", "name": "FLOAT", "type": "FLOAT" } ], "pos": [ -6950, 3480 ], "properties": { "Node name for S&R": "PrimitiveFloat" }, "size": [ 230, 70 ], "title": "Float (Duration)", "type": "PrimitiveFloat", "widgets_values": [ 5 ], "widgets_values_named": { "value": 5 } }, { "flags": {}, "id": 5767, "inputs": [], "mode": 0, "order": 6, "outputs": [ { "links": [ 15505, 15506, 15507, 15509 ], "localized_name": "BOOLEAN", "name": "BOOLEAN", "type": "BOOLEAN" } ], "pos": [ -6870, 3720 ], "properties": { "Node name for S&R": "PrimitiveBoolean", "cnr_id": "comfy-core", "ver": "0.25.0" }, "size": [ 340, 70 ], "title": "Boolean (Switch to T2V)", "type": "PrimitiveBoolean", "widgets_values": [ false ], "widgets_values_named": { "value": false } }, { "flags": {}, "id": 5901, "inputs": [ { "link": 15548, "localized_name": "value", "name": "value", "type": "BOOLEAN", "widget": { "name": "value" } } ], "mode": 0, "order": 75, "outputs": [ { "links": [ 15500, 15501 ], "localized_name": "BOOLEAN", "name": "BOOLEAN", "type": "BOOLEAN" } ], "pos": [ -6870, 3850 ], "properties": { "Node name for S&R": "PrimitiveBoolean" }, "size": [ 340, 80 ], "title": "Boolean (Run 3rd stage - 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Stage 2 uses the distilled model **plus** the pixel-spatial detailing IC-LoRA, distilled Euler. Audio continues from stage 1 for cross-attn; decode keeps stage-2 audio after the temporal pass.\n" ], "widgets_values_named": { "text": "**Spatial upscale > detailing IC-LoRA > sample (3 steps)**\n\n**Reserve** the half-res video, spatially x2-upsample video and detailing keyframes separately, then warm-start the detailing keyframes in the same positions.\nThe reserved half-res latent is injected with `LTXVAddLatentGuide` as an IC-LoRA reference (`VideoConditionByReferenceLatent`): dilated onto a sparse grid with RoPE expanded by the spatial ratio (x2), not pinned as a same-size frozen video. Stage 2 uses the distilled model **plus** the pixel-spatial detailing IC-LoRA, distilled Euler. Audio continues from stage 1 for cross-attn; decode keeps stage-2 audio after the temporal pass.\n" } }, { "flags": {}, "id": 5832, "inputs": [ { "link": 15469, "localized_name": "vae", "name": "vae", "type": "VAE" }, { "link": 15454, "localized_name": "image", "name": "image", "type": "IMAGE" }, { "link": 15264, "localized_name": "latent", "name": "latent", "type": "LATENT" }, { "label": "img_strength", "link": null, "localized_name": "strength", "name": "strength", "type": "FLOAT", "widget": { "name": "strength" } }, { "label": "bypass_i2v", "link": 15507, "localized_name": "bypass", "name": "bypass", "type": "BOOLEAN", "widget": { "name": "bypass" } } ], "mode": 0, "order": 44, "outputs": [ { "links": [ 15265 ], "localized_name": "latent", "name": "latent", "type": "LATENT" } ], "pos": [ 2010, 2390 ], "properties": { "Node name for S&R": "LTXVImgToVideoInplace", "cnr_id": "comfy-core", "ver": "0.32.0" }, "size": [ 300, 130 ], "type": "LTXVImgToVideoInplace", "widgets_values": [ 1, 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The man looks up at the camera and speaks in a relaxed deadpan voice: \"Honey, I'm working from home.\" His mouth moves naturally with the speech, then he calmly sprays the hose across the lawn again, the water arc catching the light under the fluorescent panels. Subtle camera drift, warm comedy advertising mood.", "value_1": false, "value_2": "", "value_3": 5, "value_4": 24, "value_6": true, "value_7": true } }, { "flags": {}, "id": 5954, "inputs": [], "mode": 0, "order": 1, "outputs": [ { "links": [ 15551 ], "name": "width", "type": "INT" }, { "links": [ 15552 ], "name": "height", "type": "INT" } ], "pos": [ -141.5089510712828, 2625.96856057918 ], "properties": { "Node name for S&R": "ResolutionSelector" }, "showAdvanced": false, "size": [ 270, 162 ], "title": "Output size (aspect / megapixels)", "type": "ResolutionSelector", "widgets_values": [ "16:9 (Widescreen)", 0.87, 32 ], "widgets_values_named": { "aspect_ratio": "16:9 (Widescreen)", "megapixels": 0.87, "multiple": 32 } }, { "flags": {}, "id": 5957, "inputs": [ { "link": 15558, "name": "images", "type": "IMAGE" } ], "mode": 0, "order": 6, "outputs": [ { "links": null, "name": "images", "type": "IMAGE" } ], "pos": [ 1528.4910489287172, 2435.96856057918 ], "properties": { "Node name for S&R": "PreviewImage" }, "size": [ 650, 590 ], "title": "Preview frame", "type": "PreviewImage" }, { "bgcolor": "#000", "color": "#222", "flags": {}, "id": 5958, "inputs": [], "mode": 0, "order": 2, "outputs": [], "pos": [ -2309.1339355810064, 2446.6851902172484 ], "properties": {}, "size": [ 561.5052699655532, 955.3747700981384 ], "type": "MarkdownNote", "widgets_values": [ "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Input Asset\n\n- [office_garden_169_outpaint.