{ "nodes": [ { "id": "55", "type": "BALLMVideo", "inputs": [ { "name": "prompt", "type": "STRING", "format": "slot" }, { "name": "image", "type": "IMAGE", "format": "slot" }, { "name": "audio", "type": "AUDIO", "format": "slot" }, { "name": "video", "type": "VIDEO", "format": "slot" }, { "name": "user_prompt", "label": "user_prompt", "type": "STRING", "value": "Pet appearance:<@image/image0>,The script is:<@text/text0>,Animal anthropomorphic anchor,The anthropomorphic timbre is:<@text/text1>" }, { "name": "config", "type": "STRING", "value": "" }, { "name": "model", "label": "model", "type": "STRING", "value": "{\"model_name\":\"Doubao-Seedance-2.0-pro\",\"gpt_model_name\":\"\",\"product_name\":\"Doubao-Seedance-2.0-pro\",\"max_token\":1000,\"cache_ep\":false,\"endpoint\":null,\"username_lumi\":\"\",\"schema\":[{\"name\":\"content\",\"label\":\"content\",\"tips\":\"Reference content\",\"internal_name\":\"content\",\"format\":\"multi_model\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"structure\":\"seedance_2\",\"support_smart_duration\":null},\"omitempty\":false},{\"name\":\"inner_generation_options.return_dual_stack_url\",\"label\":\"inner_generation_options.return_dual_stack_url\",\"tips\":\"Controls whether returned URL uses internal network domain; true returns internal domain\",\"internal_name\":\"inner_generation_options.return_dual_stack_url\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.return_dual_stack_url\",\"omitempty\":false},{\"name\":\"resolution\",\"label\":\"resolution\",\"tips\":\"Video resolution\",\"internal_name\":\"resolution\",\"format\":\"select\",\"type\":\"string\",\"visible\":true,\"default_value\":\"720p\",\"props\":{\"required\":false,\"enums\":[{\"value\":\"480p\",\"label\":\"480p\"},{\"value\":\"720p\",\"label\":\"720p\"}],\"support_smart_duration\":null},\"json_path\":\"resolution\",\"omitempty\":false},{\"name\":\"ratio\",\"label\":\"ratio\",\"tips\":\"Aspect ratio. adaptive lets model choose within supported range.\",\"internal_name\":\"ratio\",\"format\":\"select\",\"type\":\"string\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"enums\":[{\"value\":\"16:9\",\"label\":\"16:9\"},{\"value\":\"4:3\",\"label\":\"4:3\"},{\"value\":\"1:1\",\"label\":\"1:1\"},{\"value\":\"3:4\",\"label\":\"3:4\"},{\"value\":\"9:16\",\"label\":\"9:16\"},{\"value\":\"21:9\",\"label\":\"21:9\"},{\"value\":\"adaptive\",\"label\":\"adaptive\"}],\"support_smart_duration\":null},\"json_path\":\"ratio\",\"omitempty\":false},{\"name\":\"duration\",\"label\":\"duration\",\"tips\":\"Generated video duration in seconds. Default 5. -1 lets model choose. [4,15] sets duration.\",\"internal_name\":\"duration\",\"format\":\"slide\",\"type\":\"integer\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"min\":4,\"max\":15,\"support_smart_duration\":null},\"json_path\":\"duration\",\"omitempty\":false},{\"name\":\"frames\",\"label\":\"frames\",\"tips\":\"Frame count. Integer matching 25 + 4n.\",\"internal_name\":\"frames\",\"format\":\"integer\",\"type\":\"integer\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"min\":29,\"max\":289,\"support_smart_duration\":null},\"json_path\":\"frames\",\"omitempty\":false},{\"name\":\"seed\",\"label\":\"seed\",\"tips\":\"Random seed\",\"internal_name\":\"seed\",\"format\":\"input_seed\",\"type\":\"integer\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"min\":-1,\"max\":4294967295,\"support_smart_duration\":null},\"json_path\":\"seed\",\"omitempty\":false},{\"name\":\"is_flf\",\"label\":\"First/last frame\",\"tips\":\"Whether to use first/last-frame mode for video generation.\",\"internal_name\":\"is_flf\",\"format\":\"boolean\",\"type\":\"boolean\",\"visible\":true,\"default_value\":false,\"props\":{\"required\":false,\"support_smart_duration\":null},\"skip_gen\":true,\"json_path\":\"is_flf\",\"omitempty\":false},{\"name\":\"camera_fixed\",\"label\":\"camera_fixed\",\"tips\":\"Lock camera\",\"internal_name\":\"camerafixed\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":true,\"default_value\":false,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"camera_fixed\",\"omitempty\":false},{\"name\":\"generate_audio\",\"label\":\"generate_audio\",\"tips\":\"Whether generated video includes synchronized audio.\",\"internal_name\":\"generate_audio\",\"format\":\"boolean\",\"type\":\"boolean\",\"visible\":true,\"default_value\":true,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"generate_audio\",\"omitempty\":false},{\"name\":\"watermark\",\"label\":\"watermark\",\"tips\":\"Include watermark\",\"internal_name\":\"watermark\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":true,\"default_value\":false,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"watermark\",\"omitempty\":false},{\"name\":\"return_last_frame\",\"label\":\"return_last_frame\",\"tips\":\"Return final-frame image. If true, the final frame can be retrieved through the task query API as a watermark-free PNG matching the video dimensions.\",\"internal_name\":\"return_last_frame\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":true,\"default_value\":false,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"return_last_frame\",\"omitempty\":false},{\"name\":\"callback_url\",\"label\":\"callback_url\",\"tips\":\"Callback URL for generation status updates.\",\"internal_name\":\"callback_url\",\"format\":\"text\",\"type\":\"string\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"callback_url\",\"omitempty\":false},{\"name\":\"tools.type\",\"label\":\"tools.type\",\"tips\":\"Tools callable by the model\",\"internal_name\":\"tools.type\",\"format\":\"text_area\",\"type\":\"string\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"tools.type\",\"omitempty\":false},{\"name\":\"draft\",\"label\":\"draft\",\"tips\":\"Controls draft mode. If enabled, user can continue generation from a successful sample task id.\",\"internal_name\":\"draft\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"draft\",\"omitempty\":false},{\"name\":\"service_tier\",\"label\":\"service_tier\",\"tips\":\"Service tier for this request\",\"internal_name\":\"service_tier\",\"format\":\"select\",\"type\":\"string\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"enums\":[{\"value\":\"default\",\"label\":\"default\"},{\"value\":\"flex\",\"label\":\"flex\"}],\"support_smart_duration\":null},\"json_path\":\"service_tier\",\"omitempty\":false},{\"name\":\"execution_expires_after\",\"label\":\"execution_expires_after\",\"tips\":\"Task timeout threshold. Expiration after task submission in seconds, counted from created_at timestamp.\",\"internal_name\":\"execution_expires_after\",\"format\":\"slide\",\"type\":\"integer\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"min\":3600,\"max\":259200,\"support_smart_duration\":null},\"json_path\":\"execution_expires_after\",\"omitempty\":false},{\"name\":\"inner_generation_options.optimize_prompt\",\"label\":\"inner_generation_options.optimize_prompt\",\"tips\":\"Controls whether platform VLM rewrites the user prompt.\",\"internal_name\":\"inner_generation_options.optimize_prompt\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.optimize_prompt\",\"omitempty\":false},{\"name\":\"inner_generation_options.thinking\",\"label\":\"inner_generation_options.thinking\",\"tips\":\"ControlVLMWhether model deep-thinking mode is enabled.