Talking Baby Video

Estimated credits: ~150 per run.

Inputs

baby_costume

dialogue

baby_description

Steps

Phase A — Baby Character Generation

1. Baby Image Generation —

   muapi image generate

   (model=

   nano-banana

   or

   wan2.5-text-to-image

   ):
   • Prompt:

     {{baby_description}} sitting and wearing {{baby_costume}}. High-quality photography, soft natural lighting, adorable expression, detailed fabric textures, shallow depth of field, Pixar-like charm but realistic.

   • Aspect ratio: 9:16 or 1:1

Phase B — Talking Animation

1. Talking Animation —

   muapi video from-image

   (model=

   grok-imagine-image-to-video

   ):
   • Reference Image: The baby image from Phase A.
   • Prompt:

     A viral-style talking baby video. The baby is expressive, moving their mouth and head naturally while speaking the following lines: "{{dialogue}}". Subtle facial expressions like blinking and smiling. High-quality animation, smooth movements.

   • Aspect ratio: 9:16 or 1:1

Trigger Keywords

talking baby

viral baby video

baby pilot

baby doctor

funny baby animation

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.