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/office_garden_169_outpaint.png)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/gemma-4](https://huggingface.co/Comfy-Org/gemma-4)\n- [Hugging Face:Lightricks/LTX-2.5](https://huggingface.co/Lightricks/LTX-2.5)\n- [Hugging Face:Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler](https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler)\n\n**text_encoders**\n\n- [gemma4_e2b_it_bf16.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e2b_it_bf16.safetensors) (9.57 GB)\n- [gemma4-12b-with-proj-ltx-2.5-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors)\n\n**latent_upscale_models**\n\n- [ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors)\n- [ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors)\n\n**vae**\n\n- [ltx-2.5-audio-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-audio-vae-bf16.safetensors)\n- [ltx-2.5-video-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-video-vae-bf16.safetensors)\n\n**diffusion_models**\n\n- [ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/diffusion_models/ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors)\n\n**loras**\n\n- [ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler/resolve/main/ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors)\n\n\n## Model Storage Location\n\n```\nšŸ“‚ ComfyUI/\nā”œā”€ā”€ šŸ“‚ models/\nā”‚ ā”œā”€ā”€ šŸ“‚ text_encoders/\nā”‚ ā”‚ ā”œā”€ā”€ gemma4_e2b_it_bf16.safetensors\nā”‚ ā”‚ ā””ā”€ā”€ gemma4-12b-with-proj-ltx-2.5-bf16.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ latent_upscale_models/\nā”‚ ā”‚ ā”œā”€ā”€ ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors\nā”‚ ā”‚ ā””ā”€ā”€ ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ vae/\nā”‚ ā”‚ ā”œā”€ā”€ ltx-2.5-audio-vae-bf16.safetensors\nā”‚ ā”‚ ā””ā”€ā”€ ltx-2.5-video-vae-bf16.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ diffusion_models/\nā”‚ ā”‚ ā””ā”€ā”€ ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors\nā”‚ ā””ā”€ā”€ šŸ“‚ loras/\nā”‚ ā””ā”€ā”€ ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.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" ], "widgets_values_named": { "text": "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Input Asset\n\n- [office_garden_169_outpaint.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/office_garden_169_outpaint.png)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/gemma-4](https://huggingface.co/Comfy-Org/gemma-4)\n- [Hugging Face:Lightricks/LTX-2.5](https://huggingface.co/Lightricks/LTX-2.5)\n- [Hugging Face:Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler](https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler)\n\n**text_encoders**\n\n- [gemma4_e2b_it_bf16.safetensors](https://huggingface.co/Comfy-Org/gemma-4/resolve/main/text_encoders/gemma4_e2b_it_bf16.safetensors) (9.57 GB)\n- [gemma4-12b-with-proj-ltx-2.5-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/text_encoders/gemma4-12b-with-proj-ltx-2.5-bf16.safetensors)\n\n**latent_upscale_models**\n\n- [ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors)\n- [ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/latent_upscale_models/ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors)\n\n**vae**\n\n- [ltx-2.5-audio-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-audio-vae-bf16.safetensors)\n- [ltx-2.5-video-vae-bf16.