\",\"internal_name\":\"inner_generation_options.thinking\",\"format\":\"select\",\"type\":\"string\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"enums\":[{\"value\":\"enabled\",\"label\":\"enabled\"},{\"value\":\"disabled\",\"label\":\"disabled\"}],\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.thinking\",\"omitempty\":false},{\"name\":\"inner_generation_options.creative_rephraser\",\"label\":\"inner_generation_options.creative_rephraser\",\"tips\":\"Expansion type\",\"internal_name\":\"inner_generation_options.creative_rephraser\",\"format\":\"select\",\"type\":\"string\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"enums\":[{\"value\":\"kuoxie\",\"label\":\"kuoxie\"},{\"value\":\"chuangkuo\",\"label\":\"chuangkuo\"}],\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.creative_rephraser\",\"omitempty\":false},{\"name\":\"inner_generation_options.negative_prompt\",\"label\":\"inner_generation_options.negative_prompt\",\"tips\":\"Negative prompt for excluding unwanted, invalid, non-compliant, or off-target output\",\"internal_name\":\"inner_generation_options.negative_prompt\",\"format\":\"text_area\",\"type\":\"string\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.negative_prompt\",\"omitempty\":false}],\"cover_url\":\"https://sf16-sg.tiktokcdn.com/obj/eden-sg/azpayhlafi/ljhwZthlaukjlkulzlp/cover/bytedance.svg\",\"name\":\"Seedance-2.0-pro\",\"name_en\":\"Seedance-2.0-pro\",\"base_url\":\"\",\"inference_types\":[\"t2v\",\"i2v\",\"flf\",\"v2v\"],\"price_configs\":null,\"description\":\"Supports multimodal video generation\",\"required_lumi_resource_uri\":\"\",\"image_multiple\":true,\"image_max_count\":-1,\"key\":\"Doubao-Seedance-2.0-pro\",\"origin\":\"egress\"}" }, { "name": "extra_inputs", "label": "extra_inputs", "type": "STRING", "value": "{\"duration\":15}" } ], "outputs": [ { "name": "video", "type": "VIDEO" }, { "name": "JSON", "type": "STRING" } ], "meta": { "title": "Video generation", "bypass": false, "pos": [ 468.9482409207411, 2254.9406187463246 ], "size": [ 350, 723 ], "extra": { "output_preview_names": [], "status": 0, "user-system-prompt": 68, "inputPrompt": [ { "nodeId": "60", "edgeId": "93", "handler": "STRING", "targetHandler": "prompt", "values": [] }, { "nodeId": "61", "edgeId": "96", "handler": "STRING", "targetHandler": "prompt", "values": [] } ], "isOpenAmassInput": true, "isOpenAmassOutput": true, "userPrompt": [ { "type": "paragraph", "children": [ { "text": "Pet appearance:" }, { "type": "ba-resource", "children": [ { "text": "" } ], "data": { "type": "image", "category": "link", "name": "IMAGE", "nodeId": "66", "outputName": "IMAGE", "targetName": "image" }, "signId": "808IBFCc42-ic64ZCyzZE" }, { "text": ",The script is:" }, { "type": "ba-resource", "children": [ { "text": "" } ], "data": { "type": "text", "category": "link", "name": "STRING", "nodeId": "60", "outputName": "STRING", "targetName": "prompt" }, "signId": "B8WTHU1vWUAIegUMZanSR" }, { "text": ",Animal anthropomorphic anchor,The anthropomorphic timbre is:" }, { "type": "ba-resource", "children": [ { "text": "" } ], "data": { "type": "text", "category": "link", "name": "STRING", "nodeId": "61", "outputName": "STRING", "targetName": "prompt" }, "signId": "MVzdFbgsJdHgxD2Uyo7lB" }, { "text": "" } ] } ], "inputImages": [ { "nodeId": "66", "edgeId": "107", "handler": "IMAGE", "targetHandler": "image", "values": [] } ], "debug": false } } }, { "id": "56", "type": "BALLMText", "inputs": [ { "name": "text", "type": "STRING", "format": "slot" }, { "name": "image", "type": "IMAGE", "format": "slot" }, { "name": "video", "type": "VIDEO", "format": "slot" }, { "name": "model", "label": "model", "type": "STRING", "value": "{\"model\":\"ByteDance-Seed-1.8\",\"max_tokens\":2000,\"name\":\"ByteDance 1.8\",\"name_en\":\"ByteDance-1.8\",\"cover_url\":\"https://sf16-sg.tiktokcdn.com/obj/eden-sg/azpayhlafi/ljhwZthlaukjlkulzlp/cover/bytedance.svg\",\"support_multi_image_input\":true,\"support_multi_prompt_input\":true,\"support_multimodal\":false,\"support_vision_status\":2,\"schema\":[{\"name\":\"thinking\",\"label\":\"thinking\",\"tips\":\"Enable deep thinking mode\",\"internal_name\":\"thinking\",\"format\":\"select\",\"type\":\"string\",\"visible\":true,\"default_value\":\"false\",\"props\":{\"required\":false,\"enums\":[{\"value\":\"disabled\",\"label\":\"false\"},{\"value\":\"enabled\",\"label\":\"true\"}],\"support_smart_duration\":null},\"json_path\":\"thinking.type\",\"omitempty\":false},{\"name\":\"max_tokens\",\"label\":\"Maximum response length\",\"tips\":\"Maximum response length in tokens. Roughly controls answer size.\",\"internal_name\":\"max_tokens\",\"format\":\"input_number\",\"type\":\"int\",\"visible\":true,\"default_value\":1000,\"show_switch\":true,\"switch_value\":true,\"props\":{\"required\":false,\"min\":1,\"max\":32000,\"precision\":0,\"support_smart_duration\":null},\"json_path\":\"max_tokens\",\"omitempty\":false},{\"name\":\"temperature\",\"label\":\"Temperature\",\"tips\":\"Temperature controls randomness. Lower values are more deterministic; higher values are more varied.\",\"internal_name\":\"temperature\",\"format\":\"input_number\",\"type\":\"float32\",\"visible\":true,\"default_value\":0.7,\"show_switch\":true,\"switch_value\":true,\"props\":{\"required\":false,\"min\":0,\"max\":1,\"precision\":1,\"support_smart_duration\":null},\"json_path\":\"temperature\",\"omitempty\":false},{\"name\":\"top_p\",\"label\":\"Top P\",\"tips\":\"Top-p nucleus sampling controls diversity.\",\"internal_name\":\"top_p\",\"format\":\"input_number\",\"type\":\"float32\",\"visible\":true,\"default_value\":1,\"show_switch\":true,\"switch_value\":false,\"props\":{\"required\":false,\"min\":0,\"max\":1,\"precision\":1,\"support_smart_duration\":null},\"json_path\":\"top_p\",\"omitempty\":false},{\"name\":\"seed\",\"label\":\"seed\",\"tips\":\"seed\",\"internal_name\":\"seed\",\"format\":\"input_seed\",\"type\":\"int\",\"visible\":true,\"default_value\":-1,\"props\":{\"required\":false,\"min\":-1,\"max\":2147483647,\"support_smart_duration\":null},\"json_path\":\"seed\",\"omitempty\":false}],\"vision_model\":\"ByteDance-Seed-1.8\",\"key\":\"ByteDance-Seed-1.8\",\"origin\":\"egress\"}" }, { "name": "user_prompt", "label": "user_prompt", "type": "STRING", "value": "Referring to the pet breed in <@image/image0> and based only on the storyline provided in <@text/text0>, create a complete 45-second video script for a pet radio host, featuring an anthropomorphic pet speaking.\n\nThe video should be a pure story, not a sales or promotional video. Do not mention products, brands, selling points, marketing, or calls to action. Keep the same cozy pet-podcast tone and theme: gentle, reassuring, slightly haughty, and soft-spoken, as if soothing its owner to sleep. Expand the story into a clear beginning, middle, and bedtime closing.\n\nThe entire video must be divided into three parts, each 15 seconds long. Each part may contain multiple shots. The duration of each shot within each part should be calculated independently:\n\n* Part 1: 0-15 seconds — introduce the pet host and the day's playful memory.\n\n* Part 2: 0-15 seconds — continue directly from Part 1, describing the friends, gentle play, and small proud moment.