opencode Skill

muapi-selfie-with-celebrities

Generate a realistic behind-the-scenes selfie of the user with a celebrity or main actor from a specific movie, followed by an option to generate a cinematic long-take video connecting multiple selfies.

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Download samuraigpt-generative-media-skills-library_visual_selfie-with-celebrities-74df8cb.zip · 1 KB
Part of samuraigpt/generative-media-skills — 72 skills

Install

skills CLI npx skills add https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/visual/selfie-with-celebrities
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install samuraigpt-generative-media-skills@llmmart
Git git clone https://github.com/SamurAIGPT/Generative-Media-Skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole samuraigpt/generative-media-skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Selfie with Celebrities

Generate a realistic behind-the-scenes selfie of the user with a celebrity or main actor from a specific movie, followed by an option to generate a cinematic long-take video connecting multiple selfies.

Inputs

Name Type Required Default Description
movie_name text yes — The name of the movie featuring the celebrity you want to take a selfie with (e.g., "Harry Potter", "The Matrix").
user_image image_url yes — A clear photo of the user to be used for the selfie.

Steps

Phase A — Generate First Selfie Image

If the {{user_image}} is not provided, ask the user to upload their image first.

Once provided, submit the plan with ONE step:

  1. Selfie Image Generation — muapi image edit (model=nano-banana-2-edit):
    • Reference Image: {{user_image}}
    • Prompt: POV: close up shot, A realistic photo of the person (don't change the person's original clothes) holding a black iPhone 16 to take a picture with the main actor from the movie "{{movie_name}}" on a movie set with movie scene background. Behind-the-scenes atmosphere, including film equipment, film cameras, filled with props, and busy crew members. Sharp focus on the characters. bright scene. Aspect ratio 9:16.
    • Aspect ratio: 9:16

After generating the first image:

  • Present the generated selfie to the user.
  • Ask the user if they would like to create a second, third, etc. image with different movies or actors.
  • Also, suggest to the user that once they have multiple images, you can create a seamless cinematic video transitioning between the selfies.

Phase B — Generate Connecting Video (Only when requested)

If the user has generated at least two selfies and asks to create a video connecting them, submit the plan with ONE step:

  1. Cinematic Video Generation — Use an image-to-video model like kling-o1-image-to-video, pixverse-v5.5-i2v, or veo3.1-image-to-video.
    • First frame image: The first generated selfie.
    • Last frame image: The second generated selfie (or use multiple steps if connecting more than two).
    • Prompt: A seamless cinematic long-take. The camera follows a person as she finishes a photo with an actor, then she naturally turns and walks toward the right. The camera tracks her movement with a smooth gimbal-like motion. Her gait is consistent and confident. Upon entering a new behind-the-scenes movie set, she slows down and stops gracefully, raising her phone with a bright smile to take a selfie with two actors. The scene transition is natural and smooth, with a seamless connection.
    • Aspect ratio: 9:16

After generation:

  • Present the video to the user.

Trigger Keywords

selfie with celebrity, movie star selfie, celebrity photo, take a picture with actor, behind the scenes selfie


Notes for the Executing Agent

  • This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.
  • For model IDs without a CLI alias yet, fall back to the raw endpoint via curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}' and poll with muapi predict wait <request_id>.
  • Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.
Files (generative-media-skills)
  • SKILL.md 3.7 KB
    ---
    slug: muapi-selfie-with-celebrities
    name: muapi-selfie-with-celebrities
    version: "1.0.0"
    description: Generate a realistic behind-the-scenes selfie of the user with a celebrity or main actor from a specific movie, followed by an option to generate a cinematic long-take video connecting multiple selfies.
    acceptLicenseTerms: true
    ---
    
    
    # Selfie with Celebrities
    
    **Generate a realistic behind-the-scenes selfie of the user with a celebrity or main actor from a specific movie, followed by an option to generate a cinematic long-take video connecting multiple selfies.**
    
    ## Inputs
    
    | Name | Type | Required | Default | Description |
    |:---|:---|:---|:---|:---|
    | `movie_name` | text | yes | — | The name of the movie featuring the celebrity you want to take a selfie with (e.g., "Harry Potter", "The Matrix"). |
    | `user_image` | image_url | yes | — | A clear photo of the user to be used for the selfie. |
    
    
    ## Steps
    
    ### Phase A — Generate First Selfie Image
    
    If the `{{user_image}}` is not provided, ask the user to upload their image first.
    
    Once provided, submit the plan with ONE step:
    
    1. **Selfie Image Generation** — `muapi image edit` (model=`nano-banana-2-edit`):
       - Reference Image: `{{user_image}}`
       - Prompt: `POV: close up shot, A realistic photo of the person (don't change the person's original clothes) holding a black iPhone 16 to take a picture with the main actor from the movie "{{movie_name}}" on a movie set with movie scene background. Behind-the-scenes atmosphere, including film equipment, film cameras, filled with props, and busy crew members. Sharp focus on the characters. bright scene. Aspect ratio 9:16.`
       - Aspect ratio: 9:16
    
    After generating the first image:
    - Present the generated selfie to the user.
    - Ask the user if they would like to create a second, third, etc. image with different movies or actors.
    - Also, suggest to the user that once they have multiple images, you can create a seamless cinematic video transitioning between the selfies.
    
    ### Phase B — Generate Connecting Video (Only when requested)
    
    If the user has generated at least two selfies and asks to create a video connecting them, submit the plan with ONE step:
    
    1. **Cinematic Video Generation** — Use an image-to-video model like `kling-o1-image-to-video`, `pixverse-v5.5-i2v`, or `veo3.1-image-to-video`.
       - First frame image: The first generated selfie.
       - Last frame image: The second generated selfie (or use multiple steps if connecting more than two).
       - Prompt: `A seamless cinematic long-take. The camera follows a person as she finishes a photo with an actor, then she naturally turns and walks toward the right. The camera tracks her movement with a smooth gimbal-like motion. Her gait is consistent and confident. Upon entering a new behind-the-scenes movie set, she slows down and stops gracefully, raising her phone with a bright smile to take a selfie with two actors. The scene transition is natural and smooth, with a seamless connection.`
       - Aspect ratio: 9:16
    
    After generation:
    - Present the video to the user.
    
    ## Trigger Keywords
    
    `selfie with celebrity`, `movie star selfie`, `celebrity photo`, `take a picture with actor`, `behind the scenes selfie`
    
    
    ---
    
    ## Notes for the Executing Agent
    
    - This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call `muapi` CLI commands. Use `muapi auth configure` first if `MUAPI_API_KEY` is unset.
    - For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with `muapi predict wait <request_id>`.
    - Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.
    

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