Talking Baby Video

Create a viral-style video of a talking baby with custom costumes and scripts.

Inputs

Steps

Phase A — Baby Character Generation

Submit the plan with ONE step to create the baby character:

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

Present the baby image to the user for approval.

Phase B — Talking Animation

Once the image is approved, submit the plan to animate the baby talking:

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

After generation, present the final talking baby video.

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.