\n\n* Part 3: 0-15 seconds — continue directly from Part 2, turning the memory into a calm bedtime sign-off for the owner.\n\nShot durations should be flexibly and naturally distributed, rather than at fixed intervals.\n\nThe storyline must remain coherent; Part 2 should directly connect to Part 1, and Part 3 should directly connect to Part 2.\n\nThe three parts must be separated by ampersands (&), using exactly two ampersands total. Do not use ampersands inside dialogue or descriptions.\n\nThe main character in the script is named: @the pet breed in <@image/image0>.\n\n--- ### Each shot must contain the following four elements:\n\nTime: The specific video length of the current segment (e.g., 0-4 seconds, 4-9 seconds).\n\nLocation: Scene setting (e.g., home studio, living room, garden, cozy blanket corner, etc.).\n\nEnvironment: Lighting, atmosphere, background details, and storytelling style.\n\nContent: The anthropomorphic pet radio host speaking, with shot size noted in the content line (close-up, medium shot, long shot, etc.).\n\n---\n\n### Important Rules\n\n* The content must include specific dialogue.\n\n* Each 15-second segment should contain 2-8 shots.\n\n* Part 2 must immediately follow the storyline of Part 1.\n\n* Part 3 must immediately follow the storyline of Part 2 and provide a satisfying calm ending.\n\n* The speaker is not human; the host is a pet.\n\n* The script should be clear, easy to understand, and engaging.\n\n* Only the script content needs to be output; no explanation is required.\n\n* Dialogue should be logical, and the transitions between segments should be smooth.\n\n* The script's voice is anthropomorphic male voice.\n\n---\n\n### Final Output Format\n\nTime:\nLocation:\nEnvironment:\nContent:\n\nTime:\nLocation:\nEnvironment:\nContent:\n\n&\nTime:\nLocation:\nEnvironment:\nContent:\n\nTime:\nLocation:\nEnvironment:\nContent:\n\n&\nTime:\nLocation:\nEnvironment:\nContent:\n\nTime:\nLocation:\nEnvironment:\nContent:" }, { "name": "system_prompt", "label": "system_prompt", "type": "STRING", "value": "" }, { "name": "max_tokens", "label": "max_tokens", "type": "INT", "value": 3000 }, { "name": "extra_inputs", "label": "extra_inputs", "type": "STRING", "value": "{\"thinking\":\"false\",\"max_tokens\":2000,\"temperature\":1,\"seed\":-1}" } ], "outputs": [ { "name": "text", "type": "STRING" } ], "meta": { "title": "Text generation", "pos": [ -545.7346137387599, 2257.094477058875 ], "size": [ 350, 739 ], "extra": { "output_preview_names": [], "status": 2, "user-system-prompt": 147, "modelConfig": { "thinking": { "value": "false", "switch": true }, "max_tokens": { "value": 1000, "switch": true }, "temperature": { "value": 1, "switch": true }, "top_p": { "value": 1, "switch": false }, "seed": { "value": -1, "switch": true }, "system_prompt": { "switch": false } }, "isOpenAmassInput": true, "isOpenAmassOutput": true, "inputTexts": [ { "nodeId": "57", "edgeId": "91", "handler": "STRING", "targetHandler": "text", "values": [] } ], "prompt_height": 308.65625, "userPrompt": [ { "type": "paragraph", "children": [ { "text": "Referring to the pet breed in " }, { "type": "ba-resource", "children": [ { "text": "" } ], "data": { "type": "image", "category": "link", "name": "IMAGE", "nodeId": "66", "outputName": "IMAGE", "targetName": "image" }, "signId": "sybh_4yniLLAdtXDDSJ-9" }, { "text": " and based on the product and storyline provided in " }, { "type": "ba-resource", "children": [ { "text": "" } ], "data": { "type": "text", "category": "link", "name": "STRING", "nodeId": "57", "outputName": "STRING", "targetName": "text" }, "signId": "9Gd3QJZhLMuXS_alfEjdt" }, { "text": ",create a complete 30-second video script for a pet radio host, featuring an anthropomorphic pet speaking.\r\n\r\nThe video should center on the pet's performance: gentle, reassuring, slightly haughty, and soft-spoken, as if soothing its owner to sleep.\r\n\r\nThe entire video must be divided into two parts, each 15 seconds long. Each part may contain multiple shots. The duration of each shot within each part should be calculated independently:\r\n\r\n* Part 1: 0-15 seconds\r\n\r\n* Part 2: 0-15 seconds\r\n\r\nShot durations should be flexibly and naturally distributed, rather than at fixed intervals.\r\n\r\nAlthough the second part differs in length from the first, the storyline must remain coherent; that is, the second part should directly connect to the plot and dialogue of the first part.\r\n\r\nThe two parts must be separated by an ampersand (&).\r\n\r\nThe main character in the script is named: @the pet breed in " }, { "type": "ba-resource", "children": [ { "text": "" } ], "data": { "type": "image", "category": "link", "name": "IMAGE", "nodeId": "66", "outputName": "IMAGE", "targetName": "image" }, "signId": "BHLku0D7Rah-zAF_8uSLe" }, { "text": ".\r\n\r\n--- ### Each shot must contain the following four elements:\r\n\r\nTime: The specific video length of the current segment (e.g., 0-4 seconds, 4-9 seconds).\r\n\r\nLocation: Scene setting (e.g., studio, living room, outdoor running track, etc.).\r\n\r\nEnvironment: Lighting, atmosphere, background details, and commercial presentation style.\r\n\r\nContent: The anthropomorphic pet radio host speaking.\r\n\r\nShot size (close-up, medium shot, long shot, product close-up, etc.).\r\n\r\n---\r\n\r\n### Important Rules\r\n\r\n* The content must include specific dialogue.\r\n\r\n* Each 15-second segment should contain 2-8 shots.\r\n\r\n* The second part must immediately follow the storyline of the first part.\r\n\r\n* The speaker is not human; the host is a pet.\r\n\r\n* The script should be clear, easy to understand, and engaging.\r\n\r\n* Only the script content needs to be output; no explanation is required.\r\n\r\n* Dialogue should be logical, and the transitions between segments should be smooth.\r\n\r\n* The script's voice is anthropomorphic male voice." } ] }, { "type": "paragraph", "children": [ { "text": "---\r\n\r\n### Final Output Format\r\n\r\nTime:\r\n\r\nLocation:\r\n\r\nEnvironment:\r\n\r\nContent:\r\n\r\nTime:\r\n\r\nLocation:\r\n\r\nEnvironment:\r\n\r\nContent:\r\n\r\n&\r\nTime:\r\n\r\nLocation:\r\n\r\nEnvironment:\r\n\r\nContent:\r\n\r\nTime:\r\n\r\nLocation:\r\n\r\nEnvironment:\r\n\r\nContent:" } ] } ], "prompt": "Time: 0-5 seconds\nLocation: Cozy home radio nook\nEnvironment: Warm soft desk lamp lighting, a tiny wooden radio mic in front, white background with a small plush parrot toy on the side, warm and tranquil atmosphere\nContent: @African Grey Parrot medium shot, tilting his head slightly, soft male voice: \"Good evening, little human. Today I want to tell you about the fun with my friends.\"\n\nTime: 5-15 seconds\nLocation: Cozy home radio nook\nEnvironment: Same warm lighting, the camera zooms into a close-up of the parrot's eyes\nContent: @African Grey Parrot close-up, voice gentle and with a hint of pride: \"We played hide-and-seek in the aviary. I found the cockatiel hiding in the flower pot first, of course.\"\n\n&\nTime: 0-7 seconds\nLocation: Cozy home radio nook\nEnvironment: Warm lamp still glowing, camera pulls back to medium shot, the parrot shifts his weight slightly\nContent: @African Grey Parrot medium shot, voice softening like lullaby: \"Later we shared a sunflower seed snack. I let the little lovebird have my extra one.