app:
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  name: ' magi-1'
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dependencies:
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version: 0.1.5
workflow:
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        video_file_size_limit: 100
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        title: Start
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        desc: ''
        model:
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          mode: chat
          name: gpt-4o-mini
          provider: langgenius/openai/openai
        prompt_template:
        - id: 5181e4bf-208b-416d-b42c-161f4b847fde
          role: system
          text: "# Role: You are a screenwriter and director.\n\n## Goals：\nYour task\
            \ is to provide a precise, objective, and neutral description of the physical\
            \ appearance of subjects and the environment in the given image. Output\
            \ must begin directly with a description, without introductory phrases\
            \ or framing statements.\n\n### Steps:\n1. Identify the subjects and environment\
            \ in the image. Focus only on their physical appearance.\n2. Reference\
            \ the prompt for any explicitly stated appearance-related details, but\
            \ do not infer any additional attributes or context.\n3. Use precise,\
            \ objective, and neutral language to describe the physical appearance\
            \ of subjects and the environment in the given image. Output must begin\
            \ directly with a description, without introductory phrases or framing\
            \ statements.\n\n\n### Principles\n1. Output should not exceed 80 words.\n\
            2. Describe only **the physical app\nearance** of the subject and environment\
            \ in the image.\n3. Reference only **concrete visual details** provided\
            \ in the prompt.\n4. Avoid describing changes, movements, or transformations.\
            \ The description must represent the image as a single, unchanging moment\
            \ with no references to past or future states.\n5. **Do not infer emotions,\
            \ intentions, mood, symbolism or atmosphere.** Avoid descriptions that\
            \ suggest feelings, intentions, or subjective interpretations (e.g., “shows\
            \ determination,” “enhances the atmosphere”).\n6. Avoid figurative or\
            \ poetic expressions.\n7. Output must begin directly with a description,\
            \ without introductory phrases or framing statements, such as 'The image\
            \ shows'.\n8. Refer to the descriptive structure and language style used\
            \ in the good case.\n\n### Examples: Below are some examples. Please follow\
            \ their descriptive structure and language style. \n1. Medium Close-Up:Dim,\
            \ cool-toned: Medium Close-Up shot of a young man with shoulder-length\
            \ brown hair in a dimly lit hallway. He is positioned slightly off-center,\
            \ more towards the frame right, and oriented towards the frame left. He\
            \ wears a dark blue hooded jacket. Two indistinct figures are visible\
            \ in the blurred background. \n2. Even, soft lighting: A light-skinned\
            \ man with short brown hair holds a small, light-colored object in his\
            \ right hand. he is centered in the frame against a dark gray background.\
            \ he wears a light gray t-shirt and brown accessories.\n3. Medium Close-Up:Natural,\
            \ soft light: A medium close-up shot of a man in an orange jacket, standing\
            \ outdoors against a snowy mountain backdrop. A ski lift is partially\
            \ visible in the background. \n4. Soft, diffused: Three individuals in\
            \ the frame. Woman in green shawl, center, facing right. Man in dark coat\
            \ and hat, left, facing right. Man in dark coat and top hat, right, facing\
            \ right. Brick wall and indistinct industrial objects in background. \n\
            5. Dim, natural light: A young woman with curly brown hair sits in a dark-colored\
            \ wooden chair on a screened-in porch at night. the background is blurred\
            \ dark green foliage.\n6. Photographic:Soft, warm lighting: Two women\
            \ are in a room decorated for christmas. one woman is seated at a desk\
            \ with a laptop, and the other is standing behind her. a christmas tree\
            \ with purple and pink ornaments is in the background. a shelf with greenery\
            \ and a framed photo of a golden retriever is to the right.\n"
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          role: user
          text: 'image is {{#1737637034436.image#}}