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/vae/ltx-2.5-video-vae-bf16.safetensors)\n\n**diffusion_models**\n\n- [ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors](https://huggingface.co/Lightricks/LTX-2.5/resolve/main/diffusion_models/ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors)\n\n**loras**\n\n- [ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors](https://huggingface.co/Lightricks/LTX-2.5-22b-IC-LoRA-Pixel-Spatial-Upscaler/resolve/main/ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.safetensors)\n\n\n## Model Storage Location\n\n```\nšŸ“‚ ComfyUI/\nā”œā”€ā”€ šŸ“‚ models/\nā”‚ ā”œā”€ā”€ šŸ“‚ text_encoders/\nā”‚ ā”‚ ā”œā”€ā”€ gemma4_e2b_it_bf16.safetensors\nā”‚ ā”‚ ā””ā”€ā”€ gemma4-12b-with-proj-ltx-2.5-bf16.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ latent_upscale_models/\nā”‚ ā”‚ ā”œā”€ā”€ ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors\nā”‚ ā”‚ ā””ā”€ā”€ ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ vae/\nā”‚ ā”‚ ā”œā”€ā”€ ltx-2.5-audio-vae-bf16.safetensors\nā”‚ ā”‚ ā””ā”€ā”€ ltx-2.5-video-vae-bf16.safetensors\nā”‚ ā”œā”€ā”€ šŸ“‚ diffusion_models/\nā”‚ ā”‚ ā””ā”€ā”€ ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors\nā”‚ ā””ā”€ā”€ šŸ“‚ loras/\nā”‚ ā””ā”€ā”€ ltx-2.5-22b-ic-lora-pixel-spatial-upscaler-x2-1.0.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" } }, { "bgcolor": "#000", "color": "#222", "flags": {}, "id": 5959, "inputs": [], "mode": 0, "order": 3, "outputs": [], "pos": [ -1706.3555007960285, 2436.336041478644 ], "properties": {}, "size": [ 759.9997180446048, 971.4404142807839 ], "title": "Note: LTX-2.5 DFR i2v (manual)", "type": "MarkdownNote", "widgets_values": [ "**DFR = Diffusion Fidelity Rendering** - LTX's production-quality path: a distilled transformer plus a\ndetailing IC-LoRA, with extra generated keyframes and spatial (optionally temporal) detailing passes.\n\n## What the subgraph `Image to Video (LTX-2.5 DFR)` can do\n\n- **Image to video** from one start frame, or **text to video** with the `Switch to T2V` toggle.\n- **Video with audio in a single pass** - ambience and speech; put spoken lines in quotes in the prompt.\n- **Detailing keyframes** - one per second of video, denoised together with the video and then reused as\n guides in the later passes; this is where the DFR quality comes from.\n- **Spatial x2 detailing** - the half-res stage-1 latent is re-injected as an IC-LoRA reference and re-sampled\n at double resolution with the pixel-spatial detailing IC-LoRA.\n- **Temporal x2** - 121 -> 241 frames, 24 -> 48 fps at the same duration (can be switched off).\n- **Controls** - aspect ratio and megapixel budget, fps, duration, seed, prompt, prompt enhancement, and\n tiled VAE decoding for low VRAM.\n\n## Inputs\n\n| Where | Control | Meaning |\n|---|---|---|\n| Top level | `Start image (I2V)` | first frame; ignored while `Switch to T2V` is on |\n| Top level | `Output size (aspect / megapixels)` | target aspect and pixel budget, multiples of 32; stage 1 runs at half of it |\n| Top level | `SeedNode` | seed; `fixed` keeps runs reproducible |\n| Inside | `Prompt (positive)` / `Prompt (negative)` | text conditioning; the negative prompt is used as written |\n| Inside | `Float (fps)` / `Float (Duration)` | 24 fps / 5 s by default, i.e. 121 frames |\n| Inside | `Switch to T2V` | run text-to-video without using the start image |\n| Inside | `Enable Prompt Enhancer` | rewrite and extend the prompt with the small gemma4 encoder first |\n| Inside | `Run 3rd stage - Temporal Upscale` | off skips the temporal pass: faster, 24 fps / 121 frames |\n| Inside | `Enable Tiled Decode` | tiled VAE decode - lower VRAM, slightly softer detail |\n\n## The three stages\n\n1. **Generate** - half resolution, **8 steps**; video, keyframe slots and audio are denoised together.\n2. **Spatial x2** - latent spatial upsample, then **3 steps** with the detailing IC-LoRA; the half-res latent\n serves as the reference (`LTXVAddLatentGuide`).\n3. **Temporal x2** - **4 steps** on a 241-frame / 48 fps canvas; the stage-2 keyframes return as guides at\n strength 0.95. Audio is used for cross-attention only and then dropped, so the shipped audio is still the\n stage-1 one. The step-by-step notes inside each stage group explain the mechanics.\n\nSamplers are **euler** with **cfg 1.0** and fixed **`ManualSigmas`** schedules. The model is distilled, so the\nstep counts and sigmas are part of the recipe - changing them changes the look.\n\n## Output\n\n`Save video (mp4 + audio)` writes the mp4 (48 fps with the temporal stage, 24 fps without) and\n`Preview frame` shows the final frame. Prompt-enhancer output, when enabled, is visible on\n`Preview as Text (Final Prompt)`.