\"\n\nTime: 7-15 seconds\nLocation: Cozy home radio nook\nEnvironment: Lighting dims a little, atmosphere becomes more drowsy\nContent: @African Grey Parrot close-up of beak, voice slow and gentle: \"Alright, it's time for you to sleep. I'll tell you more tomorrow, good night.\"", "inputImages": [ { "nodeId": "66", "edgeId": "106", "handler": "IMAGE", "targetHandler": "image", "values": [] } ] } } }, { "id": "57", "type": "PrimitiveString", "inputs": [ { "name": "value", "label": "value", "type": "STRING", "value": "The pet in the photo is a gentle, slightly haughty late-night pet radio host. 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"additionalProperties": false, "properties": {} }, "output": { "$schema": "http://json-schema.org/draft-07/schema#", "type": "object", "additionalProperties": false, "properties": {} } }, "prompt": { "55": { "class_type": "BALLMVideo", "inputs": { "prompt0": [ "60", 0 ], "prompt1": [ "61", 0 ], "image0": [ "66", 0 ], "user_prompt": "Pet appearance:<@image/image0>,The script is:<@text/text0>,Animal anthropomorphic anchor,The anthropomorphic timbre is:<@text/text1>", "config": "", "model": "{\"model_name\":\"Doubao-Seedance-2.0-pro\",\"gpt_model_name\":\"\",\"product_name\":\"Doubao-Seedance-2.0-pro\",\"max_token\":1000,\"cache_ep\":false,\"endpoint\":null,\"username_lumi\":\"\",\"schema\":[{\"name\":\"content\",\"label\":\"content\",\"tips\":\"Reference content\",\"internal_name\":\"content\",\"format\":\"multi_model\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"structure\":\"seedance_2\",\"support_smart_duration\":null},\"omitempty\":false},{\"name\":\"inner_generation_options.return_dual_stack_url\",\"label\":\"inner_generation_options.return_dual_stack_url\",\"tips\":\"Controls whether returned URL uses internal network domain; true returns internal domain\",\"internal_name\":\"inner_generation_options.return_dual_stack_url\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.return_dual_stack_url\",\"omitempty\":false},{\"name\":\"resolution\",\"label\":\"resolution\",\"tips\":\"Video resolution\",\"internal_name\":\"resolution\",\"format\":\"select\",\"type\":\"string\",\"visible\":true,\"default_value\":\"720p\",\"props\":{\"required\":false,\"enums\":[{\"value\":\"480p\",\"label\":\"480p\"},{\"value\":\"720p\",\"label\":\"720p\"}],\"support_smart_duration\":null},\"json_path\":\"resolution\",\"omitempty\":false},{\"name\":\"ratio\",\"label\":\"ratio\",\"tips\":\"Aspect ratio. adaptive lets model choose within supported range.\",\"internal_name\":\"ratio\",\"format\":\"select\",\"type\":\"string\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"enums\":[{\"value\":\"16:9\",\"label\":\"16:9\"},{\"value\":\"4:3\",\"label\":\"4:3\"},{\"value\":\"1:1\",\"label\":\"1:1\"},{\"value\":\"3:4\",\"label\":\"3:4\"},{\"value\":\"9:16\",\"label\":\"9:16\"},{\"value\":\"21:9\",\"label\":\"21:9\"},{\"value\":\"adaptive\",\"label\":\"adaptive\"}],\"support_smart_duration\":null},\"json_path\":\"ratio\",\"omitempty\":false},{\"name\":\"duration\",\"label\":\"duration\",\"tips\":\"Generated video duration in seconds. Default 5. -1 lets model choose. [4,15] sets duration.\",\"internal_name\":\"duration\",\"format\":\"slide\",\"type\":\"integer\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"min\":4,\"max\":15,\"support_smart_duration\":null},\"json_path\":\"duration\",\"omitempty\":false},{\"name\":\"frames\",\"label\":\"frames\",\"tips\":\"Frame count. Integer matching 25 + 4n.\",\"internal_name\":\"frames\",\"format\":\"integer\",\"type\":\"integer\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"min\":29,\"max\":289,\"support_smart_duration\":null},\"json_path\":\"frames\",\"omitempty\":false},{\"name\":\"seed\",\"label\":\"seed\",\"tips\":\"Random seed\",\"internal_name\":\"seed\",\"format\":\"input_seed\",\"type\":\"integer\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"min\":-1,\"max\":4294967295,\"support_smart_duration\":null},\"json_path\":\"seed\",\"omitempty\":false},{\"name\":\"is_flf\",\"label\":\"First/last frame\",\"tips\":\"Whether to use first/last-frame mode for video generation.\",\"internal_name\":\"is_flf\",\"format\":\"boolean\",\"type\":\"boolean\",\"visible\":true,\"default_value\":false,\"props\":{\"required\":false,\"support_smart_duration\":null},\"skip_gen\":true,\"json_path\":\"is_flf\",\"omitempty\":false},{\"name\":\"camera_fixed\",\"label\":\"camera_fixed\",\"tips\":\"Lock camera\",\"internal_name\":\"camerafixed\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":true,\"default_value\":false,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"camera_fixed\",\"omitempty\":false},{\"name\":\"generate_audio\",\"label\":\"generate_audio\",\"tips\":\"Whether generated video includes synchronized audio.\",\"internal_name\":\"generate_audio\",\"format\":\"boolean\",\"type\":\"boolean\",\"visible\":true,\"default_value\":true,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"generate_audio\",\"omitempty\":false},{\"name\":\"watermark\",\"label\":\"watermark\",\"tips\":\"Include watermark\",\"internal_name\":\"watermark\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":true,\"default_value\":false,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"watermark\",\"omitempty\":false},{\"name\":\"return_last_frame\",\"label\":\"return_last_frame\",\"tips\":\"Return final-frame image. If true, the final frame can be retrieved through the task query API as a watermark-free PNG matching the video dimensions.\",\"internal_name\":\"return_last_frame\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":true,\"default_value\":false,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"return_last_frame\",\"omitempty\":false},{\"name\":\"callback_url\",\"label\":\"callback_url\",\"tips\":\"Callback URL for generation status updates.\",\"internal_name\":\"callback_url\",\"format\":\"text\",\"type\":\"string\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"callback_url\",\"omitempty\":false},{\"name\":\"tools.type\",\"label\":\"tools.type\",\"tips\":\"Tools callable by the model\",\"internal_name\":\"tools.type\",\"format\":\"text_area\",\"type\":\"string\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"tools.type\",\"omitempty\":false},{\"name\":\"draft\",\"label\":\"draft\",\"tips\":\"Controls draft mode. If enabled, user can continue generation from a successful sample task id.\",\"internal_name\":\"draft\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"draft\",\"omitempty\":false},{\"name\":\"service_tier\",\"label\":\"service_tier\",\"tips\":\"Service tier for this request\",\"internal_name\":\"service_tier\",\"format\":\"select\",\"type\":\"string\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"enums\":[{\"value\":\"default\",\"label\":\"default\"},{\"value\":\"flex\",\"label\":\"flex\"}],\"support_smart_duration\":null},\"json_path\":\"service_tier\",\"omitempty\":false},{\"name\":\"execution_expires_after\",\"label\":\"execution_expires_after\",\"tips\":\"Task timeout threshold. Expiration after task submission in seconds, counted from created_at timestamp.\",\"internal_name\":\"execution_expires_after\",\"format\":\"slide\",\"type\":\"integer\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"min\":3600,\"max\":259200,\"support_smart_duration\":null},\"json_path\":\"execution_expires_after\",\"omitempty\":false},{\"name\":\"inner_generation_options.optimize_prompt\",\"label\":\"inner_generation_options.optimize_prompt\",\"tips\":\"Controls whether platform VLM rewrites the user prompt.