            prompt is {{#1737637034436.prompt#}}'
        selected: true
        title: LLM
        type: llm
        variables: []
        vision:
          enabled: false
      height: 90
      id: '1737637085579'
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        y: 282
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        y: 282
      selected: true
      sourcePosition: right
      targetPosition: left
      type: custom
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    - data:
        desc: ''
        outputs:
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          - result
          variable: text
        selected: false
        title: End
        type: end
      height: 90
      id: '1737638112438'
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      type: custom
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    - data:
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          variable_selector: []
        desc: ''
        model:
          completion_params:
            temperature: 0.7
          mode: chat
          name: gpt-4o-mini
          provider: langgenius/openai/openai
        prompt_template:
        - id: ddb68185-7de2-4b87-aed3-ebac1f6cec26
          role: system
          text: "# Role: You are an expert in dynamic video scene design, specializing\
            \ in deriving and describing how videos dynamically evolve from their\
            \ first frame based on the user’s prompt.\n\n## Context: \n1. Image as\
            \ the First Frame\nThe provided image represents the first frame of the\
            \ video. It serves as the starting point for all dynamic changes and interactions\
            \ described in the video.\n2. Prompt as a Guide\nThe user’s prompt provides\
            \ expectations for how the video should progress, including dynamic interactions,\
            \ changes, and any specific instructions about the video environment.\n\
            \n## Goals：\nYour goal is to describe the dynamic changes of the main\
            \ subjects, starting from the first frame and evolving based on the user’s\
            \ prompt.\n\n### Steps\n1. Analyze the main subjects and environmental\
            \ elements present in the first frame of the image.\n2. Deriving and describing\
            \ the dynamic changes of main subjects in videos based on the input prompt.\
            \ Descriptions must include all behaviors and changes specified in the\
            \ user’s prompt, ensuring complete coverage.\n3. Analyze the user’s prompt\
            \ to determine the desired motion or transformation. If the prompt lacks\
            \ a complete description, infer and reasonably supplement the missing\
            \ details based on the main subject in the provided image.\n4. Appropriately\
            \ and reasonably describe the changes in other elements within the environment.\
            \ To make the video more authentic and engaging.\n5. Describe the Camera\
            \ Movement:\n\t• If the prompt specifies camera movement(such as 'static',\
            \ 'tracking shot', 'dolly in', 'dolly out', 'zoom in', 'zoom out', 'pan\
            \ left', 'pan right', 'tilt up', 'tilt down', etc.): Describe the movement\
            \ of the camera based on the prompt. Ensure the camera movement is seamlessly\
            \ and reasonably integrated into the description.\n\t• If the prompt unspecifies\
            \ camera movement: \n\t  •\tFor static scenes, strictly output the following\
            \ sentence in full, replacing “[main subject]” with the specific subject:\
            \ 'The camera remains static, the [main subject] is centered in the shot.'\n\
            \t  •\tFor dynamic scenes, strictly output the following sentence in full,\
            \ replacing “[main subject]” with the specific subject: 'The camera keeps\
            \ focusing on the [main subject], ensuring [main subject] stays consistently\
            \ at the center of the shot.'\n\n### Principles\n1. Use **objective, precise\
            \ and factual language**. \n2. Descriptions of behavior and actions should\
            \ focus solely on the main subjects.\n3. Descriptions must include all\
            \ behaviors and changes specified in the user’s prompt, ensuring complete\
            \ coverage.\n4. Unless explicitly specified in the user’s prompt, do not\
            \ describe elements that do not appear in the first frame.\n5. Do not\
            \ describe the detail of the first frame image.\n6. Provide a description\
            \ directly without applying any specific format. Avoid transitional or\
            \ process-based phrases such as \"As the video progresses\", \"The video\
            \ features\", \"Over time\", or \"Next\".\n7.\tDo not describe symbolic\
            \ meanings or atmospheres (e.g., “conveys determination,” “enhances the\
            \ mood,” “emphasizes struggle,” “creates a sense of mystery”).\n8.\tDo\
            \ not use metaphors or poetic expressions (e.g., “moonlight dancing on\
            \ the water”).\n9.\tDo not evaluate content, skill, or presentation (e.g.,\
            \ “demonstrates,” “reveals,” “highlights”).\n\n\n\n### Examples: Below\
            \ are some examples. Please follow their descriptive structure and language\
            \ style. \n1. A young woman with long brown hair runs along a boardwalk,\
            \ her hair continues to blow in the wind.\n2. The man's arms are initially\
            \ raised above his head, then he lowers them to his sides.\n3. A man is\
            \ boxing with blue gloves, the other man observes. The older man in the\
            \ gray hoodie stops shadow boxing and looks at the other man.\n4. A young\
            \ woman is walking in shallow ocean water on a beach. The woman’s skirt\
            \ flows more dramatically as she moves. he waves gently splash against\
            \ her legs. \n5. The young man continues to smoke, his body slightly hunched.\
            \ He exhales a plume of smoke, his head tilted back slightly. He continues\
            \ to smoke, his expression still somewhat pensive.\n "
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          role: user
          text: 'first frame is {{#1737637034436.image#}}

            prompt is {{#1737637034436.prompt#}}

            '
        selected: false
        title: LLM 2
        type: llm
        variables: []
        vision:
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    - data:
        code: "\ndef main(arg1: str, arg2: str) -> dict:\n    return {\n        \"\
          result\": arg1 + arg2 + 'hyper quality, Ultra HD, 8K.',\n    }\n"
        code_language: python3
        desc: ''
        outputs:
          result:
            children: null
            type: string
        selected: false
        title: Merge
        type: code
        variables:
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