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],
"negative": [
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]
},
"class_type": "CFGGuider",
"_meta": {
"title": "CFGGuider"
}
},
"981": {
"inputs": {
"frame_rate": [
"1038",
0
],
"loop_count": 0,
"filename_prefix": "ltxv",
"format": "video/h264-mp4",
"pix_fmt": "yuv420p",
"crf": 18,
"save_metadata": false,
"pingpong": false,
"save_output": false,
"images": [
"996",
0
]
},
"class_type": "VHS_VideoCombine",
"_meta": {
"title": "Video Combine 🎥🅥🅗🅢"
}
},
"989": {
"inputs": {
"frame_rate": [
"1038",
0
],
"positive": [
"1094",
0
],
"negative": [
"1094",
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]
},
"class_type": "LTXVConditioning",
"_meta": {
"title": "LTXVConditioning"
}
},
"990": {
"inputs": {
"noise": [
"995",
0
],
"guider": [
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],
"sampler": [
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],
"sigmas": [
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0
],
"latent_image": [
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]
},
"class_type": "SamplerCustomAdvanced",
"_meta": {
"title": "SamplerCustomAdvanced"
}
},
"991": {
"inputs": {
"sampler_name": "euler_ancestral"
},
"class_type": "KSamplerSelect",
"_meta": {
"title": "KSamplerSelect"
}
},
"995": {
"inputs": {
"noise_seed": 850
},
"class_type": "RandomNoise",
"_meta": {
"title": "RandomNoise"
}
},
"996": {
"inputs": {
"samples": [
"1096",
2
],
"vae": [
"953",
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]
},
"class_type": "VAEDecode",
"_meta": {
"title": "VAE Decode"
}
},
"1031": {
"inputs": {
"float_list": [
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0
]
},
"class_type": "FloatToSigmas",
"_meta": {
"title": "Float To Sigmas"
}
},
"1038": {
"inputs": {
"value": 24.000000000000007
},
"class_type": "FloatConstant",
"_meta": {
"title": "Float Constant"
}
},
"1048": {
"inputs": {
"value": 121
},
"class_type": "INTConstant",
"_meta": {
"title": "Num.Frames"
}
},
"1094": {
"inputs": {
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"strength": [
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],
"positive": [
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"vae": [
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"image": [
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},
"class_type": "LTXVAddGuide",
"_meta": {
"title": "LTXVAddGuide"
}
},
"1095": {
"inputs": {
"width": [
"1101",
0
],
"height": [
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0
],
"length": [
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],
"batch_size": 1
},
"class_type": "EmptyLTXVLatentVideo",
"_meta": {
"title": "EmptyLTXVLatentVideo"
}
},
"1096": {
"inputs": {
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"989",
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],
"negative": [
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],
"latent": [
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]
},
"class_type": "LTXVCropGuides",
"_meta": {
"title": "LTXVCropGuides"
}
},
"1099": {
"inputs": {
"width": 512,
"height": 512,
"upscale_method": "bicubic",
"keep_proportion": false,
"divisible_by": 2,
"width_input": [
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],
"height_input": [
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],
"crop": "center",
"image": [
"958",
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]
},
"class_type": "ImageResizeKJ",
"_meta": {
"title": "Resize Image"
}
},
"1100": {
"inputs": {
"value": 704
},
"class_type": "INTConstant",
"_meta": {
"title": "Height"
}
},
"1101": {
"inputs": {
"value": 1216
},
"class_type": "INTConstant",
"_meta": {
"title": "Width"
}
},
"1102": {
"inputs": {
"string": "1.0000, 0.9937, 0.9875, 0.9812, 0.9750, 0.9094, 0.7250, 0.4219, 0.0"
},
"class_type": "StringToFloatList",
"_meta": {
"title": "String to Float List"
}
},
"1104": {
"inputs": {
"string": "0.997, 0.9937, 0.9875, 0.9812, 0.9750, 0.9094, 0.7250, 0.4219, 0.0"
},
"class_type": "StringToFloatList",
"_meta": {
"title": "String to Float List"
}
},
"1115": {
"inputs": {
"radius_x": 1,
"radius_y": 1,
"images": [
"952",
0
]
},
"class_type": "BlurImageFast",
"_meta": {
"title": "Blur Image (Fast)"
}
},
"1116": {
"inputs": {
"value": 0.6500000000000001
},
"class_type": "FloatConstant",
"_meta": {
"title": "Float Constant"
}
},
"1117": {
"inputs": {
"string": "OPTIONAL - user prompt. switch the \"prompt switch\" to '2'.",
"strip_newlines": true
},
"class_type": "StringConstantMultiline",
"_meta": {
"title": "Custom Prompt"
}
},
"1120": {
"inputs": {
"images": [
"958",
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]
},
"class_type": "PreviewImage",
"_meta": {
"title": "Preview Image"
}
},
"1138": {
"inputs": {
"select": 1,
"sel_mode": false,
"input1": [
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],
"input2": [
