Talking baby video

Talking Baby Video

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

Inputs

Name	Type	Required	Default	Description
baby_costume	text	no	a pilot uniform	The costume the baby is wearing (e.g., doctor, chef, pilot).
dialogue	text	no	Airbus A380 big plane! Go zoom! Have lots seats. People like fly in it. Best plane ever!	The script for the baby to say.
baby_description	text	no	A cute 6 months old male baby	Description of the baby.

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

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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.