\n\n## Notes\n\n- Repeating high-frequency textures and smooth gradients can \"boil\" or band during camera moves. A/B runs at\n the same prompt and seed - tiled decode and temporal upscale toggled separately and together - came out at\n the same level in all four variants, so this belongs to the model and the pipeline rather than to a node\n setting. Widescreen framing and gentle camera moves are the most stable, and bf16 weights are cleaner than\n int8.\n\nModel links, folder layout and update/report links: see the note beside this one.\n" ], "widgets_values_named": { "text": "**DFR = Diffusion Fidelity Rendering** - LTX's production-quality path: a distilled transformer plus a\ndetailing IC-LoRA, with extra generated keyframes and spatial (optionally temporal) detailing passes.\n\n## What the subgraph `Image to Video (LTX-2.5 DFR)` can do\n\n- **Image to video** from one start frame, or **text to video** with the `Switch to T2V` toggle.\n- **Video with audio in a single pass** - ambience and speech; put spoken lines in quotes in the prompt.\n- **Detailing keyframes** - one per second of video, denoised together with the video and then reused as\n guides in the later passes; this is where the DFR quality comes from.\n- **Spatial x2 detailing** - the half-res stage-1 latent is re-injected as an IC-LoRA reference and re-sampled\n at double resolution with the pixel-spatial detailing IC-LoRA.\n- **Temporal x2** - 121 -> 241 frames, 24 -> 48 fps at the same duration (can be switched off).\n- **Controls** - aspect ratio and megapixel budget, fps, duration, seed, prompt, prompt enhancement, and\n tiled VAE decoding for low VRAM.\n\n## Inputs\n\n| Where | Control | Meaning |\n|---|---|---|\n| Top level | `Start image (I2V)` | first frame; ignored while `Switch to T2V` is on |\n| Top level | `Output size (aspect / megapixels)` | target aspect and pixel budget, multiples of 32; stage 1 runs at half of it |\n| Top level | `SeedNode` | seed; `fixed` keeps runs reproducible |\n| Inside | `Prompt (positive)` / `Prompt (negative)` | text conditioning; the negative prompt is used as written |\n| Inside | `Float (fps)` / `Float (Duration)` | 24 fps / 5 s by default, i.e. 121 frames |\n| Inside | `Switch to T2V` | run text-to-video without using the start image |\n| Inside | `Enable Prompt Enhancer` | rewrite and extend the prompt with the small gemma4 encoder first |\n| Inside | `Run 3rd stage - Temporal Upscale` | off skips the temporal pass: faster, 24 fps / 121 frames |\n| Inside | `Enable Tiled Decode` | tiled VAE decode - lower VRAM, slightly softer detail |\n\n## The three stages\n\n1. **Generate** - half resolution, **8 steps**; video, keyframe slots and audio are denoised together.\n2. **Spatial x2** - latent spatial upsample, then **3 steps** with the detailing IC-LoRA; the half-res latent\n serves as the reference (`LTXVAddLatentGuide`).\n3. **Temporal x2** - **4 steps** on a 241-frame / 48 fps canvas; the stage-2 keyframes return as guides at\n strength 0.95. Audio is used for cross-attention only and then dropped, so the shipped audio is still the\n stage-1 one. The step-by-step notes inside each stage group explain the mechanics.\n\nSamplers are **euler** with **cfg 1.0** and fixed **`ManualSigmas`** schedules. The model is distilled, so the\nstep counts and sigmas are part of the recipe - changing them changes the look.\n\n## Output\n\n`Save video (mp4 + audio)` writes the mp4 (48 fps with the temporal stage, 24 fps without) and\n`Preview frame` shows the final frame. Prompt-enhancer output, when enabled, is visible on\n`Preview as Text (Final Prompt)`.\n\n## Notes\n\n- Repeating high-frequency textures and smooth gradients can \"boil\" or band during camera moves. A/B runs at\n the same prompt and seed - tiled decode and temporal upscale toggled separately and together - came out at\n the same level in all four variants, so this belongs to the model and the pipeline rather than to a node\n setting. Widescreen framing and gentle camera moves are the most stable, and bf16 weights are cleaner than\n int8.\n\nModel links, folder layout and update/report links: see the note beside this one.\n" } } ], "revision": 0, "version": 0.4 }