\",\"internal_name\":\"inner_generation_options.optimize_prompt\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.optimize_prompt\",\"omitempty\":false},{\"name\":\"inner_generation_options.thinking\",\"label\":\"inner_generation_options.thinking\",\"tips\":\"ControlVLMWhether model deep-thinking mode is enabled.\",\"internal_name\":\"inner_generation_options.thinking\",\"format\":\"select\",\"type\":\"string\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"enums\":[{\"value\":\"enabled\",\"label\":\"enabled\"},{\"value\":\"disabled\",\"label\":\"disabled\"}],\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.thinking\",\"omitempty\":false},{\"name\":\"inner_generation_options.creative_rephraser\",\"label\":\"inner_generation_options.creative_rephraser\",\"tips\":\"Expansion type\",\"internal_name\":\"inner_generation_options.creative_rephraser\",\"format\":\"select\",\"type\":\"string\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"enums\":[{\"value\":\"kuoxie\",\"label\":\"kuoxie\"},{\"value\":\"chuangkuo\",\"label\":\"chuangkuo\"}],\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.creative_rephraser\",\"omitempty\":false},{\"name\":\"inner_generation_options.negative_prompt\",\"label\":\"inner_generation_options.negative_prompt\",\"tips\":\"Negative prompt for excluding unwanted, invalid, non-compliant, or off-target output\",\"internal_name\":\"inner_generation_options.negative_prompt\",\"format\":\"text_area\",\"type\":\"string\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.negative_prompt\",\"omitempty\":false}],\"cover_url\":\"https://sf16-sg.tiktokcdn.com/obj/eden-sg/azpayhlafi/ljhwZthlaukjlkulzlp/cover/bytedance.svg\",\"name\":\"Seedance-2.0-pro\",\"name_en\":\"Seedance-2.0-pro\",\"base_url\":\"\",\"inference_types\":[\"t2v\",\"i2v\",\"flf\",\"v2v\"],\"price_configs\":null,\"description\":\"Supports multimodal video generation\",\"required_lumi_resource_uri\":\"\",\"image_multiple\":true,\"image_max_count\":-1,\"key\":\"Doubao-Seedance-2.0-pro\",\"origin\":\"egress\"}", "extra_inputs": "{\"duration\":15}" }, "ba_meta": { "is_carrier": true } }, "56": { "class_type": "BALLMText", "inputs": { "text0": [ "57", 0 ], "image0": [ "66", 0 ], "model": "{\"model\":\"ByteDance-Seed-1.8\",\"max_tokens\":2000,\"name\":\"ByteDance 1.8\",\"name_en\":\"ByteDance-1.8\",\"cover_url\":\"https://sf16-sg.tiktokcdn.com/obj/eden-sg/azpayhlafi/ljhwZthlaukjlkulzlp/cover/bytedance.svg\",\"support_multi_image_input\":true,\"support_multi_prompt_input\":true,\"support_multimodal\":false,\"support_vision_status\":2,\"schema\":[{\"name\":\"thinking\",\"label\":\"thinking\",\"tips\":\"Enable deep thinking mode\",\"internal_name\":\"thinking\",\"format\":\"select\",\"type\":\"string\",\"visible\":true,\"default_value\":\"false\",\"props\":{\"required\":false,\"enums\":[{\"value\":\"disabled\",\"label\":\"false\"},{\"value\":\"enabled\",\"label\":\"true\"}],\"support_smart_duration\":null},\"json_path\":\"thinking.type\",\"omitempty\":false},{\"name\":\"max_tokens\",\"label\":\"Maximum response length\",\"tips\":\"Maximum response length in tokens. Roughly controls answer size.\",\"internal_name\":\"max_tokens\",\"format\":\"input_number\",\"type\":\"int\",\"visible\":true,\"default_value\":1000,\"show_switch\":true,\"switch_value\":true,\"props\":{\"required\":false,\"min\":1,\"max\":32000,\"precision\":0,\"support_smart_duration\":null},\"json_path\":\"max_tokens\",\"omitempty\":false},{\"name\":\"temperature\",\"label\":\"Temperature\",\"tips\":\"Temperature controls randomness. Lower values are more deterministic; higher values are more varied.\",\"internal_name\":\"temperature\",\"format\":\"input_number\",\"type\":\"float32\",\"visible\":true,\"default_value\":0.7,\"show_switch\":true,\"switch_value\":true,\"props\":{\"required\":false,\"min\":0,\"max\":1,\"precision\":1,\"support_smart_duration\":null},\"json_path\":\"temperature\",\"omitempty\":false},{\"name\":\"top_p\",\"label\":\"Top P\",\"tips\":\"Top-p nucleus sampling controls diversity.\",\"internal_name\":\"top_p\",\"format\":\"input_number\",\"type\":\"float32\",\"visible\":true,\"default_value\":1,\"show_switch\":true,\"switch_value\":false,\"props\":{\"required\":false,\"min\":0,\"max\":1,\"precision\":1,\"support_smart_duration\":null},\"json_path\":\"top_p\",\"omitempty\":false},{\"name\":\"seed\",\"label\":\"seed\",\"tips\":\"seed\",\"internal_name\":\"seed\",\"format\":\"input_seed\",\"type\":\"int\",\"visible\":true,\"default_value\":-1,\"props\":{\"required\":false,\"min\":-1,\"max\":2147483647,\"support_smart_duration\":null},\"json_path\":\"seed\",\"omitempty\":false}],\"vision_model\":\"ByteDance-Seed-1.8\",\"key\":\"ByteDance-Seed-1.8\",\"origin\":\"egress\"}", "user_prompt": "Referring to the pet breed in <@image/image0> and based only on the storyline provided in <@text/text0>, create a complete 45-second video script for a pet radio host, featuring an anthropomorphic pet speaking.\n\nThe video should be a pure story, not a sales or promotional video. Do not mention products, brands, selling points, marketing, or calls to action. Keep the same cozy pet-podcast tone and theme: gentle, reassuring, slightly haughty, and soft-spoken, as if soothing its owner to sleep. Expand the story into a clear beginning, middle, and bedtime closing.\n\nThe entire video must be divided into three parts, each 15 seconds long. Each part may contain multiple shots. The duration of each shot within each part should be calculated independently:\n\n* Part 1: 0-15 seconds — introduce the pet host and the day's playful memory.\n\n* Part 2: 0-15 seconds — continue directly from Part 1, describing the friends, gentle play, and small proud moment.\n\n* Part 3: 0-15 seconds — continue directly from Part 2, turning the memory into a calm bedtime sign-off for the owner.\n\nShot durations should be flexibly and naturally distributed, rather than at fixed intervals.\n\nThe storyline must remain coherent; Part 2 should directly connect to Part 1, and Part 3 should directly connect to Part 2.\n\nThe three parts must be separated by ampersands (&), using exactly two ampersands total. Do not use ampersands inside dialogue or descriptions.\n\nThe main character in the script is named: @the pet breed in <@image/image0>.\n\n--- ### Each shot must contain the following four elements:\n\nTime: The specific video length of the current segment (e.g., 0-4 seconds, 4-9 seconds).\n\nLocation: Scene setting (e.g., home studio, living room, garden, cozy blanket corner, etc.).\n\nEnvironment: Lighting, atmosphere, background details, and storytelling style.\n\nContent: The anthropomorphic pet radio host speaking, with shot size noted in the content line (close-up, medium shot, long shot, etc.).\n\n---\n\n### Important Rules\n\n* The content must include specific dialogue.\n\n* Each 15-second segment should contain 2-8 shots.\n\n* Part 2 must immediately follow the storyline of Part 1.\n\n* Part 3 must immediately follow the storyline of Part 2 and provide a satisfying calm ending.\n\n* The speaker is not human; the host is a pet.