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]
},
"class_type": "ImpactSwitch",
"_meta": {
"title": "Prompt Switch"
}
},
"1147": {
"inputs": {
"string": "You are an expert cinematic director and prompt engineer specializing in text-to-video generation. You receive an image and/or visual descriptions and expand them into vivid cinematic prompts. Your task is to imagine and describe a natural visual action or camera movement that could realistically unfold from the still moment, as if capturing the next 5 seconds of a scene. Focus exclusively on visual storytelling—do not include sound, music, inner thoughts, or dialogue.\n\nInfer a logical and expressive action or gesture based on the visual pose, gaze, posture, hand positioning, and facial expression of characters. For instance:\n\n- If a subject's hands are near their face, imagine them removing or revealing something\n\n- If two people are close and facing each other, imagine a gesture of connection like touching, smiling, or leaning in\n\n- If a character looks focused or searching, imagine a glance upward, a head turn, or them interacting with an object just out of frame\n\nDescribe these inferred movements and camera behavior with precision and clarity, as a cinematographer would. Always write in a single cinematic paragraph.\nBe as descriptive as possible, focusing on details of the subject's appearance and intricate details on the scene or setting.\n\nFollow this structure:\n\n- Start with the first clear motion or camera cue\n\n- Build with gestures, body language, expressions, and any physical interaction\n\n- Detail environment, framing, and ambiance\n\n- Finish with cinematic references like: “In the style of an award-winning indie drama” or “Shot on Arri Alexa, printed on Kodak 2383 film print”\n\nIf any additional user instructions are added after this sentence, use them as reference for your prompt. Otherwise, focus only on the input image analysis:",
"strip_newlines": true
},
"class_type": "StringConstantMultiline",
"_meta": {
"title": "System Prompt"
}
},
"1150": {
"inputs": {
"delimiter": " ",
"clean_whitespace": "true",
"text_a": [
"1147",
0
],
"text_b": [
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]
},
"class_type": "Text Concatenate",
"_meta": {
"title": "Text Concatenate"
}
},
"1171": {
"inputs": {
"text": [
"1187",
0
],
"text2": "The camera captures the woman’s fingers gently brushing against the glass, leaving faint marks as condensation forms beneath her fingertips. As the focus sharpens on her face, her eyes soften, reflecting the blur of city lights outside. Slowly, she shifts her gaze to the cellphone screen that lights up in her hand, subtly illuminating her features. She brings the phone to her ear, her lips curling into a warm, genuine smile as her eyes slightly narrow in delight. The frame widens to reveal the bustling subway background, the vibrant hues of her hair contrasting with the muted, metallic interior of the train. The light flickers above, casting a soft glow around her, capturing an intimate yet cinematic moment in the style of an award-winning indie drama, shot on an Arri Alexa, printed on Kodak 2383 film stock."
},
"class_type": "ShowText|pysssss",
"_meta": {
"title": "Show Text 🐍"
}
},
"1180": {
"inputs": {
"text": [
"1187",
0
],
"text2": "The camera captures the woman’s fingers gently brushing against the glass, leaving faint marks as condensation forms beneath her fingertips. As the focus sharpens on her face, her eyes soften, reflecting the blur of city lights outside. Slowly, she shifts her gaze to the cellphone screen that lights up in her hand, subtly illuminating her features. She brings the phone to her ear, her lips curling into a warm, genuine smile as her eyes slightly narrow in delight. The frame widens to reveal the bustling subway background, the vibrant hues of her hair contrasting with the muted, metallic interior of the train. The light flickers above, casting a soft glow around her, capturing an intimate yet cinematic moment in the style of an award-winning indie drama, shot on an Arri Alexa, printed on Kodak 2383 film stock."
},
"class_type": "ShowText|pysssss",
"_meta": {
"title": "Show Text 🐍"
}
},
"1182": {
"inputs": {
"text": [
"1187",
0
],
"clip": [
"954",
0
]
},
"class_type": "CLIPTextEncode",
"_meta": {
"title": "CLIP Text Encode (Prompt)"
}
},
"1187": {
"inputs": {
"prompt": [
"1138",
0
],
"model_type": "gpt-4o",
"api_key": "sk-svcacct-OXGt0frr4p5EJnImkh1A6CvCowbdchYuy1sMfeuWncmgMLlpSZjnLRoSXwiSXUuU4BTyVHfY3FwT3BlbkFJO-Fvx4CY0JbeuoHl4i2w6RkljhJBlOT4mdiRQM8A_lMtXBTUTkBNV9usDnfY-ccC4K0jnkZogAA",
"seed": 3372340194,
"temperature": 1,
"max_tokens": 2048,
"image": [
"952",
0
]
},
"class_type": "PromptWithImage",
"_meta": {
"title": "LLM Chat (Image Optional)"
}
}
},
"comfy_fork_version": "develop@ffe590c7"
},
"version": 0.4
}
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