\n\n* The script should be clear, easy to understand, and engaging.\n\n* Only the script content needs to be output; no explanation is required.\n\n* Dialogue should be logical, and the transitions between segments should be smooth.\n\n* The script's voice is anthropomorphic male voice.\n\n---\n\n### Final Output Format\n\nTime:\nLocation:\nEnvironment:\nContent:\n\nTime:\nLocation:\nEnvironment:\nContent:\n\n&\nTime:\nLocation:\nEnvironment:\nContent:\n\nTime:\nLocation:\nEnvironment:\nContent:\n\n&\nTime:\nLocation:\nEnvironment:\nContent:\n\nTime:\nLocation:\nEnvironment:\nContent:", "system_prompt": "", "max_tokens": 3000, "extra_inputs": "{\"thinking\":\"false\",\"max_tokens\":2000,\"temperature\":1,\"seed\":-1}", "cache": "" }, "ba_meta": { "default_value_map": { "cache": { "type": "text", "values": [ "Time: 0-5 seconds\nLocation: Cozy home radio nook\nEnvironment: Warm soft desk lamp lighting, a tiny wooden radio mic in front, white background with a small plush parrot toy on the side, warm and tranquil atmosphere\nContent: @African Grey Parrot medium shot, tilting his head slightly, soft male voice: \"Good evening, little human. Today I want to tell you about the fun with my friends.\"\n\nTime: 5-15 seconds\nLocation: Cozy home radio nook\nEnvironment: Same warm lighting, the camera zooms into a close-up of the parrot's eyes\nContent: @African Grey Parrot close-up, voice gentle and with a hint of pride: \"We played hide-and-seek in the aviary. I found the cockatiel hiding in the flower pot first, of course.\"\n\n&\nTime: 0-7 seconds\nLocation: Cozy home radio nook\nEnvironment: Warm lamp still glowing, camera pulls back to medium shot, the parrot shifts his weight slightly\nContent: @African Grey Parrot medium shot, voice softening like lullaby: \"Later we shared a sunflower seed snack. I let the little lovebird have my extra one.\"\n\nTime: 7-15 seconds\nLocation: Cozy home radio nook\nEnvironment: Lighting dims a little, atmosphere becomes more drowsy\nContent: @African Grey Parrot close-up of beak, voice slow and gentle: \"Alright, it's time for you to sleep. I'll tell you more tomorrow, good night.\"" ], "is_output_cache": true } }, "is_carrier": true } }, "57": { "class_type": "PrimitiveString", "inputs": { "value": "The pet in the photo is a gentle, slightly haughty late-night pet radio host. He shares the story of playing with friends today, turns the small adventure into a soft bedtime reflection, and calmly reassures his owner that the day is complete and it is safe to sleep." } }, "60": { "class_type": "RegexExtract", "inputs": { "string": [ "56", 0 ], "regex_pattern": "^[\\s\\S]*?(?=&)", "mode": "First Match", "case_insensitive": true, "multiline": false, "dotall": false, "group_index": 1 } }, "61": { "class_type": "PrimitiveString", "inputs": { "value": "Male voice" } }, "62": { "class_type": "BALLMVideo", "inputs": { "prompt0": [ "63", 0 ], "prompt1": [ "61", 0 ], "image0": [ "66", 0 ], "image1": [ "70", 0 ], "user_prompt": "The first image is:<@image/image1>,Pet appearance:<@image/image0>,The script is:<@text/text0>,Animal anthropomorphic anchor,The anthropomorphic timbre is:<@text/text1>", "config": "", "model": "{\"model_name\":\"Doubao-Seedance-2.0-pro\",\"gpt_model_name\":\"\",\"product_name\":\"Doubao-Seedance-2.0-pro\",\"max_token\":1000,\"cache_ep\":false,\"endpoint\":null,\"username_lumi\":\"\",\"schema\":[{\"name\":\"content\",\"label\":\"content\",\"tips\":\"Reference content\",\"internal_name\":\"content\",\"format\":\"multi_model\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"structure\":\"seedance_2\",\"support_smart_duration\":null},\"omitempty\":false},{\"name\":\"inner_generation_options.return_dual_stack_url\",\"label\":\"inner_generation_options.return_dual_stack_url\",\"tips\":\"Controls whether returned URL uses internal network domain; true returns internal domain\",\"internal_name\":\"inner_generation_options.return_dual_stack_url\",\"format\":\"input_boolean\",\"type\":\"boolean\",\"visible\":false,\"default_value\":null,\"props\":{\"required\":false,\"support_smart_duration\":null},\"json_path\":\"inner_generation_options.return_dual_stack_url\",\"omitempty\":false},{\"name\":\"resolution\",\"label\":\"resolution\",\"tips\":\"Video resolution\",\"internal_name\":\"resolution\",\"format\":\"select\",\"type\":\"string\",\"visible\":true,\"default_value\":\"720p\",\"props\":{\"required\":false,\"enums\":[{\"value\":\"480p\",\"label\":\"480p\"},{\"value\":\"720p\",\"label\":\"720p\"}],\"support_smart_duration\":null},\"json_path\":\"resolution\",\"omitempty\":false},{\"name\":\"ratio\",\"label\":\"ratio\",\"tips\":\"Aspect ratio. adaptive lets model choose within supported range.\",\"internal_name\":\"ratio\",\"format\":\"select\",\"type\":\"string\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"enums\":[{\"value\":\"16:9\",\"label\":\"16:9\"},{\"value\":\"4:3\",\"label\":\"4:3\"},{\"value\":\"1:1\",\"label\":\"1:1\"},{\"value\":\"3:4\",\"label\":\"3:4\"},{\"value\":\"9:16\",\"label\":\"9:16\"},{\"value\":\"21:9\",\"label\":\"21:9\"},{\"value\":\"adaptive\",\"label\":\"adaptive\"}],\"support_smart_duration\":null},\"json_path\":\"ratio\",\"omitempty\":false},{\"name\":\"duration\",\"label\":\"duration\",\"tips\":\"Generated video duration in seconds. Default 5. -1 lets model choose. [4,15] sets duration.\",\"internal_name\":\"duration\",\"format\":\"slide\",\"type\":\"integer\",\"visible\":true,\"default_value\":null,\"props\":{\"required\":false,\"min\":4,\"max\":15,\"support_smart_duration\":null},\"json_path\":\"duration\",\"omitempty\":false},{\"name\":\"frames\",\"label\":\"frames\",\"tips\":\"Frame count. 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], "max_tokens": [ "INT", { "baNextHidden": true, "tooltip": "tokennumber", "default": 2000, "min": 1, "step": 1 } ], "extra_inputs": [ "STRING", { "baNextHidden": true, "default": "", "tooltip": "Extra inputs", "multiline": true } ] }, "hidden": { "prompt": "PROMPT", "unique_id": "UNIQUE_ID" } }, "input_order": { "required": [], "optional": [ "text", "image", "video", "model", "user_prompt", "system_prompt", "max_tokens", "extra_inputs" ], "hidden": [ "prompt", "unique_id" ] }, "output": [ "STRING" ], "output_is_list": [ false ], "output_name": [ "text" ], "name": "BALLMText", "display_name": "Text generation", "description": "", "python_module": "custom_nodes.ba-manager", "category": "LLM/text", "output_node": false }, "PrimitiveString": { "input": { "required": { "value": [ "STRING", {} ] } }, "input_order": { "required": [ "value" ] }, "output": [ "STRING" ], "output_is_list": [ false ], "output_name": [ "STRING" ], "name": "PrimitiveString", "display_name": "String", "description": "", "python_module": "comfy_extras.nodes_primitive", "category": "utils/primitive", "output_node": false }, "RegexExtract": { "input": { "required": { "string": [ "STRING", { "multiline": true } ], "regex_pattern": [ "STRING", { "multiline": true } ], "mode": [ "COMBO", { "options": [ "First Match", "All Matches", "First Group", "All Groups" ] } ], "case_insensitive": [ "BOOLEAN", { "default": true } ], "multiline": [ "BOOLEAN", { "default": false } ], "dotall": [ "BOOLEAN", { "default": false } ], "group_index": [ "INT", { "default": 1, "min": 0, "max": 100 } ] } }, "input_order": { "required": [ "string", "regex_pattern", "mode", "case_insensitive", "multiline", "dotall", "group_index" ] }, "output": [ "STRING" ], "output_is_list": [ false ], "output_name": [ "STRING" ], "name": "RegexExtract", "display_name": "Regex Extract", "description": "", "python_module": "comfy_extras.nodes_string", "category": "utils/string", "output_node": false }, "BAVideoMergerNode": { "input": { "required": { "video1": [ "VIDEO" ], "video2": [ "VIDEO" ] }, "optional": { "video3": [ "VIDEO" ], "video4": [ "VIDEO" ], "video5": [ "VIDEO" ], "audio": [ "AUDIO" ], "size_reference": [ [ 1, 2, 3, 4, 5, "keep", "custom" ], { "default": "keep", "tooltip": "1=first video, 5=last video, keep=keep original size, custom=custom size" } ], "width": [ "INT", { "default": 0, "min": 0, "max": 8192, "step": 1, "tooltip": "Output video width. When size_referenceascustomwhen valid，0means keep original width" } ], "height": [ "INT", { "default": 0, "min": 0, "max": 8192, "step": 1, "tooltip": "Output video height. When size_referenceascustomwhen valid，0means keep original height" } ], "fps": [ "FLOAT", { "default": 0, "min": 0, "max": 60, "step": 0.1, "tooltip": "Output video frame rate. 0means keep original frame rate" } ] } }, "input_order": { "required": [ "video1", "video2" ], "optional": [ "video3", "video4", "video5", "audio", "size_reference", "width", "height", "fps" ] }, "output": [ "VIDEO" ], "output_is_list": [ false ], "output_name": [ "VIDEO" ], "name": "BAVideoMergerNode", "display_name": "BA Merge Videos", "description": "", "python_module": "custom_nodes.ba-manager", "category": "byteartist/universal/video", "output_node": false }, "SaveVideo": { "input": { "required": { "video": [ "VIDEO", { "tooltip": "The video to save." } ], "filename_prefix": [ "STRING", { "default": "video/ComfyUI", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes." } ], "format": [ [ "auto", "mp4" ], { "default": "auto", "tooltip": "The format to save the video as." } ], "codec": [ [ "auto", "h264" ], { "default": "auto", "tooltip": "The codec to use for the video." } ] }, "hidden": { "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO" } }, "input_order": { "required": [ "video", "filename_prefix", "format", "codec" ], "hidden": [ "prompt", "extra_pnginfo" ] }, "output": [], "output_is_list": [], "output_name": [], "name": "SaveVideo", "display_name": "Save Video", "description": "Saves the input images to your ComfyUI output directory.", "python_module": "comfy_extras.nodes_video", "category": "image/video", "output_node": true }, "LoadImage": { "input": { "required": { "image": [ [], { "image_upload": true } ] } }, "input_order": { "required": [ "image" ] }, "output": [ "IMAGE", "MASK" ], "output_is_list": [ false, false ], "output_name": [ "IMAGE", "MASK" ], "name": "LoadImage", "display_name": "Load Image", "description": "", "python_module": "nodes", "category": "image", "output_node": false }, "AIPGetVideoAnyFramesList": { "input": { "required": { "video_abs_path": [ "STRING", { "default": "" } ], "idx_list": [ "STRING", { "default": "0.0, 0.5, 1.0" } ], "use_ffmpeg": [ "BOOLEAN", { "default": false } ] } }, "input_order": { "required": [ "video_abs_path", "idx_list", "use_ffmpeg" ] }, "output": [ "IMAGE", "INT" ], "output_is_list": [ false, false ], "output_name": [ "binary_array", "total_frames" ], "name": "AIPGetVideoAnyFramesList", "display_name": "AIPGetVideoAnyFramesList", "description": "", "python_module": "custom_nodes.ComfyUI-Aip-Aigc", "category": "IC-AIP-AIGC/VideoUtils", "output_node": false }, "BAResourceConvert": { "input": { "required": {}, "optional": { "input": [ "*", { "forceInput": true, "support_multiple_input": true } ], "input_type": [ "COMBO", { "options": [ "resource_path", "IMAGE", "AUDIO", "VIDEO", "BINARY_DATA" ], "ba_options": [ { "type": "STRING", "label": "Resource path", "value": "resource_path" }, { "type": "IMAGE", "label": "Image", "value": "IMAGE" }, { "type": "AUDIO", "label": "Audio", "value": "AUDIO" }, { "type": "VIDEO", "label": "Video", "value": "VIDEO" }, { "type": "BINARY_DATA", "label": "Binary data", "value": "BINARY_DATA" } ] } ], "output_type": [ "COMBO", { "options": [ "absolute_path", "relative_path", "IMAGE", "AUDIO", "VIDEO", "BINARY_DATA" ], "ba_options": [ { "type": "STRING", "label": "Full path", "value": "absolute_path" }, { "type": "STRING", "label": "Relative path", "value": "relative_path" }, { "type": "IMAGE", "label": "Image", "value": "IMAGE" }, { "type": "AUDIO", "label": "Audio", "value": "AUDIO" }, { "type": "VIDEO", "label": "Video", "value": "VIDEO" }, { "type": "BINARY_DATA", "label": "Binary data", "value": "BINARY_DATA" } ] } ], "auth_token": [ "STRING", { "default": "" } ] } }, "input_order": { "required": [], "optional": [ "input", "input_type", "output_type", "auth_token" ] }, "output": [ "*" ], "output_is_list": [ true ], "output_name": [ "output" ], "name": "BAResourceConvert", "display_name": "BAResourceConvert", "description": "", "python_module": "custom_nodes.ba-manager", "category": "ba", "output_node": false }, "easy showAnything": { "input": { "required": {}, "optional": { "anything": [ "*", {} ] }, "hidden": { "unique_id": "UNIQUE_ID", "extra_pnginfo": "EXTRA_PNGINFO" } }, "input_order": { "required": [], "optional": [ "anything" ], "hidden": [ "unique_id", "extra_pnginfo" ] }, "output": [ "*" ], "output_is_list": [ false ], "output_name": [ "output" ], "name": "easy showAnything", "display_name": "Show Any", "description": "", "python_module": "custom_nodes.ComfyUI-Easy-Use", "category": "EasyUse/Logic", "output_node": true }, "StringFunction|pysssss": { "input": { "required": { "action": [ [ "append", "replace" ], {} ], "tidy_tags": [ [ "yes", "no" ], {} ] }, "optional": { "text_a": [ "STRING", { "multiline": true, "dynamicPrompts": false } ], "text_b": [ "STRING", { "multiline": true, "dynamicPrompts": false } ], "text_c": [ "STRING", { "multiline": true, "dynamicPrompts": false } ] } }, "input_order": { "required": [ "action", "tidy_tags" ], "optional": [ "text_a", "text_b", "text_c" ] }, "output": [ "STRING" ], "output_is_list": [ false ], "output_name": [ "STRING" ], "name": "StringFunction|pysssss", "display_name": "String Function 🐍", "description": "", "python_module": "custom_nodes.ComfyUI-Custom-Scripts", "category": "utils", "output_node": true } }, "custom_node_versions": [], "pip_freeze": [ "absl-py==2.3.1", "accelerate==1.5.2", "addict==2.4.0", "aiofiles==23.2.1", "aiohappyeyeballs==2.6.1", "aiohttp==3.9.1", "aiosignal==1.3.1", "albucore==0.0.24", "albumentations==1.3.0", "annotated-doc==0.0.4", "annotated-types==0.7.0", "antlr4-python3-runtime==4.9.3", "anyio==4.4.0", "async-timeout==4.0.3", "attrs==24.2.0", "av==14.4.0", "basicsr==1.4.2", "beautifulsoup4==4.13.5", "bitsandbytes==0.43.3", "black==24.8.0", "boltons==25.0.0", "brotli==1.2.0", "byted-pypprof==0.0.5", "byted-wandb==0.13.60", "byted_automl_plugin==0.1.3", "byted_baagentcore==0.1.75", "byted_balangex==0.2.5", "byted_lighten_validator==0.2.14", "byted_pydev==0.0.20", "bytedance-context==0.7.1", "bytedance-ivory==1.1.3.post4", "bytedance-metrics==0.5.1", "bytedance.ba-download==0.6.5", "bytedance.bach==21.1.0.8", "bytedance.uploader==0.4.0a15", "bytedance.vcloud==1.0.21", "bytedance.versioncollect==0.2.0", "bytedbackgrounds==0.0.6", "byteddatabus==1.0.8", "byteddps==0.1.2", "bytedenv==0.7.3", "bytedeuler==2.4.3", "bytedivory==0.0.11.post13", "bytedlogger==0.15.1", "bytedlogid==0.2.1", "bytedmeinheld==1.0.2", "bytedmemfd==0.2", "bytedmetrics==0.10.2", "bytedpypolaris==3.0.48", "bytedpyrocketmq==2.3.26", "bytedservicediscovery==0.18.0", "bytedsinfmetacenter==1.4.3", "bytedtcc==1.4.4", "bytedtos==1.1.14", "bytedtrace==0.3.0", "bytedturbox==0.8.0+torch2.5.1", "bytedunicorn==0.9.3", "bytedurllibsec==0.4.0", "bytedwsgimiddleware==0.9.0", "bytedztijwthelper==0.0.21", "bytedztispiffe==0.0.16", "cacheout==0.16.0", "cachetools==5.3.2", "certifi==2024.8.30", "cffi==1.16.0", "chardet==5.2.0", "charset-normalizer==3.3.2", "clean-fid==0.1.35", "click==8.1.7", "clip-interrogator==0.6.0", "coloredlogs==15.0.1", "comfyui-embedded-docs==0.2.0", "comfyui_frontend_package==1.21.7", "comfyui_workflow_templates==0.1.25", "contourpy==1.3.2", "coverage==7.10.5", "cramjam==2.6.2", "crcmod==1.7", "cryptography==45.0.6", "ctranslate2==4.2.1", "cuda-bindings==12.9.4", "cuda-pathfinder==1.4.3", "cycler==0.12.1", "Cython==3.1.3", "dacite==1.9.2", "datasets==2.18.0", "decorator==5.2.1", "Deprecated==1.2.18", "diffusers==0.32.2", "dill==0.3.8", "distro==1.9.0", "dnspython==2.7.0", "docker-pycreds==0.4.0", "easydict==1.13", "einops==0.7.0", "et_xmlfile==2.0.0", "exceptiongroup==1.3.0", "facexlib==0.3.0", "fastapi==0.108.0", "ffmpy==1.0.0", "file-magic==0.4.0", "filelock==3.19.1", "filetype==1.2.0", "filterpy==1.4.5", "flatbuffers==25.2.10", "fonttools==4.59.1", "frozenlist==1.4.1", "fsspec==2024.2.0", "ftfy==6.3.1", "future==1.0.0", "fvcore==0.1.5.post20221221", "gdown==4.7.1", "gevent==22.10.2", "gfpgan==1.3.8", "gitdb==4.0.12", "GitPython==3.1.42", "GPUtil==1.4.0", "gradio==6.9.0", "gradio_client==2.3.0", "greenlet==3.2.4", "groovy==0.1.2", "grpcio==1.74.0", "gunicorn==20.1.0", "h11==0.14.0", "hf-xet==1.1.8", "httpcore==1.0.5", "httpx==0.25.2", "huggingface-hub==0.31.1", "humanfriendly==10.0", "idna==3.10", "imageio==2.37.0", "imageio-ffmpeg==0.6.0", "importlib_metadata==8.7.0", "inflection==0.5.1", "iniconfig==2.0.0", "insightface==0.7.3", "iopath==0.1.10", "ipaddress==1.0.23", "Jinja2==3.1.6", "jiter==0.13.0", "joblib==1.5.1", "json_repair==0.52.3", "jsonc-parser==1.1.5", "jsonmerge==1.8.0", "jsonpatch==1.33", "jsonpointer==3.1.1", "jsonschema==4.25.1", "jsonschema-specifications==2025.4.1", "kiwisolver==1.4.9", "kornia==0.6.7", "kornia_rs==0.1.9", "langchain==0.3.27", "langchain-core==0.3.83", "langchain-text-splitters==0.3.11", "langsmith==0.7.22", "lark==1.1.2", "lazy_loader==0.4", "lightning-utilities==0.15.2", "llvmlite==0.44.0", "lmdb==1.7.3", "lz4==3.1.10", "Markdown==3.8.2", "markdown-it-py==4.0.0", "MarkupSafe==3.0.2", "matplotlib==3.10.5", "mdurl==0.1.2", "ml_dtypes==0.5.4", "mmcv==2.2.0", "mmengine==0.10.7", "moviepy==2.2.1", "mpmath==1.3.0", "mprofile==0.0.15", "msgpack==1.0.8", "multidict==6.0.5", "multiprocess==0.70.16", "mypy-extensions==1.0.0", "networkx==3.4.2", "numba==0.61.2", "numpy==1.26.2", "nvidia-cublas-cu12==12.8.4.1", "nvidia-cuda-cupti-cu12==12.8.90", "nvidia-cuda-nvrtc-cu12==12.8.93", "nvidia-cuda-runtime-cu12==12.8.90", "nvidia-cudnn-cu12==9.10.2.21", "nvidia-cufft-cu12==11.3.3.83", "nvidia-cufile-cu12==1.13.1.3", "nvidia-curand-cu12==10.3.9.90", "nvidia-cusolver-cu12==11.7.3.90", "nvidia-cusparse-cu12==12.5.8.93", "nvidia-cusparselt-cu12==0.7.1", "nvidia-nccl-cu12==2.27.3", "nvidia-nvjitlink-cu12==12.8.93", "nvidia-nvshmem-cu12==3.4.5", "nvidia-nvtx-cu12==12.8.90", "objprint==0.3.0", "omegaconf==2.3.0", "onnx==1.16.1", "onnxruntime==1.20.1", "open-clip-torch==2.20.0", "openai==1.57.1", "opencv-python==4.8.1.78", "opencv-python-headless==4.11.0.86", "openpyxl==3.1.2", "orjson==3.11.7", "packaging==24.1", "pandas==2.3.2", "pathspec==0.12.1", "pathtools==0.1.2", "peft==0.17.1", "piexif==1.1.3", "Pillow==10.1.0", "pip-autoremove==0.10.0", "pipdeptree==2.14.0", "platformdirs==4.2.1", "pluggy==1.5.0", "ply==3.11", "portalocker==3.2.0", "prettytable==3.16.0", "proglog==0.1.12", "promise==2.3", "propcache==0.3.2", "protobuf==3.20.2", "psutil==6.1.1", "py==1.11.0", "py-cpuinfo==9.0.0", "pyarrow==21.0.0", "pyarrow-hotfix==0.7", "pycparser==2.22", "pycryptodome==3.14.1", "pycryptodomex==3.23.0", "pydantic==2.11.7", "pydantic_core==2.33.2", "pydub==0.25.1", "Pygments==2.19.2", "PyJWT==2.10.1", "PyOpenGL==3.1.5", "pyOpenSSL==25.1.0", "pyparsing==3.2.3", "PySocks==1.7.1", "pytest==8.3.2", "pytest-cov==6.2.1", "pytest-cover==3.0.0", "pytest-coverage==0.0", "python-dateutil==2.9.0.post0", "python-etcd==0.4.5", "python-magic==0.4.27", "python-multipart==0.0.22", "python-snappy==0.7.3", "pytorch-lightning==1.9.4", "pytz==2022.1", "PyWavelets==1.8.0", "PyYAML==6.0.1", "qudida==0.0.4", "RapidFuzz==3.14.3", "realesrgan==0.3.0", "referencing==0.36.2", "regex==2025.7.34", "requests==2.31.0", "requests-toolbelt==1.0.0", "resize-right==0.0.2", "retry==0.9.2", "retrying==1.4.2", "rfc3986==1.5.0", "rich==14.1.0", "rotary-embedding-torch==0.8.9", "rpds-py==0.27.0", "safehttpx==0.1.7", "safetensors==0.5.3", "schedule==1.2.2", "scikit-image==0.21.0", "scikit-learn==1.7.1", "scipy==1.11.4", "seaborn==0.13.2", "semantic-version==2.10.0", "sentencepiece==0.2.1", "sentry-sdk==2.35.0", "setproctitle==1.3.6", "shellingham==1.5.4", "shortuuid==1.0.13", "simsimd==6.5.16", "six==1.16.0", "smmap==5.0.2", "sniffio==1.3.1", "soundfile==0.13.1", "soupsieve==2.7", "spandrel==0.4.0", "SQLAlchemy==2.0.48", "starlette==0.32.0.post1", "stringzilla==4.6.0", "sympy==1.13.1", "tabulate==0.9.0", "tb-nightly==2.21.0a20250824", "tenacity==9.1.4", "tensorboard-data-server==0.7.2", "termcolor==3.1.0", "thefuzz==0.22.1", "threadpoolctl==3.6.0", "thriftpy2==0.4.17", "tifffile==2025.5.10", "timm==0.9.16", "tokenizers==0.21.4", "tomesd==0.1.3", "toml==0.10.2", "tomli==2.2.1", "tomlkit==0.13.3", "torch==2.5.1+cpu", "torchao==0.12.0", "torchaudio==2.5.1+cpu", "torchdiffeq==0.2.3", "torchmetrics==1.1.2", "torchsde==0.2.5", "torchvision==0.20.1+cpu", "tqdm==4.67.1", "trampoline==0.1.2", "transformers==4.49.0", "triton==3.4.0", "ttvcloud==0.0.39", "typer==0.24.1", "typing-inspection==0.4.1", "typing_extensions==4.12.2", "tzdata==2025.2", "ultralytics==8.3.40", "ultralytics-thop==2.0.14", "urllib3==1.26.20", "uuid_utils==0.14.1", "uv==0.8.12", "uvicorn==0.42.0", "viztracer==0.16.3", "volcengine-python-sdk==5.0.17", "voluptuous==0.13.1", "watchdog==3.0.0", "wcwidth==0.2.13", "websockets==16.0", "Werkzeug==3.1.3", "wrapt==1.17.3", "xcffib==1.5.0", "xlrd==2.0.1", "xxhash==3.5.0", "yacs==0.1.8", "yapf==0.43.0", "yarl==1.11.1", "zipp==3.23.0", "zope.event==5.1.1", "zope.interface==8.2", "zprofile==1.0.13", "zstandard==0.25.0", "zstd==1.5.7.2" ], "preserve_pip_freeze": [ "absl-py==2.3.1", "accelerate==1.5.2", "addict==2.4.0", "aiofiles==23.2.1", "aiohappyeyeballs==2.6.1", "aiohttp==3.9.1", "aiosignal==1.3.1", "albumentations==1.3.0", "annotated-types==0.7.0", "antlr4-python3-runtime==4.9.3", "anyio==4.4.0", "async-timeout==4.0.3", "attrs==24.2.0", "basicsr==1.4.2", "beautifulsoup4==4.13.5", "bitsandbytes==0.43.3", "black==24.8.0", "boltons==25.0.0", "byted-pypprof==0.0.5", "byted_pydev==0.0.20", "bytedance-context==0.7.1", "bytedance-ivory==1.1.3.post4", "bytedance.ba-download==0.6.5", "bytedance.metrics==0.4.0", "bytedance.vcloud